From 7e905f4decc006cf77e7077f9cb37e8678650a48 Mon Sep 17 00:00:00 2001
From: GitHub Actions <actions@github.com>
Date: Sat, 27 Jan 2024 11:34:39 +0000
Subject: [PATCH] Update documentation

---
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+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
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+</script>
+    <script async="async" src="../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -439,7 +449,7 @@ <h1>All modules for which code is available</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
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   </p>
@@ -463,8 +473,8 @@ <h1>All modules for which code is available</h1>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/datasets/amazon_reviews.html b/_modules/recommenders/datasets/amazon_reviews.html
index 60a04bd26..b6eff15de 100644
--- a/_modules/recommenders/datasets/amazon_reviews.html
+++ b/_modules/recommenders/datasets/amazon_reviews.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/amazon_reviews';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -345,7 +355,9 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="get_review_data"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.get_review_data">[docs]</a><span class="k">def</span> <span class="nf">get_review_data</span><span class="p">(</span><span class="n">reviews_file</span><span class="p">):</span>
+<div class="viewcode-block" id="get_review_data">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.get_review_data">[docs]</a>
+<span class="k">def</span> <span class="nf">get_review_data</span><span class="p">(</span><span class="n">reviews_file</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Downloads amazon review data (only), prepares in the required format</span>
 <span class="sd">    and stores in the same location</span>
 
@@ -358,7 +370,10 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
     <span class="k">return</span> <span class="n">reviews_output</span></div>
 
 
-<div class="viewcode-block" id="data_preprocessing"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.data_preprocessing">[docs]</a><span class="k">def</span> <span class="nf">data_preprocessing</span><span class="p">(</span>
+
+<div class="viewcode-block" id="data_preprocessing">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.data_preprocessing">[docs]</a>
+<span class="k">def</span> <span class="nf">data_preprocessing</span><span class="p">(</span>
     <span class="n">reviews_file</span><span class="p">,</span>
     <span class="n">meta_file</span><span class="p">,</span>
     <span class="n">train_file</span><span class="p">,</span>
@@ -396,6 +411,7 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
     <span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_create_vocab</span><span class="p">(</span><span class="n">train_file</span><span class="p">,</span> <span class="n">user_vocab</span><span class="p">,</span> <span class="n">item_vocab</span><span class="p">,</span> <span class="n">cate_vocab</span><span class="p">):</span>
 
     <span class="n">f_train</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">train_file</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span>
@@ -824,7 +840,9 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
     <span class="k">return</span> <span class="n">output_file</span>
 
 
-<div class="viewcode-block" id="download_and_extract"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.download_and_extract">[docs]</a><span class="k">def</span> <span class="nf">download_and_extract</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
+<div class="viewcode-block" id="download_and_extract">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.download_and_extract">[docs]</a>
+<span class="k">def</span> <span class="nf">download_and_extract</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Downloads and extracts Amazon reviews and meta datafiles if they don’t already exist</span>
 
 <span class="sd">    Args:</span>
@@ -846,6 +864,7 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
     <span class="k">return</span> <span class="n">file_path</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_download_reviews</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Downloads Amazon reviews datafile.</span>
 
@@ -916,7 +935,7 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -940,8 +959,8 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/datasets/covid_utils.html b/_modules/recommenders/datasets/covid_utils.html
index fbd6c9dc9..8ca1a258d 100644
--- a/_modules/recommenders/datasets/covid_utils.html
+++ b/_modules/recommenders/datasets/covid_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/covid_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/covid_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
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 </form></div>
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   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -334,7 +344,9 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
 <span class="kn">import</span> <span class="nn">requests</span>
 
 
-<div class="viewcode-block" id="load_pandas_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.load_pandas_df">[docs]</a><span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span>
+<div class="viewcode-block" id="load_pandas_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.load_pandas_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span>
     <span class="n">azure_storage_account_name</span><span class="o">=</span><span class="s2">&quot;azureopendatastorage&quot;</span><span class="p">,</span>
     <span class="n">azure_storage_sas_token</span><span class="o">=</span><span class="s2">&quot;&quot;</span><span class="p">,</span>
     <span class="n">container_name</span><span class="o">=</span><span class="s2">&quot;covid19temp&quot;</span><span class="p">,</span>
@@ -364,7 +376,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">uri</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="remove_duplicates"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.remove_duplicates">[docs]</a><span class="k">def</span> <span class="nf">remove_duplicates</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">cols</span><span class="p">):</span>
+
+<div class="viewcode-block" id="remove_duplicates">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.remove_duplicates">[docs]</a>
+<span class="k">def</span> <span class="nf">remove_duplicates</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">cols</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Remove duplicated entries.</span>
 
 <span class="sd">    Args:</span>
@@ -388,7 +403,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="remove_nan"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.remove_nan">[docs]</a><span class="k">def</span> <span class="nf">remove_nan</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">cols</span><span class="p">):</span>
+
+<div class="viewcode-block" id="remove_nan">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.remove_nan">[docs]</a>
+<span class="k">def</span> <span class="nf">remove_nan</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">cols</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Remove rows with NaN values in specified column.</span>
 
 <span class="sd">    Args:</span>
@@ -409,7 +427,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="clean_dataframe"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.clean_dataframe">[docs]</a><span class="k">def</span> <span class="nf">clean_dataframe</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="clean_dataframe">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.clean_dataframe">[docs]</a>
+<span class="k">def</span> <span class="nf">clean_dataframe</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Clean up the dataframe.</span>
 
 <span class="sd">    Args:</span>
@@ -430,7 +451,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="retrieve_text"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.retrieve_text">[docs]</a><span class="k">def</span> <span class="nf">retrieve_text</span><span class="p">(</span>
+
+<div class="viewcode-block" id="retrieve_text">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.retrieve_text">[docs]</a>
+<span class="k">def</span> <span class="nf">retrieve_text</span><span class="p">(</span>
     <span class="n">entry</span><span class="p">,</span>
     <span class="n">container_name</span><span class="p">,</span>
     <span class="n">azure_storage_account_name</span><span class="o">=</span><span class="s2">&quot;azureopendatastorage&quot;</span><span class="p">,</span>
@@ -468,7 +492,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">text</span></div>
 
 
-<div class="viewcode-block" id="get_public_domain_text"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.get_public_domain_text">[docs]</a><span class="k">def</span> <span class="nf">get_public_domain_text</span><span class="p">(</span>
+
+<div class="viewcode-block" id="get_public_domain_text">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.get_public_domain_text">[docs]</a>
+<span class="k">def</span> <span class="nf">get_public_domain_text</span><span class="p">(</span>
     <span class="n">df</span><span class="p">,</span>
     <span class="n">container_name</span><span class="p">,</span>
     <span class="n">azure_storage_account_name</span><span class="o">=</span><span class="s2">&quot;azureopendatastorage&quot;</span><span class="p">,</span>
@@ -517,6 +544,7 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="n">df_full</span> <span class="o">=</span> <span class="n">df_full</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
 
     <span class="k">return</span> <span class="n">df_full</span></div>
+
 </pre></div>
 
                 </article>
@@ -557,7 +585,7 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -581,8 +609,8 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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   <footer class="bd-footer">
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diff --git a/_modules/recommenders/datasets/criteo.html b/_modules/recommenders/datasets/criteo.html
index 4d78d0a0f..b36ae7504 100644
--- a/_modules/recommenders/datasets/criteo.html
+++ b/_modules/recommenders/datasets/criteo.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
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+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/criteo';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/criteo.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -354,7 +364,9 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="load_pandas_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.load_pandas_df">[docs]</a><span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="n">local_cache_path</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">):</span>
+<div class="viewcode-block" id="load_pandas_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.load_pandas_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="n">local_cache_path</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Loads the Criteo DAC dataset as `pandas.DataFrame`. This function download, untar, and load the dataset.</span>
 
 <span class="sd">    The dataset consists of a portion of Criteo’s traffic over a period</span>
@@ -389,7 +401,10 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="load_spark_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.load_spark_df">[docs]</a><span class="k">def</span> <span class="nf">load_spark_df</span><span class="p">(</span>
+
+<div class="viewcode-block" id="load_spark_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.load_spark_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_spark_df</span><span class="p">(</span>
     <span class="n">spark</span><span class="p">,</span>
     <span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span>
     <span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">,</span>
@@ -451,7 +466,10 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="download_criteo"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.download_criteo">[docs]</a><span class="k">def</span> <span class="nf">download_criteo</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="s2">&quot;.&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="download_criteo">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.download_criteo">[docs]</a>
+<span class="k">def</span> <span class="nf">download_criteo</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="s2">&quot;.&quot;</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download criteo dataset as a compressed file.</span>
 
 <span class="sd">    Args:</span>
@@ -466,7 +484,10 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">maybe_download</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="n">work_directory</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="extract_criteo"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.extract_criteo">[docs]</a><span class="k">def</span> <span class="nf">extract_criteo</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">compressed_file</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="extract_criteo">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.extract_criteo">[docs]</a>
+<span class="k">def</span> <span class="nf">extract_criteo</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">compressed_file</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Extract Criteo dataset tar.</span>
 
 <span class="sd">    Args:</span>
@@ -510,7 +531,10 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">extracted_dir</span><span class="p">,</span> <span class="n">filename_selector</span><span class="p">[</span><span class="n">size</span><span class="p">])</span></div>
 
 
-<div class="viewcode-block" id="get_spark_schema"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.get_spark_schema">[docs]</a><span class="k">def</span> <span class="nf">get_spark_schema</span><span class="p">(</span><span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_spark_schema">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.get_spark_schema">[docs]</a>
+<span class="k">def</span> <span class="nf">get_spark_schema</span><span class="p">(</span><span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get Spark schema from header.</span>
 
 <span class="sd">    Args:</span>
@@ -529,6 +553,7 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">26</span><span class="p">):</span>
         <span class="n">schema</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">StructField</span><span class="p">(</span><span class="n">header</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="n">n_ints</span><span class="p">],</span> <span class="n">StringType</span><span class="p">()))</span>
     <span class="k">return</span> <span class="n">schema</span></div>
+
 </pre></div>
 
                 </article>
@@ -569,7 +594,7 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -593,8 +618,8 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/datasets/download_utils.html b/_modules/recommenders/datasets/download_utils.html
index 7dcaecb1e..051aaaee2 100644
--- a/_modules/recommenders/datasets/download_utils.html
+++ b/_modules/recommenders/datasets/download_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/download_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/download_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
 <span class="n">log</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="maybe_download"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.maybe_download">[docs]</a><span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+<div class="viewcode-block" id="maybe_download">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.maybe_download">[docs]</a>
+<span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">maybe_download</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="s2">&quot;.&quot;</span><span class="p">,</span> <span class="n">expected_bytes</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download a file if it is not already downloaded.</span>
 
@@ -389,7 +401,10 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
     <span class="k">return</span> <span class="n">filepath</span></div>
 
 
-<div class="viewcode-block" id="download_path"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.download_path">[docs]</a><span class="nd">@contextmanager</span>
+
+<div class="viewcode-block" id="download_path">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.download_path">[docs]</a>
+<span class="nd">@contextmanager</span>
 <span class="k">def</span> <span class="nf">download_path</span><span class="p">(</span><span class="n">path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Return a path to download data. If `path=None`, then it yields a temporal path that is eventually deleted,</span>
 <span class="sd">    otherwise the real path of the input.</span>
@@ -416,7 +431,10 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
         <span class="k">yield</span> <span class="n">path</span></div>
 
 
-<div class="viewcode-block" id="unzip_file"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.unzip_file">[docs]</a><span class="k">def</span> <span class="nf">unzip_file</span><span class="p">(</span><span class="n">zip_src</span><span class="p">,</span> <span class="n">dst_dir</span><span class="p">,</span> <span class="n">clean_zip_file</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="unzip_file">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.unzip_file">[docs]</a>
+<span class="k">def</span> <span class="nf">unzip_file</span><span class="p">(</span><span class="n">zip_src</span><span class="p">,</span> <span class="n">dst_dir</span><span class="p">,</span> <span class="n">clean_zip_file</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Unzip a file</span>
 
 <span class="sd">    Args:</span>
@@ -429,6 +447,7 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
         <span class="n">fz</span><span class="o">.</span><span class="n">extract</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">dst_dir</span><span class="p">)</span>
     <span class="k">if</span> <span class="n">clean_zip_file</span><span class="p">:</span>
         <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">zip_src</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -469,7 +488,7 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -493,8 +512,8 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/datasets/mind.html b/_modules/recommenders/datasets/mind.html
index 669178b37..b0dfd6486 100644
--- a/_modules/recommenders/datasets/mind.html
+++ b/_modules/recommenders/datasets/mind.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
-    <script src="../../../_static/jquery.js"></script>
-    <script src="../../../_static/underscore.js"></script>
-    <script src="../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../_static/doctools.js"></script>
-    <script src="../../../_static/clipboard.min.js"></script>
-    <script src="../../../_static/copybutton.js"></script>
-    <script src="../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/mind';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/mind.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -376,7 +386,9 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="download_mind"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.download_mind">[docs]</a><span class="k">def</span> <span class="nf">download_mind</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;small&quot;</span><span class="p">,</span> <span class="n">dest_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="download_mind">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.download_mind">[docs]</a>
+<span class="k">def</span> <span class="nf">download_mind</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;small&quot;</span><span class="p">,</span> <span class="n">dest_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download MIND dataset</span>
 
 <span class="sd">    Args:</span>
@@ -396,7 +408,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">train_path</span><span class="p">,</span> <span class="n">valid_path</span></div>
 
 
-<div class="viewcode-block" id="extract_mind"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.extract_mind">[docs]</a><span class="k">def</span> <span class="nf">extract_mind</span><span class="p">(</span>
+
+<div class="viewcode-block" id="extract_mind">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.extract_mind">[docs]</a>
+<span class="k">def</span> <span class="nf">extract_mind</span><span class="p">(</span>
     <span class="n">train_zip</span><span class="p">,</span>
     <span class="n">valid_zip</span><span class="p">,</span>
     <span class="n">train_folder</span><span class="o">=</span><span class="s2">&quot;train&quot;</span><span class="p">,</span>
@@ -422,7 +437,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">train_path</span><span class="p">,</span> <span class="n">valid_path</span></div>
 
 
-<div class="viewcode-block" id="read_clickhistory"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.read_clickhistory">[docs]</a><span class="k">def</span> <span class="nf">read_clickhistory</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="read_clickhistory">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.read_clickhistory">[docs]</a>
+<span class="k">def</span> <span class="nf">read_clickhistory</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Read click history file</span>
 
 <span class="sd">    Args:</span>
@@ -454,6 +472,7 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">sessions</span><span class="p">,</span> <span class="n">userid_history</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_newsample</span><span class="p">(</span><span class="n">nnn</span><span class="p">,</span> <span class="n">ratio</span><span class="p">):</span>
     <span class="k">if</span> <span class="n">ratio</span> <span class="o">&gt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">nnn</span><span class="p">):</span>
         <span class="k">return</span> <span class="n">random</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">nnn</span> <span class="o">*</span> <span class="p">(</span><span class="n">ratio</span> <span class="o">//</span> <span class="nb">len</span><span class="p">(</span><span class="n">nnn</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">),</span> <span class="n">ratio</span><span class="p">)</span>
@@ -461,7 +480,9 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">random</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">nnn</span><span class="p">,</span> <span class="n">ratio</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="get_train_input"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_train_input">[docs]</a><span class="k">def</span> <span class="nf">get_train_input</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">train_file_path</span><span class="p">,</span> <span class="n">npratio</span><span class="o">=</span><span class="mi">4</span><span class="p">):</span>
+<div class="viewcode-block" id="get_train_input">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_train_input">[docs]</a>
+<span class="k">def</span> <span class="nf">get_train_input</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">train_file_path</span><span class="p">,</span> <span class="n">npratio</span><span class="o">=</span><span class="mi">4</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate train file.</span>
 
 <span class="sd">    Args:</span>
@@ -486,7 +507,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error when generating </span><span class="si">{</span><span class="n">train_file_path</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_valid_input"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_valid_input">[docs]</a><span class="k">def</span> <span class="nf">get_valid_input</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">valid_file_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_valid_input">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_valid_input">[docs]</a>
+<span class="k">def</span> <span class="nf">get_valid_input</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">valid_file_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate validation file.</span>
 
 <span class="sd">    Args:</span>
@@ -511,7 +535,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error when generating </span><span class="si">{</span><span class="n">valid_file_path</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_user_history"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_user_history">[docs]</a><span class="k">def</span> <span class="nf">get_user_history</span><span class="p">(</span><span class="n">train_history</span><span class="p">,</span> <span class="n">valid_history</span><span class="p">,</span> <span class="n">user_history_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_user_history">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_user_history">[docs]</a>
+<span class="k">def</span> <span class="nf">get_user_history</span><span class="p">(</span><span class="n">train_history</span><span class="p">,</span> <span class="n">valid_history</span><span class="p">,</span> <span class="n">user_history_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate user history file.</span>
 
 <span class="sd">    Args:</span>
@@ -535,6 +562,7 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error when generating </span><span class="si">{</span><span class="n">user_history_path</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_read_news</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">news_words</span><span class="p">,</span> <span class="n">news_entities</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">):</span>
     <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
         <span class="n">lines</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">readlines</span><span class="p">()</span>
@@ -549,7 +577,9 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">news_words</span><span class="p">,</span> <span class="n">news_entities</span>
 
 
-<div class="viewcode-block" id="get_words_and_entities"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_words_and_entities">[docs]</a><span class="k">def</span> <span class="nf">get_words_and_entities</span><span class="p">(</span><span class="n">train_news</span><span class="p">,</span> <span class="n">valid_news</span><span class="p">):</span>
+<div class="viewcode-block" id="get_words_and_entities">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_words_and_entities">[docs]</a>
+<span class="k">def</span> <span class="nf">get_words_and_entities</span><span class="p">(</span><span class="n">train_news</span><span class="p">,</span> <span class="n">valid_news</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Load words and entities</span>
 
 <span class="sd">    Args:</span>
@@ -571,7 +601,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">news_words</span><span class="p">,</span> <span class="n">news_entities</span></div>
 
 
-<div class="viewcode-block" id="download_and_extract_glove"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.download_and_extract_glove">[docs]</a><span class="k">def</span> <span class="nf">download_and_extract_glove</span><span class="p">(</span><span class="n">dest_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="download_and_extract_glove">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.download_and_extract_glove">[docs]</a>
+<span class="k">def</span> <span class="nf">download_and_extract_glove</span><span class="p">(</span><span class="n">dest_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download and extract the Glove embedding</span>
 
 <span class="sd">    Args:</span>
@@ -588,7 +621,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">glove_path</span></div>
 
 
-<div class="viewcode-block" id="generate_embeddings"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.generate_embeddings">[docs]</a><span class="k">def</span> <span class="nf">generate_embeddings</span><span class="p">(</span>
+
+<div class="viewcode-block" id="generate_embeddings">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.generate_embeddings">[docs]</a>
+<span class="k">def</span> <span class="nf">generate_embeddings</span><span class="p">(</span>
     <span class="n">data_path</span><span class="p">,</span>
     <span class="n">news_words</span><span class="p">,</span>
     <span class="n">news_entities</span><span class="p">,</span>
@@ -723,7 +759,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">news_feature_path</span><span class="p">,</span> <span class="n">word_embeddings_path</span><span class="p">,</span> <span class="n">entity_embeddings_path</span></div>
 
 
-<div class="viewcode-block" id="load_glove_matrix"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.load_glove_matrix">[docs]</a><span class="k">def</span> <span class="nf">load_glove_matrix</span><span class="p">(</span><span class="n">path_emb</span><span class="p">,</span> <span class="n">word_dict</span><span class="p">,</span> <span class="n">word_embedding_dim</span><span class="p">):</span>
+
+<div class="viewcode-block" id="load_glove_matrix">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.load_glove_matrix">[docs]</a>
+<span class="k">def</span> <span class="nf">load_glove_matrix</span><span class="p">(</span><span class="n">path_emb</span><span class="p">,</span> <span class="n">word_dict</span><span class="p">,</span> <span class="n">word_embedding_dim</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Load pretrained embedding metrics of words in word_dict</span>
 
 <span class="sd">    Args:</span>
@@ -752,7 +791,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">embedding_matrix</span><span class="p">,</span> <span class="n">exist_word</span></div>
 
 
-<div class="viewcode-block" id="word_tokenize"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.word_tokenize">[docs]</a><span class="k">def</span> <span class="nf">word_tokenize</span><span class="p">(</span><span class="n">sent</span><span class="p">):</span>
+
+<div class="viewcode-block" id="word_tokenize">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.word_tokenize">[docs]</a>
+<span class="k">def</span> <span class="nf">word_tokenize</span><span class="p">(</span><span class="n">sent</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Tokenize a sententence</span>
 
 <span class="sd">    Args:</span>
@@ -768,6 +810,7 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">pat</span><span class="o">.</span><span class="n">findall</span><span class="p">(</span><span class="n">sent</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="k">return</span> <span class="p">[]</span></div>
+
 </pre></div>
 
                 </article>
@@ -808,7 +851,7 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -832,8 +875,8 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/datasets/movielens.html b/_modules/recommenders/datasets/movielens.html
index 5026d8ab5..f9722e74b 100644
--- a/_modules/recommenders/datasets/movielens.html
+++ b/_modules/recommenders/datasets/movielens.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
-    <script src="../../../_static/jquery.js"></script>
-    <script src="../../../_static/underscore.js"></script>
-    <script src="../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../_static/doctools.js"></script>
-    <script src="../../../_static/clipboard.min.js"></script>
-    <script src="../../../_static/copybutton.js"></script>
-    <script src="../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/movielens';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/movielens.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -477,7 +487,9 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
 <span class="n">ERROR_HEADER</span> <span class="o">=</span> <span class="s2">&quot;Header error. At least user and movie column names should be provided&quot;</span>
 
 
-<div class="viewcode-block" id="load_pandas_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_pandas_df">[docs]</a><span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span>
+<div class="viewcode-block" id="load_pandas_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_pandas_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span>
     <span class="n">size</span><span class="o">=</span><span class="s2">&quot;100k&quot;</span><span class="p">,</span>
     <span class="n">header</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">local_cache_path</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -579,7 +591,10 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="load_item_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_item_df">[docs]</a><span class="k">def</span> <span class="nf">load_item_df</span><span class="p">(</span>
+
+<div class="viewcode-block" id="load_item_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_item_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_item_df</span><span class="p">(</span>
     <span class="n">size</span><span class="o">=</span><span class="s2">&quot;100k&quot;</span><span class="p">,</span>
     <span class="n">local_cache_path</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">movie_col</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span><span class="p">,</span>
@@ -616,6 +631,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">item_df</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_load_item_df</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">item_datapath</span><span class="p">,</span> <span class="n">movie_col</span><span class="p">,</span> <span class="n">title_col</span><span class="p">,</span> <span class="n">genres_col</span><span class="p">,</span> <span class="n">year_col</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Loads Movie info&quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="n">title_col</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">genres_col</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">year_col</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
@@ -681,7 +697,9 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">item_df</span>
 
 
-<div class="viewcode-block" id="load_spark_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_spark_df">[docs]</a><span class="k">def</span> <span class="nf">load_spark_df</span><span class="p">(</span>
+<div class="viewcode-block" id="load_spark_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_spark_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_spark_df</span><span class="p">(</span>
     <span class="n">spark</span><span class="p">,</span>
     <span class="n">size</span><span class="o">=</span><span class="s2">&quot;100k&quot;</span><span class="p">,</span>
     <span class="n">header</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -822,6 +840,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">df</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_get_schema</span><span class="p">(</span><span class="n">header</span><span class="p">,</span> <span class="n">schema</span><span class="p">):</span>
     <span class="k">if</span> <span class="n">schema</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">schema</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
         <span class="c1"># Use header to generate schema</span>
@@ -870,7 +889,9 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">rating_path</span><span class="p">,</span> <span class="n">item_path</span>
 
 
-<div class="viewcode-block" id="download_movielens"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.download_movielens">[docs]</a><span class="k">def</span> <span class="nf">download_movielens</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
+<div class="viewcode-block" id="download_movielens">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.download_movielens">[docs]</a>
+<span class="k">def</span> <span class="nf">download_movielens</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Downloads MovieLens datafile.</span>
 
 <span class="sd">    Args:</span>
@@ -885,7 +906,10 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="n">maybe_download</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">file</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="n">dirs</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="extract_movielens"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.extract_movielens">[docs]</a><span class="k">def</span> <span class="nf">extract_movielens</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">rating_path</span><span class="p">,</span> <span class="n">item_path</span><span class="p">,</span> <span class="n">zip_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="extract_movielens">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.extract_movielens">[docs]</a>
+<span class="k">def</span> <span class="nf">extract_movielens</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">rating_path</span><span class="p">,</span> <span class="n">item_path</span><span class="p">,</span> <span class="n">zip_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Extract MovieLens rating and item datafiles from the MovieLens raw zip file.</span>
 
 <span class="sd">    To extract all files instead of just rating and item datafiles,</span>
@@ -904,13 +928,16 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
             <span class="n">shutil</span><span class="o">.</span><span class="n">copyfileobj</span><span class="p">(</span><span class="n">zf</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span></div>
 
 
+
 <span class="c1"># For more information on data synthesis, see https://pandera.readthedocs.io/en/latest/data_synthesis_strategies.html</span>
 <span class="nd">@extensions</span><span class="o">.</span><span class="n">register_check_method</span><span class="p">(</span><span class="n">statistics</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;columns&quot;</span><span class="p">],</span> <span class="n">supported_types</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">unique_columns</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">columns</span><span class="p">):</span>
     <span class="k">return</span> <span class="ow">not</span> <span class="n">df</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">duplicated</span><span class="p">()</span><span class="o">.</span><span class="n">any</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="MockMovielensSchema"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema">[docs]</a><span class="k">class</span> <span class="nc">MockMovielensSchema</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">SchemaModel</span><span class="p">):</span>
+<div class="viewcode-block" id="MockMovielensSchema">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema">[docs]</a>
+<span class="k">class</span> <span class="nc">MockMovielensSchema</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">SchemaModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Mock dataset schema to generate fake data for testing purpose.</span>
 <span class="sd">    This schema is configured to mimic the Movielens dataset</span>
@@ -939,7 +966,9 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="n">title</span><span class="p">:</span> <span class="n">Series</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="n">Field</span><span class="p">(</span><span class="n">eq</span><span class="o">=</span><span class="s2">&quot;foo&quot;</span><span class="p">,</span> <span class="n">alias</span><span class="o">=</span><span class="n">DEFAULT_TITLE_COL</span><span class="p">)</span>
     <span class="n">genre</span><span class="p">:</span> <span class="n">Series</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="n">Field</span><span class="p">(</span><span class="n">eq</span><span class="o">=</span><span class="s2">&quot;genreA|0&quot;</span><span class="p">,</span> <span class="n">alias</span><span class="o">=</span><span class="n">DEFAULT_GENRE_COL</span><span class="p">)</span>
 
-<div class="viewcode-block" id="MockMovielensSchema.get_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema.get_df">[docs]</a>    <span class="nd">@classmethod</span>
+<div class="viewcode-block" id="MockMovielensSchema.get_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema.get_df">[docs]</a>
+    <span class="nd">@classmethod</span>
     <span class="k">def</span> <span class="nf">get_df</span><span class="p">(</span>
         <span class="bp">cls</span><span class="p">,</span>
         <span class="n">size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span><span class="p">,</span>
@@ -976,7 +1005,10 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
         <span class="n">schema</span><span class="o">.</span><span class="n">checks</span> <span class="o">=</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">Check</span><span class="o">.</span><span class="n">unique_columns</span><span class="p">([</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">DEFAULT_ITEM_COL</span><span class="p">])]</span>
         <span class="k">return</span> <span class="n">schema</span><span class="o">.</span><span class="n">example</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="n">size</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MockMovielensSchema.get_spark_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df">[docs]</a>    <span class="nd">@classmethod</span>
+
+<div class="viewcode-block" id="MockMovielensSchema.get_spark_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df">[docs]</a>
+    <span class="nd">@classmethod</span>
     <span class="k">def</span> <span class="nf">get_spark_df</span><span class="p">(</span>
         <span class="bp">cls</span><span class="p">,</span>
         <span class="n">spark</span><span class="p">,</span>
@@ -1023,6 +1055,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
             <span class="n">spark_df</span> <span class="o">=</span> <span class="n">spark_df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">DEFAULT_GENRE_COL</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">spark_df</span></div>
 
+
     <span class="nd">@classmethod</span>
     <span class="k">def</span> <span class="nf">_get_spark_deserialization_schema</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
         <span class="k">return</span> <span class="n">StructType</span><span class="p">(</span>
@@ -1035,6 +1068,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
                 <span class="n">StructField</span><span class="p">(</span><span class="n">DEFAULT_GENRE_COL</span><span class="p">,</span> <span class="n">StringType</span><span class="p">()),</span>
             <span class="p">]</span>
         <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -1075,7 +1109,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1099,8 +1133,8 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/datasets/pandas_df_utils.html b/_modules/recommenders/datasets/pandas_df_utils.html
index 5aa7964f5..dae3b5593 100644
--- a/_modules/recommenders/datasets/pandas_df_utils.html
+++ b/_modules/recommenders/datasets/pandas_df_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
-    <script src="../../../_static/jquery.js"></script>
-    <script src="../../../_static/underscore.js"></script>
-    <script src="../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../_static/doctools.js"></script>
-    <script src="../../../_static/clipboard.min.js"></script>
-    <script src="../../../_static/copybutton.js"></script>
-    <script src="../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/pandas_df_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/pandas_df_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -345,7 +355,9 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="user_item_pairs"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.user_item_pairs">[docs]</a><span class="k">def</span> <span class="nf">user_item_pairs</span><span class="p">(</span>
+<div class="viewcode-block" id="user_item_pairs">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.user_item_pairs">[docs]</a>
+<span class="k">def</span> <span class="nf">user_item_pairs</span><span class="p">(</span>
     <span class="n">user_df</span><span class="p">,</span>
     <span class="n">item_df</span><span class="p">,</span>
     <span class="n">user_col</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -390,7 +402,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="k">return</span> <span class="n">users_items</span></div>
 
 
-<div class="viewcode-block" id="filter_by"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.filter_by">[docs]</a><span class="k">def</span> <span class="nf">filter_by</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">filter_by_df</span><span class="p">,</span> <span class="n">filter_by_cols</span><span class="p">):</span>
+
+<div class="viewcode-block" id="filter_by">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.filter_by">[docs]</a>
+<span class="k">def</span> <span class="nf">filter_by</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">filter_by_df</span><span class="p">,</span> <span class="n">filter_by_cols</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;From the input DataFrame `df`, remove the records whose target column `filter_by_cols` values are</span>
 <span class="sd">    exist in the filter-by DataFrame `filter_by_df`.</span>
 
@@ -411,7 +426,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="p">]</span></div>
 
 
-<div class="viewcode-block" id="LibffmConverter"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter">[docs]</a><span class="k">class</span> <span class="nc">LibffmConverter</span><span class="p">:</span>
+
+<div class="viewcode-block" id="LibffmConverter">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter">[docs]</a>
+<span class="k">class</span> <span class="nc">LibffmConverter</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Converts an input dataframe to another dataframe in libffm format. A text file of the converted</span>
 <span class="sd">    Dataframe is optionally generated.</span>
 
@@ -475,7 +493,9 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
         <span class="bp">self</span><span class="o">.</span><span class="n">field_count</span> <span class="o">=</span> <span class="kc">None</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">feature_count</span> <span class="o">=</span> <span class="kc">None</span>
 
-<div class="viewcode-block" id="LibffmConverter.fit"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">):</span>
+<div class="viewcode-block" id="LibffmConverter.fit">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit the dataframe for libffm format.</span>
 <span class="sd">        This method does nothing but check the validity of the input columns</span>
 
@@ -507,7 +527,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="LibffmConverter.transform"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.transform">[docs]</a>    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LibffmConverter.transform">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Tranform an input dataset with the same schema (column names and dtypes) to libffm format</span>
 <span class="sd">        by using the fitted converter.</span>
 
@@ -567,7 +590,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="n">df</span></div>
 
-<div class="viewcode-block" id="LibffmConverter.fit_transform"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform">[docs]</a>    <span class="k">def</span> <span class="nf">fit_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LibffmConverter.fit_transform">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Do fit and transform in a row</span>
 
 <span class="sd">        Args:</span>
@@ -579,7 +605,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">col_rating</span><span class="p">)</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">df</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="LibffmConverter.get_params"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params">[docs]</a>    <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LibffmConverter.get_params">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get parameters (attributes) of the libffm converter</span>
 
 <span class="sd">        Return:</span>
@@ -589,10 +618,14 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
             <span class="s2">&quot;field count&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">field_count</span><span class="p">,</span>
             <span class="s2">&quot;feature count&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_count</span><span class="p">,</span>
             <span class="s2">&quot;file path&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">filepath</span><span class="p">,</span>
-        <span class="p">}</span></div></div>
+        <span class="p">}</span></div>
+</div>
 
 
-<div class="viewcode-block" id="negative_feedback_sampler"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.negative_feedback_sampler">[docs]</a><span class="k">def</span> <span class="nf">negative_feedback_sampler</span><span class="p">(</span>
+
+<div class="viewcode-block" id="negative_feedback_sampler">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.negative_feedback_sampler">[docs]</a>
+<span class="k">def</span> <span class="nf">negative_feedback_sampler</span><span class="p">(</span>
     <span class="n">df</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
     <span class="n">col_item</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span><span class="p">,</span>
@@ -683,7 +716,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="has_columns"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.has_columns">[docs]</a><span class="k">def</span> <span class="nf">has_columns</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">columns</span><span class="p">):</span>
+
+<div class="viewcode-block" id="has_columns">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.has_columns">[docs]</a>
+<span class="k">def</span> <span class="nf">has_columns</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">columns</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if DataFrame has necessary columns</span>
 
 <span class="sd">    Args:</span>
@@ -698,7 +734,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="k">return</span> <span class="n">columns</span><span class="o">.</span><span class="n">issubset</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="has_same_base_dtype"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.has_same_base_dtype">[docs]</a><span class="k">def</span> <span class="nf">has_same_base_dtype</span><span class="p">(</span><span class="n">df_1</span><span class="p">,</span> <span class="n">df_2</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="has_same_base_dtype">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.has_same_base_dtype">[docs]</a>
+<span class="k">def</span> <span class="nf">has_same_base_dtype</span><span class="p">(</span><span class="n">df_1</span><span class="p">,</span> <span class="n">df_2</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if specified columns have the same base dtypes across both DataFrames</span>
 
 <span class="sd">    Args:</span>
@@ -732,7 +771,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="k">return</span> <span class="n">result</span></div>
 
 
-<div class="viewcode-block" id="PandasHash"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.PandasHash">[docs]</a><span class="k">class</span> <span class="nc">PandasHash</span><span class="p">:</span>
+
+<div class="viewcode-block" id="PandasHash">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.PandasHash">[docs]</a>
+<span class="k">class</span> <span class="nc">PandasHash</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Wrapper class to allow pandas objects (DataFrames or Series) to be hashable&quot;&quot;&quot;</span>
 
     <span class="c1"># reserve space just for a single pandas object</span>
@@ -776,7 +818,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
         <span class="k">return</span> <span class="nb">hash</span><span class="p">(</span><span class="n">hashable</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="lru_cache_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.lru_cache_df">[docs]</a><span class="k">def</span> <span class="nf">lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="p">,</span> <span class="n">typed</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="lru_cache_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.lru_cache_df">[docs]</a>
+<span class="k">def</span> <span class="nf">lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="p">,</span> <span class="n">typed</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Least-recently-used cache decorator for pandas Dataframes.</span>
 
 <span class="sd">    Decorator to wrap a function with a memoizing callable that saves up to the maxsize most recent calls. It can</span>
@@ -819,6 +864,7 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
         <span class="k">return</span> <span class="n">wrapper</span>
 
     <span class="k">return</span> <span class="n">decorating_function</span></div>
+
 </pre></div>
 
                 </article>
@@ -859,7 +905,7 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -883,8 +929,8 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/datasets/python_splitters.html b/_modules/recommenders/datasets/python_splitters.html
index c332f9b7c..b570583da 100644
--- a/_modules/recommenders/datasets/python_splitters.html
+++ b/_modules/recommenders/datasets/python_splitters.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
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-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
-    <script src="../../../_static/jquery.js"></script>
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/python_splitters';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/python_splitters.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -344,7 +354,9 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="python_random_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_random_split">[docs]</a><span class="k">def</span> <span class="nf">python_random_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
+<div class="viewcode-block" id="python_random_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_random_split">[docs]</a>
+<span class="k">def</span> <span class="nf">python_random_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Pandas random splitter.</span>
 
 <span class="sd">    The splitter randomly splits the input data.</span>
@@ -372,6 +384,7 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
         <span class="k">return</span> <span class="n">sk_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">train_size</span><span class="o">=</span><span class="n">ratio</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_do_stratification</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
@@ -444,7 +457,9 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
     <span class="k">return</span> <span class="n">splits</span>
 
 
-<div class="viewcode-block" id="python_chrono_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_chrono_split">[docs]</a><span class="k">def</span> <span class="nf">python_chrono_split</span><span class="p">(</span>
+<div class="viewcode-block" id="python_chrono_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_chrono_split">[docs]</a>
+<span class="k">def</span> <span class="nf">python_chrono_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -489,7 +504,10 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="python_stratified_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_stratified_split">[docs]</a><span class="k">def</span> <span class="nf">python_stratified_split</span><span class="p">(</span>
+
+<div class="viewcode-block" id="python_stratified_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_stratified_split">[docs]</a>
+<span class="k">def</span> <span class="nf">python_stratified_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -532,7 +550,10 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="numpy_stratified_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.numpy_stratified_split">[docs]</a><span class="k">def</span> <span class="nf">numpy_stratified_split</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
+
+<div class="viewcode-block" id="numpy_stratified_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.numpy_stratified_split">[docs]</a>
+<span class="k">def</span> <span class="nf">numpy_stratified_split</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Split the user/item affinity matrix (sparse matrix) into train and test set matrices while maintaining</span>
 <span class="sd">    local (i.e. per user) ratios.</span>
 
@@ -604,6 +625,7 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
     <span class="k">del</span> <span class="n">idx</span><span class="p">,</span> <span class="n">idx_train</span><span class="p">,</span> <span class="n">idx_tst</span>
 
     <span class="k">return</span> <span class="n">Xtr</span><span class="p">,</span> <span class="n">Xtst</span></div>
+
 </pre></div>
 
                 </article>
@@ -644,7 +666,7 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -668,8 +690,8 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/_modules/recommenders/datasets/spark_splitters.html b/_modules/recommenders/datasets/spark_splitters.html
index c326406c2..8e498143f 100644
--- a/_modules/recommenders/datasets/spark_splitters.html
+++ b/_modules/recommenders/datasets/spark_splitters.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/spark_splitters';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/spark_splitters.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
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 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -348,7 +358,9 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="spark_random_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_random_split">[docs]</a><span class="k">def</span> <span class="nf">spark_random_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
+<div class="viewcode-block" id="spark_random_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_random_split">[docs]</a>
+<span class="k">def</span> <span class="nf">spark_random_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Spark random splitter.</span>
 
 <span class="sd">    Randomly split the data into several splits.</span>
@@ -373,6 +385,7 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
         <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">randomSplit</span><span class="p">([</span><span class="n">ratio</span><span class="p">,</span> <span class="mi">1</span> <span class="o">-</span> <span class="n">ratio</span><span class="p">],</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_do_stratification_spark</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
@@ -474,7 +487,9 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
     <span class="k">return</span> <span class="n">splits</span>
 
 
-<div class="viewcode-block" id="spark_chrono_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_chrono_split">[docs]</a><span class="k">def</span> <span class="nf">spark_chrono_split</span><span class="p">(</span>
+<div class="viewcode-block" id="spark_chrono_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_chrono_split">[docs]</a>
+<span class="k">def</span> <span class="nf">spark_chrono_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -521,7 +536,10 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="spark_stratified_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_stratified_split">[docs]</a><span class="k">def</span> <span class="nf">spark_stratified_split</span><span class="p">(</span>
+
+<div class="viewcode-block" id="spark_stratified_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_stratified_split">[docs]</a>
+<span class="k">def</span> <span class="nf">spark_stratified_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -565,7 +583,10 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="spark_timestamp_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_timestamp_split">[docs]</a><span class="k">def</span> <span class="nf">spark_timestamp_split</span><span class="p">(</span>
+
+<div class="viewcode-block" id="spark_timestamp_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_timestamp_split">[docs]</a>
+<span class="k">def</span> <span class="nf">spark_timestamp_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -603,6 +624,7 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
         <span class="n">col_item</span><span class="o">=</span><span class="n">col_item</span><span class="p">,</span>
         <span class="n">col_timestamp</span><span class="o">=</span><span class="n">col_timestamp</span><span class="p">,</span>
     <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -643,7 +665,7 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -667,8 +689,8 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/_modules/recommenders/datasets/sparse.html b/_modules/recommenders/datasets/sparse.html
index ce8332438..c2dc7ac77 100644
--- a/_modules/recommenders/datasets/sparse.html
+++ b/_modules/recommenders/datasets/sparse.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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 </script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/sparse';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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-
   
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 </form></div>
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@@ -167,7 +166,18 @@
   
   
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+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -348,7 +358,9 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
 <span class="n">log</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="AffinityMatrix"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix">[docs]</a><span class="k">class</span> <span class="nc">AffinityMatrix</span><span class="p">:</span>
+<div class="viewcode-block" id="AffinityMatrix">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix">[docs]</a>
+<span class="k">class</span> <span class="nc">AffinityMatrix</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate the user/item affinity matrix from a pandas dataframe and vice versa&quot;&quot;&quot;</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
@@ -434,7 +446,9 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
             <span class="n">np</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">save_path</span> <span class="o">+</span> <span class="s2">&quot;/user_back_dict&quot;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_back_users</span><span class="p">)</span>
             <span class="n">np</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">save_path</span> <span class="o">+</span> <span class="s2">&quot;/item_back_dict&quot;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_back_items</span><span class="p">)</span>
 
-<div class="viewcode-block" id="AffinityMatrix.gen_affinity_matrix"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix">[docs]</a>    <span class="k">def</span> <span class="nf">gen_affinity_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="AffinityMatrix.gen_affinity_matrix">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_affinity_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Generate the user/item affinity matrix.</span>
 
 <span class="sd">        As a first step, two new columns are added to the input DF, containing the index maps</span>
@@ -470,7 +484,10 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
 
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">AM</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_users</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_items</span></div>
 
-<div class="viewcode-block" id="AffinityMatrix.map_back_sparse"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse">[docs]</a>    <span class="k">def</span> <span class="nf">map_back_sparse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">kind</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AffinityMatrix.map_back_sparse">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse">[docs]</a>
+    <span class="k">def</span> <span class="nf">map_back_sparse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">kind</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Map back the user/affinity matrix to a pd dataframe</span>
 
 <span class="sd">        Args:</span>
@@ -510,7 +527,9 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
         <span class="n">out_df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_user</span><span class="p">]</span> <span class="o">=</span> <span class="n">out_df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_user</span><span class="p">]</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">map_back_users</span><span class="p">)</span>
         <span class="n">out_df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_item</span><span class="p">]</span> <span class="o">=</span> <span class="n">out_df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_item</span><span class="p">]</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">map_back_items</span><span class="p">)</span>
 
-        <span class="k">return</span> <span class="n">out_df</span></div></div>
+        <span class="k">return</span> <span class="n">out_df</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -551,7 +570,7 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -575,8 +594,8 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
   </div>
   
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diff --git a/_modules/recommenders/datasets/split_utils.html b/_modules/recommenders/datasets/split_utils.html
index ead8f2287..a252d57cd 100644
--- a/_modules/recommenders/datasets/split_utils.html
+++ b/_modules/recommenders/datasets/split_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/split_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/split_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">pass</span>  <span class="c1"># so the environment without spark doesn&#39;t break</span>
 
 
-<div class="viewcode-block" id="process_split_ratio"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.process_split_ratio">[docs]</a><span class="k">def</span> <span class="nf">process_split_ratio</span><span class="p">(</span><span class="n">ratio</span><span class="p">):</span>
+<div class="viewcode-block" id="process_split_ratio">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.process_split_ratio">[docs]</a>
+<span class="k">def</span> <span class="nf">process_split_ratio</span><span class="p">(</span><span class="n">ratio</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate split ratio lists.</span>
 
 <span class="sd">    Args:</span>
@@ -377,7 +389,10 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">multi</span><span class="p">,</span> <span class="n">ratio</span></div>
 
 
-<div class="viewcode-block" id="min_rating_filter_pandas"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.min_rating_filter_pandas">[docs]</a><span class="k">def</span> <span class="nf">min_rating_filter_pandas</span><span class="p">(</span>
+
+<div class="viewcode-block" id="min_rating_filter_pandas">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.min_rating_filter_pandas">[docs]</a>
+<span class="k">def</span> <span class="nf">min_rating_filter_pandas</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
     <span class="n">filter_by</span><span class="o">=</span><span class="s2">&quot;user&quot;</span><span class="p">,</span>
@@ -411,7 +426,10 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="n">split_by_column</span><span class="p">)</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">&gt;=</span> <span class="n">min_rating</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="min_rating_filter_spark"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.min_rating_filter_spark">[docs]</a><span class="k">def</span> <span class="nf">min_rating_filter_spark</span><span class="p">(</span>
+
+<div class="viewcode-block" id="min_rating_filter_spark">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.min_rating_filter_spark">[docs]</a>
+<span class="k">def</span> <span class="nf">min_rating_filter_spark</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
     <span class="n">filter_by</span><span class="o">=</span><span class="s2">&quot;user&quot;</span><span class="p">,</span>
@@ -454,6 +472,7 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">data</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_get_column_name</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">col_user</span><span class="p">,</span> <span class="n">col_item</span><span class="p">):</span>
     <span class="k">if</span> <span class="n">name</span> <span class="o">==</span> <span class="s2">&quot;user&quot;</span><span class="p">:</span>
         <span class="k">return</span> <span class="n">col_user</span>
@@ -463,7 +482,9 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;name should be either &#39;user&#39; or &#39;item&#39;.&quot;</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="split_pandas_data_with_ratios"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.split_pandas_data_with_ratios">[docs]</a><span class="k">def</span> <span class="nf">split_pandas_data_with_ratios</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratios</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<div class="viewcode-block" id="split_pandas_data_with_ratios">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.split_pandas_data_with_ratios">[docs]</a>
+<span class="k">def</span> <span class="nf">split_pandas_data_with_ratios</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratios</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper function to split pandas DataFrame with given ratios</span>
 
 <span class="sd">    Note:</span>
@@ -495,7 +516,10 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">splits</span></div>
 
 
-<div class="viewcode-block" id="filter_k_core"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.filter_k_core">[docs]</a><span class="k">def</span> <span class="nf">filter_k_core</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">core_num</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="s2">&quot;userID&quot;</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="s2">&quot;itemID&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="filter_k_core">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.filter_k_core">[docs]</a>
+<span class="k">def</span> <span class="nf">filter_k_core</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">core_num</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="s2">&quot;userID&quot;</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="s2">&quot;itemID&quot;</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Filter rating dataframe for minimum number of users and items by</span>
 <span class="sd">    repeatedly applying min_rating_filter until the condition is satisfied.</span>
 
@@ -525,6 +549,7 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Final: </span><span class="si">%d</span><span class="s2"> users and </span><span class="si">%d</span><span class="s2"> items&quot;</span><span class="p">,</span> <span class="n">num_users</span><span class="p">,</span> <span class="n">num_items</span><span class="p">)</span>
 
     <span class="k">return</span> <span class="n">df_inp</span></div>
+
 </pre></div>
 
                 </article>
@@ -565,7 +590,7 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -589,8 +614,8 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/datasets/wikidata.html b/_modules/recommenders/datasets/wikidata.html
index 7b9e7bcbe..10a5d1e42 100644
--- a/_modules/recommenders/datasets/wikidata.html
+++ b/_modules/recommenders/datasets/wikidata.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
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-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/wikidata';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/wikidata.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
 <span class="n">SESSION</span> <span class="o">=</span> <span class="kc">None</span>
 
 
-<div class="viewcode-block" id="get_session"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.get_session">[docs]</a><span class="k">def</span> <span class="nf">get_session</span><span class="p">(</span><span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="get_session">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.get_session">[docs]</a>
+<span class="k">def</span> <span class="nf">get_session</span><span class="p">(</span><span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get session object</span>
 
 <span class="sd">    Args:</span>
@@ -362,7 +374,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="k">return</span> <span class="n">session</span></div>
 
 
-<div class="viewcode-block" id="find_wikidata_id"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.find_wikidata_id">[docs]</a><span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+
+<div class="viewcode-block" id="find_wikidata_id">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.find_wikidata_id">[docs]</a>
+<span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">find_wikidata_id</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">limit</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Find the entity ID in wikidata from a title string.</span>
 
@@ -415,7 +430,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="k">return</span> <span class="n">entity_id</span></div>
 
 
-<div class="viewcode-block" id="query_entity_links"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.query_entity_links">[docs]</a><span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+
+<div class="viewcode-block" id="query_entity_links">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.query_entity_links">[docs]</a>
+<span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">query_entity_links</span><span class="p">(</span><span class="n">entity_id</span><span class="p">,</span> <span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Query all linked pages from a wikidata entityID</span>
 
@@ -473,7 +491,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="k">return</span> <span class="n">data</span></div>
 
 
-<div class="viewcode-block" id="read_linked_entities"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.read_linked_entities">[docs]</a><span class="k">def</span> <span class="nf">read_linked_entities</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
+
+<div class="viewcode-block" id="read_linked_entities">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.read_linked_entities">[docs]</a>
+<span class="k">def</span> <span class="nf">read_linked_entities</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Obtain lists of liken entities (IDs and names) from dictionary</span>
 
 <span class="sd">    Args:</span>
@@ -494,7 +515,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="p">]</span></div>
 
 
-<div class="viewcode-block" id="query_entity_description"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.query_entity_description">[docs]</a><span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+
+<div class="viewcode-block" id="query_entity_description">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.query_entity_description">[docs]</a>
+<span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">query_entity_description</span><span class="p">(</span><span class="n">entity_id</span><span class="p">,</span> <span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Query entity wikidata description from entityID</span>
 
@@ -534,7 +558,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="k">return</span> <span class="n">description</span></div>
 
 
-<div class="viewcode-block" id="search_wikidata"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.search_wikidata">[docs]</a><span class="k">def</span> <span class="nf">search_wikidata</span><span class="p">(</span><span class="n">names</span><span class="p">,</span> <span class="n">extras</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">describe</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="search_wikidata">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.search_wikidata">[docs]</a>
+<span class="k">def</span> <span class="nf">search_wikidata</span><span class="p">(</span><span class="n">names</span><span class="p">,</span> <span class="n">extras</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">describe</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Create DataFrame of Wikidata search results</span>
 
 <span class="sd">    Args:</span>
@@ -576,6 +603,7 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
             <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
 
     <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">results</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -616,7 +644,7 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -640,8 +668,8 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/evaluation/python_evaluation.html b/_modules/recommenders/evaluation/python_evaluation.html
index 4f3776a7f..25fddd44c 100644
--- a/_modules/recommenders/evaluation/python_evaluation.html
+++ b/_modules/recommenders/evaluation/python_evaluation.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/evaluation/python_evaluation';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/evaluation/python_evaluation.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -360,7 +370,9 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="ColumnMismatchError"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ColumnMismatchError">[docs]</a><span class="k">class</span> <span class="nc">ColumnMismatchError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+<div class="viewcode-block" id="ColumnMismatchError">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ColumnMismatchError">[docs]</a>
+<span class="k">class</span> <span class="nc">ColumnMismatchError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised when there is a mismatch in columns.</span>
 
 <span class="sd">    This exception is raised when an operation involving columns</span>
@@ -373,7 +385,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">pass</span></div>
 
 
-<div class="viewcode-block" id="ColumnTypeMismatchError"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError">[docs]</a><span class="k">class</span> <span class="nc">ColumnTypeMismatchError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ColumnTypeMismatchError">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError">[docs]</a>
+<span class="k">class</span> <span class="nc">ColumnTypeMismatchError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised when there is a mismatch in column types.</span>
 
 <span class="sd">    This exception is raised when an operation involving column types</span>
@@ -386,6 +401,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">pass</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_check_column_dtypes</span><span class="p">(</span><span class="n">func</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Checks columns of DataFrame inputs</span>
 
@@ -451,7 +467,9 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">check_column_dtypes_wrapper</span>
 
 
-<div class="viewcode-block" id="merge_rating_true_pred"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.merge_rating_true_pred">[docs]</a><span class="nd">@_check_column_dtypes</span>
+<div class="viewcode-block" id="merge_rating_true_pred">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.merge_rating_true_pred">[docs]</a>
+<span class="nd">@_check_column_dtypes</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">merge_rating_true_pred</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
@@ -490,7 +508,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">rating_true_pred</span><span class="p">[</span><span class="n">col_rating</span><span class="p">],</span> <span class="n">rating_true_pred</span><span class="p">[</span><span class="n">col_prediction</span><span class="p">]</span></div>
 
 
-<div class="viewcode-block" id="rmse"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.rmse">[docs]</a><span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span>
+
+<div class="viewcode-block" id="rmse">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.rmse">[docs]</a>
+<span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -523,7 +544,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="mae"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.mae">[docs]</a><span class="k">def</span> <span class="nf">mae</span><span class="p">(</span>
+
+<div class="viewcode-block" id="mae">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.mae">[docs]</a>
+<span class="k">def</span> <span class="nf">mae</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -556,7 +580,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">mean_absolute_error</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="rsquared"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.rsquared">[docs]</a><span class="k">def</span> <span class="nf">rsquared</span><span class="p">(</span>
+
+<div class="viewcode-block" id="rsquared">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.rsquared">[docs]</a>
+<span class="k">def</span> <span class="nf">rsquared</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -589,7 +616,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">r2_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="exp_var"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.exp_var">[docs]</a><span class="k">def</span> <span class="nf">exp_var</span><span class="p">(</span>
+
+<div class="viewcode-block" id="exp_var">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.exp_var">[docs]</a>
+<span class="k">def</span> <span class="nf">exp_var</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -622,7 +652,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">explained_variance_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="auc"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.auc">[docs]</a><span class="k">def</span> <span class="nf">auc</span><span class="p">(</span>
+
+<div class="viewcode-block" id="auc">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.auc">[docs]</a>
+<span class="k">def</span> <span class="nf">auc</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -665,7 +698,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">roc_auc_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="logloss"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.logloss">[docs]</a><span class="k">def</span> <span class="nf">logloss</span><span class="p">(</span>
+
+<div class="viewcode-block" id="logloss">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.logloss">[docs]</a>
+<span class="k">def</span> <span class="nf">logloss</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -702,7 +738,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">log_loss</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="merge_ranking_true_pred"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.merge_ranking_true_pred">[docs]</a><span class="nd">@_check_column_dtypes</span>
+
+<div class="viewcode-block" id="merge_ranking_true_pred">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.merge_ranking_true_pred">[docs]</a>
+<span class="nd">@_check_column_dtypes</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">merge_ranking_true_pred</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
@@ -773,7 +812,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_hit</span><span class="p">,</span> <span class="n">df_hit_count</span><span class="p">,</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="precision_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.precision_at_k">[docs]</a><span class="k">def</span> <span class="nf">precision_at_k</span><span class="p">(</span>
+
+<div class="viewcode-block" id="precision_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.precision_at_k">[docs]</a>
+<span class="k">def</span> <span class="nf">precision_at_k</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -824,7 +866,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="p">(</span><span class="n">df_hit_count</span><span class="p">[</span><span class="s2">&quot;hit&quot;</span><span class="p">]</span> <span class="o">/</span> <span class="n">k</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="recall_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.recall_at_k">[docs]</a><span class="k">def</span> <span class="nf">recall_at_k</span><span class="p">(</span>
+
+<div class="viewcode-block" id="recall_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.recall_at_k">[docs]</a>
+<span class="k">def</span> <span class="nf">recall_at_k</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -869,7 +914,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="p">(</span><span class="n">df_hit_count</span><span class="p">[</span><span class="s2">&quot;hit&quot;</span><span class="p">]</span> <span class="o">/</span> <span class="n">df_hit_count</span><span class="p">[</span><span class="s2">&quot;actual&quot;</span><span class="p">])</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="ndcg_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ndcg_at_k">[docs]</a><span class="k">def</span> <span class="nf">ndcg_at_k</span><span class="p">(</span>
+
+<div class="viewcode-block" id="ndcg_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ndcg_at_k">[docs]</a>
+<span class="k">def</span> <span class="nf">ndcg_at_k</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -967,6 +1015,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_user</span><span class="p">[</span><span class="s2">&quot;ndcg&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span></div>
 
 
+
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">_get_reciprocal_rank</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
@@ -1002,7 +1051,9 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">df_hit_sorted</span><span class="p">,</span> <span class="n">df_hit_count</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="n">col_user</span><span class="p">),</span> <span class="n">n_users</span>
 
 
-<div class="viewcode-block" id="map"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.map">[docs]</a><span class="k">def</span> <span class="nf">map</span><span class="p">(</span>
+<div class="viewcode-block" id="map">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.map">[docs]</a>
+<span class="k">def</span> <span class="nf">map</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -1056,7 +1107,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
         <span class="k">return</span> <span class="p">(</span><span class="n">df_merge</span><span class="p">[</span><span class="s2">&quot;rr&quot;</span><span class="p">]</span> <span class="o">/</span> <span class="n">df_merge</span><span class="p">[</span><span class="s2">&quot;actual&quot;</span><span class="p">])</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="map_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.map_at_k">[docs]</a><span class="k">def</span> <span class="nf">map_at_k</span><span class="p">(</span>
+
+<div class="viewcode-block" id="map_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.map_at_k">[docs]</a>
+<span class="k">def</span> <span class="nf">map_at_k</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -1105,7 +1159,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
         <span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="get_top_k_items"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.get_top_k_items">[docs]</a><span class="k">def</span> <span class="nf">get_top_k_items</span><span class="p">(</span>
+
+<div class="viewcode-block" id="get_top_k_items">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.get_top_k_items">[docs]</a>
+<span class="k">def</span> <span class="nf">get_top_k_items</span><span class="p">(</span>
     <span class="n">dataframe</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="n">DEFAULT_K</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the input customer-item-rating tuple in the format of Pandas</span>
@@ -1142,6 +1199,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">top_k_items</span></div>
 
 
+
 <span class="sd">&quot;&quot;&quot;Function name and function mapper.</span>
 <span class="sd">Useful when we have to serialize evaluation metric names</span>
 <span class="sd">and call the functions based on deserialized names&quot;&quot;&quot;</span>
@@ -1512,7 +1570,9 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_intralist_similarity</span>
 
 
-<div class="viewcode-block" id="user_diversity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_diversity">[docs]</a><span class="nd">@_check_column_dtypes_diversity_serendipity</span>
+<div class="viewcode-block" id="user_diversity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_diversity">[docs]</a>
+<span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">user_diversity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
@@ -1573,7 +1633,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_user_diversity</span></div>
 
 
-<div class="viewcode-block" id="diversity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.diversity">[docs]</a><span class="nd">@_check_column_dtypes_diversity_serendipity</span>
+
+<div class="viewcode-block" id="diversity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.diversity">[docs]</a>
+<span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="k">def</span> <span class="nf">diversity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
     <span class="n">reco_df</span><span class="p">,</span>
@@ -1619,8 +1682,11 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">avg_diversity</span></div>
 
 
+
 <span class="c1"># Novelty metrics</span>
-<div class="viewcode-block" id="historical_item_novelty"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.historical_item_novelty">[docs]</a><span class="nd">@_check_column_dtypes_novelty_coverage</span>
+<div class="viewcode-block" id="historical_item_novelty">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.historical_item_novelty">[docs]</a>
+<span class="nd">@_check_column_dtypes_novelty_coverage</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">historical_item_novelty</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
@@ -1670,7 +1736,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_item_novelty</span></div>
 
 
-<div class="viewcode-block" id="novelty"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.novelty">[docs]</a><span class="nd">@_check_column_dtypes_novelty_coverage</span>
+
+<div class="viewcode-block" id="novelty">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.novelty">[docs]</a>
+<span class="nd">@_check_column_dtypes_novelty_coverage</span>
 <span class="k">def</span> <span class="nf">novelty</span><span class="p">(</span><span class="n">train_df</span><span class="p">,</span> <span class="n">reco_df</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate the average novelty in a list of recommended items (this assumes that the recommendation list</span>
 <span class="sd">    is already computed). Follows section 5 from</span>
@@ -1707,8 +1776,11 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">avg_novelty</span></div>
 
 
+
 <span class="c1"># Serendipity metrics</span>
-<div class="viewcode-block" id="user_item_serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_item_serendipity">[docs]</a><span class="nd">@_check_column_dtypes_diversity_serendipity</span>
+<div class="viewcode-block" id="user_item_serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_item_serendipity">[docs]</a>
+<span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">user_item_serendipity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
@@ -1806,7 +1878,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_user_item_serendipity</span></div>
 
 
-<div class="viewcode-block" id="user_serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_serendipity">[docs]</a><span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+<div class="viewcode-block" id="user_serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_serendipity">[docs]</a>
+<span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="k">def</span> <span class="nf">user_serendipity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
@@ -1863,7 +1938,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_user_serendipity</span></div>
 
 
-<div class="viewcode-block" id="serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.serendipity">[docs]</a><span class="nd">@_check_column_dtypes_diversity_serendipity</span>
+
+<div class="viewcode-block" id="serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.serendipity">[docs]</a>
+<span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="k">def</span> <span class="nf">serendipity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
     <span class="n">reco_df</span><span class="p">,</span>
@@ -1910,8 +1988,11 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">avg_serendipity</span></div>
 
 
+
 <span class="c1"># Coverage metrics</span>
-<div class="viewcode-block" id="catalog_coverage"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.catalog_coverage">[docs]</a><span class="nd">@_check_column_dtypes_novelty_coverage</span>
+<div class="viewcode-block" id="catalog_coverage">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.catalog_coverage">[docs]</a>
+<span class="nd">@_check_column_dtypes_novelty_coverage</span>
 <span class="k">def</span> <span class="nf">catalog_coverage</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span> <span class="n">reco_df</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span>
 <span class="p">):</span>
@@ -1945,7 +2026,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">c_coverage</span></div>
 
 
-<div class="viewcode-block" id="distributional_coverage"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.distributional_coverage">[docs]</a><span class="nd">@_check_column_dtypes_novelty_coverage</span>
+
+<div class="viewcode-block" id="distributional_coverage">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.distributional_coverage">[docs]</a>
+<span class="nd">@_check_column_dtypes_novelty_coverage</span>
 <span class="k">def</span> <span class="nf">distributional_coverage</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span> <span class="n">reco_df</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span>
 <span class="p">):</span>
@@ -1984,6 +2068,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="n">d_coverage</span> <span class="o">=</span> <span class="o">-</span><span class="n">df_entropy</span><span class="o">.</span><span class="n">agg</span><span class="p">({</span><span class="s2">&quot;entropy(i)&quot;</span><span class="p">:</span> <span class="s2">&quot;sum&quot;</span><span class="p">})[</span><span class="mi">0</span><span class="p">]</span>
 
     <span class="k">return</span> <span class="n">d_coverage</span></div>
+
 </pre></div>
 
                 </article>
@@ -2024,7 +2109,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -2048,8 +2133,8 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/evaluation/spark_evaluation.html b/_modules/recommenders/evaluation/spark_evaluation.html
index 1e10dd9f2..70cfdf6d6 100644
--- a/_modules/recommenders/evaluation/spark_evaluation.html
+++ b/_modules/recommenders/evaluation/spark_evaluation.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/evaluation/spark_evaluation';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/evaluation/spark_evaluation.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -357,10 +367,14 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="SparkRatingEvaluation"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation">[docs]</a><span class="k">class</span> <span class="nc">SparkRatingEvaluation</span><span class="p">:</span>
+<div class="viewcode-block" id="SparkRatingEvaluation">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation">[docs]</a>
+<span class="k">class</span> <span class="nc">SparkRatingEvaluation</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Spark Rating Evaluator&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.__init__"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="SparkRatingEvaluation.__init__">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">rating_true</span><span class="p">,</span>
         <span class="n">rating_pred</span><span class="p">,</span>
@@ -451,7 +465,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="bp">self</span><span class="o">.</span><span class="n">y_pred_true</span><span class="o">.</span><span class="n">rdd</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">prediction</span><span class="p">,</span> <span class="n">x</span><span class="o">.</span><span class="n">label</span><span class="p">))</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.rmse"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse">[docs]</a>    <span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRatingEvaluation.rmse">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse">[docs]</a>
+    <span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate Root Mean Squared Error.</span>
 
 <span class="sd">        Returns:</span>
@@ -459,7 +476,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">rootMeanSquaredError</span></div>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.mae"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae">[docs]</a>    <span class="k">def</span> <span class="nf">mae</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRatingEvaluation.mae">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae">[docs]</a>
+    <span class="k">def</span> <span class="nf">mae</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate Mean Absolute Error.</span>
 
 <span class="sd">        Returns:</span>
@@ -467,7 +487,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">meanAbsoluteError</span></div>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.rsquared"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared">[docs]</a>    <span class="k">def</span> <span class="nf">rsquared</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRatingEvaluation.rsquared">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared">[docs]</a>
+    <span class="k">def</span> <span class="nf">rsquared</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate R squared.</span>
 
 <span class="sd">        Returns:</span>
@@ -475,7 +498,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">r2</span></div>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.exp_var"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var">[docs]</a>    <span class="k">def</span> <span class="nf">exp_var</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRatingEvaluation.exp_var">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var">[docs]</a>
+    <span class="k">def</span> <span class="nf">exp_var</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate explained variance.</span>
 
 <span class="sd">        Note:</span>
@@ -491,13 +517,19 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="k">return</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span>
         <span class="k">else</span><span class="p">:</span>
             <span class="c1"># numpy divide is more tolerant to var2 being zero</span>
-            <span class="k">return</span> <span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">divide</span><span class="p">(</span><span class="n">var1</span><span class="p">,</span> <span class="n">var2</span><span class="p">)</span></div></div>
+            <span class="k">return</span> <span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">divide</span><span class="p">(</span><span class="n">var1</span><span class="p">,</span> <span class="n">var2</span><span class="p">)</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="SparkRankingEvaluation"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation">[docs]</a><span class="k">class</span> <span class="nc">SparkRankingEvaluation</span><span class="p">:</span>
+<div class="viewcode-block" id="SparkRankingEvaluation">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation">[docs]</a>
+<span class="k">class</span> <span class="nc">SparkRankingEvaluation</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Spark Ranking Evaluator&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.__init__"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="SparkRankingEvaluation.__init__">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">rating_true</span><span class="p">,</span>
         <span class="n">rating_pred</span><span class="p">,</span>
@@ -613,6 +645,7 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 
         <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_calculate_metrics</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_calculate_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate ranking metrics.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_items_for_user_pred</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rating_pred</span>
@@ -629,7 +662,9 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 
         <span class="k">return</span> <span class="n">RankingMetrics</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_items_for_user_all</span><span class="o">.</span><span class="n">rdd</span><span class="p">)</span>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.precision_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k">[docs]</a>    <span class="k">def</span> <span class="nf">precision_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkRankingEvaluation.precision_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k">[docs]</a>
+    <span class="k">def</span> <span class="nf">precision_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get precision@k.</span>
 
 <span class="sd">        Note:</span>
@@ -641,7 +676,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">precisionAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.recall_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k">[docs]</a>    <span class="k">def</span> <span class="nf">recall_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRankingEvaluation.recall_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k">[docs]</a>
+    <span class="k">def</span> <span class="nf">recall_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get recall@K.</span>
 
 <span class="sd">        Note:</span>
@@ -653,7 +691,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">recallAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.ndcg_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k">[docs]</a>    <span class="k">def</span> <span class="nf">ndcg_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRankingEvaluation.ndcg_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k">[docs]</a>
+    <span class="k">def</span> <span class="nf">ndcg_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get Normalized Discounted Cumulative Gain (NDCG)</span>
 
 <span class="sd">        Note:</span>
@@ -665,7 +706,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">ndcgAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.map"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map">[docs]</a>    <span class="k">def</span> <span class="nf">map</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRankingEvaluation.map">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map">[docs]</a>
+    <span class="k">def</span> <span class="nf">map</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get mean average precision.</span>
 
 <span class="sd">        Return:</span>
@@ -673,7 +717,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">meanAveragePrecision</span></div>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.map_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k">[docs]</a>    <span class="k">def</span> <span class="nf">map_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRankingEvaluation.map_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k">[docs]</a>
+    <span class="k">def</span> <span class="nf">map_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get mean average precision at k.</span>
 
 <span class="sd">        Note:</span>
@@ -682,7 +729,9 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        Return:</span>
 <span class="sd">            float: MAP at k (min=0, max=1).</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">meanAveragePrecisionAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">meanAveragePrecisionAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div>
+</div>
+
 
 
 <span class="k">def</span> <span class="nf">_get_top_k_items</span><span class="p">(</span>
@@ -813,10 +862,14 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
     <span class="k">return</span> <span class="n">items_for_user</span>
 
 
-<div class="viewcode-block" id="SparkDiversityEvaluation"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation">[docs]</a><span class="k">class</span> <span class="nc">SparkDiversityEvaluation</span><span class="p">:</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation">[docs]</a>
+<span class="k">class</span> <span class="nc">SparkDiversityEvaluation</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Spark Evaluator for diversity, coverage, novelty, serendipity&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.__init__"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.__init__">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train_df</span><span class="p">,</span>
         <span class="n">reco_df</span><span class="p">,</span>
@@ -933,6 +986,7 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
                 <span class="s2">&quot;reco_df should not contain any user_item pairs that are already shown in train_df&quot;</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_pairwise_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get pairwise combinations of items per user (ignoring duplicate pairs [1,2] == [2,1])&quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="p">(</span>
@@ -1057,7 +1111,9 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_intralist_similarity</span>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.user_diversity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity">[docs]</a>    <span class="k">def</span> <span class="nf">user_diversity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.user_diversity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity">[docs]</a>
+    <span class="k">def</span> <span class="nf">user_diversity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate average diversity of recommendations for each user.</span>
 <span class="sd">        The metric definition is based on formula (3) in the following reference:</span>
 
@@ -1080,7 +1136,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_user_diversity</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.diversity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity">[docs]</a>    <span class="k">def</span> <span class="nf">diversity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.diversity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity">[docs]</a>
+    <span class="k">def</span> <span class="nf">diversity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate average diversity of recommendations across all users.</span>
 
 <span class="sd">        Returns:</span>
@@ -1093,8 +1152,11 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span><span class="o">.</span><span class="n">first</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">avg_diversity</span></div>
 
+
     <span class="c1"># Novelty metrics</span>
-<div class="viewcode-block" id="SparkDiversityEvaluation.historical_item_novelty"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty">[docs]</a>    <span class="k">def</span> <span class="nf">historical_item_novelty</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.historical_item_novelty">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty">[docs]</a>
+    <span class="k">def</span> <span class="nf">historical_item_novelty</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate novelty for each item. Novelty is computed as the minus logarithm of</span>
 <span class="sd">        (number of interactions with item / total number of interactions). The definition of the metric</span>
 <span class="sd">        is based on the following reference using the choice model (eqs. 1 and 6):</span>
@@ -1124,7 +1186,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_item_novelty</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.novelty"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty">[docs]</a>    <span class="k">def</span> <span class="nf">novelty</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.novelty">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty">[docs]</a>
+    <span class="k">def</span> <span class="nf">novelty</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the average novelty in a list of recommended items (this assumes that the recommendation list</span>
 <span class="sd">        is already computed). Follows section 5 from</span>
 
@@ -1149,8 +1214,11 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">avg_novelty</span></div>
 
+
     <span class="c1"># Serendipity metrics</span>
-<div class="viewcode-block" id="SparkDiversityEvaluation.user_item_serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity">[docs]</a>    <span class="k">def</span> <span class="nf">user_item_serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.user_item_serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity">[docs]</a>
+    <span class="k">def</span> <span class="nf">user_item_serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate serendipity of each item in the recommendations for each user.</span>
 <span class="sd">        The metric definition is based on the following references:</span>
 
@@ -1208,7 +1276,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_user_item_serendipity</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.user_serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity">[docs]</a>    <span class="k">def</span> <span class="nf">user_serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.user_serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity">[docs]</a>
+    <span class="k">def</span> <span class="nf">user_serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate average serendipity for each user&#39;s recommendations.</span>
 
 <span class="sd">        Returns:</span>
@@ -1223,7 +1294,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_user_serendipity</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity">[docs]</a>    <span class="k">def</span> <span class="nf">serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity">[docs]</a>
+    <span class="k">def</span> <span class="nf">serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate average serendipity for recommendations across all users.</span>
 
 <span class="sd">        Returns:</span>
@@ -1236,8 +1310,11 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span><span class="o">.</span><span class="n">first</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">avg_serendipity</span></div>
 
+
     <span class="c1"># Coverage metrics</span>
-<div class="viewcode-block" id="SparkDiversityEvaluation.catalog_coverage"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage">[docs]</a>    <span class="k">def</span> <span class="nf">catalog_coverage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.catalog_coverage">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage">[docs]</a>
+    <span class="k">def</span> <span class="nf">catalog_coverage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate catalog coverage for recommendations across all users.</span>
 <span class="sd">        The metric definition is based on the &quot;catalog coverage&quot; definition in the following reference:</span>
 
@@ -1260,7 +1337,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
         <span class="n">c_coverage</span> <span class="o">=</span> <span class="n">count_distinct_item_reco</span> <span class="o">/</span> <span class="n">count_distinct_item_train</span>
         <span class="k">return</span> <span class="n">c_coverage</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.distributional_coverage"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage">[docs]</a>    <span class="k">def</span> <span class="nf">distributional_coverage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.distributional_coverage">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage">[docs]</a>
+    <span class="k">def</span> <span class="nf">distributional_coverage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate distributional coverage for recommendations across all users.</span>
 <span class="sd">        The metric definition is based on formula (21) in the following reference:</span>
 
@@ -1283,7 +1363,9 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
         <span class="c1"># distributional coverage</span>
         <span class="n">d_coverage</span> <span class="o">=</span> <span class="o">-</span><span class="n">df_entropy</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">F</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="s2">&quot;entropy(i)&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">collect</span><span class="p">()[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
 
-        <span class="k">return</span> <span class="n">d_coverage</span></div></div>
+        <span class="k">return</span> <span class="n">d_coverage</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -1324,7 +1406,7 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1348,8 +1430,8 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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 </form></div>
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@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.cornac.cornac_utils.predict">[docs]</a><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span>
+<div class="viewcode-block" id="predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.cornac.cornac_utils.predict">[docs]</a>
+<span class="k">def</span> <span class="nf">predict</span><span class="p">(</span>
     <span class="n">model</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">usercol</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -375,7 +387,10 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
     <span class="k">return</span> <span class="n">predictions</span></div>
 
 
-<div class="viewcode-block" id="predict_ranking"><a class="viewcode-back" href="../../../../models.html#recommenders.models.cornac.cornac_utils.predict_ranking">[docs]</a><span class="k">def</span> <span class="nf">predict_ranking</span><span class="p">(</span>
+
+<div class="viewcode-block" id="predict_ranking">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.cornac.cornac_utils.predict_ranking">[docs]</a>
+<span class="k">def</span> <span class="nf">predict_ranking</span><span class="p">(</span>
     <span class="n">model</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">usercol</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -422,6 +437,7 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
         <span class="k">return</span> <span class="n">merged</span><span class="p">[</span><span class="n">merged</span><span class="p">[</span><span class="s2">&quot;dummycol&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">isnull</span><span class="p">()]</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;dummycol&quot;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="k">return</span> <span class="n">all_predictions</span></div>
+
 </pre></div>
 
                 </article>
@@ -462,7 +478,7 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
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index 83f744d6e..1eef829b8 100644
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@@ -80,7 +83,6 @@
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-
   
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@@ -120,13 +122,10 @@
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 </form></div>
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@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__default-text">Search</span>
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+ `);
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 <ul class="nav bd-sidenav">
@@ -342,14 +352,18 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="ImplicitCF"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF">[docs]</a><span class="k">class</span> <span class="nc">ImplicitCF</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="ImplicitCF">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF">[docs]</a>
+<span class="k">class</span> <span class="nc">ImplicitCF</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Data processing class for GCN models which use implicit feedback.</span>
 
 <span class="sd">    Initialize train and test set, create normalized adjacency matrix and sample data for training epochs.</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="ImplicitCF.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="ImplicitCF.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train</span><span class="p">,</span>
         <span class="n">test</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -386,6 +400,7 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
 
         <span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_data_processing</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train</span><span class="p">,</span> <span class="n">test</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Process the dataset to reindex userID and itemID and only keep records with ratings greater than 0.</span>
 
@@ -472,7 +487,9 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
         <span class="bp">self</span><span class="o">.</span><span class="n">R</span> <span class="o">=</span> <span class="n">sp</span><span class="o">.</span><span class="n">dok_matrix</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">n_users</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_items</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">R</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_user</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_item</span><span class="p">]]</span> <span class="o">=</span> <span class="mf">1.0</span>
 
-<div class="viewcode-block" id="ImplicitCF.get_norm_adj_mat"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat">[docs]</a>    <span class="k">def</span> <span class="nf">get_norm_adj_mat</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="ImplicitCF.get_norm_adj_mat">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_norm_adj_mat</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load normalized adjacency matrix if it exists, otherwise create (and save) it.</span>
 
 <span class="sd">        Returns:</span>
@@ -491,7 +508,10 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
                 <span class="n">sp</span><span class="o">.</span><span class="n">save_npz</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">adj_dir</span> <span class="o">+</span> <span class="s2">&quot;/norm_adj_mat.npz&quot;</span><span class="p">,</span> <span class="n">norm_adj_mat</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">norm_adj_mat</span></div>
 
-<div class="viewcode-block" id="ImplicitCF.create_norm_adj_mat"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat">[docs]</a>    <span class="k">def</span> <span class="nf">create_norm_adj_mat</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ImplicitCF.create_norm_adj_mat">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat">[docs]</a>
+    <span class="k">def</span> <span class="nf">create_norm_adj_mat</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Create normalized adjacency matrix.</span>
 
 <span class="sd">        Returns:</span>
@@ -519,7 +539,10 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
 
         <span class="k">return</span> <span class="n">norm_adj_mat</span><span class="o">.</span><span class="n">tocsr</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="ImplicitCF.train_loader"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader">[docs]</a>    <span class="k">def</span> <span class="nf">train_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ImplicitCF.train_loader">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader">[docs]</a>
+    <span class="k">def</span> <span class="nf">train_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Sample train data every batch. One positive item and one negative item sampled for each user.</span>
 
 <span class="sd">        Args:</span>
@@ -552,7 +575,9 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
             <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">sample_neg</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
         <span class="p">)</span>
 
-        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">users</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">pos_items</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">neg_items</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">users</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">pos_items</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">neg_items</span><span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -593,7 +618,7 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -617,8 +642,8 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
   </div>
   
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+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/_modules/recommenders/models/deeprec/deeprec_utils.html b/_modules/recommenders/models/deeprec/deeprec_utils.html
index 74d8553a9..be1017e4d 100644
--- a/_modules/recommenders/models/deeprec/deeprec_utils.html
+++ b/_modules/recommenders/models/deeprec/deeprec_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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@@ -18,54 +17,58 @@
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-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/deeprec_utils';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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@@ -120,13 +122,10 @@
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 </form></div>
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+ `);
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@@ -346,7 +356,9 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
 <span class="kn">from</span> <span class="nn">recommenders.datasets.download_utils</span> <span class="kn">import</span> <span class="n">maybe_download</span>
 
 
-<div class="viewcode-block" id="flat_config"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.flat_config">[docs]</a><span class="k">def</span> <span class="nf">flat_config</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
+<div class="viewcode-block" id="flat_config">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.flat_config">[docs]</a>
+<span class="k">def</span> <span class="nf">flat_config</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Flat config loaded from a yaml file to a flat dict.</span>
 
 <span class="sd">    Args:</span>
@@ -363,7 +375,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">f_config</span></div>
 
 
-<div class="viewcode-block" id="check_type"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.check_type">[docs]</a><span class="k">def</span> <span class="nf">check_type</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
+
+<div class="viewcode-block" id="check_type">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.check_type">[docs]</a>
+<span class="k">def</span> <span class="nf">check_type</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check that the config parameters are the correct type</span>
 
 <span class="sd">    Args:</span>
@@ -459,7 +474,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
             <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Parameters </span><span class="si">{0}</span><span class="s2"> must be list&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">param</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="check_nn_config"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.check_nn_config">[docs]</a><span class="k">def</span> <span class="nf">check_nn_config</span><span class="p">(</span><span class="n">f_config</span><span class="p">):</span>
+
+<div class="viewcode-block" id="check_nn_config">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.check_nn_config">[docs]</a>
+<span class="k">def</span> <span class="nf">check_nn_config</span><span class="p">(</span><span class="n">f_config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check neural networks configuration.</span>
 
 <span class="sd">    Args:</span>
@@ -611,7 +629,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="n">check_type</span><span class="p">(</span><span class="n">f_config</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="load_yaml"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.load_yaml">[docs]</a><span class="k">def</span> <span class="nf">load_yaml</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="load_yaml">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.load_yaml">[docs]</a>
+<span class="k">def</span> <span class="nf">load_yaml</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Load a yaml file.</span>
 
 <span class="sd">    Args:</span>
@@ -630,10 +651,15 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
         <span class="k">raise</span> <span class="ne">IOError</span><span class="p">(</span><span class="s2">&quot;load </span><span class="si">{0}</span><span class="s2"> error!&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">filename</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="HParams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams">[docs]</a><span class="k">class</span> <span class="nc">HParams</span><span class="p">:</span>
+
+<div class="viewcode-block" id="HParams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams">[docs]</a>
+<span class="k">class</span> <span class="nc">HParams</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Class for holding hyperparameters for DeepRec algorithms.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="HParams.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="HParams.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Create an HParams object from a dictionary of hyperparameter values.</span>
 
 <span class="sd">        Args:</span>
@@ -655,19 +681,29 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
         <span class="k">for</span> <span class="n">hparam</span> <span class="ow">in</span> <span class="n">hparams_dict</span><span class="p">:</span>
             <span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparam</span><span class="p">,</span> <span class="n">hparams_dict</span><span class="p">[</span><span class="n">hparam</span><span class="p">])</span></div>
 
-<div class="viewcode-block" id="HParams.__repr__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.__repr__">[docs]</a>    <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="HParams.__repr__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.__repr__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="s2">&quot;HParams object with values </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_values</span><span class="o">.</span><span class="fm">__repr__</span><span class="p">())</span></div>
 
-<div class="viewcode-block" id="HParams.values"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.values">[docs]</a>    <span class="k">def</span> <span class="nf">values</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="HParams.values">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.values">[docs]</a>
+    <span class="k">def</span> <span class="nf">values</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the hyperparameter values as a dictionary.</span>
 
 <span class="sd">        Returns:</span>
 <span class="sd">            dict: Dictionary with the hyperparameter values.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_values</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_values</span></div>
+</div>
 
 
-<div class="viewcode-block" id="create_hparams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.create_hparams">[docs]</a><span class="k">def</span> <span class="nf">create_hparams</span><span class="p">(</span><span class="n">flags</span><span class="p">):</span>
+
+<div class="viewcode-block" id="create_hparams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.create_hparams">[docs]</a>
+<span class="k">def</span> <span class="nf">create_hparams</span><span class="p">(</span><span class="n">flags</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Create the model hyperparameters.</span>
 
 <span class="sd">    Args:</span>
@@ -732,7 +768,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">HParams</span><span class="p">(</span><span class="n">init_dict</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="prepare_hparams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.prepare_hparams">[docs]</a><span class="k">def</span> <span class="nf">prepare_hparams</span><span class="p">(</span><span class="n">yaml_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="prepare_hparams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.prepare_hparams">[docs]</a>
+<span class="k">def</span> <span class="nf">prepare_hparams</span><span class="p">(</span><span class="n">yaml_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Prepare the model hyperparameters and check that all have the correct value.</span>
 
 <span class="sd">    Args:</span>
@@ -755,7 +794,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">create_hparams</span><span class="p">(</span><span class="n">config</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="download_deeprec_resources"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources">[docs]</a><span class="k">def</span> <span class="nf">download_deeprec_resources</span><span class="p">(</span><span class="n">azure_container_url</span><span class="p">,</span> <span class="n">data_path</span><span class="p">,</span> <span class="n">remote_resource_name</span><span class="p">):</span>
+
+<div class="viewcode-block" id="download_deeprec_resources">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources">[docs]</a>
+<span class="k">def</span> <span class="nf">download_deeprec_resources</span><span class="p">(</span><span class="n">azure_container_url</span><span class="p">,</span> <span class="n">data_path</span><span class="p">,</span> <span class="n">remote_resource_name</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download resources.</span>
 
 <span class="sd">    Args:</span>
@@ -772,7 +814,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="n">remote_resource_name</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="mrr_score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.mrr_score">[docs]</a><span class="k">def</span> <span class="nf">mrr_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">):</span>
+
+<div class="viewcode-block" id="mrr_score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.mrr_score">[docs]</a>
+<span class="k">def</span> <span class="nf">mrr_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Computing mrr score metric.</span>
 
 <span class="sd">    Args:</span>
@@ -788,7 +833,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">rr_score</span><span class="p">)</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">y_true</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="ndcg_score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.ndcg_score">[docs]</a><span class="k">def</span> <span class="nf">ndcg_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ndcg_score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.ndcg_score">[docs]</a>
+<span class="k">def</span> <span class="nf">ndcg_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Computing ndcg score metric at k.</span>
 
 <span class="sd">    Args:</span>
@@ -803,7 +851,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">actual</span> <span class="o">/</span> <span class="n">best</span></div>
 
 
-<div class="viewcode-block" id="hit_score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.hit_score">[docs]</a><span class="k">def</span> <span class="nf">hit_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="hit_score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.hit_score">[docs]</a>
+<span class="k">def</span> <span class="nf">hit_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Computing hit score metric at k.</span>
 
 <span class="sd">    Args:</span>
@@ -821,7 +872,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="mi">0</span></div>
 
 
-<div class="viewcode-block" id="dcg_score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.dcg_score">[docs]</a><span class="k">def</span> <span class="nf">dcg_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="dcg_score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.dcg_score">[docs]</a>
+<span class="k">def</span> <span class="nf">dcg_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Computing dcg score metric at k.</span>
 
 <span class="sd">    Args:</span>
@@ -839,7 +893,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">gains</span> <span class="o">/</span> <span class="n">discounts</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="cal_metric"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.cal_metric">[docs]</a><span class="k">def</span> <span class="nf">cal_metric</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">metrics</span><span class="p">):</span>
+
+<div class="viewcode-block" id="cal_metric">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.cal_metric">[docs]</a>
+<span class="k">def</span> <span class="nf">cal_metric</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">metrics</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate metrics.</span>
 
 <span class="sd">    Available options are: `auc`, `rmse`, `logloss`, `acc` (accurary), `f1`, `mean_mrr`,</span>
@@ -930,7 +987,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">res</span></div>
 
 
-<div class="viewcode-block" id="load_dict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.load_dict">[docs]</a><span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="load_dict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.load_dict">[docs]</a>
+<span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Load the vocabularies.</span>
 
 <span class="sd">    Args:</span>
@@ -942,6 +1002,7 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="s2">&quot;rb&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
         <span class="n">f_pkl</span> <span class="o">=</span> <span class="n">pkl</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">f_pkl</span></div>
+
 </pre></div>
 
                 </article>
@@ -982,7 +1043,7 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1006,8 +1067,8 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html b/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html
index a9acf16fc..0e0d1f5f5 100644
--- a/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html
+++ b/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html
@@ -1,9 +1,8 @@
 
-
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+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/io/dkn_item2item_iterator';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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@@ -334,8 +344,12 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
 <span class="kn">from</span> <span class="nn">recommenders.models.deeprec.io.dkn_iterator</span> <span class="kn">import</span> <span class="n">DKNTextIterator</span>
 
 
-<div class="viewcode-block" id="DKNItem2itemTextIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator">[docs]</a><span class="k">class</span> <span class="nc">DKNItem2itemTextIterator</span><span class="p">(</span><span class="n">DKNTextIterator</span><span class="p">):</span>
-<div class="viewcode-block" id="DKNItem2itemTextIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2itemTextIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">DKNItem2itemTextIterator</span><span class="p">(</span><span class="n">DKNTextIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2itemTextIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;This new iterator is for DKN&#39;s item-to-item recommendations version.</span>
 <span class="sd">        The tutorial can be found `on this notebook &lt;https://github.com/microsoft/recommenders/blob/main/examples/07_tutorials/KDD2020-tutorial/step4_run_dkn_item2item.ipynb&gt;`_.</span>
 
@@ -363,6 +377,7 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
 
         <span class="bp">self</span><span class="o">.</span><span class="n">_loading_nessary_files</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_loading_nessary_files</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Only one feature file is needed:  `news_feature_file`.</span>
 <span class="sd">        This function loads the news article&#39;s features into two dictionaries: `self.news_word_index` and `self.news_entity_index`.</span>
@@ -383,7 +398,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
                     <span class="nb">int</span><span class="p">(</span><span class="n">item</span><span class="p">)</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">entity_index</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;,&quot;</span><span class="p">)</span>
                 <span class="p">]</span>
 
-<div class="viewcode-block" id="DKNItem2itemTextIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2itemTextIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;This function will return a mini-batch of data with features,</span>
 <span class="sd">        by looking up `news_word_index` dictionary and `news_entity_index` dictionary according to the news article&#39;s ID.</span>
 
@@ -442,7 +459,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
                     <span class="n">candidate_news_index_batch</span><span class="p">,</span>
                     <span class="n">candidate_news_entity_index_batch</span><span class="p">,</span>
                 <span class="p">)</span>
-                <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_infer_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">newsid_list</span><span class="p">,</span> <span class="n">data_size</span></div></div>
+                <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_infer_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">newsid_list</span><span class="p">,</span> <span class="n">data_size</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -483,7 +502,7 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -507,8 +526,8 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
   </div>
   
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diff --git a/_modules/recommenders/models/deeprec/io/dkn_iterator.html b/_modules/recommenders/models/deeprec/io/dkn_iterator.html
index df07fdc99..3bd3e1544 100644
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+++ b/_modules/recommenders/models/deeprec/io/dkn_iterator.html
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+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/io/dkn_iterator';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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@@ -167,7 +166,18 @@
   
   
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+        <div class="sidebar-primary-item">
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+ `);
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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@@ -338,7 +348,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;DKNTextIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="DKNTextIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator">[docs]</a><span class="k">class</span> <span class="nc">DKNTextIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNTextIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">DKNTextIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Data loader for the DKN model.</span>
 <span class="sd">    DKN requires a special type of data format, where each instance contains a label, the candidate news article,</span>
 <span class="sd">    and user&#39;s clicked news article. Articles are represented by title words and title entities. Words and entities</span>
@@ -348,7 +360,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
 <span class="sd">    per mini-batch, so that large files can be used as input data.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="DKNTextIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot; &quot;</span><span class="p">,</span> <span class="n">ID_spliter</span><span class="o">=</span><span class="s2">&quot;%&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNTextIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot; &quot;</span><span class="p">,</span> <span class="n">ID_spliter</span><span class="o">=</span><span class="s2">&quot;%&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize an iterator. Create necessary placeholders for the model.</span>
 
 <span class="sd">        Args:</span>
@@ -416,7 +430,10 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
                     <span class="n">click_news_entity_index</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">doc_size</span><span class="p">))</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">user_history</span><span class="p">[</span><span class="n">userid</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">click_news_index</span><span class="p">,</span> <span class="n">click_news_entity_index</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="DKNTextIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNTextIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one string line into feature values.</span>
 
 <span class="sd">        Args:</span>
@@ -452,7 +469,10 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
             <span class="n">impression_id</span><span class="p">,</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="DKNTextIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNTextIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file.</span>
 
 <span class="sd">        Args:</span>
@@ -537,7 +557,10 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
                 <span class="p">)</span>
                 <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">impression_id_list</span><span class="p">,</span> <span class="n">data_size</span></div>
 
-<div class="viewcode-block" id="DKNTextIterator.load_infer_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_infer_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNTextIterator.load_infer_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_infer_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file for infer document embedding.</span>
 
 <span class="sd">        Args:</span>
@@ -594,6 +617,7 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
                 <span class="p">)</span>
                 <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_infer_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">newsid_list</span><span class="p">,</span> <span class="n">data_size</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -653,7 +677,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
         <span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span>
 
-<div class="viewcode-block" id="DKNTextIterator.gen_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict">[docs]</a>    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNTextIterator.gen_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
@@ -680,7 +706,10 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
         <span class="p">}</span>
         <span class="k">return</span> <span class="n">feed_dict</span></div>
 
-<div class="viewcode-block" id="DKNTextIterator.gen_infer_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict">[docs]</a>    <span class="k">def</span> <span class="nf">gen_infer_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNTextIterator.gen_infer_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_infer_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
@@ -698,7 +727,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
                 <span class="s2">&quot;candidate_news_entity_index_batch&quot;</span>
             <span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">([</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">doc_size</span><span class="p">]),</span>
         <span class="p">}</span>
-        <span class="k">return</span> <span class="n">feed_dict</span></div></div>
+        <span class="k">return</span> <span class="n">feed_dict</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -739,7 +770,7 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -763,8 +794,8 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
   </div>
   
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-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
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+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/_modules/recommenders/models/deeprec/io/iterator.html b/_modules/recommenders/models/deeprec/io/iterator.html
index 4e94f6a7c..1df9b362a 100644
--- a/_modules/recommenders/models/deeprec/io/iterator.html
+++ b/_modules/recommenders/models/deeprec/io/iterator.html
@@ -1,9 +1,8 @@
 
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+<html lang="en" data-content_root="../../../../../" >
 
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+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/pygments.css?v=fa44fd50" />
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+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
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-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -334,10 +344,14 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 <span class="kn">import</span> <span class="nn">abc</span>
 
 
-<div class="viewcode-block" id="BaseIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator">[docs]</a><span class="k">class</span> <span class="nc">BaseIterator</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="BaseIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseIterator</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Abstract base iterator class&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="BaseIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line">[docs]</a>    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
+<div class="viewcode-block" id="BaseIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line">[docs]</a>
+    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Abstract method. Parse one string line into feature values.</span>
 
@@ -346,7 +360,10 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">pass</span></div>
 
-<div class="viewcode-block" id="BaseIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file">[docs]</a>    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
+
+<div class="viewcode-block" id="BaseIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file">[docs]</a>
+    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Abstract method. Read and parse data from a file.</span>
 
@@ -355,27 +372,36 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">pass</span></div>
 
+
     <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
         <span class="k">pass</span>
 
-<div class="viewcode-block" id="BaseIterator.gen_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict">[docs]</a>    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
+<div class="viewcode-block" id="BaseIterator.gen_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict">[docs]</a>
+    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Abstract method. Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
 <span class="sd">            data_dict (dict): A dictionary that maps string name to numpy arrays.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">pass</span></div></div>
+        <span class="k">pass</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="FFMTextIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator">[docs]</a><span class="k">class</span> <span class="nc">FFMTextIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="FFMTextIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">FFMTextIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Data loader for FFM format based models, such as xDeepFM.</span>
 <span class="sd">    Iterator will not load the whole data into memory. Instead, it loads data into memory</span>
 <span class="sd">    per mini-batch, so that large files can be used as input data.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="FFMTextIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot; &quot;</span><span class="p">,</span> <span class="n">ID_spliter</span><span class="o">=</span><span class="s2">&quot;%&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="FFMTextIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot; &quot;</span><span class="p">,</span> <span class="n">ID_spliter</span><span class="o">=</span><span class="s2">&quot;%&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize an iterator. Create the necessary placeholders for the model.</span>
 
 <span class="sd">        Args:</span>
@@ -415,7 +441,10 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
                 <span class="n">tf</span><span class="o">.</span><span class="n">int64</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;dnn_feat_shape&quot;</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="FFMTextIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="FFMTextIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one string line into feature values.</span>
 
 <span class="sd">        Args:</span>
@@ -443,7 +472,10 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 
         <span class="k">return</span> <span class="n">label</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">impression_id</span></div>
 
-<div class="viewcode-block" id="FFMTextIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
+
+<div class="viewcode-block" id="FFMTextIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file.</span>
 
 <span class="sd">        Args:</span>
@@ -477,6 +509,7 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
                 <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_convert_data</span><span class="p">(</span><span class="n">label_list</span><span class="p">,</span> <span class="n">features_list</span><span class="p">)</span>
                 <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">impression_id_list</span><span class="p">,</span> <span class="n">cnt</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert data into numpy arrays that are good for further operation.</span>
 
@@ -546,7 +579,9 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
         <span class="n">res</span><span class="p">[</span><span class="s2">&quot;dnn_feat_shape&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">dnn_feat_shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span>
 
-<div class="viewcode-block" id="FFMTextIterator.gen_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict">[docs]</a>    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="FFMTextIterator.gen_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
@@ -566,7 +601,9 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
             <span class="bp">self</span><span class="o">.</span><span class="n">dnn_feat_weights</span><span class="p">:</span> <span class="n">data_dict</span><span class="p">[</span><span class="s2">&quot;dnn_feat_weights&quot;</span><span class="p">],</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">dnn_feat_shape</span><span class="p">:</span> <span class="n">data_dict</span><span class="p">[</span><span class="s2">&quot;dnn_feat_shape&quot;</span><span class="p">],</span>
         <span class="p">}</span>
-        <span class="k">return</span> <span class="n">feed_dict</span></div></div>
+        <span class="k">return</span> <span class="n">feed_dict</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -607,7 +644,7 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -631,8 +668,8 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
   </div>
   
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-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/_modules/recommenders/models/deeprec/io/nextitnet_iterator.html b/_modules/recommenders/models/deeprec/io/nextitnet_iterator.html
index 7cc85edb0..df1b4b791 100644
--- a/_modules/recommenders/models/deeprec/io/nextitnet_iterator.html
+++ b/_modules/recommenders/models/deeprec/io/nextitnet_iterator.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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 </form></div>
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NextItNetIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NextItNetIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator">[docs]</a><span class="k">class</span> <span class="nc">NextItNetIterator</span><span class="p">(</span><span class="n">SequentialIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="NextItNetIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">NextItNetIterator</span><span class="p">(</span><span class="n">SequentialIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Data loader for the NextItNet model.</span>
 
 <span class="sd">    NextItNet requires a special type of data format. In training stage, each instance will</span>
@@ -348,7 +360,9 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
 <span class="sd">    output predictions of every item in a sequence except only of the last item.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NextItNetIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="NextItNetIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize an iterator. Create necessary placeholders for the model.</span>
 <span class="sd">        Different from sequential iterator</span>
 
@@ -397,6 +411,7 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
                 <span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_seq_length</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;time_to_now&quot;</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -594,6 +609,7 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
             <span class="n">res</span><span class="p">[</span><span class="s2">&quot;time_from_first_action&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">time_from_first_action_batch</span>
             <span class="n">res</span><span class="p">[</span><span class="s2">&quot;time_to_now&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">time_to_now_batch</span>
             <span class="k">return</span> <span class="n">res</span></div>
+
 </pre></div>
 
                 </article>
@@ -634,7 +650,7 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -658,8 +674,8 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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diff --git a/_modules/recommenders/models/deeprec/io/sequential_iterator.html b/_modules/recommenders/models/deeprec/io/sequential_iterator.html
index 9bbb14c80..7b6830979 100644
--- a/_modules/recommenders/models/deeprec/io/sequential_iterator.html
+++ b/_modules/recommenders/models/deeprec/io/sequential_iterator.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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+  <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/io/sequential_iterator';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/io/sequential_iterator.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
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-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -340,8 +350,12 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;SequentialIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="SequentialIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator">[docs]</a><span class="k">class</span> <span class="nc">SequentialIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
-<div class="viewcode-block" id="SequentialIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">SequentialIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize an iterator. Create necessary placeholders for the model.</span>
 
 <span class="sd">        Args:</span>
@@ -391,7 +405,10 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
                 <span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_seq_length</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;time_to_now&quot;</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SequentialIterator.parse_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file">[docs]</a>    <span class="k">def</span> <span class="nf">parse_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SequentialIterator.parse_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">parse_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse the file to A list ready to be used for downstream tasks.</span>
 
 <span class="sd">        Args:</span>
@@ -409,7 +426,10 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="n">res</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">parser_one_line</span><span class="p">(</span><span class="n">line</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">res</span></div>
 
-<div class="viewcode-block" id="SequentialIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SequentialIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one string line into feature values.</span>
 
 <span class="sd">        Args:</span>
@@ -492,7 +512,10 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="n">time_to_now</span><span class="p">,</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SequentialIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">,</span> <span class="n">batch_num_ngs</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">min_seq_length</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SequentialIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">,</span> <span class="n">batch_num_ngs</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">min_seq_length</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file.</span>
 
 <span class="sd">        Args:</span>
@@ -602,6 +625,7 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="n">batch_input</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">)</span>
             <span class="k">yield</span> <span class="n">batch_input</span> <span class="k">if</span> <span class="n">batch_input</span> <span class="k">else</span> <span class="kc">None</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -776,7 +800,9 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="n">res</span><span class="p">[</span><span class="s2">&quot;time_to_now&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">time_to_now_batch</span>
             <span class="k">return</span> <span class="n">res</span>
 
-<div class="viewcode-block" id="SequentialIterator.gen_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict">[docs]</a>    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialIterator.gen_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
@@ -801,7 +827,9 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="bp">self</span><span class="o">.</span><span class="n">time_from_first_action</span><span class="p">:</span> <span class="n">data_dict</span><span class="p">[</span><span class="s2">&quot;time_from_first_action&quot;</span><span class="p">],</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">time_to_now</span><span class="p">:</span> <span class="n">data_dict</span><span class="p">[</span><span class="s2">&quot;time_to_now&quot;</span><span class="p">],</span>
         <span class="p">}</span>
-        <span class="k">return</span> <span class="n">feed_dict</span></div></div>
+        <span class="k">return</span> <span class="n">feed_dict</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -842,7 +870,7 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -866,8 +894,8 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
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diff --git a/_modules/recommenders/models/deeprec/models/base_model.html b/_modules/recommenders/models/deeprec/models/base_model.html
index b16c873ab..2ae89da8a 100644
--- a/_modules/recommenders/models/deeprec/models/base_model.html
+++ b/_modules/recommenders/models/deeprec/models/base_model.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
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+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/base_model';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/base_model.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -120,13 +122,10 @@
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 </form></div>
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@@ -167,7 +166,18 @@
   
   
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,10 +352,14 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;BaseModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="BaseModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel">[docs]</a><span class="k">class</span> <span class="nc">BaseModel</span><span class="p">:</span>
+<div class="viewcode-block" id="BaseModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseModel</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Base class for models&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="BaseModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="BaseModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initializing the model. Create common logics which are needed by all deeprec models, such as loss function,</span>
 <span class="sd">        parameter set.</span>
 
@@ -400,6 +414,7 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">init_op</span><span class="p">)</span></div>
 
+
     <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">_build_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Subclass will implement this.&quot;&quot;&quot;</span>
@@ -692,7 +707,9 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">logit</span><span class="p">,</span> <span class="n">rate</span><span class="o">=</span><span class="mi">1</span> <span class="o">-</span> <span class="p">(</span><span class="n">keep_prob</span><span class="p">))</span>
 
-<div class="viewcode-block" id="BaseModel.train"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.train">[docs]</a>    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="BaseModel.train">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Go through the optimization step once with training data in `feed_dict`.</span>
 
 <span class="sd">        Args:</span>
@@ -715,7 +732,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
             <span class="n">feed_dict</span><span class="o">=</span><span class="n">feed_dict</span><span class="p">,</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="BaseModel.eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.eval">[docs]</a>    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the data in `feed_dict` with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -729,7 +749,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
         <span class="n">feed_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">is_train_stage</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
         <span class="k">return</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">pred</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">iterator</span><span class="o">.</span><span class="n">labels</span><span class="p">],</span> <span class="n">feed_dict</span><span class="o">=</span><span class="n">feed_dict</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="BaseModel.infer"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.infer">[docs]</a>    <span class="k">def</span> <span class="nf">infer</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.infer">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.infer">[docs]</a>
+    <span class="k">def</span> <span class="nf">infer</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Given feature data (in `feed_dict`), get predicted scores with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -743,7 +766,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
         <span class="n">feed_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">is_train_stage</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
         <span class="k">return</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">pred</span><span class="p">],</span> <span class="n">feed_dict</span><span class="o">=</span><span class="n">feed_dict</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="BaseModel.load_model"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.load_model">[docs]</a>    <span class="k">def</span> <span class="nf">load_model</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.load_model">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.load_model">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_model</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load an existing model.</span>
 
 <span class="sd">        Args:</span>
@@ -761,7 +787,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
         <span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
             <span class="k">raise</span> <span class="ne">IOError</span><span class="p">(</span><span class="s2">&quot;Failed to find any matching files for </span><span class="si">{0}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">act_path</span><span class="p">))</span></div>
 
-<div class="viewcode-block" id="BaseModel.fit"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_file</span><span class="p">,</span> <span class="n">valid_file</span><span class="p">,</span> <span class="n">test_file</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.fit">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_file</span><span class="p">,</span> <span class="n">valid_file</span><span class="p">,</span> <span class="n">test_file</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit the model with `train_file`. Evaluate the model on valid_file per epoch to observe the training status.</span>
 <span class="sd">        If `test_file` is not None, evaluate it too.</span>
 
@@ -867,7 +896,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
 
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="BaseModel.group_labels"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.group_labels">[docs]</a>    <span class="k">def</span> <span class="nf">group_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">group_keys</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.group_labels">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.group_labels">[docs]</a>
+    <span class="k">def</span> <span class="nf">group_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">group_keys</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Devide `labels` and `preds` into several group according to values in group keys.</span>
 
 <span class="sd">        Args:</span>
@@ -893,7 +925,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
             <span class="n">all_preds</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">group_preds</span><span class="p">[</span><span class="n">k</span><span class="p">])</span>
         <span class="k">return</span> <span class="n">all_labels</span><span class="p">,</span> <span class="n">all_preds</span></div>
 
-<div class="viewcode-block" id="BaseModel.run_eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.run_eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the given file and returns some evaluation metrics.</span>
 
 <span class="sd">        Args:</span>
@@ -922,7 +957,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
             <span class="n">res</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">res_pairwise</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span></div>
 
-<div class="viewcode-block" id="BaseModel.predict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.predict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Make predictions on the given data, and output predicted scores to a file.</span>
 
 <span class="sd">        Args:</span>
@@ -945,6 +983,7 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
                 <span class="n">wt</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
+
     <span class="k">def</span> <span class="nf">_attention</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">attention_size</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Soft alignment attention implement.</span>
 
@@ -1061,6 +1100,7 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
                 <span class="p">)</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">logit</span> <span class="o">=</span> <span class="n">nn_output</span>
         <span class="k">return</span> <span class="n">nn_output</span></div>
+
 </pre></div>
 
                 </article>
@@ -1101,7 +1141,7 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1125,8 +1165,8 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
   </div>
   
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diff --git a/_modules/recommenders/models/deeprec/models/dkn.html b/_modules/recommenders/models/deeprec/models/dkn.html
index 5881b00bd..1852772b8 100644
--- a/_modules/recommenders/models/deeprec/models/dkn.html
+++ b/_modules/recommenders/models/deeprec/models/dkn.html
@@ -1,9 +1,8 @@
 
-
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+<html lang="en" data-content_root="../../../../../" >
 
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+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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-
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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@@ -167,7 +166,18 @@
   
   
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;DKN&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="DKN"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN">[docs]</a><span class="k">class</span> <span class="nc">DKN</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="DKN">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN">[docs]</a>
+<span class="k">class</span> <span class="nc">DKN</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;DKN model (Deep Knowledge-Aware Network)</span>
 
 <span class="sd">    :Citation:</span>
@@ -347,7 +359,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
 <span class="sd">        Wide Web, 2018.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="DKN.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">):</span>
+<div class="viewcode-block" id="DKN.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for DKN.</span>
 <span class="sd">        Compared with the BaseModel, DKN requires two different pre-computed embeddings,</span>
 <span class="sd">        i.e. word embedding and entity embedding.</span>
@@ -405,6 +419,7 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">graph</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_init_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load pre-trained embeddings as a constant tensor.</span>
 
@@ -767,7 +782,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
         <span class="n">h_pool_flat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">h_pool</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">num_filters_total</span><span class="p">])</span>
         <span class="k">return</span> <span class="n">h_pool_flat</span>
 
-<div class="viewcode-block" id="DKN.infer_embedding"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.infer_embedding">[docs]</a>    <span class="k">def</span> <span class="nf">infer_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="DKN.infer_embedding">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.infer_embedding">[docs]</a>
+    <span class="k">def</span> <span class="nf">infer_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Infer document embedding in feed_dict with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -781,7 +798,10 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
         <span class="n">feed_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">is_train_stage</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
         <span class="k">return</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">news_field_embed_final_batch</span><span class="p">],</span> <span class="n">feed_dict</span><span class="o">=</span><span class="n">feed_dict</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="DKN.run_get_embedding"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding">[docs]</a>    <span class="k">def</span> <span class="nf">run_get_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKN.run_get_embedding">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_get_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;infer document embedding with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -811,7 +831,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
                         <span class="p">)</span>
                         <span class="o">+</span> <span class="s2">&quot;</span><span class="se">\n</span><span class="s2">&quot;</span>
                     <span class="p">)</span>
-        <span class="k">return</span> <span class="bp">self</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -852,7 +874,7 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -876,8 +898,8 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
   </div>
   
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diff --git a/_modules/recommenders/models/deeprec/models/dkn_item2item.html b/_modules/recommenders/models/deeprec/models/dkn_item2item.html
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
 <span class="sd"> &quot;&quot;&quot;</span>
 
 
-<div class="viewcode-block" id="DKNItem2Item"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item">[docs]</a><span class="k">class</span> <span class="nc">DKNItem2Item</span><span class="p">(</span><span class="n">DKN</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2Item">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item">[docs]</a>
+<span class="k">class</span> <span class="nc">DKNItem2Item</span><span class="p">(</span><span class="n">DKN</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Class for item-to-item recommendations using DKN.</span>
 <span class="sd">    See https://github.com/microsoft/recommenders/blob/main/examples/07_tutorials/KDD2020-tutorial/step4_run_dkn_item2item.ipynb&quot;&quot;&quot;</span>
 
@@ -413,7 +425,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
             <span class="n">news_field_embed</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">news_field_embed</span><span class="p">,</span> <span class="n">W</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">news_field_embed</span>
 
-<div class="viewcode-block" id="DKNItem2Item.eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval">[docs]</a>    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2Item.eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the data in `feed_dict` with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -430,7 +444,10 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
         <span class="n">labels</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
         <span class="k">return</span> <span class="p">(</span><span class="n">preds</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="DKNItem2Item.run_eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNItem2Item.run_eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the given file and returns some evaluation metrics.</span>
 
 <span class="sd">        Args:</span>
@@ -454,7 +471,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
                 <span class="n">group_labels</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">step_labels</span><span class="p">)</span>
 
         <span class="n">res</span> <span class="o">=</span> <span class="n">cal_metric</span><span class="p">(</span><span class="n">group_labels</span><span class="p">,</span> <span class="n">group_preds</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hparams</span><span class="o">.</span><span class="n">pairwise_metrics</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">res</span></div></div>
+        <span class="k">return</span> <span class="n">res</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -495,7 +514,7 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
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@@ -519,8 +538,8 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -346,7 +356,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
 <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">disable_eager_execution</span><span class="p">()</span>  <span class="c1"># need to disable eager in TF2.x</span>
 
 
-<div class="viewcode-block" id="LightGCN"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN">[docs]</a><span class="k">class</span> <span class="nc">LightGCN</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="LightGCN">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN">[docs]</a>
+<span class="k">class</span> <span class="nc">LightGCN</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;LightGCN model</span>
 
 <span class="sd">    :Citation:</span>
@@ -356,7 +368,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
 <span class="sd">        preprint arXiv:2002.02126, 2020.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LightGCN.__init__"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="LightGCN.__init__">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initializing the model. Create parameters, placeholders, embeddings and loss function.</span>
 
 <span class="sd">        Args:</span>
@@ -446,6 +460,7 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span></div>
 
+
     <span class="k">def</span> <span class="nf">_init_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize user and item embeddings.</span>
 
@@ -533,7 +548,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
         <span class="n">indices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mat</span><span class="p">([</span><span class="n">coo</span><span class="o">.</span><span class="n">row</span><span class="p">,</span> <span class="n">coo</span><span class="o">.</span><span class="n">col</span><span class="p">])</span><span class="o">.</span><span class="n">transpose</span><span class="p">()</span>
         <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">SparseTensor</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="n">coo</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">coo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
 
-<div class="viewcode-block" id="LightGCN.fit"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="LightGCN.fit">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit the model on self.data.train. If eval_epoch is not -1, evaluate the model on `self.data.test`</span>
 <span class="sd">        every `eval_epoch` epoch to observe the training status.</span>
 
@@ -598,7 +615,10 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
                     <span class="p">)</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="LightGCN.load"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LightGCN.load">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load">[docs]</a>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load an existing model.</span>
 
 <span class="sd">        Args:</span>
@@ -615,7 +635,10 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
                 <span class="s2">&quot;Failed to find any matching files for </span><span class="si">{0}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model_path</span><span class="p">)</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="LightGCN.run_eval"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LightGCN.run_eval">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Run evaluation on self.data.test.</span>
 
 <span class="sd">        Returns:</span>
@@ -636,7 +659,10 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
                 <span class="n">ret</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">recall_at_k</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">test</span><span class="p">,</span> <span class="n">topk_scores</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">top_k</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">ret</span></div>
 
-<div class="viewcode-block" id="LightGCN.score"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_ids</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LightGCN.score">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score">[docs]</a>
+    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_ids</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Score all items for test users.</span>
 
 <span class="sd">        Args:</span>
@@ -668,7 +694,10 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
             <span class="n">test_scores</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">R</span><span class="o">.</span><span class="n">tocsr</span><span class="p">()[</span><span class="n">user_ids</span><span class="p">,</span> <span class="p">:]</span> <span class="o">*</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span>
         <span class="k">return</span> <span class="n">test_scores</span></div>
 
-<div class="viewcode-block" id="LightGCN.recommend_k_items"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span>
+
+<div class="viewcode-block" id="LightGCN.recommend_k_items">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">use_id</span><span class="o">=</span><span class="kc">False</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Recommend top K items for all users in the test set.</span>
@@ -709,6 +738,7 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
 
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">output_embeddings</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idmapper</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">target</span><span class="p">,</span> <span class="n">user_file</span><span class="p">):</span>
         <span class="n">embeddings</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">target</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="n">session</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">))</span>
         <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">user_file</span><span class="p">,</span> <span class="s2">&quot;w&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">wt</span><span class="p">:</span>
@@ -719,7 +749,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
                     <span class="p">)</span>
                 <span class="p">)</span>
 
-<div class="viewcode-block" id="LightGCN.infer_embedding"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding">[docs]</a>    <span class="k">def</span> <span class="nf">infer_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_file</span><span class="p">,</span> <span class="n">item_file</span><span class="p">):</span>
+<div class="viewcode-block" id="LightGCN.infer_embedding">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding">[docs]</a>
+    <span class="k">def</span> <span class="nf">infer_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_file</span><span class="p">,</span> <span class="n">item_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Export user and item embeddings to csv files.</span>
 
 <span class="sd">        Args:</span>
@@ -742,7 +774,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">output_embeddings</span><span class="p">(</span>
             <span class="n">data</span><span class="o">.</span><span class="n">id2item</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_items</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ia_embeddings</span><span class="p">,</span> <span class="n">item_file</span>
-        <span class="p">)</span></div></div>
+        <span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -783,7 +817,7 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -807,8 +841,8 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/deeprec/models/sequential/asvd.html b/_modules/recommenders/models/deeprec/models/sequential/asvd.html
index 641c033df..f547eb071 100644
--- a/_modules/recommenders/models/deeprec/models/sequential/asvd.html
+++ b/_modules/recommenders/models/deeprec/models/sequential/asvd.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
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+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
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-    <script data-url_root="../../../../../../" id="documentation_options" src="../../../../../../_static/documentation_options.js"></script>
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+  <link rel="preload" as="script" href="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
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+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
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-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/asvd';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/asvd.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.asvd</h1><div
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;A2SVDModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="A2SVDModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel">[docs]</a><span class="k">class</span> <span class="nc">A2SVDModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="A2SVDModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel">[docs]</a>
+<span class="k">class</span> <span class="nc">A2SVDModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;A2SVD Model (Attentive Asynchronous Singular Value Decomposition)</span>
 
 <span class="sd">    It extends ASVD with an attention module.</span>
@@ -373,6 +385,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.asvd</h1><div
             <span class="bp">self</span><span class="o">.</span><span class="n">model_output</span> <span class="o">=</span> <span class="n">model_output</span>
             <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="s2">&quot;model_output&quot;</span><span class="p">,</span> <span class="n">model_output</span><span class="p">)</span>
             <span class="k">return</span> <span class="n">model_output</span></div>
+
 </pre></div>
 
                 </article>
@@ -413,7 +426,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.asvd</h1><div
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -437,8 +450,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.asvd</h1><div
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/deeprec/models/sequential/caser.html b/_modules/recommenders/models/deeprec/models/sequential/caser.html
index b94c286a0..9628490eb 100644
--- a/_modules/recommenders/models/deeprec/models/sequential/caser.html
+++ b/_modules/recommenders/models/deeprec/models/sequential/caser.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
   <head>
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@@ -18,54 +17,58 @@
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-<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css?v=fa44fd50" />
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+<link rel="preload" as="script" href="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
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+
+    <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/caser';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/caser.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;CaserModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="CaserModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.caser.CaserModel">[docs]</a><span class="k">class</span> <span class="nc">CaserModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="CaserModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.caser.CaserModel">[docs]</a>
+<span class="k">class</span> <span class="nc">CaserModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Caser Model</span>
 
 <span class="sd">    :Citation:</span>
@@ -347,7 +359,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
 <span class="sd">        Web Search and Data Mining, ACM, 2018.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="CaserModel.__init__"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="CaserModel.__init__">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization of variables for caser</span>
 
 <span class="sd">        Args:</span>
@@ -364,6 +378,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
         <span class="p">]</span>  <span class="c1"># horizonal convolution filter shape</span>
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_build_seq_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;The main function to create caser model.</span>
 
@@ -434,6 +449,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
             <span class="n">activation</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">,</span>
             <span class="n">name</span><span class="o">=</span><span class="s2">&quot;conv_&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">shape</span><span class="p">),</span>
         <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -474,7 +490,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -498,8 +514,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/deeprec/models/sequential/gru.html b/_modules/recommenders/models/deeprec/models/sequential/gru.html
index a9dcbc477..21377df0f 100644
--- a/_modules/recommenders/models/deeprec/models/sequential/gru.html
+++ b/_modules/recommenders/models/deeprec/models/sequential/gru.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
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+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
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+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.gru</h1><div c
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;GRUModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="GRUModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.gru.GRUModel">[docs]</a><span class="k">class</span> <span class="nc">GRUModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="GRUModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.gru.GRUModel">[docs]</a>
+<span class="k">class</span> <span class="nc">GRUModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;GRU Model</span>
 
 <span class="sd">    :Citation:</span>
@@ -406,6 +418,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.gru</h1><div c
             <span class="p">)</span>
             <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="s2">&quot;GRU_outputs&quot;</span><span class="p">,</span> <span class="n">rnn_outputs</span><span class="p">)</span>
             <span class="k">return</span> <span class="n">final_state</span></div>
+
 </pre></div>
 
                 </article>
@@ -446,7 +459,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.gru</h1><div c
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -470,8 +483,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.gru</h1><div c
   </div>
   
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diff --git a/_modules/recommenders/models/deeprec/models/sequential/nextitnet.html b/_modules/recommenders/models/deeprec/models/sequential/nextitnet.html
index a54d472ad..a48b1027a 100644
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+++ b/_modules/recommenders/models/deeprec/models/sequential/nextitnet.html
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-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/nextitnet';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/nextitnet.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.nextitnet</h1>
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NextItNetModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NextItNetModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel">[docs]</a><span class="k">class</span> <span class="nc">NextItNetModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="NextItNetModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel">[docs]</a>
+<span class="k">class</span> <span class="nc">NextItNetModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NextItNet Model</span>
 
 <span class="sd">    :Citation:</span>
@@ -564,6 +576,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.nextitnet</h1>
             <span class="n">x</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">mean</span><span class="p">)</span> <span class="o">/</span> <span class="n">tf</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">variance</span> <span class="o">+</span> <span class="n">epsilon</span><span class="p">)</span>
 
             <span class="k">return</span> <span class="n">gamma</span> <span class="o">*</span> <span class="n">x</span> <span class="o">+</span> <span class="n">beta</span></div>
+
 </pre></div>
 
                 </article>
@@ -604,7 +617,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.nextitnet</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -628,8 +641,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.nextitnet</h1>
   </div>
   
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+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html b/_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html
index 985a57f7b..d9a7d2b08 100644
--- a/_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html
+++ b/_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
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@@ -18,54 +17,58 @@
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-<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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 </form></div>
   </div>
-
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+    </header>
   
-  </header>
 
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     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -371,7 +381,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="Time4LSTMCell"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell">[docs]</a><span class="k">class</span> <span class="nc">Time4LSTMCell</span><span class="p">(</span><span class="n">RNNCell</span><span class="p">):</span>
+<div class="viewcode-block" id="Time4LSTMCell">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell">[docs]</a>
+<span class="k">class</span> <span class="nc">Time4LSTMCell</span><span class="p">(</span><span class="n">RNNCell</span><span class="p">):</span>
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">num_units</span><span class="p">,</span>
@@ -453,7 +465,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
     <span class="k">def</span> <span class="nf">output_size</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_output_size</span>
 
-<div class="viewcode-block" id="Time4LSTMCell.call"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+<div class="viewcode-block" id="Time4LSTMCell.call">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call method for the Time4LSTMCell.</span>
 
 <span class="sd">        Args:</span>
@@ -633,10 +647,14 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
             <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_state_is_tuple</span>
             <span class="k">else</span> <span class="n">array_ops</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">c</span><span class="p">,</span> <span class="n">m</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
         <span class="p">)</span>
-        <span class="k">return</span> <span class="n">m</span><span class="p">,</span> <span class="n">new_state</span></div></div>
+        <span class="k">return</span> <span class="n">m</span><span class="p">,</span> <span class="n">new_state</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="Time4ALSTMCell"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell">[docs]</a><span class="k">class</span> <span class="nc">Time4ALSTMCell</span><span class="p">(</span><span class="n">RNNCell</span><span class="p">):</span>
+<div class="viewcode-block" id="Time4ALSTMCell">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell">[docs]</a>
+<span class="k">class</span> <span class="nc">Time4ALSTMCell</span><span class="p">(</span><span class="n">RNNCell</span><span class="p">):</span>
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">num_units</span><span class="p">,</span>
@@ -718,7 +736,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
     <span class="k">def</span> <span class="nf">output_size</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_output_size</span>
 
-<div class="viewcode-block" id="Time4ALSTMCell.call"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+<div class="viewcode-block" id="Time4ALSTMCell.call">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call method for the Time4ALSTMCell.</span>
 
 <span class="sd">        Args:</span>
@@ -900,7 +920,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
             <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_state_is_tuple</span>
             <span class="k">else</span> <span class="n">array_ops</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">c</span><span class="p">,</span> <span class="n">m</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
         <span class="p">)</span>
-        <span class="k">return</span> <span class="n">m</span><span class="p">,</span> <span class="n">new_state</span></div></div>
+        <span class="k">return</span> <span class="n">m</span><span class="p">,</span> <span class="n">new_state</span></div>
+</div>
+
 
 
 <span class="k">class</span> <span class="nc">_Linear</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
@@ -1026,7 +1048,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1050,8 +1072,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
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+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html b/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html
index f8db8d78d..9e841aeb4 100644
--- a/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html
+++ b/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
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@@ -18,54 +17,58 @@
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-    <script src="../../../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/sequential_base_model';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,10 +352,14 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;SequentialBaseModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="SequentialBaseModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel">[docs]</a><span class="k">class</span> <span class="nc">SequentialBaseModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialBaseModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel">[docs]</a>
+<span class="k">class</span> <span class="nc">SequentialBaseModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Base class for sequential models&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SequentialBaseModel.__init__"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialBaseModel.__init__">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initializing the model. Create common logics which are needed by all sequential models, such as loss function,</span>
 <span class="sd">        parameter set.</span>
 
@@ -378,6 +392,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">graph</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">_build_seq_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Subclass will implement this.&quot;&quot;&quot;</span>
@@ -401,7 +416,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
             <span class="bp">self</span><span class="o">.</span><span class="n">_add_norm</span><span class="p">()</span>
             <span class="k">return</span> <span class="n">logit</span>
 
-<div class="viewcode-block" id="SequentialBaseModel.fit"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span>
+<div class="viewcode-block" id="SequentialBaseModel.fit">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train_file</span><span class="p">,</span>
         <span class="n">valid_file</span><span class="p">,</span>
@@ -517,7 +534,10 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
         <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;best epoch: </span><span class="si">{0}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">best_epoch</span><span class="p">))</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="SequentialBaseModel.run_eval"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">,</span> <span class="n">num_ngs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SequentialBaseModel.run_eval">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">,</span> <span class="n">num_ngs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the given file and returns some evaluation metrics.</span>
 
 <span class="sd">        Args:</span>
@@ -552,7 +572,10 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
         <span class="n">res</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">res_pairwise</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span></div>
 
-<div class="viewcode-block" id="SequentialBaseModel.predict"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SequentialBaseModel.predict">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Make predictions on the given data, and output predicted scores to a file.</span>
 
 <span class="sd">        Args:</span>
@@ -575,6 +598,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
                     <span class="n">wt</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
+
     <span class="k">def</span> <span class="nf">_build_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;The field embedding layer. Initialization of embedding variables.&quot;&quot;&quot;</span>
         <span class="n">hparams</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hparams</span>
@@ -673,6 +697,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
         <span class="n">layer_params</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">all_variables</span><span class="p">)</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">embed_variables</span><span class="p">))</span>
         <span class="n">layer_params</span> <span class="o">=</span> <span class="p">[</span><span class="n">a</span> <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">layer_params</span> <span class="k">if</span> <span class="s2">&quot;_no_reg&quot;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">a</span><span class="o">.</span><span class="n">name</span><span class="p">]</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">layer_params</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">layer_params</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -713,7 +738,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -737,8 +762,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html b/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html
index 18dc368ea..13b818c86 100644
--- a/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html
+++ b/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
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-  <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../../../" id="documentation_options" src="../../../../../../_static/documentation_options.js"></script>
-    <script src="../../../../../../_static/jquery.js"></script>
-    <script src="../../../../../../_static/underscore.js"></script>
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-    <script src="../../../../../../_static/copybutton.js"></script>
-    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/sli_rec';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -341,7 +351,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sli_rec</h1><d
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;SLI_RECModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="SLI_RECModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel">[docs]</a><span class="k">class</span> <span class="nc">SLI_RECModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="SLI_RECModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel">[docs]</a>
+<span class="k">class</span> <span class="nc">SLI_RECModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;SLI Rec model</span>
 
 <span class="sd">    :Citation:</span>
@@ -462,6 +474,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sli_rec</h1><d
             <span class="p">)</span>
             <span class="n">output</span> <span class="o">=</span> <span class="n">user_embedding</span> <span class="o">*</span> <span class="n">tf</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">att_weights</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
             <span class="k">return</span> <span class="n">output</span></div>
+
 </pre></div>
 
                 </article>
@@ -502,7 +515,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sli_rec</h1><d
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -526,8 +539,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sli_rec</h1><d
   </div>
   
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diff --git a/_modules/recommenders/models/deeprec/models/sequential/sum.html b/_modules/recommenders/models/deeprec/models/sequential/sum.html
index dcb8e934f..85c04b738 100644
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+++ b/_modules/recommenders/models/deeprec/models/sequential/sum.html
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+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum</h1><div c
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="SUMModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum.SUMModel">[docs]</a><span class="k">class</span> <span class="nc">SUMModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="SUMModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum.SUMModel">[docs]</a>
+<span class="k">class</span> <span class="nc">SUMModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Sequential User Matrix Model</span>
 
 <span class="sd">    :Citation:</span>
@@ -480,6 +492,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum</h1><div c
             <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="s2">&quot;SUM_outputs&quot;</span><span class="p">,</span> <span class="n">rum_outputs</span><span class="p">)</span>
 
         <span class="k">return</span> <span class="n">final_state</span></div>
+
 </pre></div>
 
                 </article>
@@ -520,7 +533,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum</h1><div c
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -544,8 +557,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum</h1><div c
   </div>
   
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diff --git a/_modules/recommenders/models/deeprec/models/sequential/sum_cells.html b/_modules/recommenders/models/deeprec/models/sequential/sum_cells.html
index 6b1d52dc1..2f33ba57d 100644
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+++ b/_modules/recommenders/models/deeprec/models/sequential/sum_cells.html
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-
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+<html lang="en" data-content_root="../../../../../../" >
 
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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@@ -120,13 +122,10 @@
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 </form></div>
   </div>
-
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+    </header>
   
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@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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@@ -347,7 +357,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
 <span class="n">_WEIGHTS_VARIABLE_NAME</span> <span class="o">=</span> <span class="s2">&quot;kernel&quot;</span>
 
 
-<div class="viewcode-block" id="SUMCell"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell">[docs]</a><span class="k">class</span> <span class="nc">SUMCell</span><span class="p">(</span><span class="n">LayerRNNCell</span><span class="p">):</span>
+<div class="viewcode-block" id="SUMCell">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell">[docs]</a>
+<span class="k">class</span> <span class="nc">SUMCell</span><span class="p">(</span><span class="n">LayerRNNCell</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Cell for Sequential User Matrix&quot;&quot;&quot;</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
@@ -489,7 +501,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">built</span> <span class="o">=</span> <span class="kc">True</span>
 
-<div class="viewcode-block" id="SUMCell.call"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+<div class="viewcode-block" id="SUMCell.call">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;The real operations for SUM cell to process user behaviors.</span>
 
 <span class="sd">        params:</span>
@@ -555,7 +569,10 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
         <span class="n">state</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">state01</span><span class="p">,</span> <span class="n">state02</span><span class="p">,</span> <span class="n">inputs</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">state</span><span class="p">,</span> <span class="n">state</span></div>
 
-<div class="viewcode-block" id="SUMCell.get_config"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config">[docs]</a>    <span class="k">def</span> <span class="nf">get_config</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SUMCell.get_config">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_config</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
             <span class="s2">&quot;num_units&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_num_units</span><span class="p">,</span>
             <span class="s2">&quot;kernel_initializer&quot;</span><span class="p">:</span> <span class="n">initializers</span><span class="o">.</span><span class="n">serialize</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_kernel_initializer</span><span class="p">),</span>
@@ -564,10 +581,14 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
             <span class="s2">&quot;reuse&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_reuse</span><span class="p">,</span>
         <span class="p">}</span>
         <span class="n">base_config</span> <span class="o">=</span> <span class="nb">super</span><span class="p">(</span><span class="n">SUMCell</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">get_config</span><span class="p">()</span>
-        <span class="k">return</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">base_config</span><span class="o">.</span><span class="n">items</span><span class="p">())</span> <span class="o">+</span> <span class="nb">list</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">items</span><span class="p">()))</span></div></div>
+        <span class="k">return</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">base_config</span><span class="o">.</span><span class="n">items</span><span class="p">())</span> <span class="o">+</span> <span class="nb">list</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">items</span><span class="p">()))</span></div>
+</div>
 
 
-<div class="viewcode-block" id="SUMV2Cell"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell">[docs]</a><span class="k">class</span> <span class="nc">SUMV2Cell</span><span class="p">(</span><span class="n">SUMCell</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SUMV2Cell">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell">[docs]</a>
+<span class="k">class</span> <span class="nc">SUMV2Cell</span><span class="p">(</span><span class="n">SUMCell</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;A variant of SUM cell, which upgrades the writing attention&quot;&quot;&quot;</span>
 
     <span class="nd">@tf_utils</span><span class="o">.</span><span class="n">shape_type_conversion</span>
@@ -618,7 +639,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">built</span> <span class="o">=</span> <span class="kc">True</span>
 
-<div class="viewcode-block" id="SUMV2Cell.call"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+<div class="viewcode-block" id="SUMV2Cell.call">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;The real operations for SUMV2 cell to process user behaviors.</span>
 
 <span class="sd">        Args:</span>
@@ -691,7 +714,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
         <span class="n">state02</span> <span class="o">=</span> <span class="n">start_part02</span> <span class="o">*</span> <span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">ones_like</span><span class="p">(</span><span class="n">start_part02</span><span class="p">)</span> <span class="o">-</span> <span class="n">dist</span> <span class="o">*</span> <span class="n">erase</span><span class="p">)</span>
         <span class="n">state02</span> <span class="o">=</span> <span class="n">state02</span> <span class="o">+</span> <span class="n">dist</span> <span class="o">*</span> <span class="n">erase</span> <span class="o">*</span> <span class="n">add</span>
         <span class="n">state</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">state01</span><span class="p">,</span> <span class="n">state02</span><span class="p">,</span> <span class="n">inputs</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">state</span><span class="p">,</span> <span class="n">state</span></div></div>
+        <span class="k">return</span> <span class="n">state</span><span class="p">,</span> <span class="n">state</span></div>
+</div>
+
 
 
 <span class="k">def</span> <span class="nf">_check_rnn_cell_input_dtypes</span><span class="p">(</span><span class="n">inputs</span><span class="p">):</span>
@@ -747,7 +772,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -771,8 +796,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/deeprec/models/xDeepFM.html b/_modules/recommenders/models/deeprec/models/xDeepFM.html
index 9860faced..bc7df1693 100644
--- a/_modules/recommenders/models/deeprec/models/xDeepFM.html
+++ b/_modules/recommenders/models/deeprec/models/xDeepFM.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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@@ -18,54 +17,58 @@
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-<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+<link rel="preload" as="script" href="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/xDeepFM';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/xDeepFM.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
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@@ -338,7 +348,9 @@ <h1>Source code for recommenders.models.deeprec.models.xDeepFM</h1><div class="h
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;XDeepFMModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="XDeepFMModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel">[docs]</a><span class="k">class</span> <span class="nc">XDeepFMModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="XDeepFMModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel">[docs]</a>
+<span class="k">class</span> <span class="nc">XDeepFMModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;xDeepFM model</span>
 
 <span class="sd">    :Citation:</span>
@@ -860,6 +872,7 @@ <h1>Source code for recommenders.models.deeprec.models.xDeepFM</h1><div class="h
                 <span class="n">hidden_nn_layers</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">w_nn_output</span><span class="p">,</span> <span class="n">b_nn_output</span>
             <span class="p">)</span>
             <span class="k">return</span> <span class="n">nn_output</span></div>
+
 </pre></div>
 
                 </article>
@@ -900,7 +913,7 @@ <h1>Source code for recommenders.models.deeprec.models.xDeepFM</h1><div class="h
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
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@@ -924,8 +937,8 @@ <h1>Source code for recommenders.models.deeprec.models.xDeepFM</h1><div class="h
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diff --git a/_modules/recommenders/models/fastai/fastai_utils.html b/_modules/recommenders/models/fastai/fastai_utils.html
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
 <span class="kn">from</span> <span class="nn">recommenders.utils</span> <span class="kn">import</span> <span class="n">constants</span> <span class="k">as</span> <span class="n">cc</span>
 
 
-<div class="viewcode-block" id="cartesian_product"><a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.cartesian_product">[docs]</a><span class="k">def</span> <span class="nf">cartesian_product</span><span class="p">(</span><span class="o">*</span><span class="n">arrays</span><span class="p">):</span>
+<div class="viewcode-block" id="cartesian_product">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.cartesian_product">[docs]</a>
+<span class="k">def</span> <span class="nf">cartesian_product</span><span class="p">(</span><span class="o">*</span><span class="n">arrays</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Compute the Cartesian product in fastai algo. This is a helper function.</span>
 
 <span class="sd">    Args:</span>
@@ -357,7 +369,10 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
     <span class="k">return</span> <span class="n">arr</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">la</span><span class="p">)</span></div>
 
 
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+
+<div class="viewcode-block" id="score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.score">[docs]</a>
+<span class="k">def</span> <span class="nf">score</span><span class="p">(</span>
     <span class="n">learner</span><span class="p">,</span>
     <span class="n">test_df</span><span class="p">,</span>
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@@ -400,7 +415,10 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
     <span class="k">return</span> <span class="n">top_scores</span></div>
 
 
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+
+<div class="viewcode-block" id="hide_fastai_progress_bar">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar">[docs]</a>
+<span class="k">def</span> <span class="nf">hide_fastai_progress_bar</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Hide fastai progress bar&quot;&quot;&quot;</span>
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     <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -449,7 +468,7 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
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+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/lightfm/lightfm_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/lightfm/lightfm_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -336,7 +346,9 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
 <span class="kn">from</span> <span class="nn">lightfm.evaluation</span> <span class="kn">import</span> <span class="n">precision_at_k</span><span class="p">,</span> <span class="n">recall_at_k</span>
 
 
-<div class="viewcode-block" id="model_perf_plots"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.model_perf_plots">[docs]</a><span class="k">def</span> <span class="nf">model_perf_plots</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
+<div class="viewcode-block" id="model_perf_plots">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.model_perf_plots">[docs]</a>
+<span class="k">def</span> <span class="nf">model_perf_plots</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to plot model performance metrics.</span>
 
 <span class="sd">    Args:</span>
@@ -349,7 +361,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="n">g</span> <span class="o">=</span> <span class="n">g</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="n">sns</span><span class="o">.</span><span class="n">scatterplot</span><span class="p">,</span> <span class="s2">&quot;epoch&quot;</span><span class="p">,</span> <span class="s2">&quot;value&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">add_legend</span><span class="p">()</span></div>
 
 
-<div class="viewcode-block" id="compare_metric"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.compare_metric">[docs]</a><span class="k">def</span> <span class="nf">compare_metric</span><span class="p">(</span><span class="n">df_list</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s2">&quot;prec&quot;</span><span class="p">,</span> <span class="n">stage</span><span class="o">=</span><span class="s2">&quot;test&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="compare_metric">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.compare_metric">[docs]</a>
+<span class="k">def</span> <span class="nf">compare_metric</span><span class="p">(</span><span class="n">df_list</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s2">&quot;prec&quot;</span><span class="p">,</span> <span class="n">stage</span><span class="o">=</span><span class="s2">&quot;test&quot;</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to combine and prepare list of dataframes into tidy format.</span>
 
 <span class="sd">    Args:</span>
@@ -373,7 +388,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">output</span></div>
 
 
-<div class="viewcode-block" id="track_model_metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.track_model_metrics">[docs]</a><span class="k">def</span> <span class="nf">track_model_metrics</span><span class="p">(</span>
+
+<div class="viewcode-block" id="track_model_metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.track_model_metrics">[docs]</a>
+<span class="k">def</span> <span class="nf">track_model_metrics</span><span class="p">(</span>
     <span class="n">model</span><span class="p">,</span>
     <span class="n">train_interactions</span><span class="p">,</span>
     <span class="n">test_interactions</span><span class="p">,</span>
@@ -453,7 +471,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">fitting_metrics</span><span class="p">,</span> <span class="n">model</span></div>
 
 
-<div class="viewcode-block" id="similar_users"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.similar_users">[docs]</a><span class="k">def</span> <span class="nf">similar_users</span><span class="p">(</span><span class="n">user_id</span><span class="p">,</span> <span class="n">user_features</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">N</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="similar_users">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.similar_users">[docs]</a>
+<span class="k">def</span> <span class="nf">similar_users</span><span class="p">(</span><span class="n">user_id</span><span class="p">,</span> <span class="n">user_features</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">N</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to return top N similar users based on https://github.com/lyst/lightfm/issues/244#issuecomment-355305681</span>
 
 <span class="sd">     Args:</span>
@@ -480,7 +501,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="similar_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.similar_items">[docs]</a><span class="k">def</span> <span class="nf">similar_items</span><span class="p">(</span><span class="n">item_id</span><span class="p">,</span> <span class="n">item_features</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">N</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="similar_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.similar_items">[docs]</a>
+<span class="k">def</span> <span class="nf">similar_items</span><span class="p">(</span><span class="n">item_id</span><span class="p">,</span> <span class="n">item_features</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">N</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to return top N similar items</span>
 <span class="sd">    based on https://github.com/lyst/lightfm/issues/244#issuecomment-355305681</span>
 
@@ -508,7 +532,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="prepare_test_df"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.prepare_test_df">[docs]</a><span class="k">def</span> <span class="nf">prepare_test_df</span><span class="p">(</span><span class="n">test_idx</span><span class="p">,</span> <span class="n">uids</span><span class="p">,</span> <span class="n">iids</span><span class="p">,</span> <span class="n">uid_map</span><span class="p">,</span> <span class="n">iid_map</span><span class="p">,</span> <span class="n">weights</span><span class="p">):</span>
+
+<div class="viewcode-block" id="prepare_test_df">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.prepare_test_df">[docs]</a>
+<span class="k">def</span> <span class="nf">prepare_test_df</span><span class="p">(</span><span class="n">test_idx</span><span class="p">,</span> <span class="n">uids</span><span class="p">,</span> <span class="n">iids</span><span class="p">,</span> <span class="n">uid_map</span><span class="p">,</span> <span class="n">iid_map</span><span class="p">,</span> <span class="n">weights</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to prepare test df for evaluation</span>
 
 <span class="sd">    Args:</span>
@@ -538,7 +565,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">test_df</span><span class="p">[[</span><span class="s2">&quot;userID&quot;</span><span class="p">,</span> <span class="s2">&quot;itemID&quot;</span><span class="p">,</span> <span class="s2">&quot;rating&quot;</span><span class="p">]]</span></div>
 
 
-<div class="viewcode-block" id="prepare_all_predictions"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions">[docs]</a><span class="k">def</span> <span class="nf">prepare_all_predictions</span><span class="p">(</span>
+
+<div class="viewcode-block" id="prepare_all_predictions">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions">[docs]</a>
+<span class="k">def</span> <span class="nf">prepare_all_predictions</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">uid_map</span><span class="p">,</span>
     <span class="n">iid_map</span><span class="p">,</span>
@@ -591,6 +621,7 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="p">)</span>
 
     <span class="k">return</span> <span class="n">all_predictions</span><span class="p">[[</span><span class="s2">&quot;userID&quot;</span><span class="p">,</span> <span class="s2">&quot;itemID&quot;</span><span class="p">,</span> <span class="s2">&quot;prediction&quot;</span><span class="p">]]</span></div>
+
 </pre></div>
 
                 </article>
@@ -631,7 +662,7 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -655,8 +686,8 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/lightgbm/lightgbm_utils.html b/_modules/recommenders/models/lightgbm/lightgbm_utils.html
index 602dc1468..a33aa98ea 100644
--- a/_modules/recommenders/models/lightgbm/lightgbm_utils.html
+++ b/_modules/recommenders/models/lightgbm/lightgbm_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/lightgbm/lightgbm_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/lightgbm/lightgbm_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
 <span class="kn">import</span> <span class="nn">gc</span>
 
 
-<div class="viewcode-block" id="unpackbits"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.unpackbits">[docs]</a><span class="k">def</span> <span class="nf">unpackbits</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">num_bits</span><span class="p">):</span>
+<div class="viewcode-block" id="unpackbits">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.unpackbits">[docs]</a>
+<span class="k">def</span> <span class="nf">unpackbits</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">num_bits</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Convert a decimal value numpy.ndarray into multi-binary value numpy.ndarray ([1,2]-&gt;[[0,1],[1,0]])</span>
 
 <span class="sd">    Args:</span>
@@ -350,7 +362,10 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
     <span class="k">return</span> <span class="p">(</span><span class="n">x</span> <span class="o">&amp;</span> <span class="n">to_and</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">bool</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">xshape</span> <span class="o">+</span> <span class="p">[</span><span class="n">num_bits</span><span class="p">])</span></div>
 
 
-<div class="viewcode-block" id="NumEncoder"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder">[docs]</a><span class="k">class</span> <span class="nc">NumEncoder</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+
+<div class="viewcode-block" id="NumEncoder">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder">[docs]</a>
+<span class="k">class</span> <span class="nc">NumEncoder</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Encode all the categorical features into numerical ones by sequential label encoding, sequential count encoding,</span>
 <span class="sd">    and binary encoding. Additionally, it also filters the low-frequency categories and fills the missing values.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
@@ -386,7 +401,9 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
         <span class="bp">self</span><span class="o">.</span><span class="n">Max_len</span> <span class="o">=</span> <span class="p">{}</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">samples</span> <span class="o">=</span> <span class="mi">0</span>
 
-<div class="viewcode-block" id="NumEncoder.fit_transform"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform">[docs]</a>    <span class="k">def</span> <span class="nf">fit_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+<div class="viewcode-block" id="NumEncoder.fit_transform">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Input a training set (pandas.DataFrame) and return the converted 2 numpy.ndarray (x,y).</span>
 
 <span class="sd">        Args:</span>
@@ -473,8 +490,11 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
         <span class="n">trn_x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">rows</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">trn_x</span><span class="p">,</span> <span class="n">trn_y</span></div>
 
+
     <span class="c1"># for test dataset</span>
-<div class="viewcode-block" id="NumEncoder.transform"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform">[docs]</a>    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+<div class="viewcode-block" id="NumEncoder.transform">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Input a testing / validation set (pandas.DataFrame) and return the converted 2 numpy.ndarray (x,y).</span>
 
 <span class="sd">        Args:</span>
@@ -532,7 +552,9 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
         <span class="k">del</span> <span class="n">df</span>
         <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
         <span class="n">vld_x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">rows</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">vld_x</span><span class="p">,</span> <span class="n">vld_y</span></div></div>
+        <span class="k">return</span> <span class="n">vld_x</span><span class="p">,</span> <span class="n">vld_y</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -573,7 +595,7 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -597,8 +619,8 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/ncf/dataset.html b/_modules/recommenders/models/ncf/dataset.html
index 58abc945d..6d5e18f3f 100644
--- a/_modules/recommenders/models/ncf/dataset.html
+++ b/_modules/recommenders/models/ncf/dataset.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/ncf/dataset';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/ncf/dataset.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -348,30 +358,46 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="EmptyFileException"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.EmptyFileException">[docs]</a><span class="k">class</span> <span class="nc">EmptyFileException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+<div class="viewcode-block" id="EmptyFileException">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.EmptyFileException">[docs]</a>
+<span class="k">class</span> <span class="nc">EmptyFileException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised if file is empty&quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="MissingFieldsException"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.MissingFieldsException">[docs]</a><span class="k">class</span> <span class="nc">MissingFieldsException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MissingFieldsException">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.MissingFieldsException">[docs]</a>
+<span class="k">class</span> <span class="nc">MissingFieldsException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised if file is missing expected fields&quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="FileNotSortedException"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.FileNotSortedException">[docs]</a><span class="k">class</span> <span class="nc">FileNotSortedException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+
+<div class="viewcode-block" id="FileNotSortedException">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.FileNotSortedException">[docs]</a>
+<span class="k">class</span> <span class="nc">FileNotSortedException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised if file is not sorted correctly&quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="MissingUserException"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.MissingUserException">[docs]</a><span class="k">class</span> <span class="nc">MissingUserException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MissingUserException">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.MissingUserException">[docs]</a>
+<span class="k">class</span> <span class="nc">MissingUserException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised if user is not in file&quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="DataFile"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile">[docs]</a><span class="k">class</span> <span class="nc">DataFile</span><span class="p">:</span>
+
+<div class="viewcode-block" id="DataFile">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile">[docs]</a>
+<span class="k">class</span> <span class="nc">DataFile</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    DataFile class for NCF. Iterator to read data from a csv file.</span>
 <span class="sd">    Data must be sorted by user. Includes utilities for loading user data from</span>
 <span class="sd">    file, formatting it and returning a Pandas dataframe.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="DataFile.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="DataFile.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">,</span> <span class="n">col_user</span><span class="p">,</span> <span class="n">col_item</span><span class="p">,</span> <span class="n">col_rating</span><span class="p">,</span> <span class="n">col_test_batch</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">binary</span><span class="o">=</span><span class="kc">True</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Constructor</span>
@@ -397,6 +423,7 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
         <span class="bp">self</span><span class="o">.</span><span class="n">id2user</span> <span class="o">=</span> <span class="p">{</span><span class="bp">self</span><span class="o">.</span><span class="n">user2id</span><span class="p">[</span><span class="n">k</span><span class="p">]:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">user2id</span><span class="p">}</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">id2item</span> <span class="o">=</span> <span class="p">{</span><span class="bp">self</span><span class="o">.</span><span class="n">item2id</span><span class="p">[</span><span class="n">k</span><span class="p">]:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">item2id</span><span class="p">}</span></div>
 
+
     <span class="nd">@property</span>
     <span class="k">def</span> <span class="nf">users</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">user2id</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
@@ -506,7 +533,9 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
             <span class="bp">self</span><span class="o">.</span><span class="n">batch_indices_range</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">batch_index</span><span class="p">)</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">data_len</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">line_num</span>
 
-<div class="viewcode-block" id="DataFile.load_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile.load_data">[docs]</a>    <span class="k">def</span> <span class="nf">load_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">key</span><span class="p">,</span> <span class="n">by_user</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<div class="viewcode-block" id="DataFile.load_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile.load_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">key</span><span class="p">,</span> <span class="n">by_user</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load data for a specified user or test batch</span>
 
 <span class="sd">        Args:</span>
@@ -536,13 +565,19 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
                 <span class="nb">next</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
             <span class="k">else</span><span class="p">:</span>
                 <span class="k">break</span>
-        <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_records</span><span class="p">(</span><span class="n">records</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_records</span><span class="p">(</span><span class="n">records</span><span class="p">)</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="NegativeSampler"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler">[docs]</a><span class="k">class</span> <span class="nc">NegativeSampler</span><span class="p">:</span>
+<div class="viewcode-block" id="NegativeSampler">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler">[docs]</a>
+<span class="k">class</span> <span class="nc">NegativeSampler</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NegativeSampler class for NCF. Samples a subset of negative items from a given population of items.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NegativeSampler.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="NegativeSampler.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">user</span><span class="p">,</span>
         <span class="n">n_samples</span><span class="p">,</span>
@@ -583,13 +618,17 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
         <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_with_replacement</span><span class="p">:</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">_check_sample_size</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="NegativeSampler.sample"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler.sample">[docs]</a>    <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="NegativeSampler.sample">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler.sample">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Method for sampling uniformly from a population of negative items</span>
 
 <span class="sd">        Returns: list</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sample</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_user_negatives_pool</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="c1"># get list of items user has not interacted with</span>
         <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">item_pool</span><span class="p">)</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">user_positive_item_pool</span><span class="p">)</span>
@@ -626,10 +665,15 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
         <span class="bp">self</span><span class="o">.</span><span class="n">n_samples</span> <span class="o">=</span> <span class="n">k</span></div>
 
 
-<div class="viewcode-block" id="Dataset"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset">[docs]</a><span class="k">class</span> <span class="nc">Dataset</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Dataset">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset">[docs]</a>
+<span class="k">class</span> <span class="nc">Dataset</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Dataset class for NCF&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Dataset.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="Dataset.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train_file</span><span class="p">,</span>
         <span class="n">test_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -718,6 +762,7 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
         <span class="c1"># set random seed</span>
         <span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_create_negative_examples_df</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user</span><span class="p">,</span> <span class="n">user_negative_samples</span><span class="p">):</span>
         <span class="c1"># create dataframe containing negative examples for user assigned zero rating</span>
         <span class="n">n_samples</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">user_negative_samples</span><span class="p">)</span>
@@ -817,7 +862,9 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
             <span class="k">else</span><span class="p">:</span>
                 <span class="k">return</span> <span class="n">batch</span>
 
-<div class="viewcode-block" id="Dataset.train_loader"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.train_loader">[docs]</a>    <span class="k">def</span> <span class="nf">train_loader</span><span class="p">(</span>
+<div class="viewcode-block" id="Dataset.train_loader">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.train_loader">[docs]</a>
+    <span class="k">def</span> <span class="nf">train_loader</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">shuffle_size</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">yield_id</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">write_to</span><span class="o">=</span><span class="kc">None</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
@@ -880,7 +927,10 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
                 <span class="n">shuffle_buffer</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">yield_id</span><span class="p">,</span> <span class="n">write_to</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="Dataset.test_loader"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.test_loader">[docs]</a>    <span class="k">def</span> <span class="nf">test_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">yield_id</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Dataset.test_loader">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.test_loader">[docs]</a>
+    <span class="k">def</span> <span class="nf">test_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">yield_id</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Generator for serving batches of test data for leave-one-out evaluation. Data is loaded from test_file_full.</span>
 
 <span class="sd">        Args:</span>
@@ -898,7 +948,9 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
                 <span class="n">test_batch_data</span> <span class="o">=</span> <span class="n">test_full_datafile</span><span class="o">.</span><span class="n">load_data</span><span class="p">(</span>
                     <span class="n">test_batch_idx</span><span class="p">,</span> <span class="n">by_user</span><span class="o">=</span><span class="kc">False</span>
                 <span class="p">)</span>
-                <span class="k">yield</span> <span class="n">prepare_batch</span><span class="p">(</span><span class="n">test_batch_data</span><span class="p">)</span></div></div>
+                <span class="k">yield</span> <span class="n">prepare_batch</span><span class="p">(</span><span class="n">test_batch_data</span><span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -939,7 +991,7 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -963,8 +1015,8 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/ncf/ncf_singlenode.html b/_modules/recommenders/models/ncf/ncf_singlenode.html
index fe463a0a4..46017d555 100644
--- a/_modules/recommenders/models/ncf/ncf_singlenode.html
+++ b/_modules/recommenders/models/ncf/ncf_singlenode.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
-    <script src="../../../../_static/jquery.js"></script>
-    <script src="../../../../_static/underscore.js"></script>
-    <script src="../../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
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-    <script src="../../../../_static/clipboard.min.js"></script>
-    <script src="../../../../_static/copybutton.js"></script>
-    <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/ncf/ncf_singlenode';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/ncf/ncf_singlenode.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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+        <div class="sidebar-primary-item">
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+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,7 +352,9 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
 <span class="n">MODEL_CHECKPOINT</span> <span class="o">=</span> <span class="s2">&quot;model.ckpt&quot;</span>
 
 
-<div class="viewcode-block" id="NCF"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF">[docs]</a><span class="k">class</span> <span class="nc">NCF</span><span class="p">:</span>
+<div class="viewcode-block" id="NCF">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF">[docs]</a>
+<span class="k">class</span> <span class="nc">NCF</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Neural Collaborative Filtering (NCF) implementation</span>
 
 <span class="sd">    :Citation:</span>
@@ -352,7 +364,9 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
 <span class="sd">        Conferences Steering Committee, 2017. Link: https://www.comp.nus.edu.sg/~xiangnan/papers/ncf.pdf</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NCF.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="NCF.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">n_users</span><span class="p">,</span>
         <span class="n">n_items</span><span class="p">,</span>
@@ -418,6 +432,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
         <span class="c1"># parameters initialization</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span></div>
 
+
     <span class="k">def</span> <span class="nf">_create_model</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
     <span class="p">):</span>
@@ -598,7 +613,9 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
                 <span class="n">learning_rate</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">learning_rate</span>
             <span class="p">)</span><span class="o">.</span><span class="n">minimize</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">loss</span><span class="p">)</span>
 
-<div class="viewcode-block" id="NCF.save"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.save">[docs]</a>    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dir_name</span><span class="p">):</span>
+<div class="viewcode-block" id="NCF.save">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.save">[docs]</a>
+    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dir_name</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Save model parameters in `dir_name`</span>
 
 <span class="sd">        Args:</span>
@@ -611,7 +628,10 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
         <span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>
         <span class="n">saver</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">MODEL_CHECKPOINT</span><span class="p">))</span></div>
 
-<div class="viewcode-block" id="NCF.load"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gmf_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">mlp_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">neumf_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">):</span>
+
+<div class="viewcode-block" id="NCF.load">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.load">[docs]</a>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gmf_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">mlp_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">neumf_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load model parameters for further use.</span>
 
 <span class="sd">        GMF model --&gt; load parameters in `gmf_dir`</span>
@@ -650,6 +670,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
         <span class="k">else</span><span class="p">:</span>
             <span class="k">raise</span> <span class="ne">NotImplementedError</span></div>
 
+
     <span class="k">def</span> <span class="nf">_load_neumf</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gmf_dir</span><span class="p">,</span> <span class="n">mlp_dir</span><span class="p">,</span> <span class="n">alpha</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load gmf and mlp model parameters for further use in NeuMF.</span>
 <span class="sd">        NeuMF model --&gt; load parameters in `gmf_dir` and `mlp_dir`</span>
@@ -694,7 +715,9 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">assign_op</span><span class="p">)</span>
 
-<div class="viewcode-block" id="NCF.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<div class="viewcode-block" id="NCF.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit model with training data</span>
 
 <span class="sd">        Args:</span>
@@ -741,7 +764,10 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
                     <span class="o">%</span> <span class="p">(</span><span class="n">epoch_count</span><span class="p">,</span> <span class="n">train_time</span><span class="p">,</span> <span class="nb">sum</span><span class="p">(</span><span class="n">train_loss</span><span class="p">)</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">train_loss</span><span class="p">))</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="NCF.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_input</span><span class="p">,</span> <span class="n">item_input</span><span class="p">,</span> <span class="n">is_list</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="NCF.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_input</span><span class="p">,</span> <span class="n">item_input</span><span class="p">,</span> <span class="n">is_list</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Predict function of this trained model</span>
 
 <span class="sd">        Args:</span>
@@ -762,6 +788,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
             <span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_predict</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">user_input</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">item_input</span><span class="p">]))</span>
             <span class="k">return</span> <span class="nb">float</span><span class="p">(</span><span class="n">output</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">])</span></div>
 
+
     <span class="k">def</span> <span class="nf">_predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_input</span><span class="p">,</span> <span class="n">item_input</span><span class="p">):</span>
 
         <span class="c1"># index converting</span>
@@ -776,6 +803,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
 
         <span class="c1"># calculate predicted score</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -816,7 +844,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -840,8 +868,8 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/_modules/recommenders/models/newsrec/io/mind_all_iterator.html b/_modules/recommenders/models/newsrec/io/mind_all_iterator.html
index e316c8d78..6f4303693 100644
--- a/_modules/recommenders/models/newsrec/io/mind_all_iterator.html
+++ b/_modules/recommenders/models/newsrec/io/mind_all_iterator.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+  <link rel="preload" as="script" href="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
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 const thebe_selector_input = "pre"
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/io/mind_all_iterator';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;MINDAllIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="MINDAllIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator">[docs]</a><span class="k">class</span> <span class="nc">MINDAllIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDAllIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">MINDAllIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Train data loader for NAML model.</span>
 <span class="sd">    The model require a special type of data format, where each instance contains a label, impresion id, user id,</span>
 <span class="sd">    the candidate news articles and user&#39;s clicked news article. Articles are represented by title words,</span>
@@ -358,7 +370,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
 <span class="sd">        npratio (int): negaive and positive ratio used in negative sampling. -1 means no need of negtive sampling.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="MINDAllIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="MINDAllIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">hparams</span><span class="p">,</span>
         <span class="n">npratio</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
@@ -386,7 +400,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
         <span class="bp">self</span><span class="o">.</span><span class="n">subvert_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_dict</span><span class="p">(</span><span class="n">hparams</span><span class="o">.</span><span class="n">subvertDict_file</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">uid2index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_dict</span><span class="p">(</span><span class="n">hparams</span><span class="o">.</span><span class="n">userDict_file</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.load_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict">[docs]</a>    <span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.load_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load pickled file</span>
 
 <span class="sd">        Args:</span>
@@ -398,7 +415,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
         <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">file_path</span><span class="p">,</span> <span class="s2">&quot;rb&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
             <span class="k">return</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.init_news"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news">[docs]</a>    <span class="k">def</span> <span class="nf">init_news</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.init_news">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_news</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Init news information given news file, such as `news_title_index`, `news_abstract_index`.</span>
 
 <span class="sd">        Args:</span>
@@ -455,7 +475,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
             <span class="k">if</span> <span class="n">subvert</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">subvert_dict</span><span class="p">:</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">news_subvert_index</span><span class="p">[</span><span class="n">news_index</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">subvert_dict</span><span class="p">[</span><span class="n">subvert</span><span class="p">]</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.init_behaviors"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors">[docs]</a>    <span class="k">def</span> <span class="nf">init_behaviors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.init_behaviors">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_behaviors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Init behavior logs given behaviors file.</span>
 
 <span class="sd">        Args:</span>
@@ -488,7 +511,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                 <span class="bp">self</span><span class="o">.</span><span class="n">uindexes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">uindex</span><span class="p">)</span>
                 <span class="n">impr_index</span> <span class="o">+=</span> <span class="mi">1</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one string line into feature values.</span>
 
 <span class="sd">        Args:</span>
@@ -584,7 +610,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                     <span class="n">click_subvert_index</span><span class="p">,</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file.</span>
 
 <span class="sd">        Args:</span>
@@ -673,6 +702,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                     <span class="n">click_subvert_indexes</span> <span class="o">=</span> <span class="p">[]</span>
                     <span class="n">cnt</span> <span class="o">=</span> <span class="mi">0</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -735,7 +765,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
             <span class="s2">&quot;labels&quot;</span><span class="p">:</span> <span class="n">labels</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDAllIterator.load_user_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_user_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDAllIterator.load_user_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_user_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse user data from news file and behavior file.</span>
 
 <span class="sd">        Args:</span>
@@ -785,6 +817,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                 <span class="n">click_vert_indexes</span> <span class="o">=</span> <span class="p">[]</span>
                 <span class="n">click_subvert_indexes</span> <span class="o">=</span> <span class="p">[]</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_user_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">user_indexes</span><span class="p">,</span>
@@ -823,7 +856,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
             <span class="s2">&quot;clicked_subvert_batch&quot;</span><span class="p">:</span> <span class="n">click_subvert_index_batch</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDAllIterator.load_news_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_news_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDAllIterator.load_news_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_news_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse user data from news file.</span>
 
 <span class="sd">        Args:</span>
@@ -864,6 +899,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                 <span class="n">candidate_vert_indexes</span> <span class="o">=</span> <span class="p">[]</span>
                 <span class="n">candidate_subvert_indexes</span> <span class="o">=</span> <span class="p">[]</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_news_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">news_indexes</span><span class="p">,</span>
@@ -903,7 +939,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
             <span class="s2">&quot;candidate_subvert_batch&quot;</span><span class="p">:</span> <span class="n">candidate_subvert_index_batch</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDAllIterator.load_impression_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_impression_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaivors_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDAllIterator.load_impression_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_impression_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaivors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse impression data from behaivors file.</span>
 
 <span class="sd">        Args:</span>
@@ -927,7 +965,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                 <span class="n">impr_news</span><span class="p">,</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">uindexes</span><span class="p">[</span><span class="n">index</span><span class="p">],</span>
                 <span class="n">impr_label</span><span class="p">,</span>
-            <span class="p">)</span></div></div>
+            <span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -968,7 +1008,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -992,8 +1032,8 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/newsrec/io/mind_iterator.html b/_modules/recommenders/models/newsrec/io/mind_iterator.html
index aca856fa6..c9219f759 100644
--- a/_modules/recommenders/models/newsrec/io/mind_iterator.html
+++ b/_modules/recommenders/models/newsrec/io/mind_iterator.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
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@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;MINDIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="MINDIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator">[docs]</a><span class="k">class</span> <span class="nc">MINDIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">MINDIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Train data loader for NAML model.</span>
 <span class="sd">    The model require a special type of data format, where each instance contains a label, impresion id, user id,</span>
 <span class="sd">    the candidate news articles and user&#39;s clicked news article. Articles are represented by title words,</span>
@@ -357,7 +369,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
 <span class="sd">        npratio (int): negaive and positive ratio used in negative sampling. -1 means no need of negtive sampling.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="MINDIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="MINDIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">hparams</span><span class="p">,</span>
         <span class="n">npratio</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
@@ -382,7 +396,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
         <span class="bp">self</span><span class="o">.</span><span class="n">word_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_dict</span><span class="p">(</span><span class="n">hparams</span><span class="o">.</span><span class="n">wordDict_file</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">uid2index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_dict</span><span class="p">(</span><span class="n">hparams</span><span class="o">.</span><span class="n">userDict_file</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDIterator.load_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict">[docs]</a>    <span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.load_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;load pickle file</span>
 
 <span class="sd">        Args:</span>
@@ -394,7 +411,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
         <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">file_path</span><span class="p">,</span> <span class="s2">&quot;rb&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
             <span class="k">return</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDIterator.init_news"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news">[docs]</a>    <span class="k">def</span> <span class="nf">init_news</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.init_news">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_news</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;init news information given news file, such as news_title_index and nid2index.</span>
 <span class="sd">        Args:</span>
 <span class="sd">            news_file: path of news file</span>
@@ -428,7 +448,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                         <span class="n">title</span><span class="p">[</span><span class="n">word_index</span><span class="p">]</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
                     <span class="p">]</span></div>
 
-<div class="viewcode-block" id="MINDIterator.init_behaviors"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors">[docs]</a>    <span class="k">def</span> <span class="nf">init_behaviors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.init_behaviors">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_behaviors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;init behavior logs given behaviors file.</span>
 
 <span class="sd">        Args:</span>
@@ -461,7 +484,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="bp">self</span><span class="o">.</span><span class="n">uindexes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">uindex</span><span class="p">)</span>
                 <span class="n">impr_index</span> <span class="o">+=</span> <span class="mi">1</span></div>
 
-<div class="viewcode-block" id="MINDIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one behavior sample into feature values.</span>
 <span class="sd">        if npratio is larger than 0, return negtive sampled result.</span>
 
@@ -528,7 +554,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                     <span class="n">click_title_index</span><span class="p">,</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from news file and behavior file.</span>
 
 <span class="sd">        Args:</span>
@@ -596,6 +625,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="n">click_title_indexes</span><span class="p">,</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -632,7 +662,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
             <span class="s2">&quot;labels&quot;</span><span class="p">:</span> <span class="n">labels</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDIterator.load_user_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_user_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDIterator.load_user_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_user_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse user data from news file and behavior file.</span>
 
 <span class="sd">        Args:</span>
@@ -678,6 +710,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="n">click_title_indexes</span><span class="p">,</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_user_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">user_indexes</span><span class="p">,</span>
@@ -704,7 +737,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
             <span class="s2">&quot;clicked_title_batch&quot;</span><span class="p">:</span> <span class="n">click_title_index_batch</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDIterator.load_news_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_news_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDIterator.load_news_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_news_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse user data from news file.</span>
 
 <span class="sd">        Args:</span>
@@ -740,6 +775,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="n">candidate_title_indexes</span><span class="p">,</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_news_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">news_indexes</span><span class="p">,</span>
@@ -765,7 +801,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
             <span class="s2">&quot;candidate_title_batch&quot;</span><span class="p">:</span> <span class="n">candidate_title_index_batch</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDIterator.load_impression_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_impression_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaivors_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDIterator.load_impression_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_impression_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaivors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse impression data from behaivors file.</span>
 
 <span class="sd">        Args:</span>
@@ -789,7 +827,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="n">impr_news</span><span class="p">,</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">uindexes</span><span class="p">[</span><span class="n">index</span><span class="p">],</span>
                 <span class="n">impr_label</span><span class="p">,</span>
-            <span class="p">)</span></div></div>
+            <span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -830,7 +870,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -854,8 +894,8 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/newsrec/models/base_model.html b/_modules/recommenders/models/newsrec/models/base_model.html
index 4c61121ba..3f8a06bb1 100644
--- a/_modules/recommenders/models/newsrec/models/base_model.html
+++ b/_modules/recommenders/models/newsrec/models/base_model.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/models/base_model';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -167,7 +166,18 @@
   
   
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 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;BaseModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="BaseModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel">[docs]</a><span class="k">class</span> <span class="nc">BaseModel</span><span class="p">:</span>
+<div class="viewcode-block" id="BaseModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseModel</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Basic class of models</span>
 
 <span class="sd">    Attributes:</span>
@@ -354,7 +366,9 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 <span class="sd">        seed (int): Random seed.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="BaseModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="BaseModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">hparams</span><span class="p">,</span>
         <span class="n">iterator_creator</span><span class="p">,</span>
@@ -404,6 +418,7 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
         <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">loss</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">loss</span><span class="p">,</span> <span class="n">optimizer</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">train_optimizer</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_init_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load pre-trained embeddings as a constant tensor.</span>
 
@@ -475,7 +490,9 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
             <span class="p">)</span>
         <span class="k">return</span> <span class="n">pred</span>
 
-<div class="viewcode-block" id="BaseModel.train"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.train">[docs]</a>    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_batch_data</span><span class="p">):</span>
+<div class="viewcode-block" id="BaseModel.train">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_batch_data</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Go through the optimization step once with training data in feed_dict.</span>
 
 <span class="sd">        Args:</span>
@@ -489,7 +506,10 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
         <span class="n">rslt</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">train_on_batch</span><span class="p">(</span><span class="n">train_input</span><span class="p">,</span> <span class="n">train_label</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">rslt</span></div>
 
-<div class="viewcode-block" id="BaseModel.eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.eval">[docs]</a>    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">eval_batch_data</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">eval_batch_data</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the data in feed_dict with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -506,7 +526,10 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
         <span class="k">return</span> <span class="n">pred_rslt</span><span class="p">,</span> <span class="n">eval_label</span><span class="p">,</span> <span class="n">imp_index</span></div>
 
-<div class="viewcode-block" id="BaseModel.fit"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span>
+
+<div class="viewcode-block" id="BaseModel.fit">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train_news_file</span><span class="p">,</span>
         <span class="n">train_behaviors_file</span><span class="p">,</span>
@@ -609,7 +632,10 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="BaseModel.group_labels"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.group_labels">[docs]</a>    <span class="k">def</span> <span class="nf">group_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">group_keys</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.group_labels">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.group_labels">[docs]</a>
+    <span class="k">def</span> <span class="nf">group_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">group_keys</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Devide labels and preds into several group according to values in group keys.</span>
 
 <span class="sd">        Args:</span>
@@ -642,7 +668,10 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
         <span class="k">return</span> <span class="n">all_keys</span><span class="p">,</span> <span class="n">all_labels</span><span class="p">,</span> <span class="n">all_preds</span></div>
 
-<div class="viewcode-block" id="BaseModel.run_eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_filename</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.run_eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_filename</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the given file and returns some evaluation metrics.</span>
 
 <span class="sd">        Args:</span>
@@ -663,6 +692,7 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
         <span class="n">res</span> <span class="o">=</span> <span class="n">cal_metric</span><span class="p">(</span><span class="n">group_labels</span><span class="p">,</span> <span class="n">group_preds</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hparams</span><span class="o">.</span><span class="n">metrics</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span></div>
 
+
     <span class="k">def</span> <span class="nf">user</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_user_input</span><span class="p">):</span>
         <span class="n">user_input</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_user_feature_from_iter</span><span class="p">(</span><span class="n">batch_user_input</span><span class="p">)</span>
         <span class="n">user_vec</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">userencoder</span><span class="o">.</span><span class="n">predict_on_batch</span><span class="p">(</span><span class="n">user_input</span><span class="p">)</span>
@@ -751,6 +781,7 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
             <span class="n">group_preds</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pred</span><span class="p">)</span>
 
         <span class="k">return</span> <span class="n">group_impr_indexes</span><span class="p">,</span> <span class="n">group_labels</span><span class="p">,</span> <span class="n">group_preds</span></div>
+
 </pre></div>
 
                 </article>
@@ -791,7 +822,7 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -815,8 +846,8 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/_modules/recommenders/models/newsrec/models/layers.html b/_modules/recommenders/models/newsrec/models/layers.html
index 924ca6e50..d9dd4d11a 100644
--- a/_modules/recommenders/models/newsrec/models/layers.html
+++ b/_modules/recommenders/models/newsrec/models/layers.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
   <head>
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@@ -18,54 +17,58 @@
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-<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+  <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
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+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/models/layers';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/newsrec/models/layers.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -335,14 +345,18 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="kn">from</span> <span class="nn">tensorflow.compat.v1.keras</span> <span class="kn">import</span> <span class="n">backend</span> <span class="k">as</span> <span class="n">K</span>
 
 
-<div class="viewcode-block" id="AttLayer2"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2">[docs]</a><span class="k">class</span> <span class="nc">AttLayer2</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="AttLayer2">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2">[docs]</a>
+<span class="k">class</span> <span class="nc">AttLayer2</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Soft alignment attention implement.</span>
 
 <span class="sd">    Attributes:</span>
 <span class="sd">        dim (int): attention hidden dim</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="AttLayer2.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="AttLayer2.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for AttLayer2.</span>
 
 <span class="sd">        Args:</span>
@@ -353,7 +367,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="bp">self</span><span class="o">.</span><span class="n">seed</span> <span class="o">=</span> <span class="n">seed</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">AttLayer2</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AttLayer2.build"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.build">[docs]</a>    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AttLayer2.build">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.build">[docs]</a>
+    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization for variables in AttLayer2</span>
 <span class="sd">        There are there variables in AttLayer2, i.e. W, b and q.</span>
 
@@ -383,7 +400,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="p">)</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">AttLayer2</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">build</span><span class="p">(</span><span class="n">input_shape</span><span class="p">)</span>  <span class="c1"># be sure you call this somewhere!</span></div>
 
-<div class="viewcode-block" id="AttLayer2.call"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AttLayer2.call">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Core implementation of soft attention.</span>
 
 <span class="sd">        Args:</span>
@@ -411,7 +431,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="n">weighted_input</span> <span class="o">=</span> <span class="n">inputs</span> <span class="o">*</span> <span class="n">attention_weight</span>
         <span class="k">return</span> <span class="n">K</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">weighted_input</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AttLayer2.compute_mask"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask">[docs]</a>    <span class="k">def</span> <span class="nf">compute_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">input</span><span class="p">,</span> <span class="n">input_mask</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AttLayer2.compute_mask">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">input</span><span class="p">,</span> <span class="n">input_mask</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compte output mask value.</span>
 
 <span class="sd">        Args:</span>
@@ -423,7 +446,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="kc">None</span></div>
 
-<div class="viewcode-block" id="AttLayer2.compute_output_shape"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape">[docs]</a>    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AttLayer2.compute_output_shape">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute shape of output tensor.</span>
 
 <span class="sd">        Args:</span>
@@ -432,10 +458,14 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="sd">        Returns:</span>
 <span class="sd">            tuple: shape of output tensor.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">input_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span></div></div>
+        <span class="k">return</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">input_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span></div>
+</div>
 
 
-<div class="viewcode-block" id="SelfAttention"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention">[docs]</a><span class="k">class</span> <span class="nc">SelfAttention</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention">[docs]</a>
+<span class="k">class</span> <span class="nc">SelfAttention</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Multi-head self attention implement.</span>
 
 <span class="sd">    Args:</span>
@@ -447,7 +477,9 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="sd">        object: Weighted sum after attention.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SelfAttention.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">multiheads</span><span class="p">,</span> <span class="n">head_dim</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mask_right</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="SelfAttention.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">multiheads</span><span class="p">,</span> <span class="n">head_dim</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mask_right</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for AttLayer2.</span>
 
 <span class="sd">        Args:</span>
@@ -463,7 +495,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="bp">self</span><span class="o">.</span><span class="n">seed</span> <span class="o">=</span> <span class="n">seed</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">SelfAttention</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SelfAttention.compute_output_shape"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape">[docs]</a>    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.compute_output_shape">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute shape of output tensor.</span>
 
 <span class="sd">        Returns:</span>
@@ -472,7 +507,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 
         <span class="k">return</span> <span class="p">(</span><span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_dim</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SelfAttention.build"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.build">[docs]</a>    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.build">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.build">[docs]</a>
+    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization for variables in SelfAttention.</span>
 <span class="sd">        There are three variables in SelfAttention, i.e. WQ, WK ans WV.</span>
 <span class="sd">        WQ is used for linear transformation of query.</span>
@@ -503,7 +541,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="p">)</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">SelfAttention</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">build</span><span class="p">(</span><span class="n">input_shape</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SelfAttention.Mask"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.Mask">[docs]</a>    <span class="k">def</span> <span class="nf">Mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;add&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.Mask">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.Mask">[docs]</a>
+    <span class="k">def</span> <span class="nf">Mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;add&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Mask operation used in multi-head self attention</span>
 
 <span class="sd">        Args:</span>
@@ -528,7 +569,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
             <span class="k">elif</span> <span class="n">mode</span> <span class="o">==</span> <span class="s2">&quot;add&quot;</span><span class="p">:</span>
                 <span class="k">return</span> <span class="n">inputs</span> <span class="o">-</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">mask</span><span class="p">)</span> <span class="o">*</span> <span class="mf">1e12</span></div>
 
-<div class="viewcode-block" id="SelfAttention.call"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">QKVs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.call">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">QKVs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Core logic of multi-head self attention.</span>
 
 <span class="sd">        Args:</span>
@@ -584,7 +628,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="n">O_seq</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">Mask</span><span class="p">(</span><span class="n">O_seq</span><span class="p">,</span> <span class="n">Q_len</span><span class="p">,</span> <span class="s2">&quot;mul&quot;</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">O_seq</span></div>
 
-<div class="viewcode-block" id="SelfAttention.get_config"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.get_config">[docs]</a>    <span class="k">def</span> <span class="nf">get_config</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.get_config">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.get_config">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_config</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;add multiheads, multiheads and mask_right into layer config.</span>
 
 <span class="sd">        Returns:</span>
@@ -598,10 +645,14 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
                 <span class="s2">&quot;mask_right&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_right</span><span class="p">,</span>
             <span class="p">}</span>
         <span class="p">)</span>
-        <span class="k">return</span> <span class="n">config</span></div></div>
+        <span class="k">return</span> <span class="n">config</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="PersonalizedAttentivePooling"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling">[docs]</a><span class="k">def</span> <span class="nf">PersonalizedAttentivePooling</span><span class="p">(</span><span class="n">dim1</span><span class="p">,</span> <span class="n">dim2</span><span class="p">,</span> <span class="n">dim3</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<div class="viewcode-block" id="PersonalizedAttentivePooling">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling">[docs]</a>
+<span class="k">def</span> <span class="nf">PersonalizedAttentivePooling</span><span class="p">(</span><span class="n">dim1</span><span class="p">,</span> <span class="n">dim2</span><span class="p">,</span> <span class="n">dim3</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Soft alignment attention implement.</span>
 
 <span class="sd">    Attributes:</span>
@@ -630,7 +681,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
     <span class="k">return</span> <span class="n">model</span></div>
 
 
-<div class="viewcode-block" id="ComputeMasking"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking">[docs]</a><span class="k">class</span> <span class="nc">ComputeMasking</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ComputeMasking">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking">[docs]</a>
+<span class="k">class</span> <span class="nc">ComputeMasking</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Compute if inputs contains zero value.</span>
 
 <span class="sd">    Returns:</span>
@@ -640,7 +694,9 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">ComputeMasking</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
 
-<div class="viewcode-block" id="ComputeMasking.call"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="ComputeMasking.call">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call method for ComputeMasking.</span>
 
 <span class="sd">        Args:</span>
@@ -652,11 +708,18 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="n">mask</span> <span class="o">=</span> <span class="n">K</span><span class="o">.</span><span class="n">not_equal</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">K</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">K</span><span class="o">.</span><span class="n">floatx</span><span class="p">())</span></div>
 
-<div class="viewcode-block" id="ComputeMasking.compute_output_shape"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape">[docs]</a>    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
-        <span class="k">return</span> <span class="n">input_shape</span></div></div>
+
+<div class="viewcode-block" id="ComputeMasking.compute_output_shape">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">input_shape</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="OverwriteMasking"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking">[docs]</a><span class="k">class</span> <span class="nc">OverwriteMasking</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="OverwriteMasking">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking">[docs]</a>
+<span class="k">class</span> <span class="nc">OverwriteMasking</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Set values at specific positions to zero.</span>
 
 <span class="sd">    Args:</span>
@@ -669,10 +732,15 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">OverwriteMasking</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
 
-<div class="viewcode-block" id="OverwriteMasking.build"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.build">[docs]</a>    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+<div class="viewcode-block" id="OverwriteMasking.build">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.build">[docs]</a>
+    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">OverwriteMasking</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">build</span><span class="p">(</span><span class="n">input_shape</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="OverwriteMasking.call"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="OverwriteMasking.call">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call method for OverwriteMasking.</span>
 
 <span class="sd">        Args:</span>
@@ -683,8 +751,13 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">inputs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">K</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">inputs</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span></div>
 
-<div class="viewcode-block" id="OverwriteMasking.compute_output_shape"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape">[docs]</a>    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
-        <span class="k">return</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span></div></div>
+
+<div class="viewcode-block" id="OverwriteMasking.compute_output_shape">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -725,7 +798,7 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -749,8 +822,8 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
   </div>
   
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-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/newsrec/models/lstur.html b/_modules/recommenders/models/newsrec/models/lstur.html
index b0d7a3457..e3c6d11d4 100644
--- a/_modules/recommenders/models/newsrec/models/lstur.html
+++ b/_modules/recommenders/models/newsrec/models/lstur.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
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+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -120,13 +122,10 @@
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 </form></div>
   </div>
-
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@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;LSTURModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="LSTURModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.lstur.LSTURModel">[docs]</a><span class="k">class</span> <span class="nc">LSTURModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="LSTURModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.lstur.LSTURModel">[docs]</a>
+<span class="k">class</span> <span class="nc">LSTURModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;LSTUR model(Neural News Recommendation with Multi-Head Self-Attention)</span>
 
 <span class="sd">    Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie:</span>
@@ -354,7 +366,9 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
 <span class="sd">        hparam (object): Global hyper-parameters.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LSTURModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.lstur.LSTURModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="LSTURModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.lstur.LSTURModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for LSTUR.</span>
 <span class="sd">        Compared with the BaseModel, LSTUR need word embedding.</span>
 <span class="sd">        After creating word embedding matrix, BaseModel&#39;s __init__ method will be called.</span>
@@ -370,6 +384,7 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_input_label_from_iter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_data</span><span class="p">):</span>
         <span class="n">input_feat</span> <span class="o">=</span> <span class="p">[</span>
             <span class="n">batch_data</span><span class="p">[</span><span class="s2">&quot;user_index_batch&quot;</span><span class="p">],</span>
@@ -538,6 +553,7 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
         <span class="p">)</span>
 
         <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">scorer</span></div>
+
 </pre></div>
 
                 </article>
@@ -578,7 +594,7 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -602,8 +618,8 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/_modules/recommenders/models/newsrec/models/naml.html b/_modules/recommenders/models/newsrec/models/naml.html
index edaf60d73..6bb4af5ad 100644
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+++ b/_modules/recommenders/models/newsrec/models/naml.html
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-
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+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/models/naml';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NAMLModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NAMLModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.naml.NAMLModel">[docs]</a><span class="k">class</span> <span class="nc">NAMLModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="NAMLModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.naml.NAMLModel">[docs]</a>
+<span class="k">class</span> <span class="nc">NAMLModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NAML model(Neural News Recommendation with Attentive Multi-View Learning)</span>
 
 <span class="sd">    Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie,</span>
@@ -351,7 +363,9 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
 <span class="sd">        hparam (object): Global hyper-parameters.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NAMLModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.naml.NAMLModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="NAMLModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.naml.NAMLModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for NAML.</span>
 <span class="sd">        Compared with the BaseModel, NAML need word embedding.</span>
 <span class="sd">        After creating word embedding matrix, BaseModel&#39;s __init__ method will be called.</span>
@@ -367,6 +381,7 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_input_label_from_iter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_data</span><span class="p">):</span>
         <span class="n">input_feat</span> <span class="o">=</span> <span class="p">[</span>
             <span class="n">batch_data</span><span class="p">[</span><span class="s2">&quot;clicked_title_batch&quot;</span><span class="p">],</span>
@@ -722,6 +737,7 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
         <span class="p">)</span>
 
         <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">scorer</span></div>
+
 </pre></div>
 
                 </article>
@@ -762,7 +778,7 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -786,8 +802,8 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
   </div>
   
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   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/newsrec/models/npa.html b/_modules/recommenders/models/newsrec/models/npa.html
index a5f6a807a..6a1949fa8 100644
--- a/_modules/recommenders/models/newsrec/models/npa.html
+++ b/_modules/recommenders/models/newsrec/models/npa.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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+const thebe_selector = ".thebe,.cell"
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+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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 </form></div>
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+ `);
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NPAModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NPAModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.npa.NPAModel">[docs]</a><span class="k">class</span> <span class="nc">NPAModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="NPAModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.npa.NPAModel">[docs]</a>
+<span class="k">class</span> <span class="nc">NPAModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NPA model(Neural News Recommendation with Attentive Multi-View Learning)</span>
 
 <span class="sd">    Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie:</span>
@@ -350,7 +362,9 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
 <span class="sd">        hparam (object): Global hyper-parameters.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NPAModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.npa.NPAModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="NPAModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.npa.NPAModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for MANL.</span>
 <span class="sd">        Compared with the BaseModel, NPA need word embedding.</span>
 <span class="sd">        After creating word embedding matrix, BaseModel&#39;s __init__ method will be called.</span>
@@ -366,6 +380,7 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_input_label_from_iter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_data</span><span class="p">):</span>
         <span class="n">input_feat</span> <span class="o">=</span> <span class="p">[</span>
             <span class="n">batch_data</span><span class="p">[</span><span class="s2">&quot;user_index_batch&quot;</span><span class="p">],</span>
@@ -545,6 +560,7 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
         <span class="p">)</span>
 
         <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">scorer</span></div>
+
 </pre></div>
 
                 </article>
@@ -585,7 +601,7 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -609,8 +625,8 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
   </div>
   
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diff --git a/_modules/recommenders/models/newsrec/models/nrms.html b/_modules/recommenders/models/newsrec/models/nrms.html
index 850a11a33..9043fb7ce 100644
--- a/_modules/recommenders/models/newsrec/models/nrms.html
+++ b/_modules/recommenders/models/newsrec/models/nrms.html
@@ -1,9 +1,8 @@
 
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-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/models/nrms';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/newsrec/models/nrms.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NRMSModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NRMSModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.nrms.NRMSModel">[docs]</a><span class="k">class</span> <span class="nc">NRMSModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="NRMSModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.nrms.NRMSModel">[docs]</a>
+<span class="k">class</span> <span class="nc">NRMSModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NRMS model(Neural News Recommendation with Multi-Head Self-Attention)</span>
 
 <span class="sd">    Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang,and Xing Xie, &quot;Neural News</span>
@@ -352,7 +364,9 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
 <span class="sd">        hparam (object): Global hyper-parameters.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NRMSModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.nrms.NRMSModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="NRMSModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.nrms.NRMSModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">hparams</span><span class="p">,</span>
         <span class="n">iterator_creator</span><span class="p">,</span>
@@ -375,6 +389,7 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
             <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">,</span>
         <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_input_label_from_iter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_data</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;get input and labels for trainning from iterator</span>
 
@@ -519,6 +534,7 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
         <span class="n">scorer</span> <span class="o">=</span> <span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">([</span><span class="n">his_input_title</span><span class="p">,</span> <span class="n">pred_input_title_one</span><span class="p">],</span> <span class="n">pred_one</span><span class="p">)</span>
 
         <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">scorer</span></div>
+
 </pre></div>
 
                 </article>
@@ -559,7 +575,7 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -583,8 +599,8 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/_modules/recommenders/models/newsrec/newsrec_utils.html b/_modules/recommenders/models/newsrec/newsrec_utils.html
index 50049ec76..55a1df9f4 100644
--- a/_modules/recommenders/models/newsrec/newsrec_utils.html
+++ b/_modules/recommenders/models/newsrec/newsrec_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
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 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
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-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/newsrec_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/newsrec/newsrec_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
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     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
 <span class="kn">import</span> <span class="nn">re</span>
 
 
-<div class="viewcode-block" id="check_type"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.check_type">[docs]</a><span class="k">def</span> <span class="nf">check_type</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
+<div class="viewcode-block" id="check_type">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.check_type">[docs]</a>
+<span class="k">def</span> <span class="nf">check_type</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check that the config parameters are the correct type</span>
 
 <span class="sd">    Args:</span>
@@ -407,7 +419,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
             <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Parameters </span><span class="si">{0}</span><span class="s2"> must be bool&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">param</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="check_nn_config"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.check_nn_config">[docs]</a><span class="k">def</span> <span class="nf">check_nn_config</span><span class="p">(</span><span class="n">f_config</span><span class="p">):</span>
+
+<div class="viewcode-block" id="check_nn_config">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.check_nn_config">[docs]</a>
+<span class="k">def</span> <span class="nf">check_nn_config</span><span class="p">(</span><span class="n">f_config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check neural networks configuration.</span>
 
 <span class="sd">    Args:</span>
@@ -532,7 +547,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
     <span class="n">check_type</span><span class="p">(</span><span class="n">f_config</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="create_hparams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.create_hparams">[docs]</a><span class="k">def</span> <span class="nf">create_hparams</span><span class="p">(</span><span class="n">flags</span><span class="p">):</span>
+
+<div class="viewcode-block" id="create_hparams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.create_hparams">[docs]</a>
+<span class="k">def</span> <span class="nf">create_hparams</span><span class="p">(</span><span class="n">flags</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Create the model hyperparameters.</span>
 
 <span class="sd">    Args:</span>
@@ -572,7 +590,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">HParams</span><span class="p">(</span><span class="n">init_dict</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="prepare_hparams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.prepare_hparams">[docs]</a><span class="k">def</span> <span class="nf">prepare_hparams</span><span class="p">(</span><span class="n">yaml_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="prepare_hparams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.prepare_hparams">[docs]</a>
+<span class="k">def</span> <span class="nf">prepare_hparams</span><span class="p">(</span><span class="n">yaml_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Prepare the model hyperparameters and check that all have the correct value.</span>
 
 <span class="sd">    Args:</span>
@@ -593,7 +614,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">create_hparams</span><span class="p">(</span><span class="n">config</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="word_tokenize"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.word_tokenize">[docs]</a><span class="k">def</span> <span class="nf">word_tokenize</span><span class="p">(</span><span class="n">sent</span><span class="p">):</span>
+
+<div class="viewcode-block" id="word_tokenize">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.word_tokenize">[docs]</a>
+<span class="k">def</span> <span class="nf">word_tokenize</span><span class="p">(</span><span class="n">sent</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Split sentence into word list using regex.</span>
 <span class="sd">    Args:</span>
 <span class="sd">        sent (str): Input sentence</span>
@@ -608,7 +632,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
         <span class="k">return</span> <span class="p">[]</span></div>
 
 
-<div class="viewcode-block" id="newsample"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.newsample">[docs]</a><span class="k">def</span> <span class="nf">newsample</span><span class="p">(</span><span class="n">news</span><span class="p">,</span> <span class="n">ratio</span><span class="p">):</span>
+
+<div class="viewcode-block" id="newsample">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.newsample">[docs]</a>
+<span class="k">def</span> <span class="nf">newsample</span><span class="p">(</span><span class="n">news</span><span class="p">,</span> <span class="n">ratio</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Sample ratio samples from news list.</span>
 <span class="sd">    If length of news is less than ratio, pad zeros.</span>
 
@@ -625,7 +652,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
         <span class="k">return</span> <span class="n">random</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">news</span><span class="p">,</span> <span class="n">ratio</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_mind_data_set"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.get_mind_data_set">[docs]</a><span class="k">def</span> <span class="nf">get_mind_data_set</span><span class="p">(</span><span class="nb">type</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_mind_data_set">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.get_mind_data_set">[docs]</a>
+<span class="k">def</span> <span class="nf">get_mind_data_set</span><span class="p">(</span><span class="nb">type</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get MIND dataset address</span>
 
 <span class="sd">    Args:</span>
@@ -659,6 +689,7 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
             <span class="s2">&quot;MINDdemo_dev.zip&quot;</span><span class="p">,</span>
             <span class="s2">&quot;MINDdemo_utils.zip&quot;</span><span class="p">,</span>
         <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -699,7 +730,7 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -723,8 +754,8 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/_modules/recommenders/models/rbm/rbm.html b/_modules/recommenders/models/rbm/rbm.html
index a1cdaf81f..0265dd19a 100644
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+++ b/_modules/recommenders/models/rbm/rbm.html
@@ -1,9 +1,8 @@
 
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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@@ -339,10 +349,14 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 <span class="n">log</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="RBM"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM">[docs]</a><span class="k">class</span> <span class="nc">RBM</span><span class="p">:</span>
+<div class="viewcode-block" id="RBM">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM">[docs]</a>
+<span class="k">class</span> <span class="nc">RBM</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Restricted  Boltzmann Machine&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="RBM.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="RBM.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">possible_ratings</span><span class="p">,</span>
         <span class="n">visible_units</span><span class="p">,</span>
@@ -460,7 +474,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">Session</span><span class="p">(</span><span class="n">config</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">config_gpu</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">init_graph</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.binomial_sampling"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.binomial_sampling">[docs]</a>    <span class="k">def</span> <span class="nf">binomial_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pr</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.binomial_sampling">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.binomial_sampling">[docs]</a>
+    <span class="k">def</span> <span class="nf">binomial_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pr</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Binomial sampling of hidden units activations using a rejection method.</span>
 
 <span class="sd">        Basic mechanics:</span>
@@ -489,7 +506,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">h_sampled</span></div>
 
-<div class="viewcode-block" id="RBM.multinomial_sampling"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.multinomial_sampling">[docs]</a>    <span class="k">def</span> <span class="nf">multinomial_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pr</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.multinomial_sampling">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.multinomial_sampling">[docs]</a>
+    <span class="k">def</span> <span class="nf">multinomial_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pr</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Multinomial Sampling of ratings</span>
 
 <span class="sd">        Basic mechanics:</span>
@@ -527,7 +547,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">v_samp</span></div>
 
-<div class="viewcode-block" id="RBM.multinomial_distribution"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.multinomial_distribution">[docs]</a>    <span class="k">def</span> <span class="nf">multinomial_distribution</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">phi</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.multinomial_distribution">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.multinomial_distribution">[docs]</a>
+    <span class="k">def</span> <span class="nf">multinomial_distribution</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">phi</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Probability that unit v has value l given phi: P(v=l|phi)</span>
 
 <span class="sd">        Args:</span>
@@ -551,7 +574,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="n">prob</span><span class="p">,</span> <span class="n">perm</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span></div>
 
-<div class="viewcode-block" id="RBM.free_energy"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.free_energy">[docs]</a>    <span class="k">def</span> <span class="nf">free_energy</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.free_energy">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.free_energy">[docs]</a>
+    <span class="k">def</span> <span class="nf">free_energy</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Free energy of the visible units given the hidden units. Since the sum is over the hidden units&#39;</span>
 <span class="sd">        states, the functional form of the visible units Free energy is the same as the one for the binary model.</span>
 
@@ -571,13 +597,19 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">F</span></div>
 
-<div class="viewcode-block" id="RBM.placeholder"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.placeholder">[docs]</a>    <span class="k">def</span> <span class="nf">placeholder</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.placeholder">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.placeholder">[docs]</a>
+    <span class="k">def</span> <span class="nf">placeholder</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the placeholders for the visible units&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">vu</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span>
             <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_visible</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float32&quot;</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.init_parameters"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_parameters">[docs]</a>    <span class="k">def</span> <span class="nf">init_parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.init_parameters">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_parameters">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the parameters of the model.</span>
 
 <span class="sd">        This is a single layer model with two biases. So we have a rectangular matrix w_{ij} and</span>
@@ -618,7 +650,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
                 <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float32&quot;</span><span class="p">,</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.sample_hidden_units"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.sample_hidden_units">[docs]</a>    <span class="k">def</span> <span class="nf">sample_hidden_units</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vv</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.sample_hidden_units">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.sample_hidden_units">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample_hidden_units</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vv</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Sampling: In RBM we use Contrastive divergence to sample the parameter space. In order to do that we need</span>
 <span class="sd">        to initialize the two conditional probabilities:</span>
 
@@ -650,7 +685,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">phv</span><span class="p">,</span> <span class="n">h_</span></div>
 
-<div class="viewcode-block" id="RBM.sample_visible_units"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.sample_visible_units">[docs]</a>    <span class="k">def</span> <span class="nf">sample_visible_units</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">h</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.sample_visible_units">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.sample_visible_units">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample_visible_units</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">h</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Sample the visible units given the hiddens. This can be thought of as a Backward pass in a FFN</span>
 <span class="sd">        (negative phase). Each visible unit can take values in [1,rating], while the zero is reserved</span>
 <span class="sd">        for missing data; as such the value of the hidden unit is sampled from a multinomial distribution.</span>
@@ -695,7 +733,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">pvh</span><span class="p">,</span> <span class="n">v_</span></div>
 
-<div class="viewcode-block" id="RBM.gibbs_sampling"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.gibbs_sampling">[docs]</a>    <span class="k">def</span> <span class="nf">gibbs_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.gibbs_sampling">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.gibbs_sampling">[docs]</a>
+    <span class="k">def</span> <span class="nf">gibbs_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Gibbs sampling: Determines an estimate of the model configuration via sampling. In the binary</span>
 <span class="sd">        RBM we need to impose that unseen movies stay as such, i.e. the sampling phase should not modify</span>
 <span class="sd">        the elements where v=0.</span>
@@ -723,7 +764,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
                 <span class="n">_</span><span class="p">,</span> <span class="n">h_k</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_hidden_units</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">v_k</span><span class="p">)</span>
                 <span class="n">_</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">v_k</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_visible_units</span><span class="p">(</span><span class="n">h_k</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.losses"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.losses">[docs]</a>    <span class="k">def</span> <span class="nf">losses</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vv</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.losses">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.losses">[docs]</a>
+    <span class="k">def</span> <span class="nf">losses</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vv</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate contrastive divergence, which is the difference between</span>
 <span class="sd">        the free energy clamped on the data (v) and the model Free energy (v_k).</span>
 
@@ -739,7 +783,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">obj</span></div>
 
-<div class="viewcode-block" id="RBM.gibbs_protocol"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.gibbs_protocol">[docs]</a>    <span class="k">def</span> <span class="nf">gibbs_protocol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.gibbs_protocol">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.gibbs_protocol">[docs]</a>
+    <span class="k">def</span> <span class="nf">gibbs_protocol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Gibbs protocol.</span>
 
 <span class="sd">        Basic mechanics:</span>
@@ -770,7 +817,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
             <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">debug</span><span class="p">:</span>
                 <span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;percentage of epochs covered so far </span><span class="si">%f</span><span class="s2">2&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="n">epoch_percentage</span><span class="p">))</span></div>
 
-<div class="viewcode-block" id="RBM.data_pipeline"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.data_pipeline">[docs]</a>    <span class="k">def</span> <span class="nf">data_pipeline</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.data_pipeline">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.data_pipeline">[docs]</a>
+    <span class="k">def</span> <span class="nf">data_pipeline</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Define the data pipeline&quot;&quot;&quot;</span>
 
         <span class="c1"># placeholder for the batch_size</span>
@@ -789,7 +839,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">iter</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">make_initializable_iterator</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">v</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">iter</span><span class="o">.</span><span class="n">get_next</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="RBM.init_metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_metrics">[docs]</a>    <span class="k">def</span> <span class="nf">init_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.init_metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_metrics">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize metrics&quot;&quot;&quot;</span>
 
         <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">with_metrics</span><span class="p">:</span>  <span class="c1"># if true (default) returns evaluation metrics</span>
@@ -799,7 +852,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
                 <span class="p">)</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.generate_graph"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.generate_graph">[docs]</a>    <span class="k">def</span> <span class="nf">generate_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.generate_graph">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.generate_graph">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call the different RBM modules to generate the computational graph&quot;&quot;&quot;</span>
 
         <span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Creating the computational graph&quot;</span><span class="p">)</span>
@@ -826,7 +882,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
             <span class="n">loss</span><span class="o">=</span><span class="n">obj</span>
         <span class="p">)</span>  <span class="c1"># Instantiate the optimizer</span></div>
 
-<div class="viewcode-block" id="RBM.init_gpu"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_gpu">[docs]</a>    <span class="k">def</span> <span class="nf">init_gpu</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.init_gpu">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_gpu">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_gpu</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Config GPU memory&quot;&quot;&quot;</span>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">config_gpu</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">ConfigProto</span><span class="p">(</span>
@@ -834,7 +893,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">config_gpu</span><span class="o">.</span><span class="n">gpu_options</span><span class="o">.</span><span class="n">allow_growth</span> <span class="o">=</span> <span class="kc">True</span>  <span class="c1"># dynamic memory allocation</span></div>
 
-<div class="viewcode-block" id="RBM.init_training_session"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_training_session">[docs]</a>    <span class="k">def</span> <span class="nf">init_training_session</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xtr</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.init_training_session">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_training_session">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_training_session</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xtr</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the TF session on training data</span>
 
 <span class="sd">        Args:</span>
@@ -848,7 +910,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">tables_initializer</span><span class="p">())</span></div>
 
-<div class="viewcode-block" id="RBM.batch_training"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.batch_training">[docs]</a>    <span class="k">def</span> <span class="nf">batch_training</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">num_minibatches</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.batch_training">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.batch_training">[docs]</a>
+    <span class="k">def</span> <span class="nf">batch_training</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">num_minibatches</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform training over input minibatches. If `self.with_metrics` is False,</span>
 <span class="sd">        no online metrics are evaluated.</span>
 
@@ -875,7 +940,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">epoch_tr_err</span></div>
 
-<div class="viewcode-block" id="RBM.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xtr</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xtr</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit method</span>
 
 <span class="sd">        Training in generative models takes place in two steps:</span>
@@ -918,7 +986,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">rmse_train</span> <span class="o">=</span> <span class="n">rmse_train</span></div>
 
-<div class="viewcode-block" id="RBM.eval_out"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.eval_out">[docs]</a>    <span class="k">def</span> <span class="nf">eval_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.eval_out">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.eval_out">[docs]</a>
+    <span class="k">def</span> <span class="nf">eval_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Implement multinomial sampling from a trained model&quot;&quot;&quot;</span>
 
         <span class="c1"># Sampling</span>
@@ -936,7 +1007,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">v</span><span class="p">,</span> <span class="n">pvh</span></div>
 
-<div class="viewcode-block" id="RBM.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 
 <span class="sd">        Basic mechanics:</span>
@@ -1001,7 +1075,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="RBM.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the inferred ratings. This method is similar to recommend_k_items() with the</span>
 <span class="sd">        exceptions that it returns all the inferred ratings</span>
 
@@ -1027,7 +1104,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">vp</span></div>
 
-<div class="viewcode-block" id="RBM.save"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.save">[docs]</a>    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="o">=</span><span class="s2">&quot;./rbm_model.ckpt&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.save">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.save">[docs]</a>
+    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="o">=</span><span class="s2">&quot;./rbm_model.ckpt&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Save model parameters to `file_path`</span>
 
 <span class="sd">        This function saves the current tensorflow session to a specified path.</span>
@@ -1047,7 +1127,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
         <span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>
         <span class="n">saver</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">file_name</span><span class="p">))</span></div>
 
-<div class="viewcode-block" id="RBM.load"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="o">=</span><span class="s2">&quot;./rbm_model.ckpt&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.load">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.load">[docs]</a>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="o">=</span><span class="s2">&quot;./rbm_model.ckpt&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load model parameters for further use.</span>
 
 <span class="sd">        This function loads a saved tensorflow session.</span>
@@ -1061,7 +1144,9 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="c1"># load pre-trained model</span>
         <span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>
-        <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">file_name</span><span class="p">))</span></div></div>
+        <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">file_name</span><span class="p">))</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -1102,7 +1187,7 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1126,8 +1211,8 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/sar/sar_singlenode.html b/_modules/recommenders/models/sar/sar_singlenode.html
index 5ad9ea31c..b203c200c 100644
--- a/_modules/recommenders/models/sar/sar_singlenode.html
+++ b/_modules/recommenders/models/sar/sar_singlenode.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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@@ -120,13 +122,10 @@
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 </form></div>
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@@ -167,7 +166,18 @@
   
   
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+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -359,7 +369,9 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="SARSingleNode"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode">[docs]</a><span class="k">class</span> <span class="nc">SARSingleNode</span><span class="p">:</span>
+<div class="viewcode-block" id="SARSingleNode">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode">[docs]</a>
+<span class="k">class</span> <span class="nc">SARSingleNode</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Simple Algorithm for Recommendations (SAR) implementation</span>
 
 <span class="sd">    SAR is a fast scalable adaptive algorithm for personalized recommendations based on user transaction history</span>
@@ -368,7 +380,9 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 <span class="sd">    similarity across items, and then 3) combining the estimates to generate a set of recommendations for a given user.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SARSingleNode.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="SARSingleNode.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">col_user</span><span class="o">=</span><span class="n">constants</span><span class="o">.</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
         <span class="n">col_item</span><span class="o">=</span><span class="n">constants</span><span class="o">.</span><span class="n">DEFAULT_ITEM_COL</span><span class="p">,</span>
@@ -461,7 +475,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="bp">self</span><span class="o">.</span><span class="n">index2item</span> <span class="o">=</span> <span class="kc">None</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">index2user</span> <span class="o">=</span> <span class="kc">None</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.compute_affinity_matrix"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix">[docs]</a>    <span class="k">def</span> <span class="nf">compute_affinity_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">rating_col</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.compute_affinity_matrix">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_affinity_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">rating_col</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Affinity matrix.</span>
 
 <span class="sd">        The user-affinity matrix can be constructed by treating the users and items as</span>
@@ -482,7 +499,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
             <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_users</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_items</span><span class="p">),</span>
         <span class="p">)</span><span class="o">.</span><span class="n">tocsr</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.compute_time_decay"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay">[docs]</a>    <span class="k">def</span> <span class="nf">compute_time_decay</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">decay_column</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.compute_time_decay">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_time_decay</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">decay_column</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute time decay on provided column.</span>
 
 <span class="sd">        Args:</span>
@@ -507,7 +527,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="c1"># group time decayed ratings by user-item and take the sum as the user-item affinity</span>
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">col_user</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">col_item</span><span class="p">])</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.compute_cooccurrence_matrix"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix">[docs]</a>    <span class="k">def</span> <span class="nf">compute_cooccurrence_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.compute_cooccurrence_matrix">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_cooccurrence_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Co-occurrence matrix.</span>
 
 <span class="sd">        The co-occurrence matrix is defined as :math:`C = U^T * U`</span>
@@ -532,7 +555,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 
         <span class="k">return</span> <span class="n">item_cooccurrence</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_rating</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.set_index"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index">[docs]</a>    <span class="k">def</span> <span class="nf">set_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.set_index">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">set_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Generate continuous indices for users and items to reduce memory usage.</span>
 
 <span class="sd">        Args:</span>
@@ -551,7 +577,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="bp">self</span><span class="o">.</span><span class="n">n_users</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">user2index</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">n_items</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">index2item</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Main fit method for SAR.</span>
 
 <span class="sd">        Note:</span>
@@ -650,7 +679,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 
         <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Done training&quot;</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.score">[docs]</a>
+    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Score all items for test users.</span>
 
 <span class="sd">        Args:</span>
@@ -704,7 +736,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 
         <span class="k">return</span> <span class="n">test_scores</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.get_popularity_based_topk"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk">[docs]</a>    <span class="k">def</span> <span class="nf">get_popularity_based_topk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">items</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.get_popularity_based_topk">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_popularity_based_topk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">items</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get top K most frequently occurring items across all users.</span>
 
 <span class="sd">        Args:</span>
@@ -742,7 +777,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
             <span class="p">}</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.get_item_based_topk"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk">[docs]</a>    <span class="k">def</span> <span class="nf">get_item_based_topk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">items</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.get_item_based_topk">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_item_based_topk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">items</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get top K similar items to provided seed items based on similarity metric defined.</span>
 <span class="sd">        This method will take a set of items and use them to recommend the most similar items to that set</span>
 <span class="sd">        based on the similarity matrix fit during training.</span>
@@ -818,7 +856,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="c1"># drop invalid items</span>
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.get_topk_most_similar_users"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users">[docs]</a>    <span class="k">def</span> <span class="nf">get_topk_most_similar_users</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user</span><span class="p">,</span> <span class="n">top_k</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.get_topk_most_similar_users">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_topk_most_similar_users</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user</span><span class="p">,</span> <span class="n">top_k</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Based on user affinity towards items, calculate the most similar users to the given user.</span>
 
 <span class="sd">        Args:</span>
@@ -847,7 +888,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="c1"># drop invalid items</span>
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Recommend top K items for all users which are in the test set</span>
 
 <span class="sd">        Args:</span>
@@ -879,7 +923,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="c1"># drop invalid items</span>
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Output SAR scores for only the users-items pairs which are in the test set</span>
 
 <span class="sd">        Args:</span>
@@ -924,7 +971,9 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
                 <span class="bp">self</span><span class="o">.</span><span class="n">col_prediction</span><span class="p">:</span> <span class="n">test_scores</span><span class="p">[</span><span class="n">user_ids</span><span class="p">,</span> <span class="n">item_ids</span><span class="p">],</span>
             <span class="p">}</span>
         <span class="p">)</span>
-        <span class="k">return</span> <span class="n">df</span></div></div>
+        <span class="k">return</span> <span class="n">df</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -965,7 +1014,7 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -989,8 +1038,8 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/sasrec/model.html b/_modules/recommenders/models/sasrec/model.html
index 877343ab4..3619ccb82 100644
--- a/_modules/recommenders/models/sasrec/model.html
+++ b/_modules/recommenders/models/sasrec/model.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
-    <script src="../../../../_static/jquery.js"></script>
-    <script src="../../../../_static/underscore.js"></script>
-    <script src="../../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../../_static/doctools.js"></script>
-    <script src="../../../../_static/clipboard.min.js"></script>
-    <script src="../../../../_static/copybutton.js"></script>
-    <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/sasrec/model';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/sasrec/model.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,14 +347,18 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 <span class="kn">from</span> <span class="nn">recommenders.utils.timer</span> <span class="kn">import</span> <span class="n">Timer</span>
 
 
-<div class="viewcode-block" id="MultiHeadAttention"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention">[docs]</a><span class="k">class</span> <span class="nc">MultiHeadAttention</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="MultiHeadAttention">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention">[docs]</a>
+<span class="k">class</span> <span class="nc">MultiHeadAttention</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    - Q (query), K (key) and V (value) are split into multiple heads (num_heads)</span>
 <span class="sd">    - each tuple (q, k, v) are fed to scaled_dot_product_attention</span>
 <span class="sd">    - all attention outputs are concatenated</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="MultiHeadAttention.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attention_dim</span><span class="p">,</span> <span class="n">num_heads</span><span class="p">,</span> <span class="n">dropout_rate</span><span class="p">):</span>
+<div class="viewcode-block" id="MultiHeadAttention.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attention_dim</span><span class="p">,</span> <span class="n">num_heads</span><span class="p">,</span> <span class="n">dropout_rate</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize parameters.</span>
 
 <span class="sd">        Args:</span>
@@ -365,7 +379,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="bp">self</span><span class="o">.</span><span class="n">V</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">attention_dim</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dropout_rate</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MultiHeadAttention.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">queries</span><span class="p">,</span> <span class="n">keys</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MultiHeadAttention.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">queries</span><span class="p">,</span> <span class="n">keys</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -444,15 +461,21 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="c1"># Residual connection</span>
         <span class="n">outputs</span> <span class="o">+=</span> <span class="n">queries</span>
 
-        <span class="k">return</span> <span class="n">outputs</span></div></div>
+        <span class="k">return</span> <span class="n">outputs</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="PointWiseFeedForward"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward">[docs]</a><span class="k">class</span> <span class="nc">PointWiseFeedForward</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="PointWiseFeedForward">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward">[docs]</a>
+<span class="k">class</span> <span class="nc">PointWiseFeedForward</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Convolution layers with residual connection</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="PointWiseFeedForward.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">conv_dims</span><span class="p">,</span> <span class="n">dropout_rate</span><span class="p">):</span>
+<div class="viewcode-block" id="PointWiseFeedForward.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">conv_dims</span><span class="p">,</span> <span class="n">dropout_rate</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize parameters.</span>
 
 <span class="sd">        Args:</span>
@@ -470,7 +493,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">dropout_layer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dropout_rate</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="PointWiseFeedForward.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+
+<div class="viewcode-block" id="PointWiseFeedForward.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -489,16 +515,22 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="c1"># Residual connection</span>
         <span class="n">output</span> <span class="o">+=</span> <span class="n">x</span>
 
-        <span class="k">return</span> <span class="n">output</span></div></div>
+        <span class="k">return</span> <span class="n">output</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="EncoderLayer"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer">[docs]</a><span class="k">class</span> <span class="nc">EncoderLayer</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="EncoderLayer">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer">[docs]</a>
+<span class="k">class</span> <span class="nc">EncoderLayer</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Transformer based encoder layer</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="EncoderLayer.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="EncoderLayer.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">seq_max_len</span><span class="p">,</span>
         <span class="n">embedding_dim</span><span class="p">,</span>
@@ -535,7 +567,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
             <span class="bp">self</span><span class="o">.</span><span class="n">seq_max_len</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">embedding_dim</span><span class="p">,</span> <span class="mf">1e-08</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="EncoderLayer.call_"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.call_">[docs]</a>    <span class="k">def</span> <span class="nf">call_</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
+
+<div class="viewcode-block" id="EncoderLayer.call_">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.call_">[docs]</a>
+    <span class="k">def</span> <span class="nf">call_</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -563,7 +598,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">out2</span></div>
 
-<div class="viewcode-block" id="EncoderLayer.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
+
+<div class="viewcode-block" id="EncoderLayer.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -580,16 +618,22 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="n">attn_output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ffn</span><span class="p">(</span><span class="n">attn_output</span><span class="p">)</span>
         <span class="n">out</span> <span class="o">=</span> <span class="n">attn_output</span> <span class="o">*</span> <span class="n">mask</span>
 
-        <span class="k">return</span> <span class="n">out</span></div></div>
+        <span class="k">return</span> <span class="n">out</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="Encoder"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder">[docs]</a><span class="k">class</span> <span class="nc">Encoder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="Encoder">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder">[docs]</a>
+<span class="k">class</span> <span class="nc">Encoder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Invokes Transformer based encoder with user defined number of layers</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Encoder.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="Encoder.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">num_layers</span><span class="p">,</span>
         <span class="n">seq_max_len</span><span class="p">,</span>
@@ -628,7 +672,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">dropout_rate</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Encoder.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Encoder.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -643,16 +690,22 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">num_layers</span><span class="p">):</span>
             <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">enc_layers</span><span class="p">[</span><span class="n">i</span><span class="p">](</span><span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">)</span>
 
-        <span class="k">return</span> <span class="n">x</span>  <span class="c1"># (batch_size, input_seq_len, d_model)</span></div></div>
+        <span class="k">return</span> <span class="n">x</span>  <span class="c1"># (batch_size, input_seq_len, d_model)</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="LayerNormalization"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization">[docs]</a><span class="k">class</span> <span class="nc">LayerNormalization</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="LayerNormalization">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization">[docs]</a>
+<span class="k">class</span> <span class="nc">LayerNormalization</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Layer normalization using mean and variance</span>
 <span class="sd">    gamma and beta are the learnable parameters</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LayerNormalization.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">seq_max_len</span><span class="p">,</span> <span class="n">embedding_dim</span><span class="p">,</span> <span class="n">epsilon</span><span class="p">):</span>
+<div class="viewcode-block" id="LayerNormalization.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">seq_max_len</span><span class="p">,</span> <span class="n">embedding_dim</span><span class="p">,</span> <span class="n">epsilon</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize parameters.</span>
 
 <span class="sd">        Args:</span>
@@ -676,7 +729,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
             <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="LayerNormalization.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LayerNormalization.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -688,10 +744,14 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="n">mean</span><span class="p">,</span> <span class="n">variance</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">moments</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
         <span class="n">normalized</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">mean</span><span class="p">)</span> <span class="o">/</span> <span class="p">((</span><span class="n">variance</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">epsilon</span><span class="p">)</span> <span class="o">**</span> <span class="mf">0.5</span><span class="p">)</span>
         <span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gamma</span> <span class="o">*</span> <span class="n">normalized</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">beta</span>
-        <span class="k">return</span> <span class="n">output</span></div></div>
+        <span class="k">return</span> <span class="n">output</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="SASREC"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC">[docs]</a><span class="k">class</span> <span class="nc">SASREC</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">):</span>
+<div class="viewcode-block" id="SASREC">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC">[docs]</a>
+<span class="k">class</span> <span class="nc">SASREC</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;SAS Rec model</span>
 <span class="sd">    Self-Attentive Sequential Recommendation Using Transformer</span>
 
@@ -706,7 +766,9 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SASREC.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="SASREC.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model initialization.</span>
 
 <span class="sd">        Args:</span>
@@ -763,7 +825,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
             <span class="bp">self</span><span class="o">.</span><span class="n">seq_max_len</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">embedding_dim</span><span class="p">,</span> <span class="mf">1e-08</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SASREC.embedding"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.embedding">[docs]</a>    <span class="k">def</span> <span class="nf">embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_seq</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.embedding">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.embedding">[docs]</a>
+    <span class="k">def</span> <span class="nf">embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_seq</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute the sequence and positional embeddings.</span>
 
 <span class="sd">        Args:</span>
@@ -785,7 +850,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">seq_embeddings</span><span class="p">,</span> <span class="n">positional_embeddings</span></div>
 
-<div class="viewcode-block" id="SASREC.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -853,7 +921,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span></div>
 
-<div class="viewcode-block" id="SASREC.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the logits for the test items.</span>
 
 <span class="sd">        Args:</span>
@@ -891,7 +962,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="n">test_logits</span> <span class="o">=</span> <span class="n">test_logits</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:]</span>  <span class="c1"># (1, 101)</span>
         <span class="k">return</span> <span class="n">test_logits</span></div>
 
-<div class="viewcode-block" id="SASREC.loss_function"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.loss_function">[docs]</a>    <span class="k">def</span> <span class="nf">loss_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.loss_function">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.loss_function">[docs]</a>
+    <span class="k">def</span> <span class="nf">loss_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Losses are calculated separately for the positive and negative</span>
 <span class="sd">        items based on the corresponding logits. A mask is included to</span>
 <span class="sd">        take care of the zero items (added for padding).</span>
@@ -931,7 +1005,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">loss</span></div>
 
-<div class="viewcode-block" id="SASREC.create_combined_dataset"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.create_combined_dataset">[docs]</a>    <span class="k">def</span> <span class="nf">create_combined_dataset</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">u</span><span class="p">,</span> <span class="n">seq</span><span class="p">,</span> <span class="n">pos</span><span class="p">,</span> <span class="n">neg</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.create_combined_dataset">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.create_combined_dataset">[docs]</a>
+    <span class="k">def</span> <span class="nf">create_combined_dataset</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">u</span><span class="p">,</span> <span class="n">seq</span><span class="p">,</span> <span class="n">pos</span><span class="p">,</span> <span class="n">neg</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        function to create model inputs from sampled batch data.</span>
 <span class="sd">        This function is used only during training.</span>
@@ -962,7 +1039,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="n">target</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">target</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">target</span></div>
 
-<div class="viewcode-block" id="SASREC.train"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.train">[docs]</a>    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">,</span> <span class="n">sampler</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.train">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">,</span> <span class="n">sampler</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        High level function for model training as well as</span>
 <span class="sd">        evaluation on the validation and test dataset</span>
@@ -1049,7 +1129,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">t_test</span></div>
 
-<div class="viewcode-block" id="SASREC.evaluate"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.evaluate">[docs]</a>    <span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.evaluate">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.evaluate">[docs]</a>
+    <span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluation on the test users (users with at least 3 items)</span>
 <span class="sd">        &quot;&quot;&quot;</span>
@@ -1111,7 +1194,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">NDCG</span> <span class="o">/</span> <span class="n">valid_user</span><span class="p">,</span> <span class="n">HT</span> <span class="o">/</span> <span class="n">valid_user</span></div>
 
-<div class="viewcode-block" id="SASREC.evaluate_valid"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.evaluate_valid">[docs]</a>    <span class="k">def</span> <span class="nf">evaluate_valid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.evaluate_valid">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.evaluate_valid">[docs]</a>
+    <span class="k">def</span> <span class="nf">evaluate_valid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluation on the validation users</span>
 <span class="sd">        &quot;&quot;&quot;</span>
@@ -1167,7 +1253,9 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
                 <span class="n">NDCG</span> <span class="o">+=</span> <span class="mi">1</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">log2</span><span class="p">(</span><span class="n">rank</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span>
                 <span class="n">HT</span> <span class="o">+=</span> <span class="mi">1</span>
 
-        <span class="k">return</span> <span class="n">NDCG</span> <span class="o">/</span> <span class="n">valid_user</span><span class="p">,</span> <span class="n">HT</span> <span class="o">/</span> <span class="n">valid_user</span></div></div>
+        <span class="k">return</span> <span class="n">NDCG</span> <span class="o">/</span> <span class="n">valid_user</span><span class="p">,</span> <span class="n">HT</span> <span class="o">/</span> <span class="n">valid_user</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -1208,7 +1296,7 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1232,8 +1320,8 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/sasrec/sampler.html b/_modules/recommenders/models/sasrec/sampler.html
index 3f72e5093..46eab5635 100644
--- a/_modules/recommenders/models/sasrec/sampler.html
+++ b/_modules/recommenders/models/sasrec/sampler.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/sasrec/sampler';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/sasrec/sampler.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,7 +352,9 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
     <span class="k">return</span> <span class="n">t</span>
 
 
-<div class="viewcode-block" id="sample_function"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.sample_function">[docs]</a><span class="k">def</span> <span class="nf">sample_function</span><span class="p">(</span>
+<div class="viewcode-block" id="sample_function">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.sample_function">[docs]</a>
+<span class="k">def</span> <span class="nf">sample_function</span><span class="p">(</span>
     <span class="n">user_train</span><span class="p">,</span> <span class="n">usernum</span><span class="p">,</span> <span class="n">itemnum</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">maxlen</span><span class="p">,</span> <span class="n">result_queue</span><span class="p">,</span> <span class="n">seed</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch sampler that creates a sequence of negative items based on the</span>
@@ -392,7 +404,10 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
         <span class="n">result_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="o">*</span><span class="n">one_batch</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="WarpSampler"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.WarpSampler">[docs]</a><span class="k">class</span> <span class="nc">WarpSampler</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+
+<div class="viewcode-block" id="WarpSampler">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.WarpSampler">[docs]</a>
+<span class="k">class</span> <span class="nc">WarpSampler</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Sampler object that creates an iterator for feeding batch data while training.</span>
 
 <span class="sd">    Attributes:</span>
@@ -404,7 +419,9 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
 <span class="sd">        n_workers (int): number of workers for parallel execution</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="WarpSampler.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.WarpSampler.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">User</span><span class="p">,</span> <span class="n">usernum</span><span class="p">,</span> <span class="n">itemnum</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">maxlen</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">n_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
+<div class="viewcode-block" id="WarpSampler.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.WarpSampler.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">User</span><span class="p">,</span> <span class="n">usernum</span><span class="p">,</span> <span class="n">itemnum</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">maxlen</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">n_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="n">n_workers</span> <span class="o">*</span> <span class="mi">10</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">processors</span> <span class="o">=</span> <span class="p">[]</span>
         <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_workers</span><span class="p">):</span>
@@ -425,6 +442,7 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
             <span class="bp">self</span><span class="o">.</span><span class="n">processors</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">daemon</span> <span class="o">=</span> <span class="kc">True</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">processors</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">next_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
 
@@ -432,6 +450,7 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
         <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">processors</span><span class="p">:</span>
             <span class="n">p</span><span class="o">.</span><span class="n">terminate</span><span class="p">()</span>
             <span class="n">p</span><span class="o">.</span><span class="n">join</span><span class="p">()</span></div>
+
 </pre></div>
 
                 </article>
@@ -472,7 +491,7 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -496,8 +515,8 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/sasrec/ssept.html b/_modules/recommenders/models/sasrec/ssept.html
index d5bce875d..1e1bff8f7 100644
--- a/_modules/recommenders/models/sasrec/ssept.html
+++ b/_modules/recommenders/models/sasrec/ssept.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/sasrec/ssept';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/sasrec/ssept.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -333,7 +343,9 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
 <span class="kn">from</span> <span class="nn">recommenders.models.sasrec.model</span> <span class="kn">import</span> <span class="n">SASREC</span><span class="p">,</span> <span class="n">Encoder</span><span class="p">,</span> <span class="n">LayerNormalization</span>
 
 
-<div class="viewcode-block" id="SSEPT"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT">[docs]</a><span class="k">class</span> <span class="nc">SSEPT</span><span class="p">(</span><span class="n">SASREC</span><span class="p">):</span>
+<div class="viewcode-block" id="SSEPT">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT">[docs]</a>
+<span class="k">class</span> <span class="nc">SSEPT</span><span class="p">(</span><span class="n">SASREC</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    SSE-PT Model</span>
 
@@ -345,7 +357,9 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
 <span class="sd">    TF 2.x codebase (SASREc): https://github.com/nnkkmto/SASRec-tf2</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SSEPT.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="SSEPT.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model initialization.</span>
 
 <span class="sd">        Args:</span>
@@ -403,7 +417,10 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
             <span class="bp">self</span><span class="o">.</span><span class="n">seq_max_len</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_units</span><span class="p">,</span> <span class="mf">1e-08</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SSEPT.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SSEPT.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -495,7 +512,10 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span></div>
 
-<div class="viewcode-block" id="SSEPT.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SSEPT.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Model prediction for candidate (negative) items</span>
 
@@ -548,7 +568,10 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
         <span class="n">test_logits</span> <span class="o">=</span> <span class="n">test_logits</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:]</span>  <span class="c1"># (1, 101)</span>
         <span class="k">return</span> <span class="n">test_logits</span></div>
 
-<div class="viewcode-block" id="SSEPT.loss_function"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.loss_function">[docs]</a>    <span class="k">def</span> <span class="nf">loss_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SSEPT.loss_function">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.loss_function">[docs]</a>
+    <span class="k">def</span> <span class="nf">loss_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Losses are calculated separately for the positive and negative</span>
 <span class="sd">        items based on the corresponding logits. A mask is included to</span>
 <span class="sd">        take care of the zero items (added for padding).</span>
@@ -586,7 +609,9 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
         <span class="c1"># loss += sum(reg_losses)</span>
         <span class="n">loss</span> <span class="o">+=</span> <span class="n">reg_loss</span>
 
-        <span class="k">return</span> <span class="n">loss</span></div></div>
+        <span class="k">return</span> <span class="n">loss</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -627,7 +652,7 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -651,8 +676,8 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/sasrec/util.html b/_modules/recommenders/models/sasrec/util.html
index 24b5117f5..177bc9b1c 100644
--- a/_modules/recommenders/models/sasrec/util.html
+++ b/_modules/recommenders/models/sasrec/util.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/sasrec/util';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/sasrec/util.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -332,7 +342,9 @@ <h1>Source code for recommenders.models.sasrec.util</h1><div class="highlight"><
 <span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">defaultdict</span>
 
 
-<div class="viewcode-block" id="SASRecDataSet"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.util.SASRecDataSet">[docs]</a><span class="k">class</span> <span class="nc">SASRecDataSet</span><span class="p">:</span>
+<div class="viewcode-block" id="SASRecDataSet">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.util.SASRecDataSet">[docs]</a>
+<span class="k">class</span> <span class="nc">SASRecDataSet</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    A class for creating SASRec specific dataset used during</span>
 <span class="sd">    train, validation and testing.</span>
@@ -433,6 +445,7 @@ <h1>Source code for recommenders.models.sasrec.util</h1><div class="highlight"><
                 <span class="bp">self</span><span class="o">.</span><span class="n">user_valid</span><span class="p">[</span><span class="n">user</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">User</span><span class="p">[</span><span class="n">user</span><span class="p">][</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">user_test</span><span class="p">[</span><span class="n">user</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">user_test</span><span class="p">[</span><span class="n">user</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">User</span><span class="p">[</span><span class="n">user</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span></div>
+
 </pre></div>
 
                 </article>
@@ -473,7 +486,7 @@ <h1>Source code for recommenders.models.sasrec.util</h1><div class="highlight"><
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -497,8 +510,8 @@ <h1>Source code for recommenders.models.sasrec.util</h1><div class="highlight"><
   </div>
   
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diff --git a/_modules/recommenders/models/surprise/surprise_utils.html b/_modules/recommenders/models/surprise/surprise_utils.html
index f6e0860e9..16eaec2d7 100644
--- a/_modules/recommenders/models/surprise/surprise_utils.html
+++ b/_modules/recommenders/models/surprise/surprise_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/surprise/surprise_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/surprise/surprise_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
 <span class="kn">from</span> <span class="nn">recommenders.utils.general_utils</span> <span class="kn">import</span> <span class="n">invert_dictionary</span>
 
 
-<div class="viewcode-block" id="surprise_trainset_to_df"><a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df">[docs]</a><span class="k">def</span> <span class="nf">surprise_trainset_to_df</span><span class="p">(</span>
+<div class="viewcode-block" id="surprise_trainset_to_df">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df">[docs]</a>
+<span class="k">def</span> <span class="nf">surprise_trainset_to_df</span><span class="p">(</span>
     <span class="n">trainset</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="s2">&quot;uid&quot;</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="s2">&quot;iid&quot;</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="s2">&quot;rating&quot;</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Converts a `surprise.Trainset` object to `pandas.DataFrame`</span>
@@ -372,7 +384,10 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.predict">[docs]</a><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span>
+
+<div class="viewcode-block" id="predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.predict">[docs]</a>
+<span class="k">def</span> <span class="nf">predict</span><span class="p">(</span>
     <span class="n">algo</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">usercol</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -401,7 +416,10 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
     <span class="k">return</span> <span class="n">predictions</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s2">&quot;details&quot;</span><span class="p">,</span> <span class="s2">&quot;r_ui&quot;</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="s2">&quot;columns&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="compute_ranking_predictions"><a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.compute_ranking_predictions">[docs]</a><span class="k">def</span> <span class="nf">compute_ranking_predictions</span><span class="p">(</span>
+
+<div class="viewcode-block" id="compute_ranking_predictions">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.compute_ranking_predictions">[docs]</a>
+<span class="k">def</span> <span class="nf">compute_ranking_predictions</span><span class="p">(</span>
     <span class="n">algo</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">usercol</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -446,6 +464,7 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
         <span class="k">return</span> <span class="n">merged</span><span class="p">[</span><span class="n">merged</span><span class="p">[</span><span class="s2">&quot;dummycol&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">isnull</span><span class="p">()]</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;dummycol&quot;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="k">return</span> <span class="n">all_predictions</span></div>
+
 </pre></div>
 
                 </article>
@@ -486,7 +505,7 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -510,8 +529,8 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/tfidf/tfidf_utils.html b/_modules/recommenders/models/tfidf/tfidf_utils.html
index 5541e6bd2..be825f056 100644
--- a/_modules/recommenders/models/tfidf/tfidf_utils.html
+++ b/_modules/recommenders/models/tfidf/tfidf_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/tfidf/tfidf_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/tfidf/tfidf_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,7 +352,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 <span class="kn">from</span> <span class="nn">nltk.stem.porter</span> <span class="kn">import</span> <span class="n">PorterStemmer</span>
 
 
-<div class="viewcode-block" id="TfidfRecommender"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender">[docs]</a><span class="k">class</span> <span class="nc">TfidfRecommender</span><span class="p">:</span>
+<div class="viewcode-block" id="TfidfRecommender">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender">[docs]</a>
+<span class="k">class</span> <span class="nc">TfidfRecommender</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Term Frequency - Inverse Document Frequency (TF-IDF) Recommender</span>
 
 <span class="sd">    This class provides content-based recommendations using TF-IDF vectorization in combination with cosine similarity.</span>
@@ -414,7 +426,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="n">clean</span>
 
-<div class="viewcode-block" id="TfidfRecommender.clean_dataframe"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe">[docs]</a>    <span class="k">def</span> <span class="nf">clean_dataframe</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">cols_to_clean</span><span class="p">,</span> <span class="n">new_col_name</span><span class="o">=</span><span class="s2">&quot;cleaned_text&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="TfidfRecommender.clean_dataframe">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe">[docs]</a>
+    <span class="k">def</span> <span class="nf">clean_dataframe</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">cols_to_clean</span><span class="p">,</span> <span class="n">new_col_name</span><span class="o">=</span><span class="s2">&quot;cleaned_text&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Clean the text within the columns of interest and return a dataframe with cleaned and combined text.</span>
 
 <span class="sd">        Args:</span>
@@ -442,7 +456,10 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="n">df</span></div>
 
-<div class="viewcode-block" id="TfidfRecommender.tokenize_text"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text">[docs]</a>    <span class="k">def</span> <span class="nf">tokenize_text</span><span class="p">(</span>
+
+<div class="viewcode-block" id="TfidfRecommender.tokenize_text">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text">[docs]</a>
+    <span class="k">def</span> <span class="nf">tokenize_text</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">df_clean</span><span class="p">,</span> <span class="n">text_col</span><span class="o">=</span><span class="s2">&quot;cleaned_text&quot;</span><span class="p">,</span> <span class="n">ngram_range</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="n">min_df</span><span class="o">=</span><span class="mi">0</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Tokenize the input text.</span>
@@ -526,7 +543,10 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="n">tf</span><span class="p">,</span> <span class="n">vectors_tokenized</span></div>
 
-<div class="viewcode-block" id="TfidfRecommender.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tf</span><span class="p">,</span> <span class="n">vectors_tokenized</span><span class="p">):</span>
+
+<div class="viewcode-block" id="TfidfRecommender.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tf</span><span class="p">,</span> <span class="n">vectors_tokenized</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit TF-IDF vectorizer to the cleaned and tokenized text.</span>
 
 <span class="sd">        Args:</span>
@@ -535,7 +555,10 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">tfidf_matrix</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">vectors_tokenized</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="TfidfRecommender.get_tokens"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens">[docs]</a>    <span class="k">def</span> <span class="nf">get_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="TfidfRecommender.get_tokens">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the tokens generated by the TF-IDF vectorizer.</span>
 
 <span class="sd">        Returns:</span>
@@ -547,7 +570,10 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
             <span class="bp">self</span><span class="o">.</span><span class="n">tokens</span> <span class="o">=</span> <span class="s2">&quot;Run .tokenize_text() and .fit_tfidf() first&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokens</span></div>
 
-<div class="viewcode-block" id="TfidfRecommender.get_stop_words"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words">[docs]</a>    <span class="k">def</span> <span class="nf">get_stop_words</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="TfidfRecommender.get_stop_words">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_stop_words</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the stop words excluded in the TF-IDF vectorizer.</span>
 
 <span class="sd">        Returns:</span>
@@ -559,6 +585,7 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
             <span class="bp">self</span><span class="o">.</span><span class="n">stop_words</span> <span class="o">=</span> <span class="s2">&quot;Run .tokenize_text() and .fit_tfidf() first&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">stop_words</span></div>
 
+
     <span class="k">def</span> <span class="nf">__create_full_recommendation_dictionary</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df_clean</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Create the full recommendation dictionary containing all recommendations for all items.</span>
 
@@ -624,7 +651,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
         <span class="c1"># Convert to dataframe</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">top_k_recommendations</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">output_dict</span><span class="p">)</span>
 
-<div class="viewcode-block" id="TfidfRecommender.recommend_top_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_top_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df_clean</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
+<div class="viewcode-block" id="TfidfRecommender.recommend_top_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_top_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df_clean</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Recommend k number of items similar to the item of interest.</span>
 
 <span class="sd">        Args:</span>
@@ -643,6 +672,7 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">top_k_recommendations</span></div>
 
+
     <span class="k">def</span> <span class="nf">__get_single_item_info</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">metadata</span><span class="p">,</span> <span class="n">rec_id</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get full information for a single recommended item.</span>
 
@@ -667,7 +697,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="s1">&#39;&lt;a href=&quot;</span><span class="si">{0}</span><span class="s1">&quot;&gt;</span><span class="si">{0}</span><span class="s1">&lt;/a&gt;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">address</span><span class="p">)</span>
 
-<div class="viewcode-block" id="TfidfRecommender.get_top_k_recommendations"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations">[docs]</a>    <span class="k">def</span> <span class="nf">get_top_k_recommendations</span><span class="p">(</span>
+<div class="viewcode-block" id="TfidfRecommender.get_top_k_recommendations">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_top_k_recommendations</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">metadata</span><span class="p">,</span> <span class="n">query_id</span><span class="p">,</span> <span class="n">cols_to_keep</span><span class="o">=</span><span class="p">[],</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the top k recommendations with useful metadata for each recommendation.</span>
@@ -722,7 +754,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
         <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
             <span class="n">df</span>
 
-        <span class="k">return</span> <span class="n">df</span></div></div>
+        <span class="k">return</span> <span class="n">df</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -763,7 +797,7 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -787,8 +821,8 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/vae/multinomial_vae.html b/_modules/recommenders/models/vae/multinomial_vae.html
index bbb928452..3b1467f3f 100644
--- a/_modules/recommenders/models/vae/multinomial_vae.html
+++ b/_modules/recommenders/models/vae/multinomial_vae.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
-    <script src="../../../../_static/jquery.js"></script>
-    <script src="../../../../_static/underscore.js"></script>
-    <script src="../../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../../_static/doctools.js"></script>
-    <script src="../../../../_static/clipboard.min.js"></script>
-    <script src="../../../../_static/copybutton.js"></script>
-    <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/vae/multinomial_vae';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/vae/multinomial_vae.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -341,25 +351,38 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 <span class="kn">from</span> <span class="nn">tensorflow.keras.callbacks</span> <span class="kn">import</span> <span class="n">ReduceLROnPlateau</span><span class="p">,</span> <span class="n">Callback</span>
 
 
-<div class="viewcode-block" id="LossHistory"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory">[docs]</a><span class="k">class</span> <span class="nc">LossHistory</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+<div class="viewcode-block" id="LossHistory">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory">[docs]</a>
+<span class="k">class</span> <span class="nc">LossHistory</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;This class is used for saving the validation loss and the training loss per epoch.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LossHistory.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+<div class="viewcode-block" id="LossHistory.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise the lists where the loss of training and validation will be saved.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">losses</span> <span class="o">=</span> <span class="p">[]</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="LossHistory.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="LossHistory.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Save the loss of training and validation set at the end of each epoch.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;loss&quot;</span><span class="p">))</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;val_loss&quot;</span><span class="p">))</span></div></div>
+        <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;val_loss&quot;</span><span class="p">))</span></div>
+</div>
 
 
-<div class="viewcode-block" id="Metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics">[docs]</a><span class="k">class</span> <span class="nc">Metrics</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics">[docs]</a>
+<span class="k">class</span> <span class="nc">Metrics</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Callback function used to calculate the NDCG@k metric of validation set at the end of each epoch.</span>
 <span class="sd">    Weights of the model with the highest NDCG@k value is saved.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Metrics.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">val_tr</span><span class="p">,</span> <span class="n">val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">save_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="Metrics.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">val_tr</span><span class="p">,</span> <span class="n">val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">save_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the class parameters.</span>
 
@@ -390,11 +413,17 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="c1"># Options to save the weights of the model for future use</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">save_path</span> <span class="o">=</span> <span class="n">save_path</span></div>
 
-<div class="viewcode-block" id="Metrics.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="Metrics.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise the list for validation NDCG@k.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="Metrics.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 <span class="sd">        Obtained probabilities are used as recommendation score.</span>
 
@@ -428,7 +457,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="Metrics.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="Metrics.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each epoch calculate NDCG@k of the validation set.</span>
 
 <span class="sd">        If the model performance is improved, the model weights are saved.</span>
@@ -455,17 +487,26 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
         <span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">NDCG</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Metrics.get_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.get_data">[docs]</a>    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics.get_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns a list of the NDCG@k of the validation set metrics calculated</span>
 <span class="sd">        at the end of each epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="AnnealingCallback"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback">[docs]</a><span class="k">class</span> <span class="nc">AnnealingCallback</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+<div class="viewcode-block" id="AnnealingCallback">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback">[docs]</a>
+<span class="k">class</span> <span class="nc">AnnealingCallback</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;This class is used for updating the value of β during the annealing process.</span>
 <span class="sd">    When β reaches the value of anneal_cap, it stops increasing.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="AnnealingCallback.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">anneal_cap</span><span class="p">,</span> <span class="n">total_anneal_steps</span><span class="p">):</span>
+<div class="viewcode-block" id="AnnealingCallback.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">anneal_cap</span><span class="p">,</span> <span class="n">total_anneal_steps</span><span class="p">):</span>
 
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Constructor</span>
 
@@ -486,11 +527,17 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="c1"># total annealing steps</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">total_anneal_steps</span> <span class="o">=</span> <span class="n">total_anneal_steps</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise a list in which the beta value will be saved at the end of each epoch.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_batch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_batch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_batch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_batch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each batch the beta should is updated until it reaches the values of anneal cap.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">update_count</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_count</span> <span class="o">+</span> <span class="mi">1</span>
 
@@ -500,17 +547,27 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
         <span class="n">K</span><span class="o">.</span><span class="n">set_value</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">,</span> <span class="n">new_beta</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each epoch save the value of beta in _beta list.&quot;&quot;&quot;</span>
         <span class="n">tmp</span> <span class="o">=</span> <span class="n">K</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">tmp</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.get_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data">[docs]</a>    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.get_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns a list of the beta values per epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="Mult_VAE"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE">[docs]</a><span class="k">class</span> <span class="nc">Mult_VAE</span><span class="p">:</span>
+<div class="viewcode-block" id="Mult_VAE">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE">[docs]</a>
+<span class="k">class</span> <span class="nc">Mult_VAE</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Multinomial Variational Autoencoders (Multi-VAE) for Collaborative Filtering implementation</span>
 
 <span class="sd">    :Citation:</span>
@@ -520,7 +577,9 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 <span class="sd">        https://arxiv.org/pdf/1802.05814.pdf</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Mult_VAE.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="Mult_VAE.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">n_users</span><span class="p">,</span>
         <span class="n">original_dim</span><span class="p">,</span>
@@ -603,6 +662,7 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="c1"># Create StandardVAE model</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_create_model</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_create_model</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Build and compile model.&quot;&quot;&quot;</span>
         <span class="c1"># Encoding</span>
@@ -692,7 +752,9 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
         <span class="k">return</span> <span class="n">_mean</span> <span class="o">+</span> <span class="n">K</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">_log_var</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">epsilon</span>
 
-<div class="viewcode-block" id="Mult_VAE.nn_batch_generator"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator">[docs]</a>    <span class="k">def</span> <span class="nf">nn_batch_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">):</span>
+<div class="viewcode-block" id="Mult_VAE.nn_batch_generator">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator">[docs]</a>
+    <span class="k">def</span> <span class="nf">nn_batch_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Used for splitting dataset in batches.</span>
 
 <span class="sd">        Args:</span>
@@ -721,7 +783,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
             <span class="k">if</span> <span class="n">counter</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">number_of_batches</span><span class="p">:</span>
                 <span class="n">counter</span> <span class="o">=</span> <span class="mi">0</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">x_val_tr</span><span class="p">,</span> <span class="n">x_val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">x_val_tr</span><span class="p">,</span> <span class="n">x_val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit model with the train sets and validate on the validation set.</span>
 
 <span class="sd">        Args:</span>
@@ -782,7 +847,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="bp">self</span><span class="o">.</span><span class="n">val_loss</span> <span class="o">=</span> <span class="n">history</span><span class="o">.</span><span class="n">val_losses</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span> <span class="o">=</span> <span class="n">metrics</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.get_optimal_beta"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta">[docs]</a>    <span class="k">def</span> <span class="nf">get_optimal_beta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.get_optimal_beta">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_optimal_beta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the value of the optimal beta.&quot;&quot;&quot;</span>
         <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">annealing</span><span class="p">:</span>
             <span class="c1"># find the epoch/index that had the highest NDCG@k value</span>
@@ -793,7 +861,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="k">else</span><span class="p">:</span>
             <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">beta</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.display_metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics">[docs]</a>    <span class="k">def</span> <span class="nf">display_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.display_metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics">[docs]</a>
+    <span class="k">def</span> <span class="nf">display_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Plots:</span>
 <span class="sd">        1) Loss per epoch both for validation and train set</span>
 <span class="sd">        2) NDCG@k per epoch of the validation set</span>
@@ -823,7 +894,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">&quot;TRAINING AND VALIDATION METRICS HISTORY&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
         <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">(</span><span class="n">pad</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 <span class="sd">        Obtained probabilities are used as recommendation score.</span>
 
@@ -853,9 +927,14 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="n">top_scores</span> <span class="o">=</span> <span class="n">score</span> <span class="o">-</span> <span class="n">score_c</span>
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.ndcg_per_epoch"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch">[docs]</a>    <span class="k">def</span> <span class="nf">ndcg_per_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.ndcg_per_epoch">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch">[docs]</a>
+    <span class="k">def</span> <span class="nf">ndcg_per_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the list of NDCG@k at each epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -896,7 +975,7 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -920,8 +999,8 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/vae/standard_vae.html b/_modules/recommenders/models/vae/standard_vae.html
index 3298f6e3d..9d5c16b6c 100644
--- a/_modules/recommenders/models/vae/standard_vae.html
+++ b/_modules/recommenders/models/vae/standard_vae.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
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-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
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-    <script src="../../../../_static/copybutton.js"></script>
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/vae/standard_vae';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/vae/standard_vae.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,25 +352,38 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 <span class="kn">from</span> <span class="nn">recommenders.evaluation.python_evaluation</span> <span class="kn">import</span> <span class="n">ndcg_at_k</span>
 
 
-<div class="viewcode-block" id="LossHistory"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory">[docs]</a><span class="k">class</span> <span class="nc">LossHistory</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+<div class="viewcode-block" id="LossHistory">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory">[docs]</a>
+<span class="k">class</span> <span class="nc">LossHistory</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;This class is used for saving the validation loss and the training loss per epoch.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LossHistory.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+<div class="viewcode-block" id="LossHistory.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise the lists where the loss of training and validation will be saved.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">losses</span> <span class="o">=</span> <span class="p">[]</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="LossHistory.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="LossHistory.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Save the loss of training and validation set at the end of each epoch.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;loss&quot;</span><span class="p">))</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;val_loss&quot;</span><span class="p">))</span></div></div>
+        <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;val_loss&quot;</span><span class="p">))</span></div>
+</div>
 
 
-<div class="viewcode-block" id="Metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics">[docs]</a><span class="k">class</span> <span class="nc">Metrics</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics">[docs]</a>
+<span class="k">class</span> <span class="nc">Metrics</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Callback function used to calculate the NDCG@k metric of validation set at the end of each epoch.</span>
 <span class="sd">    Weights of the model with the highest NDCG@k value is saved.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Metrics.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">val_tr</span><span class="p">,</span> <span class="n">val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">save_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="Metrics.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">val_tr</span><span class="p">,</span> <span class="n">val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">save_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the class parameters.</span>
 
@@ -391,11 +414,17 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="c1"># Options to save the weights of the model for future use</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">save_path</span> <span class="o">=</span> <span class="n">save_path</span></div>
 
-<div class="viewcode-block" id="Metrics.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="Metrics.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise the list for validation NDCG@k.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="Metrics.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 <span class="sd">        Obtained probabilities are used as recommendation score.</span>
 
@@ -429,7 +458,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="Metrics.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="Metrics.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each epoch calculate NDCG@k of the validation set.</span>
 <span class="sd">        If the model performance is improved, the model weights are saved.</span>
 <span class="sd">        Update the list of validation NDCG@k by adding obtained value.</span>
@@ -454,18 +486,27 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">NDCG</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Metrics.get_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.get_data">[docs]</a>    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics.get_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns a list of the NDCG@k of the validation set metrics calculated</span>
 <span class="sd">        at the end of each epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="AnnealingCallback"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback">[docs]</a><span class="k">class</span> <span class="nc">AnnealingCallback</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+<div class="viewcode-block" id="AnnealingCallback">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback">[docs]</a>
+<span class="k">class</span> <span class="nc">AnnealingCallback</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;This class is used for updating the value of β during the annealing process.</span>
 <span class="sd">    When β reaches the value of anneal_cap, it stops increasing.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="AnnealingCallback.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">anneal_cap</span><span class="p">,</span> <span class="n">total_anneal_steps</span><span class="p">):</span>
+<div class="viewcode-block" id="AnnealingCallback.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">anneal_cap</span><span class="p">,</span> <span class="n">total_anneal_steps</span><span class="p">):</span>
 
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Constructor</span>
 
@@ -486,11 +527,17 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="c1"># total annealing steps</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">total_anneal_steps</span> <span class="o">=</span> <span class="n">total_anneal_steps</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise a list in which the beta value will be saved at the end of each epoch.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_batch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_batch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_batch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_batch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each batch the beta should is updated until it reaches the values of anneal cap.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">update_count</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_count</span> <span class="o">+</span> <span class="mi">1</span>
 
@@ -500,20 +547,32 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="n">K</span><span class="o">.</span><span class="n">set_value</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">,</span> <span class="n">new_beta</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each epoch save the value of beta in _beta list.&quot;&quot;&quot;</span>
         <span class="n">tmp</span> <span class="o">=</span> <span class="n">K</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">tmp</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.get_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.get_data">[docs]</a>    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.get_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns a list of the beta values per epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="StandardVAE"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE">[docs]</a><span class="k">class</span> <span class="nc">StandardVAE</span><span class="p">:</span>
+<div class="viewcode-block" id="StandardVAE">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE">[docs]</a>
+<span class="k">class</span> <span class="nc">StandardVAE</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Standard Variational Autoencoders (VAE) for Collaborative Filtering implementation.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="StandardVAE.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="StandardVAE.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">n_users</span><span class="p">,</span>
         <span class="n">original_dim</span><span class="p">,</span>
@@ -594,6 +653,7 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="c1"># Create StandardVAE model</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_create_model</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_create_model</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Build and compile model.&quot;&quot;&quot;</span>
         <span class="c1"># Encoding</span>
@@ -651,7 +711,9 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="k">return</span> <span class="n">_mean</span> <span class="o">+</span> <span class="n">K</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">_log_var</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">epsilon</span>
 
-<div class="viewcode-block" id="StandardVAE.nn_batch_generator"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator">[docs]</a>    <span class="k">def</span> <span class="nf">nn_batch_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">):</span>
+<div class="viewcode-block" id="StandardVAE.nn_batch_generator">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator">[docs]</a>
+    <span class="k">def</span> <span class="nf">nn_batch_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Used for splitting dataset in batches.</span>
 
 <span class="sd">        Args:</span>
@@ -680,7 +742,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
             <span class="k">if</span> <span class="n">counter</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">number_of_batches</span><span class="p">:</span>
                 <span class="n">counter</span> <span class="o">=</span> <span class="mi">0</span></div>
 
-<div class="viewcode-block" id="StandardVAE.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">x_val_tr</span><span class="p">,</span> <span class="n">x_val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">x_val_tr</span><span class="p">,</span> <span class="n">x_val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit model with the train sets and validate on the validation set.</span>
 
 <span class="sd">        Args:</span>
@@ -741,7 +806,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="bp">self</span><span class="o">.</span><span class="n">val_loss</span> <span class="o">=</span> <span class="n">history</span><span class="o">.</span><span class="n">val_losses</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span> <span class="o">=</span> <span class="n">metrics</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="StandardVAE.get_optimal_beta"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta">[docs]</a>    <span class="k">def</span> <span class="nf">get_optimal_beta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.get_optimal_beta">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_optimal_beta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the value of the optimal beta.&quot;&quot;&quot;</span>
         <span class="c1"># find the epoch/index that had the highest NDCG@k value</span>
         <span class="n">index_max_ndcg</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span><span class="p">)</span>
@@ -751,7 +819,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="k">return</span> <span class="n">optimal_beta</span></div>
 
-<div class="viewcode-block" id="StandardVAE.display_metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.display_metrics">[docs]</a>    <span class="k">def</span> <span class="nf">display_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.display_metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.display_metrics">[docs]</a>
+    <span class="k">def</span> <span class="nf">display_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Plots:</span>
 <span class="sd">        1) Loss per epoch both for validation and train sets</span>
 <span class="sd">        2) NDCG@k per epoch of the validation set</span>
@@ -781,7 +852,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">&quot;TRAINING AND VALIDATION METRICS HISTORY&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
         <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">(</span><span class="n">pad</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="StandardVAE.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 
 <span class="sd">        Obtained probabilities are used as recommendation score.</span>
@@ -813,10 +887,15 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="n">top_scores</span> <span class="o">=</span> <span class="n">score</span> <span class="o">-</span> <span class="n">score_c</span>
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="StandardVAE.ndcg_per_epoch"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch">[docs]</a>    <span class="k">def</span> <span class="nf">ndcg_per_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.ndcg_per_epoch">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch">[docs]</a>
+    <span class="k">def</span> <span class="nf">ndcg_per_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the list of NDCG@k at each epoch.&quot;&quot;&quot;</span>
 
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -857,7 +936,7 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -881,8 +960,8 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/models/vowpal_wabbit/vw.html b/_modules/recommenders/models/vowpal_wabbit/vw.html
index 7af3e3dc2..6bd1d4aa8 100644
--- a/_modules/recommenders/models/vowpal_wabbit/vw.html
+++ b/_modules/recommenders/models/vowpal_wabbit/vw.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/vowpal_wabbit/vw';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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 </form></div>
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+    </header>
   
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+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -349,7 +359,9 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="VW"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW">[docs]</a><span class="k">class</span> <span class="nc">VW</span><span class="p">:</span>
+<div class="viewcode-block" id="VW">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW">[docs]</a>
+<span class="k">class</span> <span class="nc">VW</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Vowpal Wabbit Class&quot;&quot;&quot;</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
@@ -389,7 +401,9 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
         <span class="bp">self</span><span class="o">.</span><span class="n">train_cmd</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">parse_train_params</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">kwargs</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">test_cmd</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">parse_test_params</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">kwargs</span><span class="p">)</span>
 
-<div class="viewcode-block" id="VW.to_vw_cmd"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd">[docs]</a>    <span class="nd">@staticmethod</span>
+<div class="viewcode-block" id="VW.to_vw_cmd">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd">[docs]</a>
+    <span class="nd">@staticmethod</span>
     <span class="k">def</span> <span class="nf">to_vw_cmd</span><span class="p">(</span><span class="n">params</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert dictionary of parameters to vw command line.</span>
 
@@ -414,7 +428,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
 
         <span class="k">return</span> <span class="n">cmd</span></div>
 
-<div class="viewcode-block" id="VW.parse_train_params"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params">[docs]</a>    <span class="k">def</span> <span class="nf">parse_train_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.parse_train_params">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params">[docs]</a>
+    <span class="k">def</span> <span class="nf">parse_train_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse input hyper-parameters to build vw train commands</span>
 
 <span class="sd">        Args:</span>
@@ -453,7 +470,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
         <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">to_vw_cmd</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">train_params</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="VW.parse_test_params"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params">[docs]</a>    <span class="k">def</span> <span class="nf">parse_test_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.parse_test_params">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params">[docs]</a>
+    <span class="k">def</span> <span class="nf">parse_test_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse input hyper-parameters to build vw test commands</span>
 
 <span class="sd">        Args:</span>
@@ -514,7 +534,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
         <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">to_vw_cmd</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">test_params</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="VW.to_vw_file"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file">[docs]</a>    <span class="k">def</span> <span class="nf">to_vw_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">train</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.to_vw_file">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">to_vw_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">train</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert Pandas DataFrame to vw input format file</span>
 
 <span class="sd">        Args:</span>
@@ -554,7 +577,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
                     <span class="p">)</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="VW.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Train model</span>
 
 <span class="sd">        Args:</span>
@@ -567,7 +593,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
         <span class="c1"># train model</span>
         <span class="n">run</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">train_cmd</span><span class="p">,</span> <span class="n">check</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="VW.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Predict results</span>
 
 <span class="sd">        Args:</span>
@@ -590,8 +619,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
             <span class="p">)</span>
         <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="fm">__del__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">tempdir</span><span class="o">.</span><span class="n">cleanup</span><span class="p">()</span></div>
+
 </pre></div>
 
                 </article>
@@ -632,7 +663,7 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -656,8 +687,8 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
   </div>
   
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-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/models/wide_deep/wide_deep_utils.html b/_modules/recommenders/models/wide_deep/wide_deep_utils.html
index 4f76014c3..9447a9ebe 100644
--- a/_modules/recommenders/models/wide_deep/wide_deep_utils.html
+++ b/_modules/recommenders/models/wide_deep/wide_deep_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
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+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/wide_deep/wide_deep_utils';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -335,7 +345,9 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
 <span class="kn">from</span> <span class="nn">recommenders.utils.tf_utils</span> <span class="kn">import</span> <span class="n">MODEL_DIR</span>
 
 
-<div class="viewcode-block" id="build_feature_columns"><a class="viewcode-back" href="../../../../models.html#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns">[docs]</a><span class="k">def</span> <span class="nf">build_feature_columns</span><span class="p">(</span>
+<div class="viewcode-block" id="build_feature_columns">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns">[docs]</a>
+<span class="k">def</span> <span class="nf">build_feature_columns</span><span class="p">(</span>
     <span class="n">users</span><span class="p">,</span>
     <span class="n">items</span><span class="p">,</span>
     <span class="n">user_col</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -397,6 +409,7 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
         <span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_build_wide_columns</span><span class="p">(</span><span class="n">user_ids</span><span class="p">,</span> <span class="n">item_ids</span><span class="p">,</span> <span class="n">hash_bucket_size</span><span class="o">=</span><span class="mi">1000</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Build wide feature (crossed) columns. `user_ids` * `item_ids` are hashed into `hash_bucket_size`</span>
 
@@ -454,7 +467,9 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
     <span class="k">return</span> <span class="n">deep_columns</span>
 
 
-<div class="viewcode-block" id="build_model"><a class="viewcode-back" href="../../../../models.html#recommenders.models.wide_deep.wide_deep_utils.build_model">[docs]</a><span class="k">def</span> <span class="nf">build_model</span><span class="p">(</span>
+<div class="viewcode-block" id="build_model">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.wide_deep.wide_deep_utils.build_model">[docs]</a>
+<span class="k">def</span> <span class="nf">build_model</span><span class="p">(</span>
     <span class="n">model_dir</span><span class="o">=</span><span class="n">MODEL_DIR</span><span class="p">,</span>
     <span class="n">wide_columns</span><span class="o">=</span><span class="p">(),</span>
     <span class="n">deep_columns</span><span class="o">=</span><span class="p">(),</span>
@@ -539,6 +554,7 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
         <span class="p">)</span>
 
     <span class="k">return</span> <span class="n">model</span></div>
+
 </pre></div>
 
                 </article>
@@ -579,7 +595,7 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -603,8 +619,8 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/_modules/recommenders/tuning/parameter_sweep.html b/_modules/recommenders/tuning/parameter_sweep.html
index b21021c7a..1a2ebab9c 100644
--- a/_modules/recommenders/tuning/parameter_sweep.html
+++ b/_modules/recommenders/tuning/parameter_sweep.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+
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     <script>let toggleOpenOnPrint = 'true';</script>
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/tuning/parameter_sweep';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/tuning/parameter_sweep.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -334,7 +344,9 @@ <h1>Source code for recommenders.tuning.parameter_sweep</h1><div class="highligh
 <span class="kn">from</span> <span class="nn">itertools</span> <span class="kn">import</span> <span class="n">product</span>
 
 
-<div class="viewcode-block" id="generate_param_grid"><a class="viewcode-back" href="../../../tuning.html#recommenders.tuning.parameter_sweep.generate_param_grid">[docs]</a><span class="k">def</span> <span class="nf">generate_param_grid</span><span class="p">(</span><span class="n">params</span><span class="p">):</span>
+<div class="viewcode-block" id="generate_param_grid">
+<a class="viewcode-back" href="../../../tuning.html#recommenders.tuning.parameter_sweep.generate_param_grid">[docs]</a>
+<span class="k">def</span> <span class="nf">generate_param_grid</span><span class="p">(</span><span class="n">params</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generator of parameter grids.</span>
 <span class="sd">    Generate parameter lists from a parameter dictionary in the form of:</span>
 
@@ -382,6 +394,7 @@ <h1>Source code for recommenders.tuning.parameter_sweep</h1><div class="highligh
         <span class="n">params_exp</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">param_exp</span><span class="p">)</span>
 
     <span class="k">return</span> <span class="n">params_exp</span></div>
+
 </pre></div>
 
                 </article>
@@ -422,7 +435,7 @@ <h1>Source code for recommenders.tuning.parameter_sweep</h1><div class="highligh
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -446,8 +459,8 @@ <h1>Source code for recommenders.tuning.parameter_sweep</h1><div class="highligh
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/utils/general_utils.html b/_modules/recommenders/utils/general_utils.html
index b43e7bcfe..6c749a6b7 100644
--- a/_modules/recommenders/utils/general_utils.html
+++ b/_modules/recommenders/utils/general_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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   <!-- Loaded before other Sphinx assets -->
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+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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 const thebe_selector = ".thebe,.cell"
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-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/general_utils';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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-
   
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
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@@ -167,7 +166,18 @@
   
   
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+ document.write(`
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -333,7 +343,9 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
 <span class="kn">import</span> <span class="nn">psutil</span>
 
 
-<div class="viewcode-block" id="invert_dictionary"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.invert_dictionary">[docs]</a><span class="k">def</span> <span class="nf">invert_dictionary</span><span class="p">(</span><span class="n">dictionary</span><span class="p">):</span>
+<div class="viewcode-block" id="invert_dictionary">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.invert_dictionary">[docs]</a>
+<span class="k">def</span> <span class="nf">invert_dictionary</span><span class="p">(</span><span class="n">dictionary</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Invert a dictionary</span>
 
 <span class="sd">    Note:</span>
@@ -350,7 +362,10 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
     <span class="k">return</span> <span class="p">{</span><span class="n">v</span><span class="p">:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">dictionary</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span></div>
 
 
-<div class="viewcode-block" id="get_physical_memory"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.get_physical_memory">[docs]</a><span class="k">def</span> <span class="nf">get_physical_memory</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_physical_memory">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.get_physical_memory">[docs]</a>
+<span class="k">def</span> <span class="nf">get_physical_memory</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the physical memory in GBs.</span>
 
 <span class="sd">    Returns:</span>
@@ -359,7 +374,10 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
     <span class="k">return</span> <span class="n">psutil</span><span class="o">.</span><span class="n">virtual_memory</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span> <span class="o">/</span> <span class="mi">1073741824</span></div>
 
 
-<div class="viewcode-block" id="get_number_processors"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.get_number_processors">[docs]</a><span class="k">def</span> <span class="nf">get_number_processors</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_number_processors">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.get_number_processors">[docs]</a>
+<span class="k">def</span> <span class="nf">get_number_processors</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the number of processors in a CPU.</span>
 
 <span class="sd">    Returns:</span>
@@ -372,6 +390,7 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
 
         <span class="n">num</span> <span class="o">=</span> <span class="n">multiprocessing</span><span class="o">.</span><span class="n">cpu_count</span><span class="p">()</span>
     <span class="k">return</span> <span class="n">num</span></div>
+
 </pre></div>
 
                 </article>
@@ -412,7 +431,7 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -436,8 +455,8 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
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diff --git a/_modules/recommenders/utils/gpu_utils.html b/_modules/recommenders/utils/gpu_utils.html
index 788dd227a..9a9ed412c 100644
--- a/_modules/recommenders/utils/gpu_utils.html
+++ b/_modules/recommenders/utils/gpu_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+
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+    <script src="../../../_static/doctools.js?v=888ff710"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/gpu_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/gpu_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
 <span class="n">DEFAULT_CUDA_PATH_LINUX</span> <span class="o">=</span> <span class="s2">&quot;/usr/local/cuda/version.txt&quot;</span>
 
 
-<div class="viewcode-block" id="get_number_gpus"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_number_gpus">[docs]</a><span class="k">def</span> <span class="nf">get_number_gpus</span><span class="p">():</span>
+<div class="viewcode-block" id="get_number_gpus">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_number_gpus">[docs]</a>
+<span class="k">def</span> <span class="nf">get_number_gpus</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the number of GPUs in the system.</span>
 <span class="sd">    Returns:</span>
 <span class="sd">        int: Number of GPUs.</span>
@@ -362,7 +374,10 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
         <span class="k">return</span> <span class="mi">0</span></div>
 
 
-<div class="viewcode-block" id="get_gpu_info"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_gpu_info">[docs]</a><span class="k">def</span> <span class="nf">get_gpu_info</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_gpu_info">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_gpu_info">[docs]</a>
+<span class="k">def</span> <span class="nf">get_gpu_info</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get information of GPUs.</span>
 
 <span class="sd">    Returns:</span>
@@ -386,7 +401,10 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">gpus</span></div>
 
 
-<div class="viewcode-block" id="clear_memory_all_gpus"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.clear_memory_all_gpus">[docs]</a><span class="k">def</span> <span class="nf">clear_memory_all_gpus</span><span class="p">():</span>
+
+<div class="viewcode-block" id="clear_memory_all_gpus">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.clear_memory_all_gpus">[docs]</a>
+<span class="k">def</span> <span class="nf">clear_memory_all_gpus</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Clear memory of all GPUs.&quot;&quot;&quot;</span>
     <span class="k">try</span><span class="p">:</span>
         <span class="k">for</span> <span class="n">gpu</span> <span class="ow">in</span> <span class="n">cuda</span><span class="o">.</span><span class="n">gpus</span><span class="p">:</span>
@@ -396,7 +414,10 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
         <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;No CUDA available&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_cuda_version"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_cuda_version">[docs]</a><span class="k">def</span> <span class="nf">get_cuda_version</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_cuda_version">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_cuda_version">[docs]</a>
+<span class="k">def</span> <span class="nf">get_cuda_version</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get CUDA version</span>
 
 <span class="sd">    Returns:</span>
@@ -428,7 +449,10 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
             <span class="k">return</span> <span class="kc">None</span></div>
 
 
-<div class="viewcode-block" id="get_cudnn_version"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_cudnn_version">[docs]</a><span class="k">def</span> <span class="nf">get_cudnn_version</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_cudnn_version">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_cudnn_version">[docs]</a>
+<span class="k">def</span> <span class="nf">get_cudnn_version</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the CuDNN version</span>
 
 <span class="sd">    Returns:</span>
@@ -476,6 +500,7 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
         <span class="k">else</span><span class="p">:</span>
             <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Not in Windows, Linux or Mac&quot;</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">find_cudnn_in_headers</span><span class="p">(</span><span class="n">candidates</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -516,7 +541,7 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -540,8 +565,8 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
   </div>
   
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+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/_modules/recommenders/utils/k8s_utils.html b/_modules/recommenders/utils/k8s_utils.html
index 9a26a8e23..079986d56 100644
--- a/_modules/recommenders/utils/k8s_utils.html
+++ b/_modules/recommenders/utils/k8s_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/k8s_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/k8s_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -335,7 +345,9 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="qps_to_replicas"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.qps_to_replicas">[docs]</a><span class="k">def</span> <span class="nf">qps_to_replicas</span><span class="p">(</span>
+<div class="viewcode-block" id="qps_to_replicas">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.qps_to_replicas">[docs]</a>
+<span class="k">def</span> <span class="nf">qps_to_replicas</span><span class="p">(</span>
     <span class="n">target_qps</span><span class="p">,</span> <span class="n">processing_time</span><span class="p">,</span> <span class="n">max_qp_replica</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">target_utilization</span><span class="o">=</span><span class="mf">0.7</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Provide a rough estimate of the number of replicas to support a given</span>
@@ -361,7 +373,10 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">replicas</span></div>
 
 
-<div class="viewcode-block" id="replicas_to_qps"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.replicas_to_qps">[docs]</a><span class="k">def</span> <span class="nf">replicas_to_qps</span><span class="p">(</span>
+
+<div class="viewcode-block" id="replicas_to_qps">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.replicas_to_qps">[docs]</a>
+<span class="k">def</span> <span class="nf">replicas_to_qps</span><span class="p">(</span>
     <span class="n">num_replicas</span><span class="p">,</span> <span class="n">processing_time</span><span class="p">,</span> <span class="n">max_qp_replica</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">target_utilization</span><span class="o">=</span><span class="mf">0.7</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Provide a rough estimate of the queries per second supported by a number of replicas</span>
@@ -384,7 +399,10 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">qps</span></div>
 
 
-<div class="viewcode-block" id="nodes_to_replicas"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.nodes_to_replicas">[docs]</a><span class="k">def</span> <span class="nf">nodes_to_replicas</span><span class="p">(</span><span class="n">n_cores_per_node</span><span class="p">,</span> <span class="n">n_nodes</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">cpu_cores_per_replica</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
+
+<div class="viewcode-block" id="nodes_to_replicas">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.nodes_to_replicas">[docs]</a>
+<span class="k">def</span> <span class="nf">nodes_to_replicas</span><span class="p">(</span><span class="n">n_cores_per_node</span><span class="p">,</span> <span class="n">n_nodes</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">cpu_cores_per_replica</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Provide a rough estimate of the number of replicas supported by a</span>
 <span class="sd">    given number of nodes with n_cores_per_node cores each</span>
 
@@ -407,6 +425,7 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
         <span class="p">)</span>
     <span class="p">)</span>
     <span class="k">return</span> <span class="n">replicas</span></div>
+
 </pre></div>
 
                 </article>
@@ -447,7 +466,7 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -471,8 +490,8 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
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   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/_modules/recommenders/utils/notebook_memory_management.html b/_modules/recommenders/utils/notebook_memory_management.html
index 29262e395..f4953a715 100644
--- a/_modules/recommenders/utils/notebook_memory_management.html
+++ b/_modules/recommenders/utils/notebook_memory_management.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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+    </header>
   
-  </header>
 
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@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -364,7 +374,9 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
     <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s2">&quot;Not running on notebook&quot;</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="start_watching_memory"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.start_watching_memory">[docs]</a><span class="k">def</span> <span class="nf">start_watching_memory</span><span class="p">():</span>
+<div class="viewcode-block" id="start_watching_memory">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.start_watching_memory">[docs]</a>
+<span class="k">def</span> <span class="nf">start_watching_memory</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Register memory profiling tools to IPython instance.&quot;&quot;&quot;</span>
     <span class="k">global</span> <span class="n">watching_memory</span>
     <span class="n">watching_memory</span> <span class="o">=</span> <span class="kc">True</span>
@@ -373,7 +385,10 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
     <span class="n">ip</span><span class="o">.</span><span class="n">events</span><span class="o">.</span><span class="n">register</span><span class="p">(</span><span class="s2">&quot;pre_run_cell&quot;</span><span class="p">,</span> <span class="n">pre_run_cell</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="stop_watching_memory"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.stop_watching_memory">[docs]</a><span class="k">def</span> <span class="nf">stop_watching_memory</span><span class="p">():</span>
+
+<div class="viewcode-block" id="stop_watching_memory">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.stop_watching_memory">[docs]</a>
+<span class="k">def</span> <span class="nf">stop_watching_memory</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Unregister memory profiling tools from IPython instance.&quot;&quot;&quot;</span>
     <span class="k">global</span> <span class="n">watching_memory</span>
     <span class="n">watching_memory</span> <span class="o">=</span> <span class="kc">False</span>
@@ -390,7 +405,10 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
         <span class="k">pass</span></div>
 
 
-<div class="viewcode-block" id="watch_memory"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.watch_memory">[docs]</a><span class="k">def</span> <span class="nf">watch_memory</span><span class="p">():</span>
+
+<div class="viewcode-block" id="watch_memory">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.watch_memory">[docs]</a>
+<span class="k">def</span> <span class="nf">watch_memory</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Bring in the global memory usage value from the previous iteration&quot;&quot;&quot;</span>
     <span class="k">global</span> <span class="n">previous_call_memory_usage</span><span class="p">,</span> <span class="n">keep_watching</span><span class="p">,</span> <span class="n">watching_memory</span><span class="p">,</span> <span class="n">input_cells</span>
     <span class="n">new_memory_usage</span> <span class="o">=</span> <span class="n">memory_profiler</span><span class="o">.</span><span class="n">memory_usage</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
@@ -420,10 +438,14 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
     <span class="n">previous_call_memory_usage</span> <span class="o">=</span> <span class="n">new_memory_usage</span></div>
 
 
-<div class="viewcode-block" id="pre_run_cell"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.pre_run_cell">[docs]</a><span class="k">def</span> <span class="nf">pre_run_cell</span><span class="p">():</span>
+
+<div class="viewcode-block" id="pre_run_cell">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.pre_run_cell">[docs]</a>
+<span class="k">def</span> <span class="nf">pre_run_cell</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Capture current time before we execute the current command&quot;&quot;&quot;</span>
     <span class="k">global</span> <span class="n">t1</span>
     <span class="n">t1</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span></div>
+
 </pre></div>
 
                 </article>
@@ -464,7 +486,7 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -488,8 +510,8 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/utils/notebook_utils.html b/_modules/recommenders/utils/notebook_utils.html
index 2c076fda9..8189951b0 100644
--- a/_modules/recommenders/utils/notebook_utils.html
+++ b/_modules/recommenders/utils/notebook_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
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@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
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+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/notebook_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/notebook_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
 <span class="n">NOTEBOOK_OUTPUT_CONTENT_TYPE</span> <span class="o">=</span> <span class="s2">&quot;application/notebook_utils.json+json&quot;</span>
 
 
-<div class="viewcode-block" id="is_jupyter"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.is_jupyter">[docs]</a><span class="k">def</span> <span class="nf">is_jupyter</span><span class="p">():</span>
+<div class="viewcode-block" id="is_jupyter">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.is_jupyter">[docs]</a>
+<span class="k">def</span> <span class="nf">is_jupyter</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if the module is running on Jupyter notebook/console.</span>
 
 <span class="sd">    Returns:</span>
@@ -356,7 +368,10 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
         <span class="k">return</span> <span class="kc">False</span></div>
 
 
-<div class="viewcode-block" id="is_databricks"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.is_databricks">[docs]</a><span class="k">def</span> <span class="nf">is_databricks</span><span class="p">():</span>
+
+<div class="viewcode-block" id="is_databricks">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.is_databricks">[docs]</a>
+<span class="k">def</span> <span class="nf">is_databricks</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if the module is running on Databricks.</span>
 
 <span class="sd">    Returns:</span>
@@ -372,6 +387,7 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
         <span class="k">return</span> <span class="kc">False</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_update_parameters</span><span class="p">(</span><span class="n">parameter_cell_source</span><span class="p">,</span> <span class="n">new_parameters</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Replace parameter values in the cell source code.&quot;&quot;&quot;</span>
     <span class="n">modified_cell_source</span> <span class="o">=</span> <span class="n">parameter_cell_source</span>
@@ -391,7 +407,9 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">modified_cell_source</span>
 
 
-<div class="viewcode-block" id="execute_notebook"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.execute_notebook">[docs]</a><span class="k">def</span> <span class="nf">execute_notebook</span><span class="p">(</span>
+<div class="viewcode-block" id="execute_notebook">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.execute_notebook">[docs]</a>
+<span class="k">def</span> <span class="nf">execute_notebook</span><span class="p">(</span>
     <span class="n">input_notebook</span><span class="p">,</span> <span class="n">output_notebook</span><span class="p">,</span> <span class="n">parameters</span><span class="o">=</span><span class="p">{},</span> <span class="n">kernel_name</span><span class="o">=</span><span class="s2">&quot;python3&quot;</span><span class="p">,</span> <span class="n">timeout</span><span class="o">=</span><span class="mi">2200</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Execute a notebook while passing parameters to it.</span>
@@ -436,7 +454,10 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
         <span class="n">nbformat</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">executed_notebook</span><span class="p">,</span> <span class="n">executed_notebook_file</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="store_metadata"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.store_metadata">[docs]</a><span class="k">def</span> <span class="nf">store_metadata</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+
+<div class="viewcode-block" id="store_metadata">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.store_metadata">[docs]</a>
+<span class="k">def</span> <span class="nf">store_metadata</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Store data in the notebook&#39;s output source code.</span>
 <span class="sd">    This function is similar to snapbook.glue().</span>
 
@@ -456,7 +477,10 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
     <span class="n">display</span><span class="p">(</span><span class="n">data_json</span><span class="p">,</span> <span class="n">metadata</span><span class="o">=</span><span class="n">metadata</span><span class="p">,</span> <span class="n">raw</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="read_notebook"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.read_notebook">[docs]</a><span class="k">def</span> <span class="nf">read_notebook</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="read_notebook">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.read_notebook">[docs]</a>
+<span class="k">def</span> <span class="nf">read_notebook</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Read the metadata stored in the notebook&#39;s output source code.</span>
 <span class="sd">    This function is similar to snapbook.read_notebook().</span>
 
@@ -480,6 +504,7 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
                     <span class="n">data</span> <span class="o">=</span> <span class="n">outputs</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">NOTEBOOK_OUTPUT_CONTENT_TYPE</span><span class="p">][</span><span class="s2">&quot;data&quot;</span><span class="p">]</span>
                     <span class="n">results</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span>
     <span class="k">return</span> <span class="n">results</span></div>
+
 </pre></div>
 
                 </article>
@@ -520,7 +545,7 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -544,8 +569,8 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/utils/plot.html b/_modules/recommenders/utils/plot.html
index 05a392e51..de09107da 100644
--- a/_modules/recommenders/utils/plot.html
+++ b/_modules/recommenders/utils/plot.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/plot';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/plot.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -329,7 +339,9 @@ <h1>Source code for recommenders.utils.plot</h1><div class="highlight"><pre>
 <span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 
 
-<div class="viewcode-block" id="line_graph"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.plot.line_graph">[docs]</a><span class="k">def</span> <span class="nf">line_graph</span><span class="p">(</span>
+<div class="viewcode-block" id="line_graph">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.plot.line_graph">[docs]</a>
+<span class="k">def</span> <span class="nf">line_graph</span><span class="p">(</span>
     <span class="n">values</span><span class="p">,</span>
     <span class="n">labels</span><span class="p">,</span>
     <span class="n">x_guides</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -405,6 +417,7 @@ <h1>Source code for recommenders.utils.plot</h1><div class="highlight"><pre>
         <span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">*</span><span class="n">y_min_max</span><span class="p">)</span>
     <span class="k">if</span> <span class="n">legend_loc</span><span class="p">:</span>
         <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="n">legend_loc</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -445,7 +458,7 @@ <h1>Source code for recommenders.utils.plot</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -469,8 +482,8 @@ <h1>Source code for recommenders.utils.plot</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/_modules/recommenders/utils/python_utils.html b/_modules/recommenders/utils/python_utils.html
index cf982842b..d4aa1c2ae 100644
--- a/_modules/recommenders/utils/python_utils.html
+++ b/_modules/recommenders/utils/python_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
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-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/python_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/python_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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   <div class="bd-container">
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@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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@@ -337,7 +347,9 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="exponential_decay"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.exponential_decay">[docs]</a><span class="k">def</span> <span class="nf">exponential_decay</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">max_val</span><span class="p">,</span> <span class="n">half_life</span><span class="p">):</span>
+<div class="viewcode-block" id="exponential_decay">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.exponential_decay">[docs]</a>
+<span class="k">def</span> <span class="nf">exponential_decay</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">max_val</span><span class="p">,</span> <span class="n">half_life</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Compute decay factor for a given value based on an exponential decay.</span>
 
 <span class="sd">    Values greater than `max_val` will be set to 1.</span>
@@ -353,6 +365,7 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">power</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="p">(</span><span class="n">max_val</span> <span class="o">-</span> <span class="n">value</span><span class="p">)</span> <span class="o">/</span> <span class="n">half_life</span><span class="p">))</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_get_row_and_column_matrix</span><span class="p">(</span><span class="n">array</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to get the row and column matrix from an array.</span>
 
@@ -367,7 +380,9 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">row_matrix</span><span class="p">,</span> <span class="n">column_matrix</span>
 
 
-<div class="viewcode-block" id="jaccard"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.jaccard">[docs]</a><span class="k">def</span> <span class="nf">jaccard</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+<div class="viewcode-block" id="jaccard">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.jaccard">[docs]</a>
+<span class="k">def</span> <span class="nf">jaccard</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Jaccard similarity of a matrix of</span>
 <span class="sd">    co-occurrences.  When comparing Jaccard with count co-occurrence</span>
 <span class="sd">    and lift similarity, count favours predictability, meaning that</span>
@@ -393,7 +408,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="lift"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.lift">[docs]</a><span class="k">def</span> <span class="nf">lift</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="lift">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.lift">[docs]</a>
+<span class="k">def</span> <span class="nf">lift</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Lift of a matrix of</span>
 <span class="sd">    co-occurrences. In comparison with basic co-occurrence and Jaccard</span>
 <span class="sd">    similarity, lift favours discoverability and serendipity, as</span>
@@ -416,7 +434,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="mutual_information"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.mutual_information">[docs]</a><span class="k">def</span> <span class="nf">mutual_information</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="mutual_information">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.mutual_information">[docs]</a>
+<span class="k">def</span> <span class="nf">mutual_information</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Mutual Information of a matrix of</span>
 <span class="sd">    co-occurrences.</span>
 
@@ -437,7 +458,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="lexicographers_mutual_information"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.lexicographers_mutual_information">[docs]</a><span class="k">def</span> <span class="nf">lexicographers_mutual_information</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="lexicographers_mutual_information">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.lexicographers_mutual_information">[docs]</a>
+<span class="k">def</span> <span class="nf">lexicographers_mutual_information</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Lexicographers Mutual Information of</span>
 <span class="sd">    a matrix of co-occurrences.</span>
 
@@ -459,7 +483,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="cosine_similarity"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.cosine_similarity">[docs]</a><span class="k">def</span> <span class="nf">cosine_similarity</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="cosine_similarity">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.cosine_similarity">[docs]</a>
+<span class="k">def</span> <span class="nf">cosine_similarity</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Cosine similarity of a matrix of</span>
 <span class="sd">    co-occurrences.</span>
 
@@ -482,7 +509,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="inclusion_index"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.inclusion_index">[docs]</a><span class="k">def</span> <span class="nf">inclusion_index</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="inclusion_index">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.inclusion_index">[docs]</a>
+<span class="k">def</span> <span class="nf">inclusion_index</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Inclusion Index of a matrix of</span>
 <span class="sd">    co-occurrences.</span>
 
@@ -504,7 +534,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_top_k_scored_items"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.get_top_k_scored_items">[docs]</a><span class="k">def</span> <span class="nf">get_top_k_scored_items</span><span class="p">(</span><span class="n">scores</span><span class="p">,</span> <span class="n">top_k</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_top_k_scored_items">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.get_top_k_scored_items">[docs]</a>
+<span class="k">def</span> <span class="nf">get_top_k_scored_items</span><span class="p">(</span><span class="n">scores</span><span class="p">,</span> <span class="n">top_k</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Extract top K items from a matrix of scores for each user-item pair, optionally sort results per user.</span>
 
 <span class="sd">    Args:</span>
@@ -544,7 +577,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">top_items</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">top_scores</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="binarize"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.binarize">[docs]</a><span class="k">def</span> <span class="nf">binarize</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">threshold</span><span class="p">):</span>
+
+<div class="viewcode-block" id="binarize">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.binarize">[docs]</a>
+<span class="k">def</span> <span class="nf">binarize</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">threshold</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Binarize the values.</span>
 
 <span class="sd">    Args:</span>
@@ -557,7 +593,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">a</span> <span class="o">&gt;</span> <span class="n">threshold</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="rescale"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.rescale">[docs]</a><span class="k">def</span> <span class="nf">rescale</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">new_min</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">new_max</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">data_min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">data_max</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="rescale">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.rescale">[docs]</a>
+<span class="k">def</span> <span class="nf">rescale</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">new_min</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">new_max</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">data_min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">data_max</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Rescale/normalize the data to be within the range `[new_min, new_max]`</span>
 <span class="sd">    If data_min and data_max are explicitly provided, they will be used</span>
 <span class="sd">    as the old min/max values instead of taken from the data.</span>
@@ -579,6 +618,7 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="n">data_min</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">min</span><span class="p">()</span> <span class="k">if</span> <span class="n">data_min</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">data_min</span>
     <span class="n">data_max</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">()</span> <span class="k">if</span> <span class="n">data_max</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">data_max</span>
     <span class="k">return</span> <span class="p">(</span><span class="n">data</span> <span class="o">-</span> <span class="n">data_min</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">data_max</span> <span class="o">-</span> <span class="n">data_min</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">new_max</span> <span class="o">-</span> <span class="n">new_min</span><span class="p">)</span> <span class="o">+</span> <span class="n">new_min</span></div>
+
 </pre></div>
 
                 </article>
@@ -619,7 +659,7 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -643,8 +683,8 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/_modules/recommenders/utils/spark_utils.html b/_modules/recommenders/utils/spark_utils.html
index e1dbc9cb9..3ee64da5e 100644
--- a/_modules/recommenders/utils/spark_utils.html
+++ b/_modules/recommenders/utils/spark_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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 </form></div>
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@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -344,7 +354,9 @@ <h1>Source code for recommenders.utils.spark_utils</h1><div class="highlight"><p
 <span class="c1"># MMLSPARK_REPO = &quot;https://mvnrepository.com/artifact&quot;</span>
 
 
-<div class="viewcode-block" id="start_or_get_spark"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.spark_utils.start_or_get_spark">[docs]</a><span class="k">def</span> <span class="nf">start_or_get_spark</span><span class="p">(</span>
+<div class="viewcode-block" id="start_or_get_spark">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.spark_utils.start_or_get_spark">[docs]</a>
+<span class="k">def</span> <span class="nf">start_or_get_spark</span><span class="p">(</span>
     <span class="n">app_name</span><span class="o">=</span><span class="s2">&quot;Sample&quot;</span><span class="p">,</span>
     <span class="n">url</span><span class="o">=</span><span class="s2">&quot;local[*]&quot;</span><span class="p">,</span>
     <span class="n">memory</span><span class="o">=</span><span class="s2">&quot;10g&quot;</span><span class="p">,</span>
@@ -399,6 +411,7 @@ <h1>Source code for recommenders.utils.spark_utils</h1><div class="highlight"><p
 
     <span class="n">spark_opts</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">&quot;getOrCreate()&quot;</span><span class="p">)</span>
     <span class="k">return</span> <span class="nb">eval</span><span class="p">(</span><span class="s2">&quot;.&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">spark_opts</span><span class="p">))</span></div>
+
 </pre></div>
 
                 </article>
@@ -439,7 +452,7 @@ <h1>Source code for recommenders.utils.spark_utils</h1><div class="highlight"><p
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -463,8 +476,8 @@ <h1>Source code for recommenders.utils.spark_utils</h1><div class="highlight"><p
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diff --git a/_modules/recommenders/utils/tf_utils.html b/_modules/recommenders/utils/tf_utils.html
index 91c416fbc..778c91a3f 100644
--- a/_modules/recommenders/utils/tf_utils.html
+++ b/_modules/recommenders/utils/tf_utils.html
@@ -1,9 +1,8 @@
 
-
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+<html lang="en" data-content_root="../../../" >
 
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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 </form></div>
   </div>
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-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
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+        <div class="sidebar-primary-item">
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+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -350,7 +360,9 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="pandas_input_fn_for_saved_model"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model">[docs]</a><span class="k">def</span> <span class="nf">pandas_input_fn_for_saved_model</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">feat_name_type</span><span class="p">):</span>
+<div class="viewcode-block" id="pandas_input_fn_for_saved_model">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model">[docs]</a>
+<span class="k">def</span> <span class="nf">pandas_input_fn_for_saved_model</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">feat_name_type</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Pandas input function for TensorFlow SavedModel.</span>
 
 <span class="sd">    Args:</span>
@@ -383,7 +395,10 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">input_fn</span></div>
 
 
-<div class="viewcode-block" id="pandas_input_fn"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.pandas_input_fn">[docs]</a><span class="k">def</span> <span class="nf">pandas_input_fn</span><span class="p">(</span>
+
+<div class="viewcode-block" id="pandas_input_fn">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.pandas_input_fn">[docs]</a>
+<span class="k">def</span> <span class="nf">pandas_input_fn</span><span class="p">(</span>
     <span class="n">df</span><span class="p">,</span> <span class="n">y_col</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span> <span class="n">num_epochs</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Pandas input function for TensorFlow high-level API Estimator.</span>
@@ -428,6 +443,7 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_dataset</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span> <span class="n">num_epochs</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
     <span class="k">if</span> <span class="n">y</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
         <span class="n">dataset</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">Dataset</span><span class="o">.</span><span class="n">from_tensor_slices</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
@@ -446,7 +462,9 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">dataset</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">num_epochs</span><span class="p">)</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">batch_size</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="build_optimizer"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.build_optimizer">[docs]</a><span class="k">def</span> <span class="nf">build_optimizer</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="build_optimizer">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.build_optimizer">[docs]</a>
+<span class="k">def</span> <span class="nf">build_optimizer</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get an optimizer for TensorFlow high-level API Estimator.</span>
 
 <span class="sd">    Available options are: `adadelta`, `adagrad`, `adam`, `ftrl`, `momentum`, `rmsprop` or `sgd`.</span>
@@ -481,7 +499,10 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">optimizer_class</span><span class="p">(</span><span class="n">learning_rate</span><span class="o">=</span><span class="n">lr</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="export_model"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.export_model">[docs]</a><span class="k">def</span> <span class="nf">export_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">train_input_fn</span><span class="p">,</span> <span class="n">eval_input_fn</span><span class="p">,</span> <span class="n">tf_feat_cols</span><span class="p">,</span> <span class="n">base_dir</span><span class="p">):</span>
+
+<div class="viewcode-block" id="export_model">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.export_model">[docs]</a>
+<span class="k">def</span> <span class="nf">export_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">train_input_fn</span><span class="p">,</span> <span class="n">eval_input_fn</span><span class="p">,</span> <span class="n">tf_feat_cols</span><span class="p">,</span> <span class="n">base_dir</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Export TensorFlow estimator (model).</span>
 
 <span class="sd">    Args:</span>
@@ -512,7 +533,10 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">exported_path</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="evaluation_log_hook"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.evaluation_log_hook">[docs]</a><span class="k">def</span> <span class="nf">evaluation_log_hook</span><span class="p">(</span>
+
+<div class="viewcode-block" id="evaluation_log_hook">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.evaluation_log_hook">[docs]</a>
+<span class="k">def</span> <span class="nf">evaluation_log_hook</span><span class="p">(</span>
     <span class="n">estimator</span><span class="p">,</span>
     <span class="n">logger</span><span class="p">,</span>
     <span class="n">true_df</span><span class="p">,</span>
@@ -565,6 +589,7 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="p">)</span></div>
 
 
+
 <span class="k">class</span> <span class="nc">_TrainLogHook</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">estimator</span><span class="o">.</span><span class="n">SessionRunHook</span><span class="p">):</span>
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
@@ -660,14 +685,21 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
             <span class="bp">self</span><span class="o">.</span><span class="n">summary_writer</span><span class="o">.</span><span class="n">add_summary</span><span class="p">(</span><span class="n">summary</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="MetricsLogger"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger">[docs]</a><span class="k">class</span> <span class="nc">MetricsLogger</span><span class="p">:</span>
+<div class="viewcode-block" id="MetricsLogger">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger">[docs]</a>
+<span class="k">class</span> <span class="nc">MetricsLogger</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Metrics logger&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="MetricsLogger.__init__"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="MetricsLogger.__init__">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initializer&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_log</span> <span class="o">=</span> <span class="p">{}</span></div>
 
-<div class="viewcode-block" id="MetricsLogger.log"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.log">[docs]</a>    <span class="k">def</span> <span class="nf">log</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">metric</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MetricsLogger.log">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.log">[docs]</a>
+    <span class="k">def</span> <span class="nf">log</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">metric</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Log metrics. Each metric&#39;s log will be stored in the corresponding list.</span>
 
 <span class="sd">        Args:</span>
@@ -678,13 +710,18 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
             <span class="bp">self</span><span class="o">.</span><span class="n">_log</span><span class="p">[</span><span class="n">metric</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_log</span><span class="p">[</span><span class="n">metric</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">value</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MetricsLogger.get_log"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.get_log">[docs]</a>    <span class="k">def</span> <span class="nf">get_log</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MetricsLogger.get_log">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.get_log">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_log</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Getter</span>
 
 <span class="sd">        Returns:</span>
 <span class="sd">            dict: Log metrics.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_log</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_log</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -725,7 +762,7 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -749,8 +786,8 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/_modules/recommenders/utils/timer.html b/_modules/recommenders/utils/timer.html
index a93b49dcc..8eea112e3 100644
--- a/_modules/recommenders/utils/timer.html
+++ b/_modules/recommenders/utils/timer.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
-    <script src="../../../_static/jquery.js"></script>
-    <script src="../../../_static/underscore.js"></script>
-    <script src="../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../_static/doctools.js"></script>
-    <script src="../../../_static/clipboard.min.js"></script>
-    <script src="../../../_static/copybutton.js"></script>
-    <script src="../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/timer';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/timer.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -332,7 +342,9 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">timeit</span> <span class="kn">import</span> <span class="n">default_timer</span>
 
 
-<div class="viewcode-block" id="Timer"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer">[docs]</a><span class="k">class</span> <span class="nc">Timer</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="Timer">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer">[docs]</a>
+<span class="k">class</span> <span class="nc">Timer</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Timer class.</span>
 
 <span class="sd">    `Original code &lt;https://github.com/miguelgfierro/pybase/blob/2298172a13fb4a243754acbc6029a4a2dcf72c20/log_base/timer.py&gt;`_.</span>
@@ -353,11 +365,14 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
 <span class="sd">        &#39;Time elapsed 1...&#39;</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Timer.__init__"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Timer.__init__">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_timer</span> <span class="o">=</span> <span class="n">default_timer</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_interval</span> <span class="o">=</span> <span class="mi">0</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">running</span> <span class="o">=</span> <span class="kc">False</span></div>
 
+
     <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
         <span class="k">return</span> <span class="bp">self</span>
@@ -368,12 +383,17 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
     <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="s2">&quot;</span><span class="si">{:0.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">interval</span><span class="p">)</span>
 
-<div class="viewcode-block" id="Timer.start"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.start">[docs]</a>    <span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Timer.start">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.start">[docs]</a>
+    <span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Start the timer.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">init</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_timer</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">running</span> <span class="o">=</span> <span class="kc">True</span></div>
 
-<div class="viewcode-block" id="Timer.stop"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.stop">[docs]</a>    <span class="k">def</span> <span class="nf">stop</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Timer.stop">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.stop">[docs]</a>
+    <span class="k">def</span> <span class="nf">stop</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Stop the timer. Calculate the interval in seconds.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">end</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_timer</span><span class="p">()</span>
         <span class="k">try</span><span class="p">:</span>
@@ -384,6 +404,7 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
                 <span class="s2">&quot;Timer has not been initialized: use start() or the contextual form with Timer() as t:&quot;</span>
             <span class="p">)</span></div>
 
+
     <span class="nd">@property</span>
     <span class="k">def</span> <span class="nf">interval</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get time interval in seconds.</span>
@@ -395,6 +416,7 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
             <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Timer has not been stopped, please use stop().&quot;</span><span class="p">)</span>
         <span class="k">else</span><span class="p">:</span>
             <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_interval</span></div>
+
 </pre></div>
 
                 </article>
@@ -435,7 +457,7 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -459,8 +481,8 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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new file mode 100644
index 000000000..eb19f698a
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1rem}.sd-g-sm-4,.sd-gy-sm-4{--sd-gutter-y: 1.5rem}.sd-g-sm-4,.sd-gx-sm-4{--sd-gutter-x: 1.5rem}.sd-g-sm-5,.sd-gy-sm-5{--sd-gutter-y: 3rem}.sd-g-sm-5,.sd-gx-sm-5{--sd-gutter-x: 3rem}}@media(min-width: 768px){.sd-col-md-auto{-ms-flex:0 0 auto;flex:0 0 auto;width:auto}.sd-col-md-1{-ms-flex:0 0 auto;flex:0 0 auto;width:8.3333333333%}.sd-col-md-2{-ms-flex:0 0 auto;flex:0 0 auto;width:16.6666666667%}.sd-col-md-3{-ms-flex:0 0 auto;flex:0 0 auto;width:25%}.sd-col-md-4{-ms-flex:0 0 auto;flex:0 0 auto;width:33.3333333333%}.sd-col-md-5{-ms-flex:0 0 auto;flex:0 0 auto;width:41.6666666667%}.sd-col-md-6{-ms-flex:0 0 auto;flex:0 0 auto;width:50%}.sd-col-md-7{-ms-flex:0 0 auto;flex:0 0 auto;width:58.3333333333%}.sd-col-md-8{-ms-flex:0 0 auto;flex:0 0 auto;width:66.6666666667%}.sd-col-md-9{-ms-flex:0 0 auto;flex:0 0 auto;width:75%}.sd-col-md-10{-ms-flex:0 0 auto;flex:0 0 auto;width:83.3333333333%}.sd-col-md-11{-ms-flex:0 0 auto;flex:0 0 auto;width:91.6666666667%}.sd-col-md-12{-ms-flex:0 0 auto;flex:0 0 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summary:focus{outline:none}details.sd-dropdown .sd-summary-icon{margin-right:.5em}details.sd-dropdown .sd-summary-icon svg{opacity:.8}details.sd-dropdown summary:hover .sd-summary-up svg,details.sd-dropdown summary:hover .sd-summary-down svg{opacity:1;transform:scale(1.1)}details.sd-dropdown .sd-summary-up svg,details.sd-dropdown .sd-summary-down svg{display:block;opacity:.6}details.sd-dropdown .sd-summary-up,details.sd-dropdown .sd-summary-down{pointer-events:none;position:absolute;right:1em;top:1em}details.sd-dropdown[open]>.sd-summary-title .sd-summary-down{visibility:hidden}details.sd-dropdown:not([open])>.sd-summary-title .sd-summary-up{visibility:hidden}details.sd-dropdown:not([open]).sd-card{border:none}details.sd-dropdown:not([open])>.sd-card-header{border:1px solid var(--sd-color-card-border);border-radius:.25rem}details.sd-dropdown.sd-fade-in[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out;animation:sd-fade-in .5s ease-in-out}details.sd-dropdown.sd-fade-in-slide-down[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out;animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out}.sd-col>.sd-dropdown{width:100%}.sd-summary-content>.sd-tab-set:first-child{margin-top:0}@keyframes sd-fade-in{0%{opacity:0}100%{opacity:1}}@keyframes sd-slide-down{0%{transform:translate(0, -10px)}100%{transform:translate(0, 0)}}.sd-tab-set{border-radius:.125rem;display:flex;flex-wrap:wrap;margin:1em 0;position:relative}.sd-tab-set>input{opacity:0;position:absolute}.sd-tab-set>input:checked+label{border-color:var(--sd-color-tabs-underline-active);color:var(--sd-color-tabs-label-active)}.sd-tab-set>input:checked+label+.sd-tab-content{display:block}.sd-tab-set>input:not(:checked)+label:hover{color:var(--sd-color-tabs-label-hover);border-color:var(--sd-color-tabs-underline-hover)}.sd-tab-set>input:focus+label{outline-style:auto}.sd-tab-set>input:not(.focus-visible)+label{outline:none;-webkit-tap-highlight-color:transparent}.sd-tab-set>label{border-bottom:.125rem solid transparent;margin-bottom:0;color:var(--sd-color-tabs-label-inactive);border-color:var(--sd-color-tabs-underline-inactive);cursor:pointer;font-size:var(--sd-fontsize-tabs-label);font-weight:700;padding:1em 1.25em .5em;transition:color 250ms;width:auto;z-index:1}html .sd-tab-set>label:hover{color:var(--sd-color-tabs-label-active)}.sd-col>.sd-tab-set{width:100%}.sd-tab-content{box-shadow:0 -0.0625rem var(--sd-color-tabs-overline),0 .0625rem var(--sd-color-tabs-underline);display:none;order:99;padding-bottom:.75rem;padding-top:.75rem;width:100%}.sd-tab-content>:first-child{margin-top:0 !important}.sd-tab-content>:last-child{margin-bottom:0 !important}.sd-tab-content>.sd-tab-set{margin:0}.sd-sphinx-override,.sd-sphinx-override *{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.sd-sphinx-override p{margin-top:0}:root{--sd-color-primary: #0071bc;--sd-color-secondary: #6c757d;--sd-color-success: #28a745;--sd-color-info: #17a2b8;--sd-color-warning: #f0b37e;--sd-color-danger: #dc3545;--sd-color-light: #f8f9fa;--sd-color-muted: #6c757d;--sd-color-dark: #212529;--sd-color-black: black;--sd-color-white: white;--sd-color-primary-highlight: #0060a0;--sd-color-secondary-highlight: #5c636a;--sd-color-success-highlight: #228e3b;--sd-color-info-highlight: #148a9c;--sd-color-warning-highlight: #cc986b;--sd-color-danger-highlight: #bb2d3b;--sd-color-light-highlight: #d3d4d5;--sd-color-muted-highlight: #5c636a;--sd-color-dark-highlight: #1c1f23;--sd-color-black-highlight: black;--sd-color-white-highlight: #d9d9d9;--sd-color-primary-text: #fff;--sd-color-secondary-text: #fff;--sd-color-success-text: #fff;--sd-color-info-text: #fff;--sd-color-warning-text: #212529;--sd-color-danger-text: #fff;--sd-color-light-text: #212529;--sd-color-muted-text: #fff;--sd-color-dark-text: #fff;--sd-color-black-text: #fff;--sd-color-white-text: #212529;--sd-color-shadow: rgba(0, 0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem}
diff --git a/_static/basic.css b/_static/basic.css
index 9e364ed34..e760386bd 100644
--- a/_static/basic.css
+++ b/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -237,6 +237,10 @@ a.headerlink {
     visibility: hidden;
 }
 
+a:visited {
+    color: #551A8B;
+}
+
 h1:hover > a.headerlink,
 h2:hover > a.headerlink,
 h3:hover > a.headerlink,
@@ -324,17 +328,17 @@ aside.sidebar {
 p.sidebar-title {
     font-weight: bold;
 }
+
 nav.contents,
 aside.topic,
-
 div.admonition, div.topic, blockquote {
     clear: left;
 }
 
 /* -- topics ---------------------------------------------------------------- */
+
 nav.contents,
 aside.topic,
-
 div.topic {
     border: 1px solid #ccc;
     padding: 7px;
@@ -375,7 +379,6 @@ div.sidebar > :last-child,
 aside.sidebar > :last-child,
 nav.contents > :last-child,
 aside.topic > :last-child,
-
 div.topic > :last-child,
 div.admonition > :last-child {
     margin-bottom: 0;
@@ -385,7 +388,6 @@ div.sidebar::after,
 aside.sidebar::after,
 nav.contents::after,
 aside.topic::after,
-
 div.topic::after,
 div.admonition::after,
 blockquote::after {
@@ -611,25 +613,6 @@ ul.simple p {
     margin-bottom: 0;
 }
 
-/* Docutils 0.17 and older (footnotes & citations) */
-dl.footnote > dt,
-dl.citation > dt {
-    float: left;
-    margin-right: 0.5em;
-}
-
-dl.footnote > dd,
-dl.citation > dd {
-    margin-bottom: 0em;
-}
-
-dl.footnote > dd:after,
-dl.citation > dd:after {
-    content: "";
-    clear: both;
-}
-
-/* Docutils 0.18+ (footnotes & citations) */
 aside.footnote > span,
 div.citation > span {
     float: left;
@@ -654,8 +637,6 @@ div.citation > p:last-of-type:after {
     clear: both;
 }
 
-/* Footnotes & citations ends */
-
 dl.field-list {
     display: grid;
     grid-template-columns: fit-content(30%) auto;
@@ -668,10 +649,6 @@ dl.field-list > dt {
     padding-right: 5px;
 }
 
-dl.field-list > dt:after {
-    content: ":";
-}
-
 dl.field-list > dd {
     padding-left: 0.5em;
     margin-top: 0em;
@@ -697,6 +674,16 @@ dd {
     margin-left: 30px;
 }
 
+.sig dd {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+.sig dl {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
 dl > dd:last-child,
 dl > dd:last-child > :last-child {
     margin-bottom: 0;
@@ -765,6 +752,14 @@ abbr, acronym {
     cursor: help;
 }
 
+.translated {
+    background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+    background-color: rgba(255, 207, 207, 0.2)
+}
+
 /* -- code displays --------------------------------------------------------- */
 
 pre {
diff --git a/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css b/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
new file mode 100644
index 000000000..eb19f698a
--- /dev/null
+++ b/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
@@ -0,0 +1 @@
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1rem}.sd-g-sm-4,.sd-gy-sm-4{--sd-gutter-y: 1.5rem}.sd-g-sm-4,.sd-gx-sm-4{--sd-gutter-x: 1.5rem}.sd-g-sm-5,.sd-gy-sm-5{--sd-gutter-y: 3rem}.sd-g-sm-5,.sd-gx-sm-5{--sd-gutter-x: 3rem}}@media(min-width: 768px){.sd-col-md-auto{-ms-flex:0 0 auto;flex:0 0 auto;width:auto}.sd-col-md-1{-ms-flex:0 0 auto;flex:0 0 auto;width:8.3333333333%}.sd-col-md-2{-ms-flex:0 0 auto;flex:0 0 auto;width:16.6666666667%}.sd-col-md-3{-ms-flex:0 0 auto;flex:0 0 auto;width:25%}.sd-col-md-4{-ms-flex:0 0 auto;flex:0 0 auto;width:33.3333333333%}.sd-col-md-5{-ms-flex:0 0 auto;flex:0 0 auto;width:41.6666666667%}.sd-col-md-6{-ms-flex:0 0 auto;flex:0 0 auto;width:50%}.sd-col-md-7{-ms-flex:0 0 auto;flex:0 0 auto;width:58.3333333333%}.sd-col-md-8{-ms-flex:0 0 auto;flex:0 0 auto;width:66.6666666667%}.sd-col-md-9{-ms-flex:0 0 auto;flex:0 0 auto;width:75%}.sd-col-md-10{-ms-flex:0 0 auto;flex:0 0 auto;width:83.3333333333%}.sd-col-md-11{-ms-flex:0 0 auto;flex:0 0 auto;width:91.6666666667%}.sd-col-md-12{-ms-flex:0 0 auto;flex:0 0 auto;width:100%}.sd-g-md-0,.sd-gy-md-0{--sd-gutter-y: 0}.sd-g-md-0,.sd-gx-md-0{--sd-gutter-x: 0}.sd-g-md-1,.sd-gy-md-1{--sd-gutter-y: 0.25rem}.sd-g-md-1,.sd-gx-md-1{--sd-gutter-x: 0.25rem}.sd-g-md-2,.sd-gy-md-2{--sd-gutter-y: 0.5rem}.sd-g-md-2,.sd-gx-md-2{--sd-gutter-x: 0.5rem}.sd-g-md-3,.sd-gy-md-3{--sd-gutter-y: 1rem}.sd-g-md-3,.sd-gx-md-3{--sd-gutter-x: 1rem}.sd-g-md-4,.sd-gy-md-4{--sd-gutter-y: 1.5rem}.sd-g-md-4,.sd-gx-md-4{--sd-gutter-x: 1.5rem}.sd-g-md-5,.sd-gy-md-5{--sd-gutter-y: 3rem}.sd-g-md-5,.sd-gx-md-5{--sd-gutter-x: 3rem}}@media(min-width: 992px){.sd-col-lg-auto{-ms-flex:0 0 auto;flex:0 0 auto;width:auto}.sd-col-lg-1{-ms-flex:0 0 auto;flex:0 0 auto;width:8.3333333333%}.sd-col-lg-2{-ms-flex:0 0 auto;flex:0 0 auto;width:16.6666666667%}.sd-col-lg-3{-ms-flex:0 0 auto;flex:0 0 auto;width:25%}.sd-col-lg-4{-ms-flex:0 0 auto;flex:0 0 auto;width:33.3333333333%}.sd-col-lg-5{-ms-flex:0 0 auto;flex:0 0 auto;width:41.6666666667%}.sd-col-lg-6{-ms-flex:0 0 auto;flex:0 0 auto;width:50%}.sd-col-lg-7{-ms-flex:0 0 auto;flex:0 0 auto;width:58.3333333333%}.sd-col-lg-8{-ms-flex:0 0 auto;flex:0 0 auto;width:66.6666666667%}.sd-col-lg-9{-ms-flex:0 0 auto;flex:0 0 auto;width:75%}.sd-col-lg-10{-ms-flex:0 0 auto;flex:0 0 auto;width:83.3333333333%}.sd-col-lg-11{-ms-flex:0 0 auto;flex:0 0 auto;width:91.6666666667%}.sd-col-lg-12{-ms-flex:0 0 auto;flex:0 0 auto;width:100%}.sd-g-lg-0,.sd-gy-lg-0{--sd-gutter-y: 0}.sd-g-lg-0,.sd-gx-lg-0{--sd-gutter-x: 0}.sd-g-lg-1,.sd-gy-lg-1{--sd-gutter-y: 0.25rem}.sd-g-lg-1,.sd-gx-lg-1{--sd-gutter-x: 0.25rem}.sd-g-lg-2,.sd-gy-lg-2{--sd-gutter-y: 0.5rem}.sd-g-lg-2,.sd-gx-lg-2{--sd-gutter-x: 0.5rem}.sd-g-lg-3,.sd-gy-lg-3{--sd-gutter-y: 1rem}.sd-g-lg-3,.sd-gx-lg-3{--sd-gutter-x: 1rem}.sd-g-lg-4,.sd-gy-lg-4{--sd-gutter-y: 1.5rem}.sd-g-lg-4,.sd-gx-lg-4{--sd-gutter-x: 1.5rem}.sd-g-lg-5,.sd-gy-lg-5{--sd-gutter-y: 3rem}.sd-g-lg-5,.sd-gx-lg-5{--sd-gutter-x: 3rem}}@media(min-width: 1200px){.sd-col-xl-auto{-ms-flex:0 0 auto;flex:0 0 auto;width:auto}.sd-col-xl-1{-ms-flex:0 0 auto;flex:0 0 auto;width:8.3333333333%}.sd-col-xl-2{-ms-flex:0 0 auto;flex:0 0 auto;width:16.6666666667%}.sd-col-xl-3{-ms-flex:0 0 auto;flex:0 0 auto;width:25%}.sd-col-xl-4{-ms-flex:0 0 auto;flex:0 0 auto;width:33.3333333333%}.sd-col-xl-5{-ms-flex:0 0 auto;flex:0 0 auto;width:41.6666666667%}.sd-col-xl-6{-ms-flex:0 0 auto;flex:0 0 auto;width:50%}.sd-col-xl-7{-ms-flex:0 0 auto;flex:0 0 auto;width:58.3333333333%}.sd-col-xl-8{-ms-flex:0 0 auto;flex:0 0 auto;width:66.6666666667%}.sd-col-xl-9{-ms-flex:0 0 auto;flex:0 0 auto;width:75%}.sd-col-xl-10{-ms-flex:0 0 auto;flex:0 0 auto;width:83.3333333333%}.sd-col-xl-11{-ms-flex:0 0 auto;flex:0 0 auto;width:91.6666666667%}.sd-col-xl-12{-ms-flex:0 0 auto;flex:0 0 auto;width:100%}.sd-g-xl-0,.sd-gy-xl-0{--sd-gutter-y: 0}.sd-g-xl-0,.sd-gx-xl-0{--sd-gutter-x: 0}.sd-g-xl-1,.sd-gy-xl-1{--sd-gutter-y: 0.25rem}.sd-g-xl-1,.sd-gx-xl-1{--sd-gutter-x: 0.25rem}.sd-g-xl-2,.sd-gy-xl-2{--sd-gutter-y: 0.5rem}.sd-g-xl-2,.sd-gx-xl-2{--sd-gutter-x: 0.5rem}.sd-g-xl-3,.sd-gy-xl-3{--sd-gutter-y: 1rem}.sd-g-xl-3,.sd-gx-xl-3{--sd-gutter-x: 1rem}.sd-g-xl-4,.sd-gy-xl-4{--sd-gutter-y: 1.5rem}.sd-g-xl-4,.sd-gx-xl-4{--sd-gutter-x: 1.5rem}.sd-g-xl-5,.sd-gy-xl-5{--sd-gutter-y: 3rem}.sd-g-xl-5,.sd-gx-xl-5{--sd-gutter-x: 3rem}}.sd-flex-row-reverse{flex-direction:row-reverse !important}details.sd-dropdown{position:relative}details.sd-dropdown .sd-summary-title{font-weight:700;padding-right:3em !important;-moz-user-select:none;-ms-user-select:none;-webkit-user-select:none;user-select:none}details.sd-dropdown:hover{cursor:pointer}details.sd-dropdown .sd-summary-content{cursor:default}details.sd-dropdown summary{list-style:none;padding:1em}details.sd-dropdown summary .sd-octicon.no-title{vertical-align:middle}details.sd-dropdown[open] summary .sd-octicon.no-title{visibility:hidden}details.sd-dropdown summary::-webkit-details-marker{display:none}details.sd-dropdown summary:focus{outline:none}details.sd-dropdown .sd-summary-icon{margin-right:.5em}details.sd-dropdown .sd-summary-icon svg{opacity:.8}details.sd-dropdown summary:hover .sd-summary-up svg,details.sd-dropdown summary:hover .sd-summary-down svg{opacity:1;transform:scale(1.1)}details.sd-dropdown .sd-summary-up svg,details.sd-dropdown .sd-summary-down svg{display:block;opacity:.6}details.sd-dropdown .sd-summary-up,details.sd-dropdown .sd-summary-down{pointer-events:none;position:absolute;right:1em;top:1em}details.sd-dropdown[open]>.sd-summary-title .sd-summary-down{visibility:hidden}details.sd-dropdown:not([open])>.sd-summary-title .sd-summary-up{visibility:hidden}details.sd-dropdown:not([open]).sd-card{border:none}details.sd-dropdown:not([open])>.sd-card-header{border:1px solid var(--sd-color-card-border);border-radius:.25rem}details.sd-dropdown.sd-fade-in[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out;animation:sd-fade-in .5s ease-in-out}details.sd-dropdown.sd-fade-in-slide-down[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out;animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out}.sd-col>.sd-dropdown{width:100%}.sd-summary-content>.sd-tab-set:first-child{margin-top:0}@keyframes sd-fade-in{0%{opacity:0}100%{opacity:1}}@keyframes sd-slide-down{0%{transform:translate(0, -10px)}100%{transform:translate(0, 0)}}.sd-tab-set{border-radius:.125rem;display:flex;flex-wrap:wrap;margin:1em 0;position:relative}.sd-tab-set>input{opacity:0;position:absolute}.sd-tab-set>input:checked+label{border-color:var(--sd-color-tabs-underline-active);color:var(--sd-color-tabs-label-active)}.sd-tab-set>input:checked+label+.sd-tab-content{display:block}.sd-tab-set>input:not(:checked)+label:hover{color:var(--sd-color-tabs-label-hover);border-color:var(--sd-color-tabs-underline-hover)}.sd-tab-set>input:focus+label{outline-style:auto}.sd-tab-set>input:not(.focus-visible)+label{outline:none;-webkit-tap-highlight-color:transparent}.sd-tab-set>label{border-bottom:.125rem solid transparent;margin-bottom:0;color:var(--sd-color-tabs-label-inactive);border-color:var(--sd-color-tabs-underline-inactive);cursor:pointer;font-size:var(--sd-fontsize-tabs-label);font-weight:700;padding:1em 1.25em .5em;transition:color 250ms;width:auto;z-index:1}html .sd-tab-set>label:hover{color:var(--sd-color-tabs-label-active)}.sd-col>.sd-tab-set{width:100%}.sd-tab-content{box-shadow:0 -0.0625rem var(--sd-color-tabs-overline),0 .0625rem var(--sd-color-tabs-underline);display:none;order:99;padding-bottom:.75rem;padding-top:.75rem;width:100%}.sd-tab-content>:first-child{margin-top:0 !important}.sd-tab-content>:last-child{margin-bottom:0 !important}.sd-tab-content>.sd-tab-set{margin:0}.sd-sphinx-override,.sd-sphinx-override *{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.sd-sphinx-override p{margin-top:0}:root{--sd-color-primary: #0071bc;--sd-color-secondary: #6c757d;--sd-color-success: #28a745;--sd-color-info: #17a2b8;--sd-color-warning: #f0b37e;--sd-color-danger: #dc3545;--sd-color-light: #f8f9fa;--sd-color-muted: #6c757d;--sd-color-dark: #212529;--sd-color-black: black;--sd-color-white: white;--sd-color-primary-highlight: #0060a0;--sd-color-secondary-highlight: #5c636a;--sd-color-success-highlight: #228e3b;--sd-color-info-highlight: #148a9c;--sd-color-warning-highlight: #cc986b;--sd-color-danger-highlight: #bb2d3b;--sd-color-light-highlight: #d3d4d5;--sd-color-muted-highlight: #5c636a;--sd-color-dark-highlight: #1c1f23;--sd-color-black-highlight: black;--sd-color-white-highlight: #d9d9d9;--sd-color-primary-text: #fff;--sd-color-secondary-text: #fff;--sd-color-success-text: #fff;--sd-color-info-text: #fff;--sd-color-warning-text: #212529;--sd-color-danger-text: #fff;--sd-color-light-text: #212529;--sd-color-muted-text: #fff;--sd-color-dark-text: #fff;--sd-color-black-text: #fff;--sd-color-white-text: #212529;--sd-color-shadow: rgba(0, 0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem}
diff --git a/_static/doctools.js b/_static/doctools.js
index c3db08d1c..d06a71d75 100644
--- a/_static/doctools.js
+++ b/_static/doctools.js
@@ -4,12 +4,19 @@
  *
  * Base JavaScript utilities for all Sphinx HTML documentation.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
 "use strict";
 
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+  "TEXTAREA",
+  "INPUT",
+  "SELECT",
+  "BUTTON",
+]);
+
 const _ready = (callback) => {
   if (document.readyState !== "loading") {
     callback();
@@ -18,73 +25,11 @@ const _ready = (callback) => {
   }
 };
 
-/**
- * highlight a given string on a node by wrapping it in
- * span elements with the given class name.
- */
-const _highlight = (node, addItems, text, className) => {
-  if (node.nodeType === Node.TEXT_NODE) {
-    const val = node.nodeValue;
-    const parent = node.parentNode;
-    const pos = val.toLowerCase().indexOf(text);
-    if (
-      pos >= 0 &&
-      !parent.classList.contains(className) &&
-      !parent.classList.contains("nohighlight")
-    ) {
-      let span;
-
-      const closestNode = parent.closest("body, svg, foreignObject");
-      const isInSVG = closestNode && closestNode.matches("svg");
-      if (isInSVG) {
-        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
-      } else {
-        span = document.createElement("span");
-        span.classList.add(className);
-      }
-
-      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
-      parent.insertBefore(
-        span,
-        parent.insertBefore(
-          document.createTextNode(val.substr(pos + text.length)),
-          node.nextSibling
-        )
-      );
-      node.nodeValue = val.substr(0, pos);
-
-      if (isInSVG) {
-        const rect = document.createElementNS(
-          "http://www.w3.org/2000/svg",
-          "rect"
-        );
-        const bbox = parent.getBBox();
-        rect.x.baseVal.value = bbox.x;
-        rect.y.baseVal.value = bbox.y;
-        rect.width.baseVal.value = bbox.width;
-        rect.height.baseVal.value = bbox.height;
-        rect.setAttribute("class", className);
-        addItems.push({ parent: parent, target: rect });
-      }
-    }
-  } else if (node.matches && !node.matches("button, select, textarea")) {
-    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
-  }
-};
-const _highlightText = (thisNode, text, className) => {
-  let addItems = [];
-  _highlight(thisNode, addItems, text, className);
-  addItems.forEach((obj) =>
-    obj.parent.insertAdjacentElement("beforebegin", obj.target)
-  );
-};
-
 /**
  * Small JavaScript module for the documentation.
  */
 const Documentation = {
   init: () => {
-    Documentation.highlightSearchWords();
     Documentation.initDomainIndexTable();
     Documentation.initOnKeyListeners();
   },
@@ -126,51 +71,6 @@ const Documentation = {
     Documentation.LOCALE = catalog.locale;
   },
 
-  /**
-   * highlight the search words provided in the url in the text
-   */
-  highlightSearchWords: () => {
-    const highlight =
-      new URLSearchParams(window.location.search).get("highlight") || "";
-    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
-    if (terms.length === 0) return; // nothing to do
-
-    // There should never be more than one element matching "div.body"
-    const divBody = document.querySelectorAll("div.body");
-    const body = divBody.length ? divBody[0] : document.querySelector("body");
-    window.setTimeout(() => {
-      terms.forEach((term) => _highlightText(body, term, "highlighted"));
-    }, 10);
-
-    const searchBox = document.getElementById("searchbox");
-    if (searchBox === null) return;
-    searchBox.appendChild(
-      document
-        .createRange()
-        .createContextualFragment(
-          '<p class="highlight-link">' +
-            '<a href="javascript:Documentation.hideSearchWords()">' +
-            Documentation.gettext("Hide Search Matches") +
-            "</a></p>"
-        )
-    );
-  },
-
-  /**
-   * helper function to hide the search marks again
-   */
-  hideSearchWords: () => {
-    document
-      .querySelectorAll("#searchbox .highlight-link")
-      .forEach((el) => el.remove());
-    document
-      .querySelectorAll("span.highlighted")
-      .forEach((el) => el.classList.remove("highlighted"));
-    const url = new URL(window.location);
-    url.searchParams.delete("highlight");
-    window.history.replaceState({}, "", url);
-  },
-
   /**
    * helper function to focus on search bar
    */
@@ -210,15 +110,11 @@ const Documentation = {
     )
       return;
 
-    const blacklistedElements = new Set([
-      "TEXTAREA",
-      "INPUT",
-      "SELECT",
-      "BUTTON",
-    ]);
     document.addEventListener("keydown", (event) => {
-      if (blacklistedElements.has(document.activeElement.tagName)) return; // bail for input elements
-      if (event.altKey || event.ctrlKey || event.metaKey) return; // bail with special keys
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.altKey || event.ctrlKey || event.metaKey) return;
 
       if (!event.shiftKey) {
         switch (event.key) {
@@ -240,10 +136,6 @@ const Documentation = {
               event.preventDefault();
             }
             break;
-          case "Escape":
-            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
-            Documentation.hideSearchWords();
-            event.preventDefault();
         }
       }
 
diff --git a/_static/documentation_options.js b/_static/documentation_options.js
index 162a6ba8d..dab586c0d 100644
--- a/_static/documentation_options.js
+++ b/_static/documentation_options.js
@@ -1,5 +1,4 @@
-var DOCUMENTATION_OPTIONS = {
-    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+const DOCUMENTATION_OPTIONS = {
     VERSION: '',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
@@ -10,5 +9,5 @@ var DOCUMENTATION_OPTIONS = {
     SOURCELINK_SUFFIX: '',
     NAVIGATION_WITH_KEYS: false,
     SHOW_SEARCH_SUMMARY: true,
-    ENABLE_SEARCH_SHORTCUTS: false,
+    ENABLE_SEARCH_SHORTCUTS: true,
 };
\ No newline at end of file
diff --git a/_static/language_data.js b/_static/language_data.js
index 2e22b06ab..250f5665f 100644
--- a/_static/language_data.js
+++ b/_static/language_data.js
@@ -5,7 +5,7 @@
  * This script contains the language-specific data used by searchtools.js,
  * namely the list of stopwords, stemmer, scorer and splitter.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
diff --git a/_static/locales/ar/LC_MESSAGES/booktheme.po b/_static/locales/ar/LC_MESSAGES/booktheme.po
index 2e8d68202..1237f3432 100644
--- a/_static/locales/ar/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ar/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ar\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "تنزيل ملف المصدر"
+
 msgid "suggest edit"
 msgstr "أقترح تحرير"
 
-msgid "Last updated on"
-msgstr "آخر تحديث في"
-
-msgid "Edit this page"
-msgstr "قم بتحرير هذه الصفحة"
-
-msgid "Launch"
-msgstr "إطلاق"
-
-msgid "Print to PDF"
-msgstr "طباعة إلى PDF"
+msgid "Toggle navigation"
+msgstr "تبديل التنقل"
 
 msgid "open issue"
 msgstr "قضية مفتوحة"
@@ -29,47 +23,53 @@ msgstr "قضية مفتوحة"
 msgid "Download notebook file"
 msgstr "تنزيل ملف دفتر الملاحظات"
 
-msgid "Toggle navigation"
-msgstr "تبديل التنقل"
+msgid "repository"
+msgstr "مخزن"
 
-msgid "Source repository"
-msgstr "مستودع المصدر"
+msgid "Theme by the"
+msgstr "موضوع بواسطة"
 
-msgid "By the"
-msgstr "بواسطة"
+msgid "Print to PDF"
+msgstr "طباعة إلى PDF"
 
-msgid "next page"
-msgstr "الصفحة التالية"
+msgid "Download this page"
+msgstr "قم بتنزيل هذه الصفحة"
 
-msgid "repository"
-msgstr "مخزن"
+msgid "Copyright"
+msgstr "حقوق النشر"
+
+msgid "Last updated on"
+msgstr "آخر تحديث في"
+
+msgid "Launch"
+msgstr "إطلاق"
+
+msgid "Open an issue"
+msgstr "افتح قضية"
+
+msgid "Fullscreen mode"
+msgstr "وضع ملء الشاشة"
 
 msgid "Sphinx Book Theme"
 msgstr "موضوع كتاب أبو الهول"
 
-msgid "Download source file"
-msgstr "تنزيل ملف المصدر"
-
 msgid "Contents"
 msgstr "محتويات"
 
-msgid "By"
-msgstr "بواسطة"
+msgid "Edit this page"
+msgstr "قم بتحرير هذه الصفحة"
 
-msgid "Copyright"
-msgstr "حقوق النشر"
+msgid "next page"
+msgstr "الصفحة التالية"
 
-msgid "Fullscreen mode"
-msgstr "وضع ملء الشاشة"
+msgid "Source repository"
+msgstr "مستودع المصدر"
 
-msgid "Open an issue"
-msgstr "افتح قضية"
+msgid "By"
+msgstr "بواسطة"
+
+msgid "By the"
+msgstr "بواسطة"
 
 msgid "previous page"
 msgstr "الصفحة السابقة"
-
-msgid "Download this page"
-msgstr "قم بتنزيل هذه الصفحة"
-
-msgid "Theme by the"
-msgstr "موضوع بواسطة"
diff --git a/_static/locales/bg/LC_MESSAGES/booktheme.po b/_static/locales/bg/LC_MESSAGES/booktheme.po
index 56ef0ebdf..45a6ed0a4 100644
--- a/_static/locales/bg/LC_MESSAGES/booktheme.po
+++ b/_static/locales/bg/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: bg\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Изтеглете изходния файл"
+
 msgid "suggest edit"
 msgstr "предложи редактиране"
 
-msgid "Last updated on"
-msgstr "Последна актуализация на"
-
-msgid "Edit this page"
-msgstr "Редактирайте тази страница"
-
-msgid "Launch"
-msgstr "Стартиране"
-
-msgid "Print to PDF"
-msgstr "Печат в PDF"
+msgid "Toggle navigation"
+msgstr "Превключване на навигацията"
 
 msgid "open issue"
 msgstr "отворен брой"
@@ -29,47 +23,53 @@ msgstr "отворен брой"
 msgid "Download notebook file"
 msgstr "Изтеглете файла на бележника"
 
-msgid "Toggle navigation"
-msgstr "Превключване на навигацията"
+msgid "repository"
+msgstr "хранилище"
 
-msgid "Source repository"
-msgstr "Хранилище на източника"
+msgid "Theme by the"
+msgstr "Тема от"
 
-msgid "By the"
-msgstr "По"
+msgid "Print to PDF"
+msgstr "Печат в PDF"
 
-msgid "next page"
-msgstr "Следваща страница"
+msgid "Download this page"
+msgstr "Изтеглете тази страница"
 
-msgid "repository"
-msgstr "хранилище"
+msgid "Copyright"
+msgstr "Авторско право"
+
+msgid "Last updated on"
+msgstr "Последна актуализация на"
+
+msgid "Launch"
+msgstr "Стартиране"
+
+msgid "Open an issue"
+msgstr "Отворете проблем"
+
+msgid "Fullscreen mode"
+msgstr "Режим на цял екран"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема на книгата Sphinx"
 
-msgid "Download source file"
-msgstr "Изтеглете изходния файл"
-
 msgid "Contents"
 msgstr "Съдържание"
 
-msgid "By"
-msgstr "От"
+msgid "Edit this page"
+msgstr "Редактирайте тази страница"
 
-msgid "Copyright"
-msgstr "Авторско право"
+msgid "next page"
+msgstr "Следваща страница"
 
-msgid "Fullscreen mode"
-msgstr "Режим на цял екран"
+msgid "Source repository"
+msgstr "Хранилище на източника"
 
-msgid "Open an issue"
-msgstr "Отворете проблем"
+msgid "By"
+msgstr "От"
+
+msgid "By the"
+msgstr "По"
 
 msgid "previous page"
 msgstr "предишна страница"
-
-msgid "Download this page"
-msgstr "Изтеглете тази страница"
-
-msgid "Theme by the"
-msgstr "Тема от"
diff --git a/_static/locales/bn/LC_MESSAGES/booktheme.po b/_static/locales/bn/LC_MESSAGES/booktheme.po
index 243ca31f7..122a369e5 100644
--- a/_static/locales/bn/LC_MESSAGES/booktheme.po
+++ b/_static/locales/bn/LC_MESSAGES/booktheme.po
@@ -8,17 +8,11 @@ msgstr ""
 "Language: bn\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "Last updated on"
-msgstr "সর্বশেষ আপডেট"
-
-msgid "Edit this page"
-msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
-
-msgid "Launch"
-msgstr "শুরু করা"
+msgid "Download source file"
+msgstr "উত্স ফাইল ডাউনলোড করুন"
 
-msgid "Print to PDF"
-msgstr "পিডিএফ প্রিন্ট করুন"
+msgid "Toggle navigation"
+msgstr "নেভিগেশন টগল করুন"
 
 msgid "open issue"
 msgstr "খোলা সমস্যা"
@@ -26,38 +20,44 @@ msgstr "খোলা সমস্যা"
 msgid "Download notebook file"
 msgstr "নোটবুক ফাইল ডাউনলোড করুন"
 
-msgid "Toggle navigation"
-msgstr "নেভিগেশন টগল করুন"
+msgid "Theme by the"
+msgstr "থিম দ্বারা"
 
-msgid "Source repository"
-msgstr "উত্স সংগ্রহস্থল"
+msgid "Print to PDF"
+msgstr "পিডিএফ প্রিন্ট করুন"
 
-msgid "By the"
-msgstr "দ্বারা"
+msgid "Download this page"
+msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
 
-msgid "next page"
-msgstr "পরবর্তী পৃষ্ঠা"
+msgid "Copyright"
+msgstr "কপিরাইট"
+
+msgid "Last updated on"
+msgstr "সর্বশেষ আপডেট"
+
+msgid "Launch"
+msgstr "শুরু করা"
+
+msgid "Open an issue"
+msgstr "একটি সমস্যা খুলুন"
 
 msgid "Sphinx Book Theme"
 msgstr "স্পিনিক্স বুক থিম"
 
-msgid "Download source file"
-msgstr "উত্স ফাইল ডাউনলোড করুন"
+msgid "Edit this page"
+msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
+
+msgid "next page"
+msgstr "পরবর্তী পৃষ্ঠা"
+
+msgid "Source repository"
+msgstr "উত্স সংগ্রহস্থল"
 
 msgid "By"
 msgstr "দ্বারা"
 
-msgid "Copyright"
-msgstr "কপিরাইট"
-
-msgid "Open an issue"
-msgstr "একটি সমস্যা খুলুন"
+msgid "By the"
+msgstr "দ্বারা"
 
 msgid "previous page"
 msgstr "আগের পৃষ্ঠা"
-
-msgid "Download this page"
-msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
-
-msgid "Theme by the"
-msgstr "থিম দ্বারা"
diff --git a/_static/locales/ca/LC_MESSAGES/booktheme.po b/_static/locales/ca/LC_MESSAGES/booktheme.po
index b27a13db9..c757deb8e 100644
--- a/_static/locales/ca/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ca/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ca\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Baixeu el fitxer font"
+
 msgid "suggest edit"
 msgstr "suggerir edició"
 
-msgid "Last updated on"
-msgstr "Darrera actualització el"
-
-msgid "Edit this page"
-msgstr "Editeu aquesta pàgina"
-
-msgid "Launch"
-msgstr "Llançament"
-
-msgid "Print to PDF"
-msgstr "Imprimeix a PDF"
+msgid "Toggle navigation"
+msgstr "Commuta la navegació"
 
 msgid "open issue"
 msgstr "número obert"
@@ -29,38 +23,44 @@ msgstr "número obert"
 msgid "Download notebook file"
 msgstr "Descarregar fitxer de quadern"
 
-msgid "Toggle navigation"
-msgstr "Commuta la navegació"
+msgid "Theme by the"
+msgstr "Tema del"
 
-msgid "Source repository"
-msgstr "Dipòsit de fonts"
+msgid "Print to PDF"
+msgstr "Imprimeix a PDF"
 
-msgid "By the"
-msgstr "Per la"
+msgid "Download this page"
+msgstr "Descarregueu aquesta pàgina"
 
-msgid "next page"
-msgstr "pàgina següent"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Last updated on"
+msgstr "Darrera actualització el"
+
+msgid "Launch"
+msgstr "Llançament"
+
+msgid "Open an issue"
+msgstr "Obriu un número"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del llibre Esfinx"
 
-msgid "Download source file"
-msgstr "Baixeu el fitxer font"
+msgid "Edit this page"
+msgstr "Editeu aquesta pàgina"
+
+msgid "next page"
+msgstr "pàgina següent"
+
+msgid "Source repository"
+msgstr "Dipòsit de fonts"
 
 msgid "By"
 msgstr "Per"
 
-msgid "Copyright"
-msgstr "Copyright"
-
-msgid "Open an issue"
-msgstr "Obriu un número"
+msgid "By the"
+msgstr "Per la"
 
 msgid "previous page"
 msgstr "Pàgina anterior"
-
-msgid "Download this page"
-msgstr "Descarregueu aquesta pàgina"
-
-msgid "Theme by the"
-msgstr "Tema del"
diff --git a/_static/locales/cs/LC_MESSAGES/booktheme.po b/_static/locales/cs/LC_MESSAGES/booktheme.po
index 3818df976..3571c23b4 100644
--- a/_static/locales/cs/LC_MESSAGES/booktheme.po
+++ b/_static/locales/cs/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: cs\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Stáhněte si zdrojový soubor"
+
 msgid "suggest edit"
 msgstr "navrhnout úpravy"
 
-msgid "Last updated on"
-msgstr "Naposledy aktualizováno"
-
-msgid "Edit this page"
-msgstr "Upravit tuto stránku"
-
-msgid "Launch"
-msgstr "Zahájení"
-
-msgid "Print to PDF"
-msgstr "Tisk do PDF"
+msgid "Toggle navigation"
+msgstr "Přepnout navigaci"
 
 msgid "open issue"
 msgstr "otevřené číslo"
@@ -29,47 +23,53 @@ msgstr "otevřené číslo"
 msgid "Download notebook file"
 msgstr "Stáhnout soubor poznámkového bloku"
 
-msgid "Toggle navigation"
-msgstr "Přepnout navigaci"
+msgid "repository"
+msgstr "úložiště"
 
-msgid "Source repository"
-msgstr "Zdrojové úložiště"
+msgid "Theme by the"
+msgstr "Téma od"
 
-msgid "By the"
-msgstr "Podle"
+msgid "Print to PDF"
+msgstr "Tisk do PDF"
 
-msgid "next page"
-msgstr "další strana"
+msgid "Download this page"
+msgstr "Stáhněte si tuto stránku"
 
-msgid "repository"
-msgstr "úložiště"
+msgid "Copyright"
+msgstr "autorská práva"
+
+msgid "Last updated on"
+msgstr "Naposledy aktualizováno"
+
+msgid "Launch"
+msgstr "Zahájení"
+
+msgid "Open an issue"
+msgstr "Otevřete problém"
+
+msgid "Fullscreen mode"
+msgstr "Režim celé obrazovky"
 
 msgid "Sphinx Book Theme"
 msgstr "Téma knihy Sfinga"
 
-msgid "Download source file"
-msgstr "Stáhněte si zdrojový soubor"
-
 msgid "Contents"
 msgstr "Obsah"
 
-msgid "By"
-msgstr "Podle"
+msgid "Edit this page"
+msgstr "Upravit tuto stránku"
 
-msgid "Copyright"
-msgstr "autorská práva"
+msgid "next page"
+msgstr "další strana"
 
-msgid "Fullscreen mode"
-msgstr "Režim celé obrazovky"
+msgid "Source repository"
+msgstr "Zdrojové úložiště"
 
-msgid "Open an issue"
-msgstr "Otevřete problém"
+msgid "By"
+msgstr "Podle"
+
+msgid "By the"
+msgstr "Podle"
 
 msgid "previous page"
 msgstr "předchozí stránka"
-
-msgid "Download this page"
-msgstr "Stáhněte si tuto stránku"
-
-msgid "Theme by the"
-msgstr "Téma od"
diff --git a/_static/locales/da/LC_MESSAGES/booktheme.po b/_static/locales/da/LC_MESSAGES/booktheme.po
index 7f20a3bd0..c39223fde 100644
--- a/_static/locales/da/LC_MESSAGES/booktheme.po
+++ b/_static/locales/da/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: da\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Download kildefil"
+
 msgid "suggest edit"
 msgstr "foreslå redigering"
 
-msgid "Last updated on"
-msgstr "Sidst opdateret den"
-
-msgid "Edit this page"
-msgstr "Rediger denne side"
-
-msgid "Launch"
-msgstr "Start"
-
-msgid "Print to PDF"
-msgstr "Udskriv til PDF"
+msgid "Toggle navigation"
+msgstr "Skift navigation"
 
 msgid "open issue"
 msgstr "åbent nummer"
@@ -29,47 +23,53 @@ msgstr "åbent nummer"
 msgid "Download notebook file"
 msgstr "Download notesbog-fil"
 
-msgid "Toggle navigation"
-msgstr "Skift navigation"
+msgid "repository"
+msgstr "lager"
 
-msgid "Source repository"
-msgstr "Kildelager"
+msgid "Theme by the"
+msgstr "Tema af"
 
-msgid "By the"
-msgstr "Ved"
+msgid "Print to PDF"
+msgstr "Udskriv til PDF"
 
-msgid "next page"
-msgstr "Næste side"
+msgid "Download this page"
+msgstr "Download denne side"
 
-msgid "repository"
-msgstr "lager"
+msgid "Copyright"
+msgstr "ophavsret"
+
+msgid "Last updated on"
+msgstr "Sidst opdateret den"
+
+msgid "Launch"
+msgstr "Start"
+
+msgid "Open an issue"
+msgstr "Åbn et problem"
+
+msgid "Fullscreen mode"
+msgstr "Fuldskærmstilstand"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx bogtema"
 
-msgid "Download source file"
-msgstr "Download kildefil"
-
 msgid "Contents"
 msgstr "Indhold"
 
-msgid "By"
-msgstr "Ved"
+msgid "Edit this page"
+msgstr "Rediger denne side"
 
-msgid "Copyright"
-msgstr "ophavsret"
+msgid "next page"
+msgstr "Næste side"
 
-msgid "Fullscreen mode"
-msgstr "Fuldskærmstilstand"
+msgid "Source repository"
+msgstr "Kildelager"
 
-msgid "Open an issue"
-msgstr "Åbn et problem"
+msgid "By"
+msgstr "Ved"
+
+msgid "By the"
+msgstr "Ved"
 
 msgid "previous page"
 msgstr "forrige side"
-
-msgid "Download this page"
-msgstr "Download denne side"
-
-msgid "Theme by the"
-msgstr "Tema af"
diff --git a/_static/locales/de/LC_MESSAGES/booktheme.po b/_static/locales/de/LC_MESSAGES/booktheme.po
index c0027d3ab..e22b505f2 100644
--- a/_static/locales/de/LC_MESSAGES/booktheme.po
+++ b/_static/locales/de/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: de\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Quelldatei herunterladen"
+
 msgid "suggest edit"
 msgstr "vorschlagen zu bearbeiten"
 
-msgid "Last updated on"
-msgstr "Zuletzt aktualisiert am"
-
-msgid "Edit this page"
-msgstr "Bearbeite diese Seite"
-
-msgid "Launch"
-msgstr "Starten"
-
-msgid "Print to PDF"
-msgstr "In PDF drucken"
+msgid "Toggle navigation"
+msgstr "Navigation umschalten"
 
 msgid "open issue"
 msgstr "offenes Thema"
@@ -29,47 +23,53 @@ msgstr "offenes Thema"
 msgid "Download notebook file"
 msgstr "Notebook-Datei herunterladen"
 
-msgid "Toggle navigation"
-msgstr "Navigation umschalten"
+msgid "repository"
+msgstr "Repository"
 
-msgid "Source repository"
-msgstr "Quell-Repository"
+msgid "Theme by the"
+msgstr "Thema von der"
 
-msgid "By the"
-msgstr "Bis zum"
+msgid "Print to PDF"
+msgstr "In PDF drucken"
 
-msgid "next page"
-msgstr "Nächste Seite"
+msgid "Download this page"
+msgstr "Laden Sie diese Seite herunter"
 
-msgid "repository"
-msgstr "Repository"
+msgid "Copyright"
+msgstr "Urheberrechte ©"
+
+msgid "Last updated on"
+msgstr "Zuletzt aktualisiert am"
+
+msgid "Launch"
+msgstr "Starten"
+
+msgid "Open an issue"
+msgstr "Öffnen Sie ein Problem"
+
+msgid "Fullscreen mode"
+msgstr "Vollbildmodus"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-Buch-Thema"
 
-msgid "Download source file"
-msgstr "Quelldatei herunterladen"
-
 msgid "Contents"
 msgstr "Inhalt"
 
-msgid "By"
-msgstr "Durch"
+msgid "Edit this page"
+msgstr "Bearbeite diese Seite"
 
-msgid "Copyright"
-msgstr "Urheberrechte ©"
+msgid "next page"
+msgstr "Nächste Seite"
 
-msgid "Fullscreen mode"
-msgstr "Vollbildmodus"
+msgid "Source repository"
+msgstr "Quell-Repository"
 
-msgid "Open an issue"
-msgstr "Öffnen Sie ein Problem"
+msgid "By"
+msgstr "Durch"
+
+msgid "By the"
+msgstr "Bis zum"
 
 msgid "previous page"
 msgstr "vorherige Seite"
-
-msgid "Download this page"
-msgstr "Laden Sie diese Seite herunter"
-
-msgid "Theme by the"
-msgstr "Thema von der"
diff --git a/_static/locales/el/LC_MESSAGES/booktheme.po b/_static/locales/el/LC_MESSAGES/booktheme.po
index bdeb3270a..588f2efd8 100644
--- a/_static/locales/el/LC_MESSAGES/booktheme.po
+++ b/_static/locales/el/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: el\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Λήψη αρχείου προέλευσης"
+
 msgid "suggest edit"
 msgstr "προτείνω επεξεργασία"
 
-msgid "Last updated on"
-msgstr "Τελευταία ενημέρωση στις"
-
-msgid "Edit this page"
-msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
-
-msgid "Launch"
-msgstr "Εκτόξευση"
-
-msgid "Print to PDF"
-msgstr "Εκτύπωση σε PDF"
+msgid "Toggle navigation"
+msgstr "Εναλλαγή πλοήγησης"
 
 msgid "open issue"
 msgstr "ανοιχτό ζήτημα"
@@ -29,47 +23,53 @@ msgstr "ανοιχτό ζήτημα"
 msgid "Download notebook file"
 msgstr "Λήψη αρχείου σημειωματάριου"
 
-msgid "Toggle navigation"
-msgstr "Εναλλαγή πλοήγησης"
+msgid "repository"
+msgstr "αποθήκη"
 
-msgid "Source repository"
-msgstr "Αποθήκη πηγής"
+msgid "Theme by the"
+msgstr "Θέμα από το"
 
-msgid "By the"
-msgstr "Από το"
+msgid "Print to PDF"
+msgstr "Εκτύπωση σε PDF"
 
-msgid "next page"
-msgstr "επόμενη σελίδα"
+msgid "Download this page"
+msgstr "Λήψη αυτής της σελίδας"
 
-msgid "repository"
-msgstr "αποθήκη"
+msgid "Copyright"
+msgstr "Πνευματική ιδιοκτησία"
+
+msgid "Last updated on"
+msgstr "Τελευταία ενημέρωση στις"
+
+msgid "Launch"
+msgstr "Εκτόξευση"
+
+msgid "Open an issue"
+msgstr "Ανοίξτε ένα ζήτημα"
+
+msgid "Fullscreen mode"
+msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
 
 msgid "Sphinx Book Theme"
 msgstr "Θέμα βιβλίου Sphinx"
 
-msgid "Download source file"
-msgstr "Λήψη αρχείου προέλευσης"
-
 msgid "Contents"
 msgstr "Περιεχόμενα"
 
-msgid "By"
-msgstr "Με"
+msgid "Edit this page"
+msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
 
-msgid "Copyright"
-msgstr "Πνευματική ιδιοκτησία"
+msgid "next page"
+msgstr "επόμενη σελίδα"
 
-msgid "Fullscreen mode"
-msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
+msgid "Source repository"
+msgstr "Αποθήκη πηγής"
 
-msgid "Open an issue"
-msgstr "Ανοίξτε ένα ζήτημα"
+msgid "By"
+msgstr "Με"
+
+msgid "By the"
+msgstr "Από το"
 
 msgid "previous page"
 msgstr "προηγούμενη σελίδα"
-
-msgid "Download this page"
-msgstr "Λήψη αυτής της σελίδας"
-
-msgid "Theme by the"
-msgstr "Θέμα από το"
diff --git a/_static/locales/eo/LC_MESSAGES/booktheme.po b/_static/locales/eo/LC_MESSAGES/booktheme.po
index 6749f3a34..4614fe0aa 100644
--- a/_static/locales/eo/LC_MESSAGES/booktheme.po
+++ b/_static/locales/eo/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: eo\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Elŝutu fontodosieron"
+
 msgid "suggest edit"
 msgstr "sugesti redaktadon"
 
-msgid "Last updated on"
-msgstr "Laste ĝisdatigita la"
-
-msgid "Edit this page"
-msgstr "Redaktu ĉi tiun paĝon"
-
-msgid "Launch"
-msgstr "Lanĉo"
-
-msgid "Print to PDF"
-msgstr "Presi al PDF"
+msgid "Toggle navigation"
+msgstr "Ŝalti navigadon"
 
 msgid "open issue"
 msgstr "malferma numero"
@@ -29,47 +23,53 @@ msgstr "malferma numero"
 msgid "Download notebook file"
 msgstr "Elŝutu kajeran dosieron"
 
-msgid "Toggle navigation"
-msgstr "Ŝalti navigadon"
+msgid "repository"
+msgstr "deponejo"
 
-msgid "Source repository"
-msgstr "Fonto-deponejo"
+msgid "Theme by the"
+msgstr "Temo de la"
 
-msgid "By the"
-msgstr "Per la"
+msgid "Print to PDF"
+msgstr "Presi al PDF"
 
-msgid "next page"
-msgstr "sekva paĝo"
+msgid "Download this page"
+msgstr "Elŝutu ĉi tiun paĝon"
 
-msgid "repository"
-msgstr "deponejo"
+msgid "Copyright"
+msgstr "Kopirajto"
+
+msgid "Last updated on"
+msgstr "Laste ĝisdatigita la"
+
+msgid "Launch"
+msgstr "Lanĉo"
+
+msgid "Open an issue"
+msgstr "Malfermu numeron"
+
+msgid "Fullscreen mode"
+msgstr "Plenekrana reĝimo"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksa Libro-Temo"
 
-msgid "Download source file"
-msgstr "Elŝutu fontodosieron"
-
 msgid "Contents"
 msgstr "Enhavo"
 
-msgid "By"
-msgstr "De"
+msgid "Edit this page"
+msgstr "Redaktu ĉi tiun paĝon"
 
-msgid "Copyright"
-msgstr "Kopirajto"
+msgid "next page"
+msgstr "sekva paĝo"
 
-msgid "Fullscreen mode"
-msgstr "Plenekrana reĝimo"
+msgid "Source repository"
+msgstr "Fonto-deponejo"
 
-msgid "Open an issue"
-msgstr "Malfermu numeron"
+msgid "By"
+msgstr "De"
+
+msgid "By the"
+msgstr "Per la"
 
 msgid "previous page"
 msgstr "antaŭa paĝo"
-
-msgid "Download this page"
-msgstr "Elŝutu ĉi tiun paĝon"
-
-msgid "Theme by the"
-msgstr "Temo de la"
diff --git a/_static/locales/es/LC_MESSAGES/booktheme.po b/_static/locales/es/LC_MESSAGES/booktheme.po
index 71dde37f2..b4fccf194 100644
--- a/_static/locales/es/LC_MESSAGES/booktheme.po
+++ b/_static/locales/es/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: es\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Descargar archivo fuente"
+
 msgid "suggest edit"
 msgstr "sugerir editar"
 
-msgid "Last updated on"
-msgstr "Ultima actualización en"
-
-msgid "Edit this page"
-msgstr "Edita esta página"
-
-msgid "Launch"
-msgstr "Lanzamiento"
-
-msgid "Print to PDF"
-msgstr "Imprimir en PDF"
+msgid "Toggle navigation"
+msgstr "Navegación de palanca"
 
 msgid "open issue"
 msgstr "Tema abierto"
@@ -29,47 +23,53 @@ msgstr "Tema abierto"
 msgid "Download notebook file"
 msgstr "Descargar archivo de cuaderno"
 
-msgid "Toggle navigation"
-msgstr "Navegación de palanca"
+msgid "repository"
+msgstr "repositorio"
 
-msgid "Source repository"
-msgstr "Repositorio de origen"
+msgid "Theme by the"
+msgstr "Tema por el"
 
-msgid "By the"
-msgstr "Por el"
+msgid "Print to PDF"
+msgstr "Imprimir en PDF"
 
-msgid "next page"
-msgstr "siguiente página"
+msgid "Download this page"
+msgstr "Descarga esta pagina"
 
-msgid "repository"
-msgstr "repositorio"
+msgid "Copyright"
+msgstr "Derechos de autor"
+
+msgid "Last updated on"
+msgstr "Ultima actualización en"
+
+msgid "Launch"
+msgstr "Lanzamiento"
+
+msgid "Open an issue"
+msgstr "Abrir un problema"
+
+msgid "Fullscreen mode"
+msgstr "Modo de pantalla completa"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del libro de la esfinge"
 
-msgid "Download source file"
-msgstr "Descargar archivo fuente"
-
 msgid "Contents"
 msgstr "Contenido"
 
-msgid "By"
-msgstr "Por"
+msgid "Edit this page"
+msgstr "Edita esta página"
 
-msgid "Copyright"
-msgstr "Derechos de autor"
+msgid "next page"
+msgstr "siguiente página"
 
-msgid "Fullscreen mode"
-msgstr "Modo de pantalla completa"
+msgid "Source repository"
+msgstr "Repositorio de origen"
 
-msgid "Open an issue"
-msgstr "Abrir un problema"
+msgid "By"
+msgstr "Por"
+
+msgid "By the"
+msgstr "Por el"
 
 msgid "previous page"
 msgstr "pagina anterior"
-
-msgid "Download this page"
-msgstr "Descarga esta pagina"
-
-msgid "Theme by the"
-msgstr "Tema por el"
diff --git a/_static/locales/et/LC_MESSAGES/booktheme.po b/_static/locales/et/LC_MESSAGES/booktheme.po
index cdcd07c7d..b748b37f0 100644
--- a/_static/locales/et/LC_MESSAGES/booktheme.po
+++ b/_static/locales/et/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: et\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Laadige alla lähtefail"
+
 msgid "suggest edit"
 msgstr "soovita muuta"
 
-msgid "Last updated on"
-msgstr "Viimati uuendatud"
-
-msgid "Edit this page"
-msgstr "Muutke seda lehte"
-
-msgid "Launch"
-msgstr "Käivitage"
-
-msgid "Print to PDF"
-msgstr "Prindi PDF-i"
+msgid "Toggle navigation"
+msgstr "Lülita navigeerimine sisse"
 
 msgid "open issue"
 msgstr "avatud küsimus"
@@ -29,47 +23,53 @@ msgstr "avatud küsimus"
 msgid "Download notebook file"
 msgstr "Laadige sülearvuti fail alla"
 
-msgid "Toggle navigation"
-msgstr "Lülita navigeerimine sisse"
+msgid "repository"
+msgstr "hoidla"
 
-msgid "Source repository"
-msgstr "Allikahoidla"
+msgid "Theme by the"
+msgstr "Teema"
 
-msgid "By the"
-msgstr "Autor"
+msgid "Print to PDF"
+msgstr "Prindi PDF-i"
 
-msgid "next page"
-msgstr "järgmine leht"
+msgid "Download this page"
+msgstr "Laadige see leht alla"
 
-msgid "repository"
-msgstr "hoidla"
+msgid "Copyright"
+msgstr "Autoriõigus"
+
+msgid "Last updated on"
+msgstr "Viimati uuendatud"
+
+msgid "Launch"
+msgstr "Käivitage"
+
+msgid "Open an issue"
+msgstr "Avage probleem"
+
+msgid "Fullscreen mode"
+msgstr "Täisekraanirežiim"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksiraamatu teema"
 
-msgid "Download source file"
-msgstr "Laadige alla lähtefail"
-
 msgid "Contents"
 msgstr "Sisu"
 
-msgid "By"
-msgstr "Kõrval"
+msgid "Edit this page"
+msgstr "Muutke seda lehte"
 
-msgid "Copyright"
-msgstr "Autoriõigus"
+msgid "next page"
+msgstr "järgmine leht"
 
-msgid "Fullscreen mode"
-msgstr "Täisekraanirežiim"
+msgid "Source repository"
+msgstr "Allikahoidla"
 
-msgid "Open an issue"
-msgstr "Avage probleem"
+msgid "By"
+msgstr "Kõrval"
+
+msgid "By the"
+msgstr "Autor"
 
 msgid "previous page"
 msgstr "eelmine leht"
-
-msgid "Download this page"
-msgstr "Laadige see leht alla"
-
-msgid "Theme by the"
-msgstr "Teema"
diff --git a/_static/locales/fi/LC_MESSAGES/booktheme.po b/_static/locales/fi/LC_MESSAGES/booktheme.po
index 3c3dd0896..f58cf58d3 100644
--- a/_static/locales/fi/LC_MESSAGES/booktheme.po
+++ b/_static/locales/fi/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: fi\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Lataa lähdetiedosto"
+
 msgid "suggest edit"
 msgstr "ehdottaa muokkausta"
 
-msgid "Last updated on"
-msgstr "Viimeksi päivitetty"
-
-msgid "Edit this page"
-msgstr "Muokkaa tätä sivua"
-
-msgid "Launch"
-msgstr "Tuoda markkinoille"
-
-msgid "Print to PDF"
-msgstr "Tulosta PDF-tiedostoon"
+msgid "Toggle navigation"
+msgstr "Vaihda navigointia"
 
 msgid "open issue"
 msgstr "avoin ongelma"
@@ -29,47 +23,53 @@ msgstr "avoin ongelma"
 msgid "Download notebook file"
 msgstr "Lataa muistikirjatiedosto"
 
-msgid "Toggle navigation"
-msgstr "Vaihda navigointia"
+msgid "repository"
+msgstr "arkisto"
 
-msgid "Source repository"
-msgstr "Lähteen arkisto"
+msgid "Theme by the"
+msgstr "Teeman tekijä"
 
-msgid "By the"
-msgstr "Mukaan"
+msgid "Print to PDF"
+msgstr "Tulosta PDF-tiedostoon"
 
-msgid "next page"
-msgstr "seuraava sivu"
+msgid "Download this page"
+msgstr "Lataa tämä sivu"
 
-msgid "repository"
-msgstr "arkisto"
+msgid "Copyright"
+msgstr "Tekijänoikeus"
+
+msgid "Last updated on"
+msgstr "Viimeksi päivitetty"
+
+msgid "Launch"
+msgstr "Tuoda markkinoille"
+
+msgid "Open an issue"
+msgstr "Avaa ongelma"
+
+msgid "Fullscreen mode"
+msgstr "Koko näytön tila"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-kirjan teema"
 
-msgid "Download source file"
-msgstr "Lataa lähdetiedosto"
-
 msgid "Contents"
 msgstr "Sisällys"
 
-msgid "By"
-msgstr "Tekijä"
+msgid "Edit this page"
+msgstr "Muokkaa tätä sivua"
 
-msgid "Copyright"
-msgstr "Tekijänoikeus"
+msgid "next page"
+msgstr "seuraava sivu"
 
-msgid "Fullscreen mode"
-msgstr "Koko näytön tila"
+msgid "Source repository"
+msgstr "Lähteen arkisto"
 
-msgid "Open an issue"
-msgstr "Avaa ongelma"
+msgid "By"
+msgstr "Tekijä"
+
+msgid "By the"
+msgstr "Mukaan"
 
 msgid "previous page"
 msgstr "Edellinen sivu"
-
-msgid "Download this page"
-msgstr "Lataa tämä sivu"
-
-msgid "Theme by the"
-msgstr "Teeman tekijä"
diff --git a/_static/locales/fr/LC_MESSAGES/booktheme.po b/_static/locales/fr/LC_MESSAGES/booktheme.po
index b57d2fe74..8a6c94619 100644
--- a/_static/locales/fr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/fr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: fr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Télécharger le fichier source"
+
 msgid "suggest edit"
 msgstr "suggestion de modification"
 
-msgid "Last updated on"
-msgstr "Dernière mise à jour le"
-
-msgid "Edit this page"
-msgstr "Modifier cette page"
-
-msgid "Launch"
-msgstr "lancement"
-
-msgid "Print to PDF"
-msgstr "Imprimer au format PDF"
+msgid "Toggle navigation"
+msgstr "Basculer la navigation"
 
 msgid "open issue"
 msgstr "signaler un problème"
@@ -29,47 +23,53 @@ msgstr "signaler un problème"
 msgid "Download notebook file"
 msgstr "Télécharger le fichier notebook"
 
-msgid "Toggle navigation"
-msgstr "Basculer la navigation"
+msgid "repository"
+msgstr "dépôt"
 
-msgid "Source repository"
-msgstr "Dépôt source"
+msgid "Theme by the"
+msgstr "Thème par le"
 
-msgid "By the"
-msgstr "Par le"
+msgid "Print to PDF"
+msgstr "Imprimer au format PDF"
 
-msgid "next page"
-msgstr "page suivante"
+msgid "Download this page"
+msgstr "Téléchargez cette page"
 
-msgid "repository"
-msgstr "dépôt"
+msgid "Copyright"
+msgstr "droits d'auteur"
+
+msgid "Last updated on"
+msgstr "Dernière mise à jour le"
+
+msgid "Launch"
+msgstr "lancement"
+
+msgid "Open an issue"
+msgstr "Ouvrez un problème"
+
+msgid "Fullscreen mode"
+msgstr "Mode plein écran"
 
 msgid "Sphinx Book Theme"
 msgstr "Thème du livre Sphinx"
 
-msgid "Download source file"
-msgstr "Télécharger le fichier source"
-
 msgid "Contents"
 msgstr "Contenu"
 
-msgid "By"
-msgstr "Par"
+msgid "Edit this page"
+msgstr "Modifier cette page"
 
-msgid "Copyright"
-msgstr "droits d'auteur"
+msgid "next page"
+msgstr "page suivante"
 
-msgid "Fullscreen mode"
-msgstr "Mode plein écran"
+msgid "Source repository"
+msgstr "Dépôt source"
 
-msgid "Open an issue"
-msgstr "Ouvrez un problème"
+msgid "By"
+msgstr "Par"
+
+msgid "By the"
+msgstr "Par le"
 
 msgid "previous page"
 msgstr "page précédente"
-
-msgid "Download this page"
-msgstr "Téléchargez cette page"
-
-msgid "Theme by the"
-msgstr "Thème par le"
diff --git a/_static/locales/hr/LC_MESSAGES/booktheme.po b/_static/locales/hr/LC_MESSAGES/booktheme.po
index 4c425e89a..4ceb3899f 100644
--- a/_static/locales/hr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/hr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: hr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Preuzmi izvornu datoteku"
+
 msgid "suggest edit"
 msgstr "predloži uređivanje"
 
-msgid "Last updated on"
-msgstr "Posljednje ažuriranje:"
-
-msgid "Edit this page"
-msgstr "Uredite ovu stranicu"
-
-msgid "Launch"
-msgstr "Pokrenite"
-
-msgid "Print to PDF"
-msgstr "Ispis u PDF"
+msgid "Toggle navigation"
+msgstr "Uključi / isključi navigaciju"
 
 msgid "open issue"
 msgstr "otvoreno izdanje"
@@ -29,47 +23,53 @@ msgstr "otvoreno izdanje"
 msgid "Download notebook file"
 msgstr "Preuzmi datoteku bilježnice"
 
-msgid "Toggle navigation"
-msgstr "Uključi / isključi navigaciju"
+msgid "repository"
+msgstr "spremište"
 
-msgid "Source repository"
-msgstr "Izvorno spremište"
+msgid "Theme by the"
+msgstr "Tema autora"
 
-msgid "By the"
-msgstr "Od strane"
+msgid "Print to PDF"
+msgstr "Ispis u PDF"
 
-msgid "next page"
-msgstr "sljedeća stranica"
+msgid "Download this page"
+msgstr "Preuzmite ovu stranicu"
 
-msgid "repository"
-msgstr "spremište"
+msgid "Copyright"
+msgstr "Autorska prava"
+
+msgid "Last updated on"
+msgstr "Posljednje ažuriranje:"
+
+msgid "Launch"
+msgstr "Pokrenite"
+
+msgid "Open an issue"
+msgstr "Otvorite izdanje"
+
+msgid "Fullscreen mode"
+msgstr "Način preko cijelog zaslona"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema knjige Sphinx"
 
-msgid "Download source file"
-msgstr "Preuzmi izvornu datoteku"
-
 msgid "Contents"
 msgstr "Sadržaj"
 
-msgid "By"
-msgstr "Po"
+msgid "Edit this page"
+msgstr "Uredite ovu stranicu"
 
-msgid "Copyright"
-msgstr "Autorska prava"
+msgid "next page"
+msgstr "sljedeća stranica"
 
-msgid "Fullscreen mode"
-msgstr "Način preko cijelog zaslona"
+msgid "Source repository"
+msgstr "Izvorno spremište"
 
-msgid "Open an issue"
-msgstr "Otvorite izdanje"
+msgid "By"
+msgstr "Po"
+
+msgid "By the"
+msgstr "Od strane"
 
 msgid "previous page"
 msgstr "Prethodna stranica"
-
-msgid "Download this page"
-msgstr "Preuzmite ovu stranicu"
-
-msgid "Theme by the"
-msgstr "Tema autora"
diff --git a/_static/locales/id/LC_MESSAGES/booktheme.po b/_static/locales/id/LC_MESSAGES/booktheme.po
index 5db2ae147..1eca59947 100644
--- a/_static/locales/id/LC_MESSAGES/booktheme.po
+++ b/_static/locales/id/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: id\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Unduh file sumber"
+
 msgid "suggest edit"
 msgstr "menyarankan edit"
 
-msgid "Last updated on"
-msgstr "Terakhir diperbarui saat"
-
-msgid "Edit this page"
-msgstr "Edit halaman ini"
-
-msgid "Launch"
-msgstr "Meluncurkan"
-
-msgid "Print to PDF"
-msgstr "Cetak ke PDF"
+msgid "Toggle navigation"
+msgstr "Alihkan navigasi"
 
 msgid "open issue"
 msgstr "masalah terbuka"
@@ -29,47 +23,53 @@ msgstr "masalah terbuka"
 msgid "Download notebook file"
 msgstr "Unduh file notebook"
 
-msgid "Toggle navigation"
-msgstr "Alihkan navigasi"
+msgid "repository"
+msgstr "gudang"
 
-msgid "Source repository"
-msgstr "Repositori sumber"
+msgid "Theme by the"
+msgstr "Tema oleh"
 
-msgid "By the"
-msgstr "Oleh"
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
 
-msgid "next page"
-msgstr "halaman selanjutnya"
+msgid "Download this page"
+msgstr "Unduh halaman ini"
 
-msgid "repository"
-msgstr "gudang"
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Last updated on"
+msgstr "Terakhir diperbarui saat"
+
+msgid "Launch"
+msgstr "Meluncurkan"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
+
+msgid "Fullscreen mode"
+msgstr "Mode layar penuh"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Buku Sphinx"
 
-msgid "Download source file"
-msgstr "Unduh file sumber"
-
 msgid "Contents"
 msgstr "Isi"
 
-msgid "By"
-msgstr "Oleh"
+msgid "Edit this page"
+msgstr "Edit halaman ini"
 
-msgid "Copyright"
-msgstr "hak cipta"
+msgid "next page"
+msgstr "halaman selanjutnya"
 
-msgid "Fullscreen mode"
-msgstr "Mode layar penuh"
+msgid "Source repository"
+msgstr "Repositori sumber"
 
-msgid "Open an issue"
-msgstr "Buka masalah"
+msgid "By"
+msgstr "Oleh"
+
+msgid "By the"
+msgstr "Oleh"
 
 msgid "previous page"
 msgstr "halaman sebelumnya"
-
-msgid "Download this page"
-msgstr "Unduh halaman ini"
-
-msgid "Theme by the"
-msgstr "Tema oleh"
diff --git a/_static/locales/it/LC_MESSAGES/booktheme.po b/_static/locales/it/LC_MESSAGES/booktheme.po
index 7d54fdefa..f3169000c 100644
--- a/_static/locales/it/LC_MESSAGES/booktheme.po
+++ b/_static/locales/it/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: it\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Scarica il file sorgente"
+
 msgid "suggest edit"
 msgstr "suggerisci modifica"
 
-msgid "Last updated on"
-msgstr "Ultimo aggiornamento il"
-
-msgid "Edit this page"
-msgstr "Modifica questa pagina"
-
-msgid "Launch"
-msgstr "Lanciare"
-
-msgid "Print to PDF"
-msgstr "Stampa in PDF"
+msgid "Toggle navigation"
+msgstr "Attiva / disattiva la navigazione"
 
 msgid "open issue"
 msgstr "questione aperta"
@@ -29,47 +23,53 @@ msgstr "questione aperta"
 msgid "Download notebook file"
 msgstr "Scarica il file del taccuino"
 
-msgid "Toggle navigation"
-msgstr "Attiva / disattiva la navigazione"
+msgid "repository"
+msgstr "repository"
 
-msgid "Source repository"
-msgstr "Repository di origine"
+msgid "Theme by the"
+msgstr "Tema di"
 
-msgid "By the"
-msgstr "Dal"
+msgid "Print to PDF"
+msgstr "Stampa in PDF"
 
-msgid "next page"
-msgstr "pagina successiva"
+msgid "Download this page"
+msgstr "Scarica questa pagina"
 
-msgid "repository"
-msgstr "repository"
+msgid "Copyright"
+msgstr "Diritto d'autore"
+
+msgid "Last updated on"
+msgstr "Ultimo aggiornamento il"
+
+msgid "Launch"
+msgstr "Lanciare"
+
+msgid "Open an issue"
+msgstr "Apri un problema"
+
+msgid "Fullscreen mode"
+msgstr "Modalità schermo intero"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del libro della Sfinge"
 
-msgid "Download source file"
-msgstr "Scarica il file sorgente"
-
 msgid "Contents"
 msgstr "Contenuti"
 
-msgid "By"
-msgstr "Di"
+msgid "Edit this page"
+msgstr "Modifica questa pagina"
 
-msgid "Copyright"
-msgstr "Diritto d'autore"
+msgid "next page"
+msgstr "pagina successiva"
 
-msgid "Fullscreen mode"
-msgstr "Modalità schermo intero"
+msgid "Source repository"
+msgstr "Repository di origine"
 
-msgid "Open an issue"
-msgstr "Apri un problema"
+msgid "By"
+msgstr "Di"
+
+msgid "By the"
+msgstr "Dal"
 
 msgid "previous page"
 msgstr "pagina precedente"
-
-msgid "Download this page"
-msgstr "Scarica questa pagina"
-
-msgid "Theme by the"
-msgstr "Tema di"
diff --git a/_static/locales/iw/LC_MESSAGES/booktheme.po b/_static/locales/iw/LC_MESSAGES/booktheme.po
index 32b017cf6..9e6d753e7 100644
--- a/_static/locales/iw/LC_MESSAGES/booktheme.po
+++ b/_static/locales/iw/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: iw\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "הורד את קובץ המקור"
+
 msgid "suggest edit"
 msgstr "מציע לערוך"
 
-msgid "Last updated on"
-msgstr "עודכן לאחרונה ב"
-
-msgid "Edit this page"
-msgstr "ערוך דף זה"
-
-msgid "Launch"
-msgstr "לְהַשִׁיק"
-
-msgid "Print to PDF"
-msgstr "הדפס לקובץ PDF"
+msgid "Toggle navigation"
+msgstr "החלף ניווט"
 
 msgid "open issue"
 msgstr "בעיה פתוחה"
@@ -29,47 +23,53 @@ msgstr "בעיה פתוחה"
 msgid "Download notebook file"
 msgstr "הורד קובץ מחברת"
 
-msgid "Toggle navigation"
-msgstr "החלף ניווט"
+msgid "repository"
+msgstr "מאגר"
 
-msgid "Source repository"
-msgstr "מאגר המקורות"
+msgid "Theme by the"
+msgstr "נושא מאת"
 
-msgid "By the"
-msgstr "דרך"
+msgid "Print to PDF"
+msgstr "הדפס לקובץ PDF"
 
-msgid "next page"
-msgstr "עמוד הבא"
+msgid "Download this page"
+msgstr "הורד דף זה"
 
-msgid "repository"
-msgstr "מאגר"
+msgid "Copyright"
+msgstr "זכויות יוצרים"
+
+msgid "Last updated on"
+msgstr "עודכן לאחרונה ב"
+
+msgid "Launch"
+msgstr "לְהַשִׁיק"
+
+msgid "Open an issue"
+msgstr "פתח גיליון"
+
+msgid "Fullscreen mode"
+msgstr "מצב מסך מלא"
 
 msgid "Sphinx Book Theme"
 msgstr "נושא ספר ספינקס"
 
-msgid "Download source file"
-msgstr "הורד את קובץ המקור"
-
 msgid "Contents"
 msgstr "תוכן"
 
-msgid "By"
-msgstr "על ידי"
+msgid "Edit this page"
+msgstr "ערוך דף זה"
 
-msgid "Copyright"
-msgstr "זכויות יוצרים"
+msgid "next page"
+msgstr "עמוד הבא"
 
-msgid "Fullscreen mode"
-msgstr "מצב מסך מלא"
+msgid "Source repository"
+msgstr "מאגר המקורות"
 
-msgid "Open an issue"
-msgstr "פתח גיליון"
+msgid "By"
+msgstr "על ידי"
+
+msgid "By the"
+msgstr "דרך"
 
 msgid "previous page"
 msgstr "עמוד קודם"
-
-msgid "Download this page"
-msgstr "הורד דף זה"
-
-msgid "Theme by the"
-msgstr "נושא מאת"
diff --git a/_static/locales/ja/LC_MESSAGES/booktheme.po b/_static/locales/ja/LC_MESSAGES/booktheme.po
index 16924e197..c1a314896 100644
--- a/_static/locales/ja/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ja/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ja\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "ソースファイルをダウンロード"
+
 msgid "suggest edit"
 msgstr "編集を提案する"
 
-msgid "Last updated on"
-msgstr "最終更新日"
-
-msgid "Edit this page"
-msgstr "このページを編集"
-
-msgid "Launch"
-msgstr "起動"
-
-msgid "Print to PDF"
-msgstr "PDFに印刷"
+msgid "Toggle navigation"
+msgstr "ナビゲーションを切り替え"
 
 msgid "open issue"
 msgstr "未解決の問題"
@@ -29,47 +23,53 @@ msgstr "未解決の問題"
 msgid "Download notebook file"
 msgstr "ノートブックファイルをダウンロード"
 
-msgid "Toggle navigation"
-msgstr "ナビゲーションを切り替え"
+msgid "repository"
+msgstr "リポジトリ"
 
-msgid "Source repository"
-msgstr "ソースリポジトリ"
+msgid "Theme by the"
+msgstr "のテーマ"
 
-msgid "By the"
-msgstr "によって"
+msgid "Print to PDF"
+msgstr "PDFに印刷"
 
-msgid "next page"
-msgstr "次のページ"
+msgid "Download this page"
+msgstr "このページをダウンロード"
 
-msgid "repository"
-msgstr "リポジトリ"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Last updated on"
+msgstr "最終更新日"
+
+msgid "Launch"
+msgstr "起動"
+
+msgid "Open an issue"
+msgstr "問題を報告"
+
+msgid "Fullscreen mode"
+msgstr "全画面モード"
 
 msgid "Sphinx Book Theme"
 msgstr "スフィンクスの本のテーマ"
 
-msgid "Download source file"
-msgstr "ソースファイルをダウンロード"
-
 msgid "Contents"
 msgstr "目次"
 
-msgid "By"
-msgstr "著者"
+msgid "Edit this page"
+msgstr "このページを編集"
 
-msgid "Copyright"
-msgstr "Copyright"
+msgid "next page"
+msgstr "次のページ"
 
-msgid "Fullscreen mode"
-msgstr "全画面モード"
+msgid "Source repository"
+msgstr "ソースリポジトリ"
 
-msgid "Open an issue"
-msgstr "問題を報告"
+msgid "By"
+msgstr "著者"
+
+msgid "By the"
+msgstr "によって"
 
 msgid "previous page"
 msgstr "前のページ"
-
-msgid "Download this page"
-msgstr "このページをダウンロード"
-
-msgid "Theme by the"
-msgstr "のテーマ"
diff --git a/_static/locales/ko/LC_MESSAGES/booktheme.po b/_static/locales/ko/LC_MESSAGES/booktheme.po
index 69dd18f77..80142313b 100644
--- a/_static/locales/ko/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ko/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ko\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "소스 파일 다운로드"
+
 msgid "suggest edit"
 msgstr "편집 제안"
 
-msgid "Last updated on"
-msgstr "마지막 업데이트"
-
-msgid "Edit this page"
-msgstr "이 페이지 편집"
-
-msgid "Launch"
-msgstr "시작하다"
-
-msgid "Print to PDF"
-msgstr "PDF로 인쇄"
+msgid "Toggle navigation"
+msgstr "탐색 전환"
 
 msgid "open issue"
 msgstr "열린 문제"
@@ -29,47 +23,53 @@ msgstr "열린 문제"
 msgid "Download notebook file"
 msgstr "노트북 파일 다운로드"
 
-msgid "Toggle navigation"
-msgstr "탐색 전환"
+msgid "repository"
+msgstr "저장소"
 
-msgid "Source repository"
-msgstr "소스 저장소"
+msgid "Theme by the"
+msgstr "테마별"
 
-msgid "By the"
-msgstr "에 의해"
+msgid "Print to PDF"
+msgstr "PDF로 인쇄"
 
-msgid "next page"
-msgstr "다음 페이지"
+msgid "Download this page"
+msgstr "이 페이지 다운로드"
 
-msgid "repository"
-msgstr "저장소"
+msgid "Copyright"
+msgstr "저작권"
+
+msgid "Last updated on"
+msgstr "마지막 업데이트"
+
+msgid "Launch"
+msgstr "시작하다"
+
+msgid "Open an issue"
+msgstr "이슈 열기"
+
+msgid "Fullscreen mode"
+msgstr "전체 화면으로보기"
 
 msgid "Sphinx Book Theme"
 msgstr "스핑크스 도서 테마"
 
-msgid "Download source file"
-msgstr "소스 파일 다운로드"
-
 msgid "Contents"
 msgstr "내용"
 
-msgid "By"
-msgstr "으로"
+msgid "Edit this page"
+msgstr "이 페이지 편집"
 
-msgid "Copyright"
-msgstr "저작권"
+msgid "next page"
+msgstr "다음 페이지"
 
-msgid "Fullscreen mode"
-msgstr "전체 화면으로보기"
+msgid "Source repository"
+msgstr "소스 저장소"
 
-msgid "Open an issue"
-msgstr "이슈 열기"
+msgid "By"
+msgstr "으로"
+
+msgid "By the"
+msgstr "에 의해"
 
 msgid "previous page"
 msgstr "이전 페이지"
-
-msgid "Download this page"
-msgstr "이 페이지 다운로드"
-
-msgid "Theme by the"
-msgstr "테마별"
diff --git a/_static/locales/lt/LC_MESSAGES/booktheme.po b/_static/locales/lt/LC_MESSAGES/booktheme.po
index 9f037752c..2e6915a9f 100644
--- a/_static/locales/lt/LC_MESSAGES/booktheme.po
+++ b/_static/locales/lt/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: lt\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Atsisiųsti šaltinio failą"
+
 msgid "suggest edit"
 msgstr "pasiūlyti redaguoti"
 
-msgid "Last updated on"
-msgstr "Paskutinį kartą atnaujinta"
-
-msgid "Edit this page"
-msgstr "Redaguoti šį puslapį"
-
-msgid "Launch"
-msgstr "Paleiskite"
-
-msgid "Print to PDF"
-msgstr "Spausdinti į PDF"
+msgid "Toggle navigation"
+msgstr "Perjungti naršymą"
 
 msgid "open issue"
 msgstr "atviras klausimas"
@@ -29,47 +23,53 @@ msgstr "atviras klausimas"
 msgid "Download notebook file"
 msgstr "Atsisiųsti nešiojamojo kompiuterio failą"
 
-msgid "Toggle navigation"
-msgstr "Perjungti naršymą"
+msgid "repository"
+msgstr "saugykla"
 
-msgid "Source repository"
-msgstr "Šaltinio saugykla"
+msgid "Theme by the"
+msgstr "Tema"
 
-msgid "By the"
-msgstr "Prie"
+msgid "Print to PDF"
+msgstr "Spausdinti į PDF"
 
-msgid "next page"
-msgstr "Kitas puslapis"
+msgid "Download this page"
+msgstr "Atsisiųskite šį puslapį"
 
-msgid "repository"
-msgstr "saugykla"
+msgid "Copyright"
+msgstr "Autorių teisės"
+
+msgid "Last updated on"
+msgstr "Paskutinį kartą atnaujinta"
+
+msgid "Launch"
+msgstr "Paleiskite"
+
+msgid "Open an issue"
+msgstr "Atidarykite problemą"
+
+msgid "Fullscreen mode"
+msgstr "Pilno ekrano režimas"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinkso knygos tema"
 
-msgid "Download source file"
-msgstr "Atsisiųsti šaltinio failą"
-
 msgid "Contents"
 msgstr "Turinys"
 
-msgid "By"
-msgstr "Iki"
+msgid "Edit this page"
+msgstr "Redaguoti šį puslapį"
 
-msgid "Copyright"
-msgstr "Autorių teisės"
+msgid "next page"
+msgstr "Kitas puslapis"
 
-msgid "Fullscreen mode"
-msgstr "Pilno ekrano režimas"
+msgid "Source repository"
+msgstr "Šaltinio saugykla"
 
-msgid "Open an issue"
-msgstr "Atidarykite problemą"
+msgid "By"
+msgstr "Iki"
+
+msgid "By the"
+msgstr "Prie"
 
 msgid "previous page"
 msgstr "Ankstesnis puslapis"
-
-msgid "Download this page"
-msgstr "Atsisiųskite šį puslapį"
-
-msgid "Theme by the"
-msgstr "Tema"
diff --git a/_static/locales/lv/LC_MESSAGES/booktheme.po b/_static/locales/lv/LC_MESSAGES/booktheme.po
index c9633b545..d4f4b1507 100644
--- a/_static/locales/lv/LC_MESSAGES/booktheme.po
+++ b/_static/locales/lv/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: lv\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Lejupielādēt avota failu"
+
 msgid "suggest edit"
 msgstr "ieteikt rediģēt"
 
-msgid "Last updated on"
-msgstr "Pēdējoreiz atjaunināts"
-
-msgid "Edit this page"
-msgstr "Rediģēt šo lapu"
-
-msgid "Launch"
-msgstr "Uzsākt"
-
-msgid "Print to PDF"
-msgstr "Drukāt PDF formātā"
+msgid "Toggle navigation"
+msgstr "Pārslēgt navigāciju"
 
 msgid "open issue"
 msgstr "atklāts jautājums"
@@ -29,47 +23,53 @@ msgstr "atklāts jautājums"
 msgid "Download notebook file"
 msgstr "Lejupielādēt piezīmju grāmatiņu"
 
-msgid "Toggle navigation"
-msgstr "Pārslēgt navigāciju"
+msgid "repository"
+msgstr "krātuve"
 
-msgid "Source repository"
-msgstr "Avota krātuve"
+msgid "Theme by the"
+msgstr "Autora tēma"
 
-msgid "By the"
-msgstr "Ar"
+msgid "Print to PDF"
+msgstr "Drukāt PDF formātā"
 
-msgid "next page"
-msgstr "nākamā lapaspuse"
+msgid "Download this page"
+msgstr "Lejupielādējiet šo lapu"
 
-msgid "repository"
-msgstr "krātuve"
+msgid "Copyright"
+msgstr "Autortiesības"
+
+msgid "Last updated on"
+msgstr "Pēdējoreiz atjaunināts"
+
+msgid "Launch"
+msgstr "Uzsākt"
+
+msgid "Open an issue"
+msgstr "Atveriet problēmu"
+
+msgid "Fullscreen mode"
+msgstr "Pilnekrāna režīms"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksa grāmatas tēma"
 
-msgid "Download source file"
-msgstr "Lejupielādēt avota failu"
-
 msgid "Contents"
 msgstr "Saturs"
 
-msgid "By"
-msgstr "Autors"
+msgid "Edit this page"
+msgstr "Rediģēt šo lapu"
 
-msgid "Copyright"
-msgstr "Autortiesības"
+msgid "next page"
+msgstr "nākamā lapaspuse"
 
-msgid "Fullscreen mode"
-msgstr "Pilnekrāna režīms"
+msgid "Source repository"
+msgstr "Avota krātuve"
 
-msgid "Open an issue"
-msgstr "Atveriet problēmu"
+msgid "By"
+msgstr "Autors"
+
+msgid "By the"
+msgstr "Ar"
 
 msgid "previous page"
 msgstr "iepriekšējā lapa"
-
-msgid "Download this page"
-msgstr "Lejupielādējiet šo lapu"
-
-msgid "Theme by the"
-msgstr "Autora tēma"
diff --git a/_static/locales/ml/LC_MESSAGES/booktheme.po b/_static/locales/ml/LC_MESSAGES/booktheme.po
index 9a6a41e8e..5d8ed33b6 100644
--- a/_static/locales/ml/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ml/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ml\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
+
 msgid "suggest edit"
 msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
 
-msgid "Last updated on"
-msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
-
-msgid "Edit this page"
-msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
-
-msgid "Launch"
-msgstr "സമാരംഭിക്കുക"
-
-msgid "Print to PDF"
-msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
+msgid "Toggle navigation"
+msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
 
 msgid "open issue"
 msgstr "തുറന്ന പ്രശ്നം"
@@ -29,38 +23,44 @@ msgstr "തുറന്ന പ്രശ്നം"
 msgid "Download notebook file"
 msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക"
 
-msgid "Toggle navigation"
-msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
+msgid "Theme by the"
+msgstr "പ്രമേയം"
 
-msgid "Source repository"
-msgstr "ഉറവിട ശേഖരം"
+msgid "Print to PDF"
+msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
 
-msgid "By the"
-msgstr "എഴുതിയത്"
+msgid "Download this page"
+msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
 
-msgid "next page"
-msgstr "അടുത്ത പേജ്"
+msgid "Copyright"
+msgstr "പകർപ്പവകാശം"
+
+msgid "Last updated on"
+msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
+
+msgid "Launch"
+msgstr "സമാരംഭിക്കുക"
+
+msgid "Open an issue"
+msgstr "ഒരു പ്രശ്നം തുറക്കുക"
 
 msgid "Sphinx Book Theme"
 msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം"
 
-msgid "Download source file"
-msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
+msgid "Edit this page"
+msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
+
+msgid "next page"
+msgstr "അടുത്ത പേജ്"
+
+msgid "Source repository"
+msgstr "ഉറവിട ശേഖരം"
 
 msgid "By"
 msgstr "എഴുതിയത്"
 
-msgid "Copyright"
-msgstr "പകർപ്പവകാശം"
-
-msgid "Open an issue"
-msgstr "ഒരു പ്രശ്നം തുറക്കുക"
+msgid "By the"
+msgstr "എഴുതിയത്"
 
 msgid "previous page"
 msgstr "മുൻപത്തെ താൾ"
-
-msgid "Download this page"
-msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
-
-msgid "Theme by the"
-msgstr "പ്രമേയം"
diff --git a/_static/locales/mr/LC_MESSAGES/booktheme.po b/_static/locales/mr/LC_MESSAGES/booktheme.po
index ef72d8c6b..64389fac9 100644
--- a/_static/locales/mr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/mr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: mr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "स्त्रोत फाइल डाउनलोड करा"
+
 msgid "suggest edit"
 msgstr "संपादन सुचवा"
 
-msgid "Last updated on"
-msgstr "अखेरचे अद्यतनित"
-
-msgid "Edit this page"
-msgstr "हे पृष्ठ संपादित करा"
-
-msgid "Launch"
-msgstr "लाँच करा"
-
-msgid "Print to PDF"
-msgstr "पीडीएफवर मुद्रित करा"
+msgid "Toggle navigation"
+msgstr "नेव्हिगेशन टॉगल करा"
 
 msgid "open issue"
 msgstr "खुला मुद्दा"
@@ -29,38 +23,44 @@ msgstr "खुला मुद्दा"
 msgid "Download notebook file"
 msgstr "नोटबुक फाईल डाउनलोड करा"
 
-msgid "Toggle navigation"
-msgstr "नेव्हिगेशन टॉगल करा"
+msgid "Theme by the"
+msgstr "द्वारा थीम"
 
-msgid "Source repository"
-msgstr "स्त्रोत भांडार"
+msgid "Print to PDF"
+msgstr "पीडीएफवर मुद्रित करा"
 
-msgid "By the"
-msgstr "द्वारा"
+msgid "Download this page"
+msgstr "हे पृष्ठ डाउनलोड करा"
 
-msgid "next page"
-msgstr "पुढील पृष्ठ"
+msgid "Copyright"
+msgstr "कॉपीराइट"
+
+msgid "Last updated on"
+msgstr "अखेरचे अद्यतनित"
+
+msgid "Launch"
+msgstr "लाँच करा"
+
+msgid "Open an issue"
+msgstr "एक मुद्दा उघडा"
 
 msgid "Sphinx Book Theme"
 msgstr "स्फिंक्स बुक थीम"
 
-msgid "Download source file"
-msgstr "स्त्रोत फाइल डाउनलोड करा"
+msgid "Edit this page"
+msgstr "हे पृष्ठ संपादित करा"
+
+msgid "next page"
+msgstr "पुढील पृष्ठ"
+
+msgid "Source repository"
+msgstr "स्त्रोत भांडार"
 
 msgid "By"
 msgstr "द्वारा"
 
-msgid "Copyright"
-msgstr "कॉपीराइट"
-
-msgid "Open an issue"
-msgstr "एक मुद्दा उघडा"
+msgid "By the"
+msgstr "द्वारा"
 
 msgid "previous page"
 msgstr "मागील पान"
-
-msgid "Download this page"
-msgstr "हे पृष्ठ डाउनलोड करा"
-
-msgid "Theme by the"
-msgstr "द्वारा थीम"
diff --git a/_static/locales/ms/LC_MESSAGES/booktheme.po b/_static/locales/ms/LC_MESSAGES/booktheme.po
index e29cbe2ec..4365ff549 100644
--- a/_static/locales/ms/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ms/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ms\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Muat turun fail sumber"
+
 msgid "suggest edit"
 msgstr "cadangkan edit"
 
-msgid "Last updated on"
-msgstr "Terakhir dikemas kini pada"
-
-msgid "Edit this page"
-msgstr "Edit halaman ini"
-
-msgid "Launch"
-msgstr "Lancarkan"
-
-msgid "Print to PDF"
-msgstr "Cetak ke PDF"
+msgid "Toggle navigation"
+msgstr "Togol navigasi"
 
 msgid "open issue"
 msgstr "isu terbuka"
@@ -29,38 +23,44 @@ msgstr "isu terbuka"
 msgid "Download notebook file"
 msgstr "Muat turun fail buku nota"
 
-msgid "Toggle navigation"
-msgstr "Togol navigasi"
+msgid "Theme by the"
+msgstr "Tema oleh"
 
-msgid "Source repository"
-msgstr "Repositori sumber"
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
 
-msgid "By the"
-msgstr "Oleh"
+msgid "Download this page"
+msgstr "Muat turun halaman ini"
 
-msgid "next page"
-msgstr "muka surat seterusnya"
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Last updated on"
+msgstr "Terakhir dikemas kini pada"
+
+msgid "Launch"
+msgstr "Lancarkan"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Buku Sphinx"
 
-msgid "Download source file"
-msgstr "Muat turun fail sumber"
+msgid "Edit this page"
+msgstr "Edit halaman ini"
+
+msgid "next page"
+msgstr "muka surat seterusnya"
+
+msgid "Source repository"
+msgstr "Repositori sumber"
 
 msgid "By"
 msgstr "Oleh"
 
-msgid "Copyright"
-msgstr "hak cipta"
-
-msgid "Open an issue"
-msgstr "Buka masalah"
+msgid "By the"
+msgstr "Oleh"
 
 msgid "previous page"
 msgstr "halaman sebelumnya"
-
-msgid "Download this page"
-msgstr "Muat turun halaman ini"
-
-msgid "Theme by the"
-msgstr "Tema oleh"
diff --git a/_static/locales/nl/LC_MESSAGES/booktheme.po b/_static/locales/nl/LC_MESSAGES/booktheme.po
index e4844d7c9..f7b18e5d5 100644
--- a/_static/locales/nl/LC_MESSAGES/booktheme.po
+++ b/_static/locales/nl/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: nl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Download het bronbestand"
+
 msgid "suggest edit"
 msgstr "suggereren bewerken"
 
-msgid "Last updated on"
-msgstr "Laatst geupdate op"
-
-msgid "Edit this page"
-msgstr "bewerk deze pagina"
-
-msgid "Launch"
-msgstr "Lancering"
-
-msgid "Print to PDF"
-msgstr "Afdrukken naar pdf"
+msgid "Toggle navigation"
+msgstr "Schakel navigatie"
 
 msgid "open issue"
 msgstr "open probleem"
@@ -29,47 +23,53 @@ msgstr "open probleem"
 msgid "Download notebook file"
 msgstr "Download notebookbestand"
 
-msgid "Toggle navigation"
-msgstr "Schakel navigatie"
+msgid "repository"
+msgstr "repository"
 
-msgid "Source repository"
-msgstr "Bronopslagplaats"
+msgid "Theme by the"
+msgstr "Thema door de"
 
-msgid "By the"
-msgstr "Door de"
+msgid "Print to PDF"
+msgstr "Afdrukken naar pdf"
 
-msgid "next page"
-msgstr "volgende bladzijde"
+msgid "Download this page"
+msgstr "Download deze pagina"
 
-msgid "repository"
-msgstr "repository"
+msgid "Copyright"
+msgstr "auteursrechten"
+
+msgid "Last updated on"
+msgstr "Laatst geupdate op"
+
+msgid "Launch"
+msgstr "Lancering"
+
+msgid "Open an issue"
+msgstr "Open een probleem"
+
+msgid "Fullscreen mode"
+msgstr "Volledig scherm"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-boekthema"
 
-msgid "Download source file"
-msgstr "Download het bronbestand"
-
 msgid "Contents"
 msgstr "Inhoud"
 
-msgid "By"
-msgstr "Door"
+msgid "Edit this page"
+msgstr "bewerk deze pagina"
 
-msgid "Copyright"
-msgstr "auteursrechten"
+msgid "next page"
+msgstr "volgende bladzijde"
 
-msgid "Fullscreen mode"
-msgstr "Volledig scherm"
+msgid "Source repository"
+msgstr "Bronopslagplaats"
 
-msgid "Open an issue"
-msgstr "Open een probleem"
+msgid "By"
+msgstr "Door"
+
+msgid "By the"
+msgstr "Door de"
 
 msgid "previous page"
 msgstr "vorige pagina"
-
-msgid "Download this page"
-msgstr "Download deze pagina"
-
-msgid "Theme by the"
-msgstr "Thema door de"
diff --git a/_static/locales/no/LC_MESSAGES/booktheme.po b/_static/locales/no/LC_MESSAGES/booktheme.po
index d079dd9b0..274823a86 100644
--- a/_static/locales/no/LC_MESSAGES/booktheme.po
+++ b/_static/locales/no/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: no\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Last ned kildefilen"
+
 msgid "suggest edit"
 msgstr "foreslå redigering"
 
-msgid "Last updated on"
-msgstr "Sist oppdatert den"
-
-msgid "Edit this page"
-msgstr "Rediger denne siden"
-
-msgid "Launch"
-msgstr "Start"
-
-msgid "Print to PDF"
-msgstr "Skriv ut til PDF"
+msgid "Toggle navigation"
+msgstr "Bytt navigasjon"
 
 msgid "open issue"
 msgstr "åpent nummer"
@@ -29,47 +23,53 @@ msgstr "åpent nummer"
 msgid "Download notebook file"
 msgstr "Last ned notatbokfilen"
 
-msgid "Toggle navigation"
-msgstr "Bytt navigasjon"
+msgid "repository"
+msgstr "oppbevaringssted"
 
-msgid "Source repository"
-msgstr "Kildedepot"
+msgid "Theme by the"
+msgstr "Tema av"
 
-msgid "By the"
-msgstr "Ved"
+msgid "Print to PDF"
+msgstr "Skriv ut til PDF"
 
-msgid "next page"
-msgstr "neste side"
+msgid "Download this page"
+msgstr "Last ned denne siden"
 
-msgid "repository"
-msgstr "oppbevaringssted"
+msgid "Copyright"
+msgstr "opphavsrett"
+
+msgid "Last updated on"
+msgstr "Sist oppdatert den"
+
+msgid "Launch"
+msgstr "Start"
+
+msgid "Open an issue"
+msgstr "Åpne et problem"
+
+msgid "Fullscreen mode"
+msgstr "Fullskjerm-modus"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx boktema"
 
-msgid "Download source file"
-msgstr "Last ned kildefilen"
-
 msgid "Contents"
 msgstr "Innhold"
 
-msgid "By"
-msgstr "Av"
+msgid "Edit this page"
+msgstr "Rediger denne siden"
 
-msgid "Copyright"
-msgstr "opphavsrett"
+msgid "next page"
+msgstr "neste side"
 
-msgid "Fullscreen mode"
-msgstr "Fullskjerm-modus"
+msgid "Source repository"
+msgstr "Kildedepot"
 
-msgid "Open an issue"
-msgstr "Åpne et problem"
+msgid "By"
+msgstr "Av"
+
+msgid "By the"
+msgstr "Ved"
 
 msgid "previous page"
 msgstr "forrige side"
-
-msgid "Download this page"
-msgstr "Last ned denne siden"
-
-msgid "Theme by the"
-msgstr "Tema av"
diff --git a/_static/locales/pl/LC_MESSAGES/booktheme.po b/_static/locales/pl/LC_MESSAGES/booktheme.po
index fcac51d32..dfba3f698 100644
--- a/_static/locales/pl/LC_MESSAGES/booktheme.po
+++ b/_static/locales/pl/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: pl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Pobierz plik źródłowy"
+
 msgid "suggest edit"
 msgstr "zaproponuj edycję"
 
-msgid "Last updated on"
-msgstr "Ostatnia aktualizacja"
-
-msgid "Edit this page"
-msgstr "Edytuj tę strone"
-
-msgid "Launch"
-msgstr "Uruchomić"
-
-msgid "Print to PDF"
-msgstr "Drukuj do PDF"
+msgid "Toggle navigation"
+msgstr "Przełącz nawigację"
 
 msgid "open issue"
 msgstr "otwarty problem"
@@ -29,47 +23,53 @@ msgstr "otwarty problem"
 msgid "Download notebook file"
 msgstr "Pobierz plik notatnika"
 
-msgid "Toggle navigation"
-msgstr "Przełącz nawigację"
+msgid "repository"
+msgstr "magazyn"
 
-msgid "Source repository"
-msgstr "Repozytorium źródłowe"
+msgid "Theme by the"
+msgstr "Motyw autorstwa"
 
-msgid "By the"
-msgstr "Przez"
+msgid "Print to PDF"
+msgstr "Drukuj do PDF"
 
-msgid "next page"
-msgstr "Następna strona"
+msgid "Download this page"
+msgstr "Pobierz tę stronę"
 
-msgid "repository"
-msgstr "magazyn"
+msgid "Copyright"
+msgstr "prawa autorskie"
+
+msgid "Last updated on"
+msgstr "Ostatnia aktualizacja"
+
+msgid "Launch"
+msgstr "Uruchomić"
+
+msgid "Open an issue"
+msgstr "Otwórz problem"
+
+msgid "Fullscreen mode"
+msgstr "Pełny ekran"
 
 msgid "Sphinx Book Theme"
 msgstr "Motyw książki Sphinx"
 
-msgid "Download source file"
-msgstr "Pobierz plik źródłowy"
-
 msgid "Contents"
 msgstr "Zawartość"
 
-msgid "By"
-msgstr "Przez"
+msgid "Edit this page"
+msgstr "Edytuj tę strone"
 
-msgid "Copyright"
-msgstr "prawa autorskie"
+msgid "next page"
+msgstr "Następna strona"
 
-msgid "Fullscreen mode"
-msgstr "Pełny ekran"
+msgid "Source repository"
+msgstr "Repozytorium źródłowe"
 
-msgid "Open an issue"
-msgstr "Otwórz problem"
+msgid "By"
+msgstr "Przez"
+
+msgid "By the"
+msgstr "Przez"
 
 msgid "previous page"
 msgstr "Poprzednia strona"
-
-msgid "Download this page"
-msgstr "Pobierz tę stronę"
-
-msgid "Theme by the"
-msgstr "Motyw autorstwa"
diff --git a/_static/locales/pt/LC_MESSAGES/booktheme.po b/_static/locales/pt/LC_MESSAGES/booktheme.po
index 1761db08a..4c24eb9e2 100644
--- a/_static/locales/pt/LC_MESSAGES/booktheme.po
+++ b/_static/locales/pt/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: pt\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Baixar arquivo fonte"
+
 msgid "suggest edit"
 msgstr "sugerir edição"
 
-msgid "Last updated on"
-msgstr "Última atualização em"
-
-msgid "Edit this page"
-msgstr "Edite essa página"
-
-msgid "Launch"
-msgstr "Lançamento"
-
-msgid "Print to PDF"
-msgstr "Imprimir em PDF"
+msgid "Toggle navigation"
+msgstr "Alternar de navegação"
 
 msgid "open issue"
 msgstr "questão aberta"
@@ -29,47 +23,53 @@ msgstr "questão aberta"
 msgid "Download notebook file"
 msgstr "Baixar arquivo de notebook"
 
-msgid "Toggle navigation"
-msgstr "Alternar de navegação"
+msgid "repository"
+msgstr "repositório"
 
-msgid "Source repository"
-msgstr "Repositório fonte"
+msgid "Theme by the"
+msgstr "Tema por"
 
-msgid "By the"
-msgstr "Pelo"
+msgid "Print to PDF"
+msgstr "Imprimir em PDF"
 
-msgid "next page"
-msgstr "próxima página"
+msgid "Download this page"
+msgstr "Baixe esta página"
 
-msgid "repository"
-msgstr "repositório"
+msgid "Copyright"
+msgstr "direito autoral"
+
+msgid "Last updated on"
+msgstr "Última atualização em"
+
+msgid "Launch"
+msgstr "Lançamento"
+
+msgid "Open an issue"
+msgstr "Abra um problema"
+
+msgid "Fullscreen mode"
+msgstr "Modo tela cheia"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema do livro Sphinx"
 
-msgid "Download source file"
-msgstr "Baixar arquivo fonte"
-
 msgid "Contents"
 msgstr "Conteúdo"
 
-msgid "By"
-msgstr "De"
+msgid "Edit this page"
+msgstr "Edite essa página"
 
-msgid "Copyright"
-msgstr "direito autoral"
+msgid "next page"
+msgstr "próxima página"
 
-msgid "Fullscreen mode"
-msgstr "Modo tela cheia"
+msgid "Source repository"
+msgstr "Repositório fonte"
 
-msgid "Open an issue"
-msgstr "Abra um problema"
+msgid "By"
+msgstr "De"
+
+msgid "By the"
+msgstr "Pelo"
 
 msgid "previous page"
 msgstr "página anterior"
-
-msgid "Download this page"
-msgstr "Baixe esta página"
-
-msgid "Theme by the"
-msgstr "Tema por"
diff --git a/_static/locales/ro/LC_MESSAGES/booktheme.po b/_static/locales/ro/LC_MESSAGES/booktheme.po
index db865c8f6..5f03d9cdb 100644
--- a/_static/locales/ro/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ro/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ro\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Descărcați fișierul sursă"
+
 msgid "suggest edit"
 msgstr "sugerează editare"
 
-msgid "Last updated on"
-msgstr "Ultima actualizare la"
-
-msgid "Edit this page"
-msgstr "Editați această pagină"
-
-msgid "Launch"
-msgstr "Lansa"
-
-msgid "Print to PDF"
-msgstr "Imprimați în PDF"
+msgid "Toggle navigation"
+msgstr "Comutare navigare"
 
 msgid "open issue"
 msgstr "problema deschisă"
@@ -29,47 +23,53 @@ msgstr "problema deschisă"
 msgid "Download notebook file"
 msgstr "Descărcați fișierul notebook"
 
-msgid "Toggle navigation"
-msgstr "Comutare navigare"
+msgid "repository"
+msgstr "repertoriu"
 
-msgid "Source repository"
-msgstr "Depozit sursă"
+msgid "Theme by the"
+msgstr "Tema de"
 
-msgid "By the"
-msgstr "Langa"
+msgid "Print to PDF"
+msgstr "Imprimați în PDF"
 
-msgid "next page"
-msgstr "pagina următoare"
+msgid "Download this page"
+msgstr "Descarcă această pagină"
 
-msgid "repository"
-msgstr "repertoriu"
+msgid "Copyright"
+msgstr "Drepturi de autor"
+
+msgid "Last updated on"
+msgstr "Ultima actualizare la"
+
+msgid "Launch"
+msgstr "Lansa"
+
+msgid "Open an issue"
+msgstr "Deschideți o problemă"
+
+msgid "Fullscreen mode"
+msgstr "Modul ecran întreg"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Sphinx Book"
 
-msgid "Download source file"
-msgstr "Descărcați fișierul sursă"
-
 msgid "Contents"
 msgstr "Cuprins"
 
-msgid "By"
-msgstr "De"
+msgid "Edit this page"
+msgstr "Editați această pagină"
 
-msgid "Copyright"
-msgstr "Drepturi de autor"
+msgid "next page"
+msgstr "pagina următoare"
 
-msgid "Fullscreen mode"
-msgstr "Modul ecran întreg"
+msgid "Source repository"
+msgstr "Depozit sursă"
 
-msgid "Open an issue"
-msgstr "Deschideți o problemă"
+msgid "By"
+msgstr "De"
+
+msgid "By the"
+msgstr "Langa"
 
 msgid "previous page"
 msgstr "pagina anterioară"
-
-msgid "Download this page"
-msgstr "Descarcă această pagină"
-
-msgid "Theme by the"
-msgstr "Tema de"
diff --git a/_static/locales/ru/LC_MESSAGES/booktheme.po b/_static/locales/ru/LC_MESSAGES/booktheme.po
index 84ab6eb53..2886570d0 100644
--- a/_static/locales/ru/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ru/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ru\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Скачать исходный файл"
+
 msgid "suggest edit"
 msgstr "предложить редактировать"
 
-msgid "Last updated on"
-msgstr "Последнее обновление"
-
-msgid "Edit this page"
-msgstr "Редактировать эту страницу"
-
-msgid "Launch"
-msgstr "Запуск"
-
-msgid "Print to PDF"
-msgstr "Распечатать в PDF"
+msgid "Toggle navigation"
+msgstr "Переключить навигацию"
 
 msgid "open issue"
 msgstr "открытый вопрос"
@@ -29,47 +23,53 @@ msgstr "открытый вопрос"
 msgid "Download notebook file"
 msgstr "Скачать файл записной книжки"
 
-msgid "Toggle navigation"
-msgstr "Переключить навигацию"
+msgid "repository"
+msgstr "хранилище"
 
-msgid "Source repository"
-msgstr "Исходный репозиторий"
+msgid "Theme by the"
+msgstr "Тема от"
 
-msgid "By the"
-msgstr "Посредством"
+msgid "Print to PDF"
+msgstr "Распечатать в PDF"
 
-msgid "next page"
-msgstr "Следующая страница"
+msgid "Download this page"
+msgstr "Загрузите эту страницу"
 
-msgid "repository"
-msgstr "хранилище"
+msgid "Copyright"
+msgstr "авторское право"
+
+msgid "Last updated on"
+msgstr "Последнее обновление"
+
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Open an issue"
+msgstr "Открыть вопрос"
+
+msgid "Fullscreen mode"
+msgstr "Полноэкранный режим"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема книги Сфинкс"
 
-msgid "Download source file"
-msgstr "Скачать исходный файл"
-
 msgid "Contents"
 msgstr "Содержание"
 
-msgid "By"
-msgstr "По"
+msgid "Edit this page"
+msgstr "Редактировать эту страницу"
 
-msgid "Copyright"
-msgstr "авторское право"
+msgid "next page"
+msgstr "Следующая страница"
 
-msgid "Fullscreen mode"
-msgstr "Полноэкранный режим"
+msgid "Source repository"
+msgstr "Исходный репозиторий"
 
-msgid "Open an issue"
-msgstr "Открыть вопрос"
+msgid "By"
+msgstr "По"
+
+msgid "By the"
+msgstr "Посредством"
 
 msgid "previous page"
 msgstr "Предыдущая страница"
-
-msgid "Download this page"
-msgstr "Загрузите эту страницу"
-
-msgid "Theme by the"
-msgstr "Тема от"
diff --git a/_static/locales/sk/LC_MESSAGES/booktheme.po b/_static/locales/sk/LC_MESSAGES/booktheme.po
index e44878b50..25517aa5a 100644
--- a/_static/locales/sk/LC_MESSAGES/booktheme.po
+++ b/_static/locales/sk/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: sk\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Stiahnite si zdrojový súbor"
+
 msgid "suggest edit"
 msgstr "navrhnúť úpravu"
 
-msgid "Last updated on"
-msgstr "Posledná aktualizácia dňa"
-
-msgid "Edit this page"
-msgstr "Upraviť túto stránku"
-
-msgid "Launch"
-msgstr "Spustiť"
-
-msgid "Print to PDF"
-msgstr "Tlač do PDF"
+msgid "Toggle navigation"
+msgstr "Prepnúť navigáciu"
 
 msgid "open issue"
 msgstr "otvorené vydanie"
@@ -29,47 +23,53 @@ msgstr "otvorené vydanie"
 msgid "Download notebook file"
 msgstr "Stiahnite si zošit"
 
-msgid "Toggle navigation"
-msgstr "Prepnúť navigáciu"
+msgid "repository"
+msgstr "Úložisko"
 
-msgid "Source repository"
-msgstr "Zdrojové úložisko"
+msgid "Theme by the"
+msgstr "Téma od"
 
-msgid "By the"
-msgstr "Podľa"
+msgid "Print to PDF"
+msgstr "Tlač do PDF"
 
-msgid "next page"
-msgstr "ďalšia strana"
+msgid "Download this page"
+msgstr "Stiahnite si túto stránku"
 
-msgid "repository"
-msgstr "Úložisko"
+msgid "Copyright"
+msgstr "Autorské práva"
+
+msgid "Last updated on"
+msgstr "Posledná aktualizácia dňa"
+
+msgid "Launch"
+msgstr "Spustiť"
+
+msgid "Open an issue"
+msgstr "Otvorte problém"
+
+msgid "Fullscreen mode"
+msgstr "Režim celej obrazovky"
 
 msgid "Sphinx Book Theme"
 msgstr "Téma knihy Sfinga"
 
-msgid "Download source file"
-msgstr "Stiahnite si zdrojový súbor"
-
 msgid "Contents"
 msgstr "Obsah"
 
-msgid "By"
-msgstr "Autor:"
+msgid "Edit this page"
+msgstr "Upraviť túto stránku"
 
-msgid "Copyright"
-msgstr "Autorské práva"
+msgid "next page"
+msgstr "ďalšia strana"
 
-msgid "Fullscreen mode"
-msgstr "Režim celej obrazovky"
+msgid "Source repository"
+msgstr "Zdrojové úložisko"
 
-msgid "Open an issue"
-msgstr "Otvorte problém"
+msgid "By"
+msgstr "Autor:"
+
+msgid "By the"
+msgstr "Podľa"
 
 msgid "previous page"
 msgstr "predchádzajúca strana"
-
-msgid "Download this page"
-msgstr "Stiahnite si túto stránku"
-
-msgid "Theme by the"
-msgstr "Téma od"
diff --git a/_static/locales/sl/LC_MESSAGES/booktheme.po b/_static/locales/sl/LC_MESSAGES/booktheme.po
index 228939bcd..346c36484 100644
--- a/_static/locales/sl/LC_MESSAGES/booktheme.po
+++ b/_static/locales/sl/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: sl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Prenesite izvorno datoteko"
+
 msgid "suggest edit"
 msgstr "predlagajte urejanje"
 
-msgid "Last updated on"
-msgstr "Nazadnje posodobljeno dne"
-
-msgid "Edit this page"
-msgstr "Uredite to stran"
-
-msgid "Launch"
-msgstr "Kosilo"
-
-msgid "Print to PDF"
-msgstr "Natisni v PDF"
+msgid "Toggle navigation"
+msgstr "Preklopi navigacijo"
 
 msgid "open issue"
 msgstr "odprto vprašanje"
@@ -29,47 +23,53 @@ msgstr "odprto vprašanje"
 msgid "Download notebook file"
 msgstr "Prenesite datoteko zvezka"
 
-msgid "Toggle navigation"
-msgstr "Preklopi navigacijo"
+msgid "repository"
+msgstr "odlagališče"
 
-msgid "Source repository"
-msgstr "Izvorno skladišče"
+msgid "Theme by the"
+msgstr "Tema avtorja"
 
-msgid "By the"
-msgstr "Avtor"
+msgid "Print to PDF"
+msgstr "Natisni v PDF"
 
-msgid "next page"
-msgstr "Naslednja stran"
+msgid "Download this page"
+msgstr "Prenesite to stran"
 
-msgid "repository"
-msgstr "odlagališče"
+msgid "Copyright"
+msgstr "avtorske pravice"
+
+msgid "Last updated on"
+msgstr "Nazadnje posodobljeno dne"
+
+msgid "Launch"
+msgstr "Kosilo"
+
+msgid "Open an issue"
+msgstr "Odprite številko"
+
+msgid "Fullscreen mode"
+msgstr "Celozaslonski način"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema knjige Sphinx"
 
-msgid "Download source file"
-msgstr "Prenesite izvorno datoteko"
-
 msgid "Contents"
 msgstr "Vsebina"
 
-msgid "By"
-msgstr "Avtor"
+msgid "Edit this page"
+msgstr "Uredite to stran"
 
-msgid "Copyright"
-msgstr "avtorske pravice"
+msgid "next page"
+msgstr "Naslednja stran"
 
-msgid "Fullscreen mode"
-msgstr "Celozaslonski način"
+msgid "Source repository"
+msgstr "Izvorno skladišče"
 
-msgid "Open an issue"
-msgstr "Odprite številko"
+msgid "By"
+msgstr "Avtor"
+
+msgid "By the"
+msgstr "Avtor"
 
 msgid "previous page"
 msgstr "Prejšnja stran"
-
-msgid "Download this page"
-msgstr "Prenesite to stran"
-
-msgid "Theme by the"
-msgstr "Tema avtorja"
diff --git a/_static/locales/sr/LC_MESSAGES/booktheme.po b/_static/locales/sr/LC_MESSAGES/booktheme.po
index 1a712a18d..b1a97adac 100644
--- a/_static/locales/sr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/sr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: sr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Преузми изворну датотеку"
+
 msgid "suggest edit"
 msgstr "предложи уређивање"
 
-msgid "Last updated on"
-msgstr "Последње ажурирање"
-
-msgid "Edit this page"
-msgstr "Уредите ову страницу"
-
-msgid "Launch"
-msgstr "Лансирање"
-
-msgid "Print to PDF"
-msgstr "Испис у ПДФ"
+msgid "Toggle navigation"
+msgstr "Укључи / искључи навигацију"
 
 msgid "open issue"
 msgstr "отворено издање"
@@ -29,47 +23,53 @@ msgstr "отворено издање"
 msgid "Download notebook file"
 msgstr "Преузмите датотеку бележнице"
 
-msgid "Toggle navigation"
-msgstr "Укључи / искључи навигацију"
+msgid "repository"
+msgstr "спремиште"
 
-msgid "Source repository"
-msgstr "Изворно спремиште"
+msgid "Theme by the"
+msgstr "Тхеме би"
 
-msgid "By the"
-msgstr "Од"
+msgid "Print to PDF"
+msgstr "Испис у ПДФ"
 
-msgid "next page"
-msgstr "Следећа страна"
+msgid "Download this page"
+msgstr "Преузмите ову страницу"
 
-msgid "repository"
-msgstr "спремиште"
+msgid "Copyright"
+msgstr "Ауторско право"
+
+msgid "Last updated on"
+msgstr "Последње ажурирање"
+
+msgid "Launch"
+msgstr "Лансирање"
+
+msgid "Open an issue"
+msgstr "Отворите издање"
+
+msgid "Fullscreen mode"
+msgstr "Режим целог екрана"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема књиге Спхинк"
 
-msgid "Download source file"
-msgstr "Преузми изворну датотеку"
-
 msgid "Contents"
 msgstr "Садржај"
 
-msgid "By"
-msgstr "Од стране"
+msgid "Edit this page"
+msgstr "Уредите ову страницу"
 
-msgid "Copyright"
-msgstr "Ауторско право"
+msgid "next page"
+msgstr "Следећа страна"
 
-msgid "Fullscreen mode"
-msgstr "Режим целог екрана"
+msgid "Source repository"
+msgstr "Изворно спремиште"
 
-msgid "Open an issue"
-msgstr "Отворите издање"
+msgid "By"
+msgstr "Од стране"
+
+msgid "By the"
+msgstr "Од"
 
 msgid "previous page"
 msgstr "Претходна страница"
-
-msgid "Download this page"
-msgstr "Преузмите ову страницу"
-
-msgid "Theme by the"
-msgstr "Тхеме би"
diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.mo b/_static/locales/sv/LC_MESSAGES/booktheme.mo
index be951bec201ccd86d534499749af1df8938a14e3..b07dc76ff21128244172d2e415cc899555d8b49d 100644
GIT binary patch
delta 400
zcmZ9`yGjE=6b9gvxGF{sDtIXe#7+eZ(KaCnqD3V502^kK44KRfvy(+^tnC5;eSvH*
z2tI&=k06NHTZwkI{+rln^>J=L=c)8u8oXT<iRfdBXa;`4Irt41U?Cz}gJrk^x8Mdm
zgzNAOE<p)b;U&y-1~A{dh0E~ncm4>=s9)eLe2-{%yzq&}JQ{`RNzfw94>w`{$Ue*;
zsNP=}c=4c;QYB?vXgbzfbV8;Som<;6Y2w1jdpeCdkC_&ZY2!uHnC?zXs^NB|>fy#(
z9n%CRG_%e$mFT(HTH`!5x=yC7@0piMv3l)@PQpm3uHlIj)+Ev!C;L5W*pAc}tU7#+
k_G&u*AJYmCPP9WNG#4z9Jf=U_<8h)w#==N*Cv}^C0AtK%FaQ7m

delta 365
zcmX}lJxc>Y5C-5eo(7|66hDF>Y++%eXltXDAfyun%RP5;w`AR%duOl{?CgXCv9$1N
zi-3P%$sZ8xEVQ(+vk+{2?-XI#2WH-xd2S3F*Dn|2MD#IAgh!wFCg2yGg0+BX1<t@Z
zxDH!z7cRjg*o3EW0bas7yoF`{4$i^>EcXrJG<<?(?k%8=D)5fNBnsbuf%@3*;36!8
zYj7TJ4z5O2ZD-Fvx=_=hR<v&|$G$Lz&XOeV^;75Xvy9qODJd*FA#KLTU8`-BhP`e_
z8@BmsV3ym`rtBp7n<TMPaF&V0^+LlZ`9siZc5tFE9UUaGw&x<uUxTe}{?Aa^=g1dq
Y6^m3WSyjr3s*@UD2**lC>~NZX05KL?761SM

diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.po b/_static/locales/sv/LC_MESSAGES/booktheme.po
index 7d2b56d94..8fc0146e6 100644
--- a/_static/locales/sv/LC_MESSAGES/booktheme.po
+++ b/_static/locales/sv/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: sv\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Ladda ner källfil"
+
 msgid "suggest edit"
-msgstr "föreslå redigering"
+msgstr "föreslå ändring"
 
-msgid "Last updated on"
-msgstr "Senast uppdaterad den"
+msgid "Toggle navigation"
+msgstr "Växla navigering"
 
-msgid "Edit this page"
-msgstr "Redigera den här sidan"
+msgid "open issue"
+msgstr "öppna problemrapport"
 
-msgid "Launch"
-msgstr "Lansera"
+msgid "Download notebook file"
+msgstr "Ladda ner notebook-fil"
+
+msgid "repository"
+msgstr "repositorium"
+
+msgid "Theme by the"
+msgstr "Tema av"
 
 msgid "Print to PDF"
 msgstr "Skriv ut till PDF"
 
-msgid "open issue"
-msgstr "öppet problem"
-
-msgid "Download notebook file"
-msgstr "Ladda ner anteckningsbokfilen"
+msgid "Download this page"
+msgstr "Ladda ner den här sidan"
 
-msgid "Toggle navigation"
-msgstr "Växla navigering"
+msgid "Copyright"
+msgstr "Upphovsrätt"
 
-msgid "Source repository"
-msgstr "Källförvar"
+msgid "Last updated on"
+msgstr "Senast uppdaterad den"
 
-msgid "By the"
-msgstr "Vid"
+msgid "Launch"
+msgstr "Öppna"
 
-msgid "next page"
-msgstr "nästa sida"
+msgid "Open an issue"
+msgstr "Öppna en problemrapport"
 
-msgid "repository"
-msgstr "förvar"
+msgid "Fullscreen mode"
+msgstr "Fullskärmsläge"
 
 msgid "Sphinx Book Theme"
-msgstr "Sphinx boktema"
-
-msgid "Download source file"
-msgstr "Ladda ner källfil"
+msgstr "Sphinx Boktema"
 
 msgid "Contents"
 msgstr "Innehåll"
 
-msgid "By"
-msgstr "Förbi"
+msgid "Edit this page"
+msgstr "Redigera den här sidan"
 
-msgid "Copyright"
-msgstr "upphovsrätt"
+msgid "next page"
+msgstr "nästa sida"
 
-msgid "Fullscreen mode"
-msgstr "Fullskärmsläge"
+msgid "Source repository"
+msgstr "Källkodsrepositorium"
 
-msgid "Open an issue"
-msgstr "Öppna ett problem"
+msgid "By"
+msgstr "Av"
+
+msgid "By the"
+msgstr "Av den"
 
 msgid "previous page"
 msgstr "föregående sida"
-
-msgid "Download this page"
-msgstr "Ladda ner den här sidan"
-
-msgid "Theme by the"
-msgstr "Tema av"
diff --git a/_static/locales/ta/LC_MESSAGES/booktheme.po b/_static/locales/ta/LC_MESSAGES/booktheme.po
index c75ffe192..116d74331 100644
--- a/_static/locales/ta/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ta/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ta\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "மூல கோப்பைப் பதிவிறக்குக"
+
 msgid "suggest edit"
 msgstr "திருத்த பரிந்துரைக்கவும்"
 
-msgid "Last updated on"
-msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
-
-msgid "Edit this page"
-msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
-
-msgid "Launch"
-msgstr "தொடங்க"
-
-msgid "Print to PDF"
-msgstr "PDF இல் அச்சிடுக"
+msgid "Toggle navigation"
+msgstr "வழிசெலுத்தலை நிலைமாற்று"
 
 msgid "open issue"
 msgstr "திறந்த பிரச்சினை"
@@ -29,38 +23,44 @@ msgstr "திறந்த பிரச்சினை"
 msgid "Download notebook file"
 msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்"
 
-msgid "Toggle navigation"
-msgstr "வழிசெலுத்தலை நிலைமாற்று"
+msgid "Theme by the"
+msgstr "வழங்கிய தீம்"
 
-msgid "Source repository"
-msgstr "மூல களஞ்சியம்"
+msgid "Print to PDF"
+msgstr "PDF இல் அச்சிடுக"
 
-msgid "By the"
-msgstr "மூலம்"
+msgid "Download this page"
+msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
 
-msgid "next page"
-msgstr "அடுத்த பக்கம்"
+msgid "Copyright"
+msgstr "பதிப்புரிமை"
+
+msgid "Last updated on"
+msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
+
+msgid "Launch"
+msgstr "தொடங்க"
+
+msgid "Open an issue"
+msgstr "சிக்கலைத் திறக்கவும்"
 
 msgid "Sphinx Book Theme"
 msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்"
 
-msgid "Download source file"
-msgstr "மூல கோப்பைப் பதிவிறக்குக"
+msgid "Edit this page"
+msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
+
+msgid "next page"
+msgstr "அடுத்த பக்கம்"
+
+msgid "Source repository"
+msgstr "மூல களஞ்சியம்"
 
 msgid "By"
 msgstr "வழங்கியவர்"
 
-msgid "Copyright"
-msgstr "பதிப்புரிமை"
-
-msgid "Open an issue"
-msgstr "சிக்கலைத் திறக்கவும்"
+msgid "By the"
+msgstr "மூலம்"
 
 msgid "previous page"
 msgstr "முந்தைய பக்கம்"
-
-msgid "Download this page"
-msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
-
-msgid "Theme by the"
-msgstr "வழங்கிய தீம்"
diff --git a/_static/locales/te/LC_MESSAGES/booktheme.po b/_static/locales/te/LC_MESSAGES/booktheme.po
index 2595c0359..635bdf962 100644
--- a/_static/locales/te/LC_MESSAGES/booktheme.po
+++ b/_static/locales/te/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: te\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
+
 msgid "suggest edit"
 msgstr "సవరించమని సూచించండి"
 
-msgid "Last updated on"
-msgstr "చివరిగా నవీకరించబడింది"
-
-msgid "Edit this page"
-msgstr "ఈ పేజీని సవరించండి"
-
-msgid "Launch"
-msgstr "ప్రారంభించండి"
-
-msgid "Print to PDF"
-msgstr "PDF కి ముద్రించండి"
+msgid "Toggle navigation"
+msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
 
 msgid "open issue"
 msgstr "ఓపెన్ ఇష్యూ"
@@ -29,38 +23,44 @@ msgstr "ఓపెన్ ఇష్యూ"
 msgid "Download notebook file"
 msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి"
 
-msgid "Toggle navigation"
-msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
+msgid "Theme by the"
+msgstr "ద్వారా థీమ్"
 
-msgid "Source repository"
-msgstr "మూల రిపోజిటరీ"
+msgid "Print to PDF"
+msgstr "PDF కి ముద్రించండి"
 
-msgid "By the"
-msgstr "ద్వారా"
+msgid "Download this page"
+msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
 
-msgid "next page"
-msgstr "తరువాతి పేజీ"
+msgid "Copyright"
+msgstr "కాపీరైట్"
+
+msgid "Last updated on"
+msgstr "చివరిగా నవీకరించబడింది"
+
+msgid "Launch"
+msgstr "ప్రారంభించండి"
+
+msgid "Open an issue"
+msgstr "సమస్యను తెరవండి"
 
 msgid "Sphinx Book Theme"
 msgstr "సింహిక పుస్తక థీమ్"
 
-msgid "Download source file"
-msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
+msgid "Edit this page"
+msgstr "ఈ పేజీని సవరించండి"
+
+msgid "next page"
+msgstr "తరువాతి పేజీ"
+
+msgid "Source repository"
+msgstr "మూల రిపోజిటరీ"
 
 msgid "By"
 msgstr "ద్వారా"
 
-msgid "Copyright"
-msgstr "కాపీరైట్"
-
-msgid "Open an issue"
-msgstr "సమస్యను తెరవండి"
+msgid "By the"
+msgstr "ద్వారా"
 
 msgid "previous page"
 msgstr "ముందు పేజి"
-
-msgid "Download this page"
-msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
-
-msgid "Theme by the"
-msgstr "ద్వారా థీమ్"
diff --git a/_static/locales/tg/LC_MESSAGES/booktheme.po b/_static/locales/tg/LC_MESSAGES/booktheme.po
index 73cd30ea9..a92c069a4 100644
--- a/_static/locales/tg/LC_MESSAGES/booktheme.po
+++ b/_static/locales/tg/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: tg\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Файли манбаъро зеркашӣ кунед"
+
 msgid "suggest edit"
 msgstr "пешниҳод вироиш"
 
-msgid "Last updated on"
-msgstr "Last навсозӣ дар"
-
-msgid "Edit this page"
-msgstr "Ин саҳифаро таҳрир кунед"
-
-msgid "Launch"
-msgstr "Оғоз"
-
-msgid "Print to PDF"
-msgstr "Чоп ба PDF"
+msgid "Toggle navigation"
+msgstr "Гузаришро иваз кунед"
 
 msgid "open issue"
 msgstr "барориши кушод"
@@ -29,47 +23,53 @@ msgstr "барориши кушод"
 msgid "Download notebook file"
 msgstr "Файли дафтарро зеркашӣ кунед"
 
-msgid "Toggle navigation"
-msgstr "Гузаришро иваз кунед"
+msgid "repository"
+msgstr "анбор"
 
-msgid "Source repository"
-msgstr "Анбори манбаъ"
+msgid "Theme by the"
+msgstr "Мавзӯъи аз"
 
-msgid "By the"
-msgstr "Бо"
+msgid "Print to PDF"
+msgstr "Чоп ба PDF"
 
-msgid "next page"
-msgstr "саҳифаи оянда"
+msgid "Download this page"
+msgstr "Ин саҳифаро зеркашӣ кунед"
 
-msgid "repository"
-msgstr "анбор"
+msgid "Copyright"
+msgstr "Ҳуқуқи муаллиф"
+
+msgid "Last updated on"
+msgstr "Last навсозӣ дар"
+
+msgid "Launch"
+msgstr "Оғоз"
+
+msgid "Open an issue"
+msgstr "Масъаларо кушоед"
+
+msgid "Fullscreen mode"
+msgstr "Ҳолати экрани пурра"
 
 msgid "Sphinx Book Theme"
 msgstr "Сфинкс Мавзӯи китоб"
 
-msgid "Download source file"
-msgstr "Файли манбаъро зеркашӣ кунед"
-
 msgid "Contents"
 msgstr "Мундариҷа"
 
-msgid "By"
-msgstr "Бо"
+msgid "Edit this page"
+msgstr "Ин саҳифаро таҳрир кунед"
 
-msgid "Copyright"
-msgstr "Ҳуқуқи муаллиф"
+msgid "next page"
+msgstr "саҳифаи оянда"
 
-msgid "Fullscreen mode"
-msgstr "Ҳолати экрани пурра"
+msgid "Source repository"
+msgstr "Анбори манбаъ"
 
-msgid "Open an issue"
-msgstr "Масъаларо кушоед"
+msgid "By"
+msgstr "Бо"
+
+msgid "By the"
+msgstr "Бо"
 
 msgid "previous page"
 msgstr "саҳифаи қаблӣ"
-
-msgid "Download this page"
-msgstr "Ин саҳифаро зеркашӣ кунед"
-
-msgid "Theme by the"
-msgstr "Мавзӯъи аз"
diff --git a/_static/locales/th/LC_MESSAGES/booktheme.po b/_static/locales/th/LC_MESSAGES/booktheme.po
index 0392b4ad3..25d9837f8 100644
--- a/_static/locales/th/LC_MESSAGES/booktheme.po
+++ b/_static/locales/th/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: th\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
+
 msgid "suggest edit"
 msgstr "แนะนำแก้ไข"
 
-msgid "Last updated on"
-msgstr "ปรับปรุงล่าสุดเมื่อ"
-
-msgid "Edit this page"
-msgstr "แก้ไขหน้านี้"
-
-msgid "Launch"
-msgstr "เปิด"
-
-msgid "Print to PDF"
-msgstr "พิมพ์เป็น PDF"
+msgid "Toggle navigation"
+msgstr "ไม่ต้องสลับช่องทาง"
 
 msgid "open issue"
 msgstr "เปิดปัญหา"
@@ -29,47 +23,53 @@ msgstr "เปิดปัญหา"
 msgid "Download notebook file"
 msgstr "ดาวน์โหลดไฟล์สมุดบันทึก"
 
-msgid "Toggle navigation"
-msgstr "ไม่ต้องสลับช่องทาง"
+msgid "repository"
+msgstr "ที่เก็บ"
 
-msgid "Source repository"
-msgstr "ที่เก็บซอร์ส"
+msgid "Theme by the"
+msgstr "ธีมโดย"
 
-msgid "By the"
-msgstr "โดย"
+msgid "Print to PDF"
+msgstr "พิมพ์เป็น PDF"
 
-msgid "next page"
-msgstr "หน้าต่อไป"
+msgid "Download this page"
+msgstr "ดาวน์โหลดหน้านี้"
 
-msgid "repository"
-msgstr "ที่เก็บ"
+msgid "Copyright"
+msgstr "ลิขสิทธิ์"
+
+msgid "Last updated on"
+msgstr "ปรับปรุงล่าสุดเมื่อ"
+
+msgid "Launch"
+msgstr "เปิด"
+
+msgid "Open an issue"
+msgstr "เปิดปัญหา"
+
+msgid "Fullscreen mode"
+msgstr "โหมดเต็มหน้าจอ"
 
 msgid "Sphinx Book Theme"
 msgstr "ธีมหนังสือสฟิงซ์"
 
-msgid "Download source file"
-msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
-
 msgid "Contents"
 msgstr "สารบัญ"
 
-msgid "By"
-msgstr "โดย"
+msgid "Edit this page"
+msgstr "แก้ไขหน้านี้"
 
-msgid "Copyright"
-msgstr "ลิขสิทธิ์"
+msgid "next page"
+msgstr "หน้าต่อไป"
 
-msgid "Fullscreen mode"
-msgstr "โหมดเต็มหน้าจอ"
+msgid "Source repository"
+msgstr "ที่เก็บซอร์ส"
 
-msgid "Open an issue"
-msgstr "เปิดปัญหา"
+msgid "By"
+msgstr "โดย"
+
+msgid "By the"
+msgstr "โดย"
 
 msgid "previous page"
 msgstr "หน้าที่แล้ว"
-
-msgid "Download this page"
-msgstr "ดาวน์โหลดหน้านี้"
-
-msgid "Theme by the"
-msgstr "ธีมโดย"
diff --git a/_static/locales/tl/LC_MESSAGES/booktheme.po b/_static/locales/tl/LC_MESSAGES/booktheme.po
index c8375b543..7e28b05fa 100644
--- a/_static/locales/tl/LC_MESSAGES/booktheme.po
+++ b/_static/locales/tl/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: tl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Mag-download ng file ng pinagmulan"
+
 msgid "suggest edit"
 msgstr "iminumungkahi i-edit"
 
-msgid "Last updated on"
-msgstr "Huling na-update noong"
-
-msgid "Edit this page"
-msgstr "I-edit ang pahinang ito"
-
-msgid "Launch"
-msgstr "Ilunsad"
-
-msgid "Print to PDF"
-msgstr "I-print sa PDF"
+msgid "Toggle navigation"
+msgstr "I-toggle ang pag-navigate"
 
 msgid "open issue"
 msgstr "bukas na isyu"
@@ -29,38 +23,44 @@ msgstr "bukas na isyu"
 msgid "Download notebook file"
 msgstr "Mag-download ng file ng notebook"
 
-msgid "Toggle navigation"
-msgstr "I-toggle ang pag-navigate"
+msgid "Theme by the"
+msgstr "Tema ng"
 
-msgid "Source repository"
-msgstr "Pinagmulan ng imbakan"
+msgid "Print to PDF"
+msgstr "I-print sa PDF"
 
-msgid "By the"
-msgstr "Sa pamamagitan ng"
+msgid "Download this page"
+msgstr "I-download ang pahinang ito"
 
-msgid "next page"
-msgstr "Susunod na pahina"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Last updated on"
+msgstr "Huling na-update noong"
+
+msgid "Launch"
+msgstr "Ilunsad"
+
+msgid "Open an issue"
+msgstr "Magbukas ng isyu"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema ng Sphinx Book"
 
-msgid "Download source file"
-msgstr "Mag-download ng file ng pinagmulan"
+msgid "Edit this page"
+msgstr "I-edit ang pahinang ito"
+
+msgid "next page"
+msgstr "Susunod na pahina"
+
+msgid "Source repository"
+msgstr "Pinagmulan ng imbakan"
 
 msgid "By"
 msgstr "Ni"
 
-msgid "Copyright"
-msgstr "Copyright"
-
-msgid "Open an issue"
-msgstr "Magbukas ng isyu"
+msgid "By the"
+msgstr "Sa pamamagitan ng"
 
 msgid "previous page"
 msgstr "Nakaraang pahina"
-
-msgid "Download this page"
-msgstr "I-download ang pahinang ito"
-
-msgid "Theme by the"
-msgstr "Tema ng"
diff --git a/_static/locales/tr/LC_MESSAGES/booktheme.po b/_static/locales/tr/LC_MESSAGES/booktheme.po
index 47d7bdf7f..54d6f5836 100644
--- a/_static/locales/tr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/tr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: tr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Kaynak dosyayı indirin"
+
 msgid "suggest edit"
 msgstr "düzenleme öner"
 
-msgid "Last updated on"
-msgstr "Son güncelleme tarihi"
-
-msgid "Edit this page"
-msgstr "Bu sayfayı düzenle"
-
-msgid "Launch"
-msgstr "Başlatmak"
-
-msgid "Print to PDF"
-msgstr "PDF olarak yazdır"
+msgid "Toggle navigation"
+msgstr "Gezinmeyi değiştir"
 
 msgid "open issue"
 msgstr "Açık konu"
@@ -29,47 +23,53 @@ msgstr "Açık konu"
 msgid "Download notebook file"
 msgstr "Defter dosyasını indirin"
 
-msgid "Toggle navigation"
-msgstr "Gezinmeyi değiştir"
+msgid "repository"
+msgstr "depo"
 
-msgid "Source repository"
-msgstr "Kaynak kod deposu"
+msgid "Theme by the"
+msgstr "Tarafından tema"
 
-msgid "By the"
-msgstr "Tarafından"
+msgid "Print to PDF"
+msgstr "PDF olarak yazdır"
 
-msgid "next page"
-msgstr "sonraki Sayfa"
+msgid "Download this page"
+msgstr "Bu sayfayı indirin"
 
-msgid "repository"
-msgstr "depo"
+msgid "Copyright"
+msgstr "Telif hakkı"
+
+msgid "Last updated on"
+msgstr "Son güncelleme tarihi"
+
+msgid "Launch"
+msgstr "Başlatmak"
+
+msgid "Open an issue"
+msgstr "Bir sorunu açın"
+
+msgid "Fullscreen mode"
+msgstr "Tam ekran modu"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfenks Kitap Teması"
 
-msgid "Download source file"
-msgstr "Kaynak dosyayı indirin"
-
 msgid "Contents"
 msgstr "İçindekiler"
 
-msgid "By"
-msgstr "Tarafından"
+msgid "Edit this page"
+msgstr "Bu sayfayı düzenle"
 
-msgid "Copyright"
-msgstr "Telif hakkı"
+msgid "next page"
+msgstr "sonraki Sayfa"
 
-msgid "Fullscreen mode"
-msgstr "Tam ekran modu"
+msgid "Source repository"
+msgstr "Kaynak kod deposu"
 
-msgid "Open an issue"
-msgstr "Bir sorunu açın"
+msgid "By"
+msgstr "Tarafından"
+
+msgid "By the"
+msgstr "Tarafından"
 
 msgid "previous page"
 msgstr "önceki sayfa"
-
-msgid "Download this page"
-msgstr "Bu sayfayı indirin"
-
-msgid "Theme by the"
-msgstr "Tarafından tema"
diff --git a/_static/locales/uk/LC_MESSAGES/booktheme.po b/_static/locales/uk/LC_MESSAGES/booktheme.po
index e85f6f16a..6ecaec679 100644
--- a/_static/locales/uk/LC_MESSAGES/booktheme.po
+++ b/_static/locales/uk/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: uk\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Завантажити вихідний файл"
+
 msgid "suggest edit"
 msgstr "запропонувати редагувати"
 
-msgid "Last updated on"
-msgstr "Останнє оновлення:"
-
-msgid "Edit this page"
-msgstr "Редагувати цю сторінку"
-
-msgid "Launch"
-msgstr "Запуск"
-
-msgid "Print to PDF"
-msgstr "Друк у форматі PDF"
+msgid "Toggle navigation"
+msgstr "Переключити навігацію"
 
 msgid "open issue"
 msgstr "відкритий випуск"
@@ -29,47 +23,53 @@ msgstr "відкритий випуск"
 msgid "Download notebook file"
 msgstr "Завантажте файл блокнота"
 
-msgid "Toggle navigation"
-msgstr "Переключити навігацію"
+msgid "repository"
+msgstr "сховище"
 
-msgid "Source repository"
-msgstr "Джерело сховища"
+msgid "Theme by the"
+msgstr "Тема від"
 
-msgid "By the"
-msgstr "По"
+msgid "Print to PDF"
+msgstr "Друк у форматі PDF"
 
-msgid "next page"
-msgstr "Наступна сторінка"
+msgid "Download this page"
+msgstr "Завантажте цю сторінку"
 
-msgid "repository"
-msgstr "сховище"
+msgid "Copyright"
+msgstr "Авторське право"
+
+msgid "Last updated on"
+msgstr "Останнє оновлення:"
+
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Open an issue"
+msgstr "Відкрийте випуск"
+
+msgid "Fullscreen mode"
+msgstr "Повноекранний режим"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема книги \"Сфінкс\""
 
-msgid "Download source file"
-msgstr "Завантажити вихідний файл"
-
 msgid "Contents"
 msgstr "Зміст"
 
-msgid "By"
-msgstr "Автор"
+msgid "Edit this page"
+msgstr "Редагувати цю сторінку"
 
-msgid "Copyright"
-msgstr "Авторське право"
+msgid "next page"
+msgstr "Наступна сторінка"
 
-msgid "Fullscreen mode"
-msgstr "Повноекранний режим"
+msgid "Source repository"
+msgstr "Джерело сховища"
 
-msgid "Open an issue"
-msgstr "Відкрийте випуск"
+msgid "By"
+msgstr "Автор"
+
+msgid "By the"
+msgstr "По"
 
 msgid "previous page"
 msgstr "Попередня сторінка"
-
-msgid "Download this page"
-msgstr "Завантажте цю сторінку"
-
-msgid "Theme by the"
-msgstr "Тема від"
diff --git a/_static/locales/ur/LC_MESSAGES/booktheme.po b/_static/locales/ur/LC_MESSAGES/booktheme.po
index 0f90726c1..818e03de7 100644
--- a/_static/locales/ur/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ur/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ur\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "سورس فائل ڈاؤن لوڈ کریں"
+
 msgid "suggest edit"
 msgstr "ترمیم کی تجویز کریں"
 
-msgid "Last updated on"
-msgstr "آخری بار تازہ کاری ہوئی"
-
-msgid "Edit this page"
-msgstr "اس صفحے میں ترمیم کریں"
-
-msgid "Launch"
-msgstr "لانچ کریں"
-
-msgid "Print to PDF"
-msgstr "پی ڈی ایف پرنٹ کریں"
+msgid "Toggle navigation"
+msgstr "نیویگیشن ٹوگل کریں"
 
 msgid "open issue"
 msgstr "کھلا مسئلہ"
@@ -29,38 +23,44 @@ msgstr "کھلا مسئلہ"
 msgid "Download notebook file"
 msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں"
 
-msgid "Toggle navigation"
-msgstr "نیویگیشن ٹوگل کریں"
+msgid "Theme by the"
+msgstr "کے ذریعہ تھیم"
 
-msgid "Source repository"
-msgstr "ماخذ ذخیرہ"
+msgid "Print to PDF"
+msgstr "پی ڈی ایف پرنٹ کریں"
 
-msgid "By the"
-msgstr "کی طرف"
+msgid "Download this page"
+msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
 
-msgid "next page"
-msgstr "اگلا صفحہ"
+msgid "Copyright"
+msgstr "کاپی رائٹ"
+
+msgid "Last updated on"
+msgstr "آخری بار تازہ کاری ہوئی"
+
+msgid "Launch"
+msgstr "لانچ کریں"
+
+msgid "Open an issue"
+msgstr "ایک مسئلہ کھولیں"
 
 msgid "Sphinx Book Theme"
 msgstr "سپنکس بک تھیم"
 
-msgid "Download source file"
-msgstr "سورس فائل ڈاؤن لوڈ کریں"
+msgid "Edit this page"
+msgstr "اس صفحے میں ترمیم کریں"
+
+msgid "next page"
+msgstr "اگلا صفحہ"
+
+msgid "Source repository"
+msgstr "ماخذ ذخیرہ"
 
 msgid "By"
 msgstr "بذریعہ"
 
-msgid "Copyright"
-msgstr "کاپی رائٹ"
-
-msgid "Open an issue"
-msgstr "ایک مسئلہ کھولیں"
+msgid "By the"
+msgstr "کی طرف"
 
 msgid "previous page"
 msgstr "سابقہ ​​صفحہ"
-
-msgid "Download this page"
-msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
-
-msgid "Theme by the"
-msgstr "کے ذریعہ تھیم"
diff --git a/_static/locales/vi/LC_MESSAGES/booktheme.po b/_static/locales/vi/LC_MESSAGES/booktheme.po
index 2cb5cf3b8..59db26698 100644
--- a/_static/locales/vi/LC_MESSAGES/booktheme.po
+++ b/_static/locales/vi/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: vi\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Tải xuống tệp nguồn"
+
 msgid "suggest edit"
 msgstr "đề nghị chỉnh sửa"
 
-msgid "Last updated on"
-msgstr "Cập nhật lần cuối vào"
-
-msgid "Edit this page"
-msgstr "chỉnh sửa trang này"
-
-msgid "Launch"
-msgstr "Phóng"
-
-msgid "Print to PDF"
-msgstr "In sang PDF"
+msgid "Toggle navigation"
+msgstr "Chuyển đổi điều hướng thành"
 
 msgid "open issue"
 msgstr "vấn đề mở"
@@ -29,47 +23,53 @@ msgstr "vấn đề mở"
 msgid "Download notebook file"
 msgstr "Tải xuống tệp sổ tay"
 
-msgid "Toggle navigation"
-msgstr "Chuyển đổi điều hướng thành"
+msgid "repository"
+msgstr "kho"
 
-msgid "Source repository"
-msgstr "Kho nguồn"
+msgid "Theme by the"
+msgstr "Chủ đề của"
 
-msgid "By the"
-msgstr "Bằng"
+msgid "Print to PDF"
+msgstr "In sang PDF"
 
-msgid "next page"
-msgstr "Trang tiếp theo"
+msgid "Download this page"
+msgstr "Tải xuống trang này"
 
-msgid "repository"
-msgstr "kho"
+msgid "Copyright"
+msgstr "Bản quyền"
+
+msgid "Last updated on"
+msgstr "Cập nhật lần cuối vào"
+
+msgid "Launch"
+msgstr "Phóng"
+
+msgid "Open an issue"
+msgstr "Mở một vấn đề"
+
+msgid "Fullscreen mode"
+msgstr "Chế độ toàn màn hình"
 
 msgid "Sphinx Book Theme"
 msgstr "Chủ đề sách nhân sư"
 
-msgid "Download source file"
-msgstr "Tải xuống tệp nguồn"
-
 msgid "Contents"
 msgstr "Nội dung"
 
-msgid "By"
-msgstr "Bởi"
+msgid "Edit this page"
+msgstr "chỉnh sửa trang này"
 
-msgid "Copyright"
-msgstr "Bản quyền"
+msgid "next page"
+msgstr "Trang tiếp theo"
 
-msgid "Fullscreen mode"
-msgstr "Chế độ toàn màn hình"
+msgid "Source repository"
+msgstr "Kho nguồn"
 
-msgid "Open an issue"
-msgstr "Mở một vấn đề"
+msgid "By"
+msgstr "Bởi"
+
+msgid "By the"
+msgstr "Bằng"
 
 msgid "previous page"
 msgstr "trang trước"
-
-msgid "Download this page"
-msgstr "Tải xuống trang này"
-
-msgid "Theme by the"
-msgstr "Chủ đề của"
diff --git a/_static/locales/zh_CN/LC_MESSAGES/booktheme.po b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
index f91f3ba0a..e8d12dd74 100644
--- a/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
+++ b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: zh_CN\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "下载源文件"
+
 msgid "suggest edit"
 msgstr "提出修改建议"
 
-msgid "Last updated on"
-msgstr "上次更新时间："
-
-msgid "Edit this page"
-msgstr "编辑此页面"
-
-msgid "Launch"
-msgstr "启动"
-
-msgid "Print to PDF"
-msgstr "列印成 PDF"
+msgid "Toggle navigation"
+msgstr "显示或隐藏导航栏"
 
 msgid "open issue"
 msgstr "创建议题"
@@ -29,47 +23,53 @@ msgstr "创建议题"
 msgid "Download notebook file"
 msgstr "下载笔记本文件"
 
-msgid "Toggle navigation"
-msgstr "显示或隐藏导航栏"
+msgid "repository"
+msgstr "仓库"
 
-msgid "Source repository"
-msgstr "源码库"
+msgid "Theme by the"
+msgstr "主题作者："
 
-msgid "By the"
-msgstr "作者："
+msgid "Print to PDF"
+msgstr "列印成 PDF"
 
-msgid "next page"
-msgstr "下一页"
+msgid "Download this page"
+msgstr "下载此页面"
 
-msgid "repository"
-msgstr "仓库"
+msgid "Copyright"
+msgstr "版权"
+
+msgid "Last updated on"
+msgstr "上次更新时间："
+
+msgid "Launch"
+msgstr "启动"
+
+msgid "Open an issue"
+msgstr "创建议题"
+
+msgid "Fullscreen mode"
+msgstr "全屏模式"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx Book 主题"
 
-msgid "Download source file"
-msgstr "下载源文件"
-
 msgid "Contents"
 msgstr "目录"
 
-msgid "By"
-msgstr "作者："
+msgid "Edit this page"
+msgstr "编辑此页面"
 
-msgid "Copyright"
-msgstr "版权"
+msgid "next page"
+msgstr "下一页"
 
-msgid "Fullscreen mode"
-msgstr "全屏模式"
+msgid "Source repository"
+msgstr "源码库"
 
-msgid "Open an issue"
-msgstr "创建议题"
+msgid "By"
+msgstr "作者："
+
+msgid "By the"
+msgstr "作者："
 
 msgid "previous page"
 msgstr "上一页"
-
-msgid "Download this page"
-msgstr "下载此页面"
-
-msgid "Theme by the"
-msgstr "主题作者："
diff --git a/_static/locales/zh_TW/LC_MESSAGES/booktheme.po b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
index 7833d9043..0ed32f74e 100644
--- a/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
+++ b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: zh_TW\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "下載原始檔"
+
 msgid "suggest edit"
 msgstr "提出修改建議"
 
-msgid "Last updated on"
-msgstr "最後更新時間："
-
-msgid "Edit this page"
-msgstr "編輯此頁面"
-
-msgid "Launch"
-msgstr "啟動"
-
-msgid "Print to PDF"
-msgstr "列印成 PDF"
+msgid "Toggle navigation"
+msgstr "顯示或隱藏導覽列"
 
 msgid "open issue"
 msgstr "公開的問題"
@@ -29,47 +23,53 @@ msgstr "公開的問題"
 msgid "Download notebook file"
 msgstr "下載 Notebook 檔案"
 
-msgid "Toggle navigation"
-msgstr "顯示或隱藏導覽列"
+msgid "repository"
+msgstr "儲存庫"
 
-msgid "Source repository"
-msgstr "來源儲存庫"
+msgid "Theme by the"
+msgstr "佈景主題作者："
 
-msgid "By the"
-msgstr "作者："
+msgid "Print to PDF"
+msgstr "列印成 PDF"
 
-msgid "next page"
-msgstr "下一頁"
+msgid "Download this page"
+msgstr "下載此頁面"
 
-msgid "repository"
-msgstr "儲存庫"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Last updated on"
+msgstr "最後更新時間："
+
+msgid "Launch"
+msgstr "啟動"
+
+msgid "Open an issue"
+msgstr "開啟議題"
+
+msgid "Fullscreen mode"
+msgstr "全螢幕模式"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx Book 佈景主題"
 
-msgid "Download source file"
-msgstr "下載原始檔"
-
 msgid "Contents"
 msgstr "目錄"
 
-msgid "By"
-msgstr "作者："
+msgid "Edit this page"
+msgstr "編輯此頁面"
 
-msgid "Copyright"
-msgstr "Copyright"
+msgid "next page"
+msgstr "下一頁"
 
-msgid "Fullscreen mode"
-msgstr "全螢幕模式"
+msgid "Source repository"
+msgstr "來源儲存庫"
 
-msgid "Open an issue"
-msgstr "開啟議題"
+msgid "By"
+msgstr "作者："
+
+msgid "By the"
+msgstr "作者："
 
 msgid "previous page"
 msgstr "上一頁"
-
-msgid "Download this page"
-msgstr "下載此頁面"
-
-msgid "Theme by the"
-msgstr "佈景主題作者："
diff --git a/_static/play-solid.svg b/_static/play-solid.svg
new file mode 100644
index 000000000..bcd81f7a6
--- /dev/null
+++ b/_static/play-solid.svg
@@ -0,0 +1 @@
+<svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="play" class="svg-inline--fa fa-play fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M424.4 214.7L72.4 6.6C43.8-10.3 0 6.1 0 47.9V464c0 37.5 40.7 60.1 72.4 41.3l352-208c31.4-18.5 31.5-64.1 0-82.6z"></path></svg>
\ No newline at end of file
diff --git a/_static/scripts/bootstrap.js b/_static/scripts/bootstrap.js
index bda8a6027..4e209b0e1 100644
--- a/_static/scripts/bootstrap.js
+++ b/_static/scripts/bootstrap.js
@@ -1,3 +1,3 @@
 /*! For license information please see bootstrap.js.LICENSE.txt */
-(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,n,{enumerable:!0,get:i[n]})},o:(t,e)=>Object.prototype.hasOwnProperty.call(t,e),r:t=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(t,"__esModule",{value:!0})}},e={};t.r(e),t.d(e,{afterMain:()=>w,afterRead:()=>b,afterWrite:()=>T,applyStyles:()=>D,arrow:()=>G,auto:()=>r,basePlacements:()=>a,beforeMain:()=>v,beforeRead:()=>g,beforeWrite:()=>E,bottom:()=>n,clippingParents:()=>h,computeStyles:()=>et,createPopper:()=>St,createPopperBase:()=>Lt,createPopperLite:()=>Dt,detectOverflow:()=>gt,end:()=>c,eventListeners:()=>nt,flip:()=>_t,hide:()=>yt,left:()=>o,main:()=>y,modifierPhases:()=>C,offset:()=>wt,placements:()=>m,popper:()=>u,popperGenerator:()=>kt,popperOffsets:()=>Et,preventOverflow:()=>At,read:()=>_,reference:()=>f,right:()=>s,start:()=>l,top:()=>i,variationPlacements:()=>p,viewport:()=>d,write:()=>A});var 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this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=ye.findOne(Ze,this._indicatorsElement);e.classList.remove(Je),e.removeAttribute("aria-current");const i=ye.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(Je),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===He,s=e||Ut(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>ue.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(Re).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),Rt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(Je),i.classList.remove(Je,c,l),this._isSliding=!1,r(qe)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return ye.findOne(ei,this._element)}_getItems(){return ye.find(ti,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Yt()?t===We?Be:He:t===We?He:Be}_orderToDirection(t){return Yt()?t===Be?We:ze:t===Be?ze:We}static jQueryInterface(t){return this.each((function(){const e=oi.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}ue.on(document,Ue,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=ye.getElementFromSelector(this);if(!e||!e.classList.contains(Ge))return;t.preventDefault();const i=oi.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===ge.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),ue.on(window,Xe,(()=>{const t=ye.find('[data-bs-ride="carousel"]');for(const e of t)oi.getOrCreateInstance(e)})),Kt(oi);const ri=".bs.collapse",ai=`show${ri}`,li=`shown${ri}`,ci=`hide${ri}`,hi=`hidden${ri}`,di=`click${ri}.data-api`,ui="show",fi="collapse",pi="collapsing",mi=`:scope .${fi} .${fi}`,gi='[data-bs-toggle="collapse"]',_i={parent:null,toggle:!0},bi={parent:"(null|element)",toggle:"boolean"};class vi extends be{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=ye.find(gi);for(const t of i){const e=ye.getSelectorFromElement(t),i=ye.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return _i}static get DefaultType(){return bi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>vi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(ue.trigger(this._element,ai).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(fi),this._element.classList.add(pi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(pi),this._element.classList.add(fi,ui),this._element.style[e]="",ue.trigger(this._element,li)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(ue.trigger(this._element,ci).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,Rt(this._element),this._element.classList.add(pi),this._element.classList.remove(fi,ui);for(const t of this._triggerArray){const e=ye.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(pi),this._element.classList.add(fi),ue.trigger(this._element,hi)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(ui)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ft(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(gi);for(const e of t){const t=ye.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=ye.find(mi,this._config.parent);return ye.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=vi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}ue.on(document,di,gi,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of ye.getMultipleElementsFromSelector(this))vi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Kt(vi);const yi="dropdown",wi=".bs.dropdown",Ei=".data-api",Ai="ArrowUp",Ti="ArrowDown",Ci=`hide${wi}`,Oi=`hidden${wi}`,xi=`show${wi}`,ki=`shown${wi}`,Li=`click${wi}${Ei}`,Si=`keydown${wi}${Ei}`,Di=`keyup${wi}${Ei}`,$i="show",Ii='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Ni=`${Ii}.${$i}`,Pi=".dropdown-menu",Mi=Yt()?"top-end":"top-start",ji=Yt()?"top-start":"top-end",Fi=Yt()?"bottom-end":"bottom-start",Hi=Yt()?"bottom-start":"bottom-end",Bi=Yt()?"left-start":"right-start",Wi=Yt()?"right-start":"left-start",zi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class qi extends be{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=ye.next(this._element,Pi)[0]||ye.prev(this._element,Pi)[0]||ye.findOne(Pi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return zi}static get DefaultType(){return Ri}static get NAME(){return yi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Bt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!ue.trigger(this._element,xi,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))ue.on(t,"mouseover",zt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add($i),this._element.classList.add($i),ue.trigger(this._element,ki,t)}}hide(){if(Bt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!ue.trigger(this._element,Ci,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.off(t,"mouseover",zt);this._popper&&this._popper.destroy(),this._menu.classList.remove($i),this._element.classList.remove($i),this._element.setAttribute("aria-expanded","false"),ge.removeDataAttribute(this._menu,"popper"),ue.trigger(this._element,Oi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!jt(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${yi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:jt(this._config.reference)?t=Ft(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=St(t,this._menu,i)}_isShown(){return this._menu.classList.contains($i)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Bi;if(t.classList.contains("dropstart"))return Wi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ji:Mi:e?Hi:Fi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(ge.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Qt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=ye.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Ht(t)));i.length&&Ut(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=ye.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ai,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:ye.prev(this,Ii)[0]||ye.next(this,Ii)[0]||ye.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}ue.on(document,Si,Ii,qi.dataApiKeydownHandler),ue.on(document,Si,Pi,qi.dataApiKeydownHandler),ue.on(document,Li,qi.clearMenus),ue.on(document,Di,qi.clearMenus),ue.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),Kt(qi);const Vi="backdrop",Yi="show",Ki=`mousedown.bs.${Vi}`,Qi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Xi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends _e{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Qi}static get DefaultType(){return Xi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void Qt(t);this._append();const e=this._getElement();this._config.isAnimated&&Rt(e),e.classList.add(Yi),this._emulateAnimation((()=>{Qt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Yi),this._emulateAnimation((()=>{this.dispose(),Qt(t)}))):Qt(t)}dispose(){this._isAppended&&(ue.off(this._element,Ki),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ft(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),ue.on(t,Ki,(()=>{Qt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Xt(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends _e{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),ue.off(document,Gi),ue.on(document,Ji,(t=>this._handleFocusin(t))),ue.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,ue.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=ye.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&ge.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=ge.getDataAttribute(t,e);null!==i?(ge.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(jt(t))e(t);else for(const i of ye.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",En="show",An="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends be{constructor(t,e){super(t,e),this._dialog=ye.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||ue.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(ue.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(En),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){ue.off(window,hn),ue.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=ye.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),Rt(this._element),this._element.classList.add(En),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,ue.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){ue.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),ue.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),ue.on(this._element,bn,(t=>{ue.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),ue.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(ue.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(An)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(An),this._queueCallback((()=>{this._element.classList.remove(An),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Yt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Yt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}ue.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=ye.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),ue.one(e,pn,(t=>{t.defaultPrevented||ue.one(e,fn,(()=>{Ht(this)&&this.focus()}))}));const i=ye.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),we(On),Kt(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Bn=`click${xn}${kn}`,Wn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends be{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||ue.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),ue.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(ue.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),ue.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():ue.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){ue.on(this._element,Wn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():ue.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}ue.on(document,Bn,'[data-bs-toggle="offcanvas"]',(function(t){const e=ye.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Bt(this))return;ue.one(e,Fn,(()=>{Ht(this)&&this.focus()}));const i=ye.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),ue.on(window,Ln,(()=>{for(const t of ye.find(In))qn.getOrCreateInstance(t).show()})),ue.on(window,Hn,(()=>{for(const t of ye.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),we(qn),Kt(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Yn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Kn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Qn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Yn.has(i)||Boolean(Kn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Xn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends _e{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Xn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=ye.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?jt(e)?this._putElementInTemplate(Ft(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Qn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Qt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:Yt()?"left":"right",BOTTOM:"bottom",LEFT:Yt()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends be{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),ue.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=ue.trigger(this._element,this.constructor.eventName("show")),e=(Wt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),ue.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.on(t,"mouseover",zt);this._queueCallback((()=>{ue.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!ue.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.off(t,"mouseover",zt);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),ue.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=Qt(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return St(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Qt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Qt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)ue.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ss?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ss?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");ue.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?os:ss]=!0,e._enter()})),ue.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?os:ss]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},ue.on(this._element.closest(is),ns,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=ge.getDataAttributes(this._element);for(const t of Object.keys(e))Zn.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ft(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=cs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Kt(cs);const hs={...cs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},ds={...cs.DefaultType,content:"(null|string|element|function)"};class us extends cs{static get Default(){return hs}static get DefaultType(){return ds}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Kt(us);const fs=".bs.scrollspy",ps=`activate${fs}`,ms=`click${fs}`,gs=`load${fs}.data-api`,_s="active",bs="[href]",vs=".nav-link",ys=`${vs}, .nav-item > ${vs}, .list-group-item`,ws={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},Es={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class As extends be{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return ws}static get DefaultType(){return Es}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ft(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(ue.off(this._config.target,ms),ue.on(this._config.target,ms,bs,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=ye.find(bs,this._config.target);for(const e of t){if(!e.hash||Bt(e))continue;const t=ye.findOne(decodeURI(e.hash),this._element);Ht(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(_s),this._activateParents(t),ue.trigger(this._element,ps,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))ye.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(_s);else for(const e of ye.parents(t,".nav, .list-group"))for(const t of ye.prev(e,ys))t.classList.add(_s)}_clearActiveClass(t){t.classList.remove(_s);const e=ye.find(`${bs}.${_s}`,t);for(const t of e)t.classList.remove(_s)}static jQueryInterface(t){return this.each((function(){const e=As.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}ue.on(window,gs,(()=>{for(const t of ye.find('[data-bs-spy="scroll"]'))As.getOrCreateInstance(t)})),Kt(As);const Ts=".bs.tab",Cs=`hide${Ts}`,Os=`hidden${Ts}`,xs=`show${Ts}`,ks=`shown${Ts}`,Ls=`click${Ts}`,Ss=`keydown${Ts}`,Ds=`load${Ts}`,$s="ArrowLeft",Is="ArrowRight",Ns="ArrowUp",Ps="ArrowDown",Ms="Home",js="End",Fs="active",Hs="fade",Bs="show",Ws=".dropdown-toggle",zs=`:not(${Ws})`,Rs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',qs=`.nav-link${zs}, .list-group-item${zs}, [role="tab"]${zs}, ${Rs}`,Vs=`.${Fs}[data-bs-toggle="tab"], .${Fs}[data-bs-toggle="pill"], .${Fs}[data-bs-toggle="list"]`;class Ys extends be{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),ue.on(this._element,Ss,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?ue.trigger(e,Cs,{relatedTarget:t}):null;ue.trigger(t,xs,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Fs),this._activate(ye.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),ue.trigger(t,ks,{relatedTarget:e})):t.classList.add(Bs)}),t,t.classList.contains(Hs)))}_deactivate(t,e){t&&(t.classList.remove(Fs),t.blur(),this._deactivate(ye.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),ue.trigger(t,Os,{relatedTarget:e})):t.classList.remove(Bs)}),t,t.classList.contains(Hs)))}_keydown(t){if(![$s,Is,Ns,Ps,Ms,js].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!Bt(t)));let i;if([Ms,js].includes(t.key))i=e[t.key===Ms?0:e.length-1];else{const n=[Is,Ps].includes(t.key);i=Ut(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Ys.getOrCreateInstance(i).show())}_getChildren(){return ye.find(qs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const 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e?we.find(e):[]}},Ee=(t,e="hide")=>{const i=`click.dismiss${t.EVENT_KEY}`,n=t.NAME;fe.on(document,i,`[data-bs-dismiss="${n}"]`,(function(i){if(["A","AREA"].includes(this.tagName)&&i.preventDefault(),Wt(this))return;const s=we.getElementFromSelector(this)||this.closest(`.${n}`);t.getOrCreateInstance(s)[e]()}))},Ae=".bs.alert",Te=`close${Ae}`,Ce=`closed${Ae}`;class Oe extends ve{static get NAME(){return"alert"}close(){if(fe.trigger(this._element,Te).defaultPrevented)return;this._element.classList.remove("show");const t=this._element.classList.contains("fade");this._queueCallback((()=>this._destroyElement()),this._element,t)}_destroyElement(){this._element.remove(),fe.trigger(this._element,Ce),this.dispose()}static jQueryInterface(t){return this.each((function(){const e=Oe.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}Ee(Oe,"close"),Qt(Oe);const xe='[data-bs-toggle="button"]';class ke extends ve{static get NAME(){return"button"}toggle(){this._element.setAttribute("aria-pressed",this._element.classList.toggle("active"))}static jQueryInterface(t){return this.each((function(){const e=ke.getOrCreateInstance(this);"toggle"===t&&e[t]()}))}}fe.on(document,"click.bs.button.data-api",xe,(t=>{t.preventDefault();const e=t.target.closest(xe);ke.getOrCreateInstance(e).toggle()})),Qt(ke);const Le=".bs.swipe",Se=`touchstart${Le}`,De=`touchmove${Le}`,$e=`touchend${Le}`,Ie=`pointerdown${Le}`,Ne=`pointerup${Le}`,Pe={endCallback:null,leftCallback:null,rightCallback:null},Me={endCallback:"(function|null)",leftCallback:"(function|null)",rightCallback:"(function|null)"};class je extends be{constructor(t,e){super(),this._element=t,t&&je.isSupported()&&(this._config=this._getConfig(e),this._deltaX=0,this._supportPointerEvents=Boolean(window.PointerEvent),this._initEvents())}static get Default(){return Pe}static get DefaultType(){return Me}static get NAME(){return"swipe"}dispose(){fe.off(this._element,Le)}_start(t){this._supportPointerEvents?this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX):this._deltaX=t.touches[0].clientX}_end(t){this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX-this._deltaX),this._handleSwipe(),Xt(this._config.endCallback)}_move(t){this._deltaX=t.touches&&t.touches.length>1?0:t.touches[0].clientX-this._deltaX}_handleSwipe(){const t=Math.abs(this._deltaX);if(t<=40)return;const e=t/this._deltaX;this._deltaX=0,e&&Xt(e>0?this._config.rightCallback:this._config.leftCallback)}_initEvents(){this._supportPointerEvents?(fe.on(this._element,Ie,(t=>this._start(t))),fe.on(this._element,Ne,(t=>this._end(t))),this._element.classList.add("pointer-event")):(fe.on(this._element,Se,(t=>this._start(t))),fe.on(this._element,De,(t=>this._move(t))),fe.on(this._element,$e,(t=>this._end(t))))}_eventIsPointerPenTouch(t){return this._supportPointerEvents&&("pen"===t.pointerType||"touch"===t.pointerType)}static isSupported(){return"ontouchstart"in document.documentElement||navigator.maxTouchPoints>0}}const Fe=".bs.carousel",He=".data-api",Be="next",We="prev",ze="left",Re="right",qe=`slide${Fe}`,Ve=`slid${Fe}`,Ye=`keydown${Fe}`,Ke=`mouseenter${Fe}`,Qe=`mouseleave${Fe}`,Xe=`dragstart${Fe}`,Ue=`load${Fe}${He}`,Ge=`click${Fe}${He}`,Je="carousel",Ze="active",ti=".active",ei=".carousel-item",ii=ti+ei,ni={ArrowLeft:Re,ArrowRight:ze},si={interval:5e3,keyboard:!0,pause:"hover",ride:!1,touch:!0,wrap:!0},oi={interval:"(number|boolean)",keyboard:"boolean",pause:"(string|boolean)",ride:"(boolean|string)",touch:"boolean",wrap:"boolean"};class ri extends ve{constructor(t,e){super(t,e),this._interval=null,this._activeElement=null,this._isSliding=!1,this.touchTimeout=null,this._swipeHelper=null,this._indicatorsElement=we.findOne(".carousel-indicators",this._element),this._addEventListeners(),this._config.ride===Je&&this.cycle()}static get Default(){return si}static get DefaultType(){return oi}static get NAME(){return"carousel"}next(){this._slide(Be)}nextWhenVisible(){!document.hidden&&Bt(this._element)&&this.next()}prev(){this._slide(We)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?fe.one(this._element,Ve,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void fe.one(this._element,Ve,(()=>this.to(t)));const i=this._getItemIndex(this._getActive());if(i===t)return;const n=t>i?Be:We;this._slide(n,e[t])}dispose(){this._swipeHelper&&this._swipeHelper.dispose(),super.dispose()}_configAfterMerge(t){return t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&fe.on(this._element,Ye,(t=>this._keydown(t))),"hover"===this._config.pause&&(fe.on(this._element,Ke,(()=>this.pause())),fe.on(this._element,Qe,(()=>this._maybeEnableCycle()))),this._config.touch&&je.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of we.find(".carousel-item img",this._element))fe.on(t,Xe,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(ze)),rightCallback:()=>this._slide(this._directionToOrder(Re)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new je(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=ni[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=we.findOne(ti,this._indicatorsElement);e.classList.remove(Ze),e.removeAttribute("aria-current");const i=we.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(Ze),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===Be,s=e||Gt(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>fe.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(qe).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(Ze),i.classList.remove(Ze,c,l),this._isSliding=!1,r(Ve)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return we.findOne(ii,this._element)}_getItems(){return we.find(ei,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===ze?We:Be:t===ze?Be:We}_orderToDirection(t){return Kt()?t===We?ze:Re:t===We?Re:ze}static jQueryInterface(t){return this.each((function(){const e=ri.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}fe.on(document,Ge,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=we.getElementFromSelector(this);if(!e||!e.classList.contains(Je))return;t.preventDefault();const i=ri.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===_e.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),fe.on(window,Ue,(()=>{const t=we.find('[data-bs-ride="carousel"]');for(const e of t)ri.getOrCreateInstance(e)})),Qt(ri);const ai=".bs.collapse",li=`show${ai}`,ci=`shown${ai}`,hi=`hide${ai}`,di=`hidden${ai}`,ui=`click${ai}.data-api`,fi="show",pi="collapse",mi="collapsing",gi=`:scope .${pi} .${pi}`,_i='[data-bs-toggle="collapse"]',bi={parent:null,toggle:!0},vi={parent:"(null|element)",toggle:"boolean"};class yi extends ve{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=we.find(_i);for(const t of i){const e=we.getSelectorFromElement(t),i=we.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return bi}static get DefaultType(){return vi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>yi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(fe.trigger(this._element,li).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(pi),this._element.classList.add(mi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(mi),this._element.classList.add(pi,fi),this._element.style[e]="",fe.trigger(this._element,ci)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(fe.trigger(this._element,hi).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(mi),this._element.classList.remove(pi,fi);for(const t of this._triggerArray){const e=we.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(mi),this._element.classList.add(pi),fe.trigger(this._element,di)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(fi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(_i);for(const e of t){const t=we.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=we.find(gi,this._config.parent);return we.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=yi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}fe.on(document,ui,_i,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of we.getMultipleElementsFromSelector(this))yi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(yi);const wi="dropdown",Ei=".bs.dropdown",Ai=".data-api",Ti="ArrowUp",Ci="ArrowDown",Oi=`hide${Ei}`,xi=`hidden${Ei}`,ki=`show${Ei}`,Li=`shown${Ei}`,Si=`click${Ei}${Ai}`,Di=`keydown${Ei}${Ai}`,$i=`keyup${Ei}${Ai}`,Ii="show",Ni='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Pi=`${Ni}.${Ii}`,Mi=".dropdown-menu",ji=Kt()?"top-end":"top-start",Fi=Kt()?"top-start":"top-end",Hi=Kt()?"bottom-end":"bottom-start",Bi=Kt()?"bottom-start":"bottom-end",Wi=Kt()?"left-start":"right-start",zi=Kt()?"right-start":"left-start",Ri={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},qi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Vi extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Mi)[0]||we.prev(this._element,Mi)[0]||we.findOne(Mi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Ri}static get DefaultType(){return qi}static get NAME(){return wi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,ki,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Ii),this._element.classList.add(Ii),fe.trigger(this._element,Li,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,Oi,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Ii),this._element.classList.remove(Ii),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,xi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${wi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Ii)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Wi;if(t.classList.contains("dropstart"))return zi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Fi:ji:e?Bi:Hi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===Ci,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Vi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(Pi);for(const i of e){const e=Vi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ti,Ci].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ni)?this:we.prev(this,Ni)[0]||we.next(this,Ni)[0]||we.findOne(Ni,t.delegateTarget.parentNode),o=Vi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Di,Ni,Vi.dataApiKeydownHandler),fe.on(document,Di,Mi,Vi.dataApiKeydownHandler),fe.on(document,Si,Vi.clearMenus),fe.on(document,$i,Vi.clearMenus),fe.on(document,Si,Ni,(function(t){t.preventDefault(),Vi.getOrCreateInstance(this).toggle()})),Qt(Vi);const Yi="backdrop",Ki="show",Qi=`mousedown.bs.${Yi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ui={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Gi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Ui}static get NAME(){return Yi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Ki),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Qi,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const Ji=".bs.focustrap",Zi=`focusin${Ji}`,tn=`keydown.tab${Ji}`,en="backward",nn={autofocus:!0,trapElement:null},sn={autofocus:"boolean",trapElement:"element"};class on extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return nn}static get DefaultType(){return sn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,Ji),fe.on(document,Zi,(t=>this._handleFocusin(t))),fe.on(document,tn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,Ji))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===en?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?en:"forward")}}const rn=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",an=".sticky-top",ln="padding-right",cn="margin-right";class hn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,ln,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e+t)),this._setElementAttributes(an,cn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,ln),this._resetElementAttributes(rn,ln),this._resetElementAttributes(an,cn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const dn=".bs.modal",un=`hide${dn}`,fn=`hidePrevented${dn}`,pn=`hidden${dn}`,mn=`show${dn}`,gn=`shown${dn}`,_n=`resize${dn}`,bn=`click.dismiss${dn}`,vn=`mousedown.dismiss${dn}`,yn=`keydown.dismiss${dn}`,wn=`click${dn}.data-api`,En="modal-open",An="show",Tn="modal-static",Cn={backdrop:!0,focus:!0,keyboard:!0},On={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class xn extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new hn,this._addEventListeners()}static get Default(){return Cn}static get DefaultType(){return On}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,mn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(En),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,un).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,dn),fe.off(this._dialog,dn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Gi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new on({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,gn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,yn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,_n,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,vn,(t=>{fe.one(this._element,bn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(En),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,pn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,fn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Tn)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Tn),this._queueCallback((()=>{this._element.classList.remove(Tn),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=xn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,wn,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,mn,(t=>{t.defaultPrevented||fe.one(e,pn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&xn.getInstance(i).hide(),xn.getOrCreateInstance(e).toggle(this)})),Ee(xn),Qt(xn);const kn=".bs.offcanvas",Ln=".data-api",Sn=`load${kn}${Ln}`,Dn="show",$n="showing",In="hiding",Nn=".offcanvas.show",Pn=`show${kn}`,Mn=`shown${kn}`,jn=`hide${kn}`,Fn=`hidePrevented${kn}`,Hn=`hidden${kn}`,Bn=`resize${kn}`,Wn=`click${kn}${Ln}`,zn=`keydown.dismiss${kn}`,Rn={backdrop:!0,keyboard:!0,scroll:!1},qn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Vn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Rn}static get DefaultType(){return qn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,Pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new hn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($n),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Dn),this._element.classList.remove($n),fe.trigger(this._element,Mn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,jn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(In),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Dn,In),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new hn).reset(),fe.trigger(this._element,Hn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Gi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Fn)}:null})}_initializeFocusTrap(){return new on({trapElement:this._element})}_addEventListeners(){fe.on(this._element,zn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Fn))}))}static jQueryInterface(t){return this.each((function(){const e=Vn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Hn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Nn);i&&i!==e&&Vn.getInstance(i).hide(),Vn.getOrCreateInstance(e).toggle(this)})),fe.on(window,Sn,(()=>{for(const t of we.find(Nn))Vn.getOrCreateInstance(t).show()})),fe.on(window,Bn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Vn.getOrCreateInstance(t).hide()})),Ee(Vn),Qt(Vn);const Yn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Un={allowList:Yn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Gn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Jn={entry:"(string|element|function|null)",selector:"(string|element)"};class Zn extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Un}static get DefaultType(){return Gn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Jn)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const ts=new Set(["sanitize","allowList","sanitizeFn"]),es="fade",is="show",ns=".modal",ss="hide.bs.modal",os="hover",rs="focus",as={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ls={allowList:Yn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},cs={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class hs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ls}static get DefaultType(){return cs}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(ns),ss,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(is),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(is),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[rs]=!1,this._activeTrigger[os]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(es,is),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(es),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Zn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(es)}_isShown(){return this.tip&&this.tip.classList.contains(is)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=as[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===os?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===os?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?rs:os]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?rs:os]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(ns),ss,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))ts.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=hs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(hs);const ds={...hs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div 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 //# sourceMappingURL=bootstrap.js.map
\ No newline at end of file
diff --git a/_static/scripts/bootstrap.js.map b/_static/scripts/bootstrap.js.map
index e5bc15752..64e212b1e 100644
--- a/_static/scripts/bootstrap.js.map
+++ b/_static/scripts/bootstrap.js.map
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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.2 (https://getbootstrap.com/)\n  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.2';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? parseSelector(hrefAttribute.trim()) : null;\n  }\n  return selector;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\n\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\n\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Import and setup functions to control Bootstrap's behavior.\nimport \"@popperjs/core\";\nimport { Tooltip } from \"bootstrap\";\nimport { documentReady } from \"./mixin\";\n\nimport \"../styles/bootstrap.scss\";\n\n/*******************************************************************************\n * Trigger tooltips\n */\n\n/**\n * Add tooltip to each element with the \"tooltip\" data-bs-toogle class\n */\nfunction TriggerTooltip() {\n  var tooltipTriggerList = [].slice.call(\n    document.querySelectorAll('[data-bs-toggle=\"tooltip\"]')\n  );\n  tooltipTriggerList.map(function (tooltipTriggerEl) {\n    return new Tooltip(tooltipTriggerEl, { delay: { show: 500, hide: 100 } });\n  });\n}\n\n/*******************************************************************************\n * back to top button\n */\nfunction backToTop() {\n  var btn = document.getElementById(\"pst-back-to-top\");\n  btn.addEventListener(\"click\", function () {\n    document.body.scrollTop = 0;\n    document.documentElement.scrollTop = 0;\n  });\n}\n\nfunction showBackToTop() {\n  var btn = document.getElementById(\"pst-back-to-top\");\n  var header = document\n    .getElementsByClassName(\"bd-header\")[0]\n    .getBoundingClientRect();\n  window.addEventListener(\"scroll\", function () {\n    if (this.oldScroll > this.scrollY && this.scrollY > header.bottom) {\n      btn.style.display = \"block\";\n    } else {\n      btn.style.display = \"none\";\n    }\n    this.oldScroll = this.scrollY;\n  });\n}\n\n/*******************************************************************************\n * Call functions after document loading.\n 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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.2 (https://getbootstrap.com/)\n  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.2';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? parseSelector(hrefAttribute.trim()) : null;\n  }\n  return selector;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\n\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\n\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if 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index db2e63a03..25dee3ec2 100644
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index 22244973f..131caef33 100644
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Symbol(\"webpack error\") : \"__webpack_error__\";\nvar resolveQueue = (queue) => {\n\tif(queue && queue.d < 1) {\n\t\tqueue.d = 1;\n\t\tqueue.forEach((fn) => (fn.r--));\n\t\tqueue.forEach((fn) => (fn.r-- ? fn.r++ : fn()));\n\t}\n}\nvar wrapDeps = (deps) => (deps.map((dep) => {\n\tif(dep !== null && typeof dep === \"object\") {\n\t\tif(dep[webpackQueues]) return dep;\n\t\tif(dep.then) {\n\t\t\tvar queue = [];\n\t\t\tqueue.d = 0;\n\t\t\tdep.then((r) => {\n\t\t\t\tobj[webpackExports] = r;\n\t\t\t\tresolveQueue(queue);\n\t\t\t}, (e) => {\n\t\t\t\tobj[webpackError] = e;\n\t\t\t\tresolveQueue(queue);\n\t\t\t});\n\t\t\tvar obj = {};\n\t\t\tobj[webpackQueues] = (fn) => (fn(queue));\n\t\t\treturn obj;\n\t\t}\n\t}\n\tvar ret = {};\n\tret[webpackQueues] = x => {};\n\tret[webpackExports] = dep;\n\treturn ret;\n}));\n__webpack_require__.a = (module, body, hasAwait) => {\n\tvar queue;\n\thasAwait && ((queue = []).d = -1);\n\tvar depQueues = new Set();\n\tvar exports = module.exports;\n\tvar currentDeps;\n\tvar outerResolve;\n\tvar reject;\n\tvar promise = new Promise((resolve, rej) => {\n\t\treject = rej;\n\t\touterResolve = resolve;\n\t});\n\tpromise[webpackExports] = exports;\n\tpromise[webpackQueues] = (fn) => (queue && fn(queue), depQueues.forEach(fn), promise[\"catch\"](x => {}));\n\tmodule.exports = promise;\n\tbody((deps) => {\n\t\tcurrentDeps = wrapDeps(deps);\n\t\tvar fn;\n\t\tvar getResult = () => (currentDeps.map((d) => {\n\t\t\tif(d[webpackError]) throw d[webpackError];\n\t\t\treturn d[webpackExports];\n\t\t}))\n\t\tvar promise = new Promise((resolve) => {\n\t\t\tfn = () => (resolve(getResult));\n\t\t\tfn.r = 0;\n\t\t\tvar fnQueue = (q) => (q !== queue && !depQueues.has(q) && (depQueues.add(q), q && !q.d && (fn.r++, q.push(fn))));\n\t\t\tcurrentDeps.map((dep) => (dep[webpackQueues](fnQueue)));\n\t\t});\n\t\treturn fn.r ? promise : getResult();\n\t}, (err) => ((err ? reject(promise[webpackError] = err) : outerResolve(exports)), resolveQueue(queue)));\n\tqueue && queue.d < 0 && (queue.d = 0);\n};","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \"div:not(.search-button__search-container) > form.bd-search\"\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  let input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  let searchPopupWrapper = document.querySelector(\".search-button__wrapper\");\n  let hiddenInput = searchPopupWrapper.querySelector(\"input\");\n  if (input === hiddenInput) {\n    searchPopupWrapper.classList.toggle(\"show\");\n  }\n  // when toggling off the search field, remove its focus\n  if (document.activeElement === input) {\n    input.blur();\n  } else {\n    input.focus();\n    input.select();\n    input.scrollIntoView({ block: \"center\" });\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /k/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\")\n    );\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // Add the search button overlay event callback\n  let overlay = document.querySelector(\".search-button__overlay\");\n  if (overlay) {\n    overlay.onclick = toggleSearchField;\n  }\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  let currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      // assume we got a relative path, and fix accordingly. But first, we need to\n      // use `fetch()` to follow redirects so we get the correct final base URL\n      const origin = await fetch(window.location.origin, { method: \"HEAD\" });\n      result = new URL(url, origin.url);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\"\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`\n    );\n    return;\n  }\n  const preferredVersion = 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Symbol(\"webpack error\") : \"__webpack_error__\";\nvar resolveQueue = (queue) => {\n\tif(queue && queue.d < 1) {\n\t\tqueue.d = 1;\n\t\tqueue.forEach((fn) => (fn.r--));\n\t\tqueue.forEach((fn) => (fn.r-- ? fn.r++ : fn()));\n\t}\n}\nvar wrapDeps = (deps) => (deps.map((dep) => {\n\tif(dep !== null && typeof dep === \"object\") {\n\t\tif(dep[webpackQueues]) return dep;\n\t\tif(dep.then) {\n\t\t\tvar queue = [];\n\t\t\tqueue.d = 0;\n\t\t\tdep.then((r) => {\n\t\t\t\tobj[webpackExports] = r;\n\t\t\t\tresolveQueue(queue);\n\t\t\t}, (e) => {\n\t\t\t\tobj[webpackError] = e;\n\t\t\t\tresolveQueue(queue);\n\t\t\t});\n\t\t\tvar obj = {};\n\t\t\tobj[webpackQueues] = (fn) => (fn(queue));\n\t\t\treturn obj;\n\t\t}\n\t}\n\tvar ret = {};\n\tret[webpackQueues] = x => {};\n\tret[webpackExports] = dep;\n\treturn ret;\n}));\n__webpack_require__.a = (module, body, hasAwait) => {\n\tvar queue;\n\thasAwait && ((queue = []).d = -1);\n\tvar depQueues = new Set();\n\tvar exports = module.exports;\n\tvar currentDeps;\n\tvar outerResolve;\n\tvar reject;\n\tvar promise = new Promise((resolve, rej) => {\n\t\treject = rej;\n\t\touterResolve = resolve;\n\t});\n\tpromise[webpackExports] = exports;\n\tpromise[webpackQueues] = (fn) => (queue && fn(queue), depQueues.forEach(fn), promise[\"catch\"](x => {}));\n\tmodule.exports = promise;\n\tbody((deps) => {\n\t\tcurrentDeps = wrapDeps(deps);\n\t\tvar fn;\n\t\tvar getResult = () => (currentDeps.map((d) => {\n\t\t\tif(d[webpackError]) throw d[webpackError];\n\t\t\treturn d[webpackExports];\n\t\t}))\n\t\tvar promise = new Promise((resolve) => {\n\t\t\tfn = () => (resolve(getResult));\n\t\t\tfn.r = 0;\n\t\t\tvar fnQueue = (q) => (q !== queue && !depQueues.has(q) && (depQueues.add(q), q && !q.d && (fn.r++, q.push(fn))));\n\t\t\tcurrentDeps.map((dep) => (dep[webpackQueues](fnQueue)));\n\t\t});\n\t\treturn fn.r ? promise : getResult();\n\t}, (err) => ((err ? reject(promise[webpackError] = err) : outerResolve(exports)), resolveQueue(queue)));\n\tqueue && queue.d < 0 && (queue.d = 0);\n};","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \"div:not(.search-button__search-container) > form.bd-search\"\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  let input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  let searchPopupWrapper = document.querySelector(\".search-button__wrapper\");\n  let hiddenInput = searchPopupWrapper.querySelector(\"input\");\n  if (input === hiddenInput) {\n    searchPopupWrapper.classList.toggle(\"show\");\n  }\n  // when toggling off the search field, remove its focus\n  if (document.activeElement === input) {\n    input.blur();\n  } else {\n    input.focus();\n    input.select();\n    input.scrollIntoView({ block: \"center\" });\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /^k$/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\")\n    );\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // Add the search button overlay event callback\n  let overlay = document.querySelector(\".search-button__overlay\");\n  if (overlay) {\n    overlay.onclick = toggleSearchField;\n  }\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  let currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      // assume we got a relative path, and fix accordingly. But first, we need to\n      // use `fetch()` to follow redirects so we get the correct final base URL\n      const origin = await fetch(window.location.origin, { method: \"HEAD\" });\n      result = new URL(url, origin.url);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\"\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`\n    );\n    return;\n  }\n  const preferredVersion = preferredEntries[0].version;\n  const preferredURL = preferredEntries[0].url;\n  // if already on preferred version, nothing to do\n  const versionsAreComparable = validate(version) && validate(preferredVersion);\n  if (versionsAreComparable && compare(version, preferredVersion, \"=\")) {\n    return;\n  }\n  // now construct the warning banner\n  var outer = document.createElement(\"aside\");\n  // TODO: add to translatable strings\n  outer.setAttribute(\"aria-label\", \"Version warning\");\n  const middle = document.createElement(\"div\");\n  const inner = document.createElement(\"div\");\n  const bold = document.createElement(\"strong\");\n  const button = document.createElement(\"a\");\n  // these classes exist since pydata-sphinx-theme v0.10.0\n  outer.classList = \"bd-header-version-warning container-fluid\";\n  middle.classList = \"bd-header-announcement__content\";\n  inner.classList = \"sidebar-message\";\n  button.classList =\n    \"sd-btn sd-btn-danger sd-shadow-sm sd-text-wrap font-weight-bold ms-3 my-1 align-baseline\";\n  button.href = `${preferredURL}${DOCUMENTATION_OPTIONS.pagename}.html`;\n  button.innerText = \"Switch to stable version\";\n  button.onclick = checkPageExistsAndRedirect;\n  // add the version-dependent text\n  inner.innerText = \"This is documentation for \";\n  const isDev =\n    version.includes(\"dev\") ||\n    version.includes(\"rc\") ||\n    version.includes(\"pre\");\n  const newerThanPreferred =\n    versionsAreComparable && compare(version, preferredVersion, \">\");\n  if (isDev || newerThanPreferred) {\n    bold.innerText = \"an unstable development version\";\n  } else if (versionsAreComparable && compare(version, preferredVersion, \"<\")) {\n    bold.innerText = `an old version (${version})`;\n  } else if (!version) {\n    bold.innerText = \"an unknown version\"; // e.g., an empty string\n  } else {\n    bold.innerText = `version ${version}`;\n  }\n  outer.appendChild(middle);\n  middle.appendChild(inner);\n  inner.appendChild(bold);\n  inner.appendChild(document.createTextNode(\".\"));\n  inner.appendChild(button);\n  const skipLink = document.getElementById(\"pst-skip-link\");\n  skipLink.after(outer);\n}\n\n/*******************************************************************************\n * MutationObserver to move the ReadTheDocs button\n */\n\n/**\n * intercept the RTD flyout and place it in the rtd-footer-container if existing\n * if not it stays where on top of the page\n */\nfunction initRTDObserver() {\n  const mutatedCallback = (mutationList, observer) => {\n    mutationList.forEach((mutation) => {\n      // Check whether the mutation is for RTD, which will have a specific structure\n      if (mutation.addedNodes.length === 0) {\n        return;\n      }\n      if (mutation.addedNodes[0].data === undefined) {\n        return;\n      }\n      if (mutation.addedNodes[0].data.search(\"Inserted RTD Footer\") != -1) {\n        mutation.addedNodes.forEach((node) => {\n          document.getElementById(\"rtd-footer-container\").append(node);\n        });\n      }\n    });\n  };\n\n  const observer = new MutationObserver(mutatedCallback);\n  const config = { childList: true };\n  observer.observe(document.body, config);\n}\n\n// fetch the JSON version data (only once), then use it to populate the version\n// switcher and maybe show the version warning bar\nvar versionSwitcherBtns = document.querySelectorAll(\n  \".version-switcher__button\"\n);\nconst hasSwitcherMenu = versionSwitcherBtns.length > 0;\nconst hasVersionsJSON = DOCUMENTATION_OPTIONS.hasOwnProperty(\n  \"theme_switcher_json_url\"\n);\nconst wantsWarningBanner = DOCUMENTATION_OPTIONS.show_version_warning_banner;\n\nif (hasVersionsJSON && (hasSwitcherMenu || wantsWarningBanner)) {\n  const data = await fetchVersionSwitcherJSON(\n    DOCUMENTATION_OPTIONS.theme_switcher_json_url\n  );\n  populateVersionSwitcher(data, versionSwitcherBtns);\n  if (wantsWarningBanner) {\n    showVersionWarningBanner(data);\n  }\n}\n\n/**\n * Fix bug #1603\n */\nfunction fixMoreLinksInMobileSidebar() {\n  const dropdown = document.querySelector(\n    \".bd-sidebar-primary [id^=pst-nav-more-links]\"\n  );\n  dropdown.classList.add(\"show\");\n}\n\n/*******************************************************************************\n * Call functions after document loading.\n */\n\ndocumentReady(addModeListener);\ndocumentReady(scrollToActive);\ndocumentReady(addTOCInteractivity);\ndocumentReady(setupSearchButtons);\ndocumentReady(initRTDObserver);\ndocumentReady(fixMoreLinksInMobileSidebar);\n","// The module cache\nvar __webpack_module_cache__ = {};\n\n// The require function\nfunction __webpack_require__(moduleId) {\n\t// Check if module is in cache\n\tvar cachedModule = __webpack_module_cache__[moduleId];\n\tif (cachedModule !== undefined) {\n\t\treturn cachedModule.exports;\n\t}\n\t// Create a new module (and put it into the cache)\n\tvar module = __webpack_module_cache__[moduleId] = {\n\t\t// no module.id needed\n\t\t// no module.loaded needed\n\t\texports: {}\n\t};\n\n\t// Execute the module function\n\t__webpack_modules__[moduleId](module, module.exports, __webpack_require__);\n\n\t// Return the exports of the module\n\treturn module.exports;\n}\n\n","// define getter functions for harmony exports\n__webpack_require__.d = (exports, definition) => {\n\tfor(var key in definition) {\n\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n\t\t}\n\t}\n};","__webpack_require__.o = (obj, prop) => (Object.prototype.hasOwnProperty.call(obj, prop))","// startup\n// Load entry module and return exports\n// This entry module used 'module' so it can't be inlined\nvar __webpack_exports__ = __webpack_require__(937);\n"],"names":["webpackQueues","webpackExports","webpackError","resolveQueue","validate","version","test","semver","compare","v1","v2","operator","assertValidOperator","res","n1","validateAndParse","n2","p1","pop","p2","r","compareSegments","split","compareVersions","operatorResMap","includes","TypeError","match","Error","shift","isWildcard","s","tryParse","v","n","parseInt","isNaN","compareStrings","a","b","ap","bp","String","forceType","i","Math","max","length","allowedOperators","Object","keys","op","indexOf","join","documentReady","callback","document","readyState","addEventListener","prefersDark","window","matchMedia","autoTheme","e","documentElement","dataset","theme","matches","setTheme","mode","console","error","colorScheme","querySelectorAll","forEach","el","classList","add","remove","localStorage","setItem","log","onchange","cycleMode","defaultMode","currentMode","getItem","arr","nextPosition","addModeListener","addTOCInteractivity","navLink","parentElement","scrollToActive","querySelector","sidebar","storedScrollTop","sessionStorage","active_pages","latest_active","offset","getBoundingClientRect","y","innerHeight","buffer","scrollTop","clientHeight","findSearchInput","forms","toggleSearchField","input","searchPopupWrapper","toggle","activeElement","blur","focus","select","scrollIntoView","block","useCommandKey","navigator","platform","async","checkPageExistsAndRedirect","event","preventDefault","currentFilePath","DOCUMENTATION_OPTIONS","pagename","tryUrl","currentTarget","getAttribute","otherDocsHomepage","replace","fetch","method","ok","location","href","err","fetchVersionSwitcherJSON","url","result","URL","origin","response","json","populateVersionSwitcher","data","versionSwitcherBtns","btn","hasMatchingPreferredEntry","map","entry","theme_switcher_version_match","preferred","name","some","Boolean","foundMatch","anchor","createElement","setAttribute","span","textContent","appendChild","matchesAndIsPreferred","matchesAndIsFirst","innerText","menu","node","cloneNode","onclick","append","showVersionWarningBanner","VERSION","preferredEntries","filter","howMany","preferredVersion","preferredURL","versionsAreComparable","outer","middle","inner","bold","button","isDev","newerThanPreferred","createTextNode","getElementById","after","initRTDObserver","MutationObserver","mutationList","observer","mutation","addedNodes","undefined","search","observe","body","childList","hasSwitcherMenu","hasVersionsJSON","hasOwnProperty","wantsWarningBanner","show_version_warning_banner","theme_switcher_json_url","fixMoreLinksInMobileSidebar","shortcuts","f","changeSearchShortcutKey","shiftKey","altKey","metaKey","ctrlKey","key","overlay","__webpack_module_cache__","__webpack_require__","moduleId","cachedModule","exports","module","__webpack_modules__","Symbol","queue","d","fn","hasAwait","currentDeps","outerResolve","reject","depQueues","Set","promise","Promise","resolve","rej","x","deps","dep","then","obj","ret","wrapDeps","getResult","fnQueue","q","has","push","definition","o","defineProperty","enumerable","get","prop","prototype","call"],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/searchtools.js b/_static/searchtools.js
index ac4d5861f..7918c3fab 100644
--- a/_static/searchtools.js
+++ b/_static/searchtools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for the full-text search.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -57,14 +57,14 @@ const _removeChildren = (element) => {
 const _escapeRegExp = (string) =>
   string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
 
-const _displayItem = (item, highlightTerms, searchTerms) => {
+const _displayItem = (item, searchTerms, highlightTerms) => {
   const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
-  const docUrlRoot = DOCUMENTATION_OPTIONS.URL_ROOT;
   const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
   const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
   const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+  const contentRoot = document.documentElement.dataset.content_root;
 
-  const [docName, title, anchor, descr] = item;
+  const [docName, title, anchor, descr, score, _filename] = item;
 
   let listItem = document.createElement("li");
   let requestUrl;
@@ -75,29 +75,35 @@ const _displayItem = (item, highlightTerms, searchTerms) => {
     if (dirname.match(/\/index\/$/))
       dirname = dirname.substring(0, dirname.length - 6);
     else if (dirname === "index/") dirname = "";
-    requestUrl = docUrlRoot + dirname;
+    requestUrl = contentRoot + dirname;
     linkUrl = requestUrl;
   } else {
     // normal html builders
-    requestUrl = docUrlRoot + docName + docFileSuffix;
+    requestUrl = contentRoot + docName + docFileSuffix;
     linkUrl = docName + docLinkSuffix;
   }
-  const params = new URLSearchParams();
-  params.set("highlight", [...highlightTerms].join(" "));
   let linkEl = listItem.appendChild(document.createElement("a"));
-  linkEl.href = linkUrl + "?" + params.toString() + anchor;
+  linkEl.href = linkUrl + anchor;
+  linkEl.dataset.score = score;
   linkEl.innerHTML = title;
-  if (descr)
-    listItem.appendChild(document.createElement("span")).innerText =
+  if (descr) {
+    listItem.appendChild(document.createElement("span")).innerHTML =
       " (" + descr + ")";
+    // highlight search terms in the description
+    if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+      highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+  }
   else if (showSearchSummary)
     fetch(requestUrl)
       .then((responseData) => responseData.text())
       .then((data) => {
         if (data)
           listItem.appendChild(
-            Search.makeSearchSummary(data, searchTerms, highlightTerms)
+            Search.makeSearchSummary(data, searchTerms)
           );
+        // highlight search terms in the summary
+        if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+          highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
       });
   Search.output.appendChild(listItem);
 };
@@ -116,15 +122,15 @@ const _finishSearch = (resultCount) => {
 const _displayNextItem = (
   results,
   resultCount,
+  searchTerms,
   highlightTerms,
-  searchTerms
 ) => {
   // results left, load the summary and display it
   // this is intended to be dynamic (don't sub resultsCount)
   if (results.length) {
-    _displayItem(results.pop(), highlightTerms, searchTerms);
+    _displayItem(results.pop(), searchTerms, highlightTerms);
     setTimeout(
-      () => _displayNextItem(results, resultCount, highlightTerms, searchTerms),
+      () => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
       5
     );
   }
@@ -155,10 +161,8 @@ const Search = {
   _pulse_status: -1,
 
   htmlToText: (htmlString) => {
-    const htmlElement = document
-      .createRange()
-      .createContextualFragment(htmlString);
-    _removeChildren(htmlElement.querySelectorAll(".headerlink"));
+    const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+    htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() });
     const docContent = htmlElement.querySelector('[role="main"]');
     if (docContent !== undefined) return docContent.textContent;
     console.warn(
@@ -239,6 +243,12 @@ const Search = {
    * execute search (requires search index to be loaded)
    */
   query: (query) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
     // stem the search terms and add them to the correct list
     const stemmer = new Stemmer();
     const searchTerms = new Set();
@@ -266,6 +276,10 @@ const Search = {
       }
     });
 
+    if (SPHINX_HIGHLIGHT_ENABLED) {  // set in sphinx_highlight.js
+      localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+    }
+
     // console.debug("SEARCH: searching for:");
     // console.info("required: ", [...searchTerms]);
     // console.info("excluded: ", [...excludedTerms]);
@@ -274,6 +288,40 @@ const Search = {
     let results = [];
     _removeChildren(document.getElementById("search-progress"));
 
+    const queryLower = query.toLowerCase();
+    for (const [title, foundTitles] of Object.entries(allTitles)) {
+      if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) {
+        for (const [file, id] of foundTitles) {
+          let score = Math.round(100 * queryLower.length / title.length)
+          results.push([
+            docNames[file],
+            titles[file] !== title ? `${titles[file]} > ${title}` : title,
+            id !== null ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
+    // search for explicit entries in index directives
+    for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+      if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+        for (const [file, id] of foundEntries) {
+          let score = Math.round(100 * queryLower.length / entry.length)
+          results.push([
+            docNames[file],
+            titles[file],
+            id ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
     // lookup as object
     objectTerms.forEach((term) =>
       results.push(...Search.performObjectSearch(term, objectTerms))
@@ -320,7 +368,7 @@ const Search = {
     // console.info("search results:", Search.lastresults);
 
     // print the results
-    _displayNextItem(results, results.length, highlightTerms, searchTerms);
+    _displayNextItem(results, results.length, searchTerms, highlightTerms);
   },
 
   /**
@@ -401,8 +449,8 @@ const Search = {
     // prepare search
     const terms = Search._index.terms;
     const titleTerms = Search._index.titleterms;
-    const docNames = Search._index.docnames;
     const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
     const titles = Search._index.titles;
 
     const scoreMap = new Map();
@@ -499,16 +547,15 @@ const Search = {
   /**
    * helper function to return a node containing the
    * search summary for a given text. keywords is a list
-   * of stemmed words, highlightWords is the list of normal, unstemmed
-   * words. the first one is used to find the occurrence, the
-   * latter for highlighting it.
+   * of stemmed words.
    */
-  makeSearchSummary: (htmlText, keywords, highlightWords) => {
-    const text = Search.htmlToText(htmlText).toLowerCase();
+  makeSearchSummary: (htmlText, keywords) => {
+    const text = Search.htmlToText(htmlText);
     if (text === "") return null;
 
+    const textLower = text.toLowerCase();
     const actualStartPosition = [...keywords]
-      .map((k) => text.indexOf(k.toLowerCase()))
+      .map((k) => textLower.indexOf(k.toLowerCase()))
       .filter((i) => i > -1)
       .slice(-1)[0];
     const startWithContext = Math.max(actualStartPosition - 120, 0);
@@ -516,13 +563,9 @@ const Search = {
     const top = startWithContext === 0 ? "" : "...";
     const tail = startWithContext + 240 < text.length ? "..." : "";
 
-    let summary = document.createElement("div");
+    let summary = document.createElement("p");
     summary.classList.add("context");
-    summary.innerText = top + text.substr(startWithContext, 240).trim() + tail;
-
-    highlightWords.forEach((highlightWord) =>
-      _highlightText(summary, highlightWord, "highlighted")
-    );
+    summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
 
     return summary;
   },
diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js
new file mode 100644
index 000000000..8a96c69a1
--- /dev/null
+++ b/_static/sphinx_highlight.js
@@ -0,0 +1,154 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
+
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
+
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      const rest = document.createTextNode(val.substr(pos + text.length));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          rest,
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+      /* There may be more occurrences of search term in this node. So call this
+       * function recursively on the remaining fragment.
+       */
+      _highlight(rest, addItems, text, className);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
+      }
+    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+  }
+};
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+  /**
+   * highlight the search words provided in localstorage in the text
+   */
+  highlightSearchWords: () => {
+    if (!SPHINX_HIGHLIGHT_ENABLED) return;  // bail if no highlight
+
+    // get and clear terms from localstorage
+    const url = new URL(window.location);
+    const highlight =
+        localStorage.getItem("sphinx_highlight_terms")
+        || url.searchParams.get("highlight")
+        || "";
+    localStorage.removeItem("sphinx_highlight_terms")
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+
+    // get individual terms from highlight string
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
+
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:SphinxHighlight.hideSearchWords()">' +
+            _("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    localStorage.removeItem("sphinx_highlight_terms")
+  },
+
+  initEscapeListener: () => {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+      if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+        SphinxHighlight.hideSearchWords();
+        event.preventDefault();
+      }
+    });
+  },
+};
+
+_ready(() => {
+  /* Do not call highlightSearchWords() when we are on the search page.
+   * It will highlight words from the *previous* search query.
+   */
+  if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
+  SphinxHighlight.initEscapeListener();
+});
diff --git a/_static/styles/pydata-sphinx-theme.css b/_static/styles/pydata-sphinx-theme.css
index 9d12a9657..b81ac474d 100644
--- a/_static/styles/pydata-sphinx-theme.css
+++ b/_static/styles/pydata-sphinx-theme.css
@@ -1,2 +1,2 @@
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index 25f5c7125..cf7f6abd8 100644
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details.toggle-details summary{border-left:3px solid var(--pst-color-primary)}html div.rendered_html html .jp-RenderedHTMLCommon table{table-layout:auto}html[data-theme=dark] .bd-content .nboutput .output_area.rendered_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}html[data-theme=dark] .bd-content .nboutput .output_area.stderr{background:var(--pst-color-danger)}div.nblast.container{margin-bottom:1rem}div.cell_output .output{max-width:100%;overflow-x:auto}html[data-theme=dark] .bd-content div.cell_output img,html[data-theme=dark] .bd-content div.cell_output .text_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}.bd-content div.cell_input{display:flex;flex-direction:column;justify-content:stretch}.bd-content div.cell_input,.bd-content div.output{border-radius:.25rem}.bd-content div.output table{table-layout:auto}html[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded{border-radius:0;padding:0}.bd-search-container div#search-results>h2{font-size:var(--pst-font-size-icon);margin-top:0}.bd-search-container div#search-results p.search-summary{color:var(--pst-color-text-muted)}.bd-search-container ul.search{margin:0;list-style:none}.bd-search-container ul.search li{background-image:none;padding:1rem 0;margin:1rem 0;border-top:1px solid var(--pst-color-text-muted)}.bd-search-container ul.search li>a{font-size:1.2em}.bd-search-container ul.search li div.context,.bd-search-container ul.search li p.context{color:var(--pst-color-text-base);margin:.5em 0 0 0}.bd-search-container ul.search li div.context a:before,.bd-search-container ul.search li p.context a:before{content:\"#\";padding-right:.2em;color:var(--pst-color-text-muted)}","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on bootstrap sizing\n  --pst-font-size-h1: 2.5rem;\n  --pst-font-size-h2: 2rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1.1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 400;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, BlinkMacSystemFont, Segoe UI,\n    \"Helvetica Neue\", Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji,\n    Segoe UI Symbol;\n  --pst-font-family-monospace-system: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: 1.65;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n  color: var(--pst-color-text-base);\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    opacity: 0.7;\n    font-size: 0.8em;\n    padding: 0 4px 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    transition: all 0.2s ease-out;\n    user-select: none;\n\n    &:hover {\n      opacity: 1;\n    }\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n.heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend .heading-style;\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 80vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n}\n","/**\n * Consistent styling for links\n **/\n\n// Define some useful variables for links styling consistency\n//\n//  Thickness of the underline for links\n// the default will be either:\n//  - 1px\n// - 0.0625rem if it's thicker than 1px because the user has changed the text\n//   size in their browser\n$link-underline-thickness: unquote(\"max(1px, .0625rem)\") !default;\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: unquote(\"max(3px, .1875rem, .12em)\") !default;\n\n//  Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n    // Disable ink skipping on underlines on hover. Browsers haven't\n    // standardised on this part of the spec yet, so set both properties\n    text-decoration-skip-ink: none; // Chromium, Firefox\n    text-decoration-skip: none; // Safari\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover\n@mixin link-style-hover {\n  &:hover {\n    @include link-decoration;\n    @include link-decoration-hover;\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Default link styles\n//\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n\n  color: var(--pst-color-link);\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n  @include focus-indicator;\n}\n\n// Text link styles\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n  @include focus-indicator;\n}\n\n// Sidebar and TOC links\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Sidebar current page link styles\n//\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    box-shadow: inset\n      $link-hover-decoration-thickness\n      0px\n      0px\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar current page link styles\n//\n// Adds a bottom underline, this leaves enough space for the hover state without\n// cluttering the navbar.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-navbar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    border-bottom: $link-hover-decoration-thickness\n      solid\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar icon links hover styles\n//\n// Adds a bottom box-shadow - since there is no text we cannot use text-decoration\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin icon-navbar-hover {\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @if $link-hover-decoration-thickness {\n      box-shadow: 0px\n        $link-hover-decoration-thickness\n        0px\n        var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Focus indicator\n@mixin focus-indicator {\n  &:focus-visible {\n    outline: 2px solid var(--pst-color-accent);\n  }\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n$accordion-button-focus-border-color:     $input-focus-border-color !default;\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-active-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n","/***\n * Rules for the UX/UI of skip navigation link btn. \n *It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  // Ensure we are using a WCAG conformant colour\n  color: var(--pst-color-warning-text) !important;\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n  &:focus {\n    transform: translateY(0%);\n    // ensure this is visible\n    outline: 3px solid $foundation-black;\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n",".bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  &:after {\n    position: absolute;\n    width: 100%;\n    height: 100%;\n    left: 0;\n    top: 0;\n    content: \"\";\n    z-index: -1; // So it doesn't hover over the content\n  }\n\n  &:empty {\n    display: none;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  &:after {\n    background-color: var(--pst-color-secondary-bg);\n  }\n}\n\n.bd-header-version-warning {\n  &:after {\n    background-color: var(--pst-color-danger-bg);\n  }\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the header items on mobile\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: flex;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: 1rem;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  .navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Center align on wide screens so the dropdown button is centered properly\n      align-items: center;\n    }\n\n    li a.nav-link {\n      @include link-style-text;\n    }\n\n    // Current page is always underlined in the navbar\n    > .current > .nav-link {\n      @include link-navbar-current;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        color: var(--pst-color-text-muted);\n        border: none;\n        @include link-style-hover;\n        @include focus-indicator;\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover):not(:active) {\n            background-color: inherit;\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  @include link-style-hover;\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external:after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n/**\n * Showing and hiding the sidebar toggle buttons and header items\n */\n\n// Hide the header items on mobile\n.bd-header {\n  // Toggle labels\n  label {\n    &.sidebar-toggle {\n      display: flex;\n      cursor: pointer;\n      font-size: var(--pst-font-size-icon);\n      align-items: center;\n      color: var(--pst-color-muted);\n      margin-bottom: 0;\n      padding-bottom: 0.25rem;\n    }\n\n    &.primary-toggle {\n      margin-right: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-primary) {\n        display: none;\n      }\n    }\n\n    &.secondary-toggle {\n      margin-left: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n        display: none;\n      }\n    }\n    @include icon-navbar-hover;\n    @include focus-indicator;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n    }\n  }\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  display: flex;\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n    height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__start,\n  .header-article-items__end {\n    display: flex;\n    align-items: start;\n    gap: 0.5rem;\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem 1rem 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    // The dropdown toggle for extra links just shows them all instead.\n    .nav-item.dropdown {\n      // On mobile, the dropdown behaves like any other link, no hiding\n      button {\n        display: none;\n      }\n\n      .dropdown-menu {\n        display: flex;\n        flex-direction: column;\n        padding: 0;\n        margin: 0;\n        border: none;\n        background-color: inherit;\n        font-size: inherit;\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 0.5rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n  .list-caption {\n    list-style: none;\n    padding-left: 0px;\n  }\n  li {\n    position: relative;\n    // If it has children, add a bit more padding to wrap the content to avoid\n    // overlapping with the <label>\n    &.has-children {\n      > .reference {\n        padding-right: 30px;\n      }\n    }\n  }\n  // Navigation item chevrons\n  label.toctree-toggle {\n    position: absolute;\n    top: 0;\n    right: 0;\n    height: 30px;\n    width: 30px;\n\n    cursor: pointer;\n\n    display: flex;\n    justify-content: center;\n    align-items: center;\n\n    &:hover {\n      background: var(--pst-color-surface);\n    }\n\n    i {\n      display: inline-block;\n      font-size: 0.75rem;\n      text-align: center;\n      &:hover {\n        color: var(--pst-color-primary);\n      }\n    }\n  }\n  .label-parts {\n    width: 100%;\n    height: 100%;\n    &:hover {\n      background: none;\n    }\n    i {\n      width: 30px;\n      position: absolute;\n      top: 0.3em; // aligning chevron with text\n      right: 0em; // aligning chevron to the right\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -1rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: 0.25rem 0.65rem;\n    @include link-sidebar;\n    box-shadow: none;\n\n    &.reference.external {\n      &:after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current {\n    > a {\n      @include link-sidebar-current;\n      background-color: transparent;\n    }\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem 0.5rem;\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Buttons and overlays\n*/\ninput.sidebar-toggle {\n  display: none;\n}\n\n// Background overlays\nlabel.overlay {\n  background-color: black;\n  opacity: 0.5;\n  height: 0;\n  width: 0;\n  position: fixed;\n  top: 0;\n  left: 0;\n  transition: opacity $animation-time ease-out;\n  z-index: $zindex-modal-backdrop;\n}\n\ninput {\n  // Show the correct overlay when its input is checked\n  &#__primary:checked + label.overlay.overlay-primary,\n  &#__secondary:checked + label.overlay.overlay-secondary {\n    height: 100vh;\n    width: 100vw;\n  }\n\n  // Primary sidebar slides in from the left\n  &#__primary:checked ~ .bd-container .bd-sidebar-primary {\n    visibility: visible;\n    margin-left: 0;\n  }\n\n  // Secondary sidebar slides in from the right\n  &#__secondary:checked ~ .bd-container .bd-sidebar-secondary {\n    visibility: visible;\n    margin-right: 0;\n  }\n}\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * Behavior for sliding drawer elements that will be toggled with an input\n *\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition: visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n// Primary sidebar hides/shows at earlier widths\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  label.sidebar-toggle.primary-toggle {\n    display: none;\n  }\n\n  input#__primary {\n    &:checked + label.overlay.overlay-primary {\n      height: 0;\n      width: 0;\n    }\n  }\n\n  .bd-sidebar-primary {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home):before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.navbar-icon-links {\n  display: flex;\n  flex-direction: row;\n  column-gap: 1rem;\n  flex-wrap: wrap;\n\n  // Remove the padding so that we can define it with flexbox gap above\n  li.nav-item a.nav-link {\n    padding-left: 0;\n    padding-right: 0;\n    @include icon-navbar-hover;\n  }\n\n  // Spacing and centering\n  a span {\n    display: flex;\n    align-items: center;\n  }\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter:before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab:before {\n      color: #548;\n    }\n\n    &.fa-bitbucket:before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  // remove underline from brand title on default state\n  a {\n    text-decoration: none;\n  }\n  &:hover {\n    @include link-style-hover;\n  }\n  &:visited {\n    &:hover {\n      @include link-style-hover;\n    }\n  }\n}\n","/**\n * Navigation text links in the navbar\n */\n.navbar-nav {\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: 0.25rem;\n      padding-bottom: 0.25rem;\n      @include link-style-text;\n    }\n  }\n\n  /**\n   * Togglable expand/collapse\n   * This is only applicable to the primary sidebar which has these checkboxes\n   */\n  .toctree-checkbox {\n    position: absolute;\n    display: none;\n  }\n\n  .toctree-checkbox {\n    ~ ul {\n      display: none;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(0deg);\n    }\n  }\n  .toctree-checkbox:checked {\n    ~ ul {\n      display: block;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(180deg);\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover p.prev-next-title {\n      @include link-style-hover;\n    }\n    // Exception here - keep visited in the default link colour\n    // it still should hover on the default link hover colour\n    &:visited p.prev-next-title {\n      color: var(--pst-color-link);\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input {\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      -webkit-appearance: none;\n      appearance: none;\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: flex;\n    position: absolute;\n    right: 0.5rem;\n    color: var(--pst-color-border);\n  }\n}\n\n.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n\n  &:focus,\n  &:focus-visible {\n    border: none;\n    box-shadow: none;\n    outline: 3px solid var(--pst-color-accent);\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n\n// Search link icon should be a bit bigger since it is separate from icon links\n.search-button {\n  display: flex;\n  align-items: center;\n  align-content: center;\n  color: var(--pst-color-text-muted);\n  // Needed to match other icons hover\n  padding: 0 0 0.25rem 0;\n  border-radius: 0;\n  @include icon-navbar-hover;\n  @include focus-indicator;\n\n  i {\n    font-size: 1.3rem;\n  }\n}\n\n// __search-container will only show up when we use the search pop-up bar\n.search-button__search-container,\n.search-button__overlay {\n  display: none;\n}\n.search-button__wrapper.show {\n  .search-button__search-container {\n    display: flex;\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n  }\n\n  .search-button__overlay {\n    display: flex;\n    position: fixed;\n    z-index: $zindex-modal-backdrop;\n    background-color: black;\n    opacity: 0.5;\n    width: 100%;\n    height: 100%;\n    top: 0px;\n    left: 0px;\n  }\n\n  form.bd-search {\n    flex-grow: 1;\n    padding-top: 0;\n    padding-bottom: 0;\n  }\n\n  // Font and input text a bit bigger\n  svg,\n  input {\n    font-size: var(--pst-font-size-icon);\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: 1.5em;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    border: 2px solid var(--pst-color-link-hover);\n  }\n  &:focus-visible {\n    border: 2px solid var(--pst-color-accent);\n  }\n\n  // The keyboard shotcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow();\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n      &:hover {\n        box-shadow: inset 0px 0px 50px 50px rgba(0, 0, 0, 0.25);\n      }\n\n      &:before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  // overide bootstrap settings\n  margin: 0 -0.5rem;\n  padding: 0; // We pad the `span` not the container\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include focus-indicator;\n\n  span {\n    display: none;\n    padding: 0.5em;\n\n    @include icon-navbar-hover;\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\nhtml[data-mode=\"auto\"] .theme-switch-button span[data-mode=\"auto\"] {\n  display: flex;\n}\nhtml[data-mode=\"light\"] .theme-switch-button span[data-mode=\"light\"] {\n  display: flex;\n}\nhtml[data-mode=\"dark\"] .theme-switch-button span[data-mode=\"dark\"] {\n  display: flex;\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  @include link-style-hover;\n  @include focus-indicator;\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n    @include link-style-hover;\n    &:hover {\n      background-color: var(--pst-color-surface);\n    }\n    &.active {\n      @include link-sidebar-current;\n      position: relative;\n      z-index: 1;\n\n      span:before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav,\n.list-caption {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: 0.125rem 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &:before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &:before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &:before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &:before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n",".bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem; // ignore sidebar padding\n\n  .rst-versions.rst-badge {\n    position: unset;\n    font-size: 0.9em;\n    font-family: var(--pst-font-family-base);\n    max-width: unset;\n\n    .rst-current-version {\n      display: flex;\n      align-items: center;\n      gap: 0.2rem;\n      height: 2.5rem;\n      transition: background-color 0.2s ease-out;\n      background-color: var(--pst-color-background);\n      color: var(--pst-color-success);\n      border-top: 1px solid var(--pst-color-border);\n    }\n\n    .fa.fa-book {\n      color: var(--pst-color-text-muted);\n      margin-right: auto;\n\n      &::after {\n        color: var(--pst-color-text-base);\n        content: \"Read The Docs\";\n        font-family: var(--pst-font-family-base);\n        font-weight: var(--pst-admonition-font-weight-heading);\n      }\n    }\n    .fa.fa-caret-down {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  .rst-versions.rst-badge.shift-up {\n    .rst-current-version {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n  }\n\n  .rst-other-versions {\n    background-color: var(--pst-color-surface);\n    color: var(--pst-color-text-base);\n\n    dl {\n      dd a {\n        color: var(--pst-color-text-muted);\n      }\n    }\n\n    hr {\n      background-color: var(--pst-color-border);\n    }\n\n    small a {\n      color: var(--pst-color-link);\n    }\n\n    input {\n      padding-left: 0.5rem;\n      border: 1px solid var(--pst-color-border);\n      background-color: var(--pst-color-surface);\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-color-info-bg);\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &:after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &:after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &:after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 0.2rem;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0rem;\n      margin-right: 0rem;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n  @include box-shadow();\n\n  .topic-title {\n    margin: 0 0 0.5rem 0;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n// loading the math module\n@use \"sass:math\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &:before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if type-of($color) == string {\n    $color: from-hex($color);\n  }\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: str-length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: str-slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if index($hex, $c) == null {\n      @return $string;\n    }\n\n    @if str-length($r) < $max {\n      $r: $r + $c;\n    } @else if str-length($g) < $max {\n      $g: $g + $c;\n    } @else if str-length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(_hex-to-dec($r), _hex-to-dec($g), _hex-to-dec($b));\n}\n\n@function _hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: to-lower-case($string);\n  $length: str-length($string);\n\n  $dec: 0;\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: index($hex, str-slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0em 0em 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors*/\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple) {\n  //increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\n\n// Fix for Sphinx's \"highlight\" directive - this is an issue with our accessible pygments theme\n// and the colour we are using for the background of the code blocks.\nhtml[data-theme=\"light\"] .highlight .nf {\n  color: #0078a1 !important;\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child):before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child):after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n  -webkit-user-select: text; /* Safari fallback only */\n  -webkit-user-select: none; /* Chrome/Safari */\n  -moz-user-select: none; /* Firefox */\n  -ms-user-select: none; /* IE10+ */\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-surface);\n\n  //hack to make the text in the blockquote selectable\n  &:before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  color: var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download:before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\n// ensure table will fit in the article width and make them y-scrollable\ntable {\n  display: table;\n  overflow: auto;\n\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-align\\:left {\n    text-align: left;\n  }\n\n  &.text-align\\:right {\n    text-align: right;\n  }\n\n  &.text-align\\:center {\n    text-align: center;\n  }\n}\n\n// override bootstrap background colors\n.table {\n  --bs-table-bg: transparent;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0em;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-direction: row;\n      flex-flow: wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i:before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left:before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right:before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-direction: row;\n      flex-wrap: wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Removes the button background so we more naturally blend with the code cell.\n  background-color: unset;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left:after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #ffffff;\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"heading-color\": (\n    \"light\": #{$foundation-white},\n    \"dark\": #{$foundation-black},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if str-index($key, $mode) != null {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if str-index($key, \"bg\") != null {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n  }\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark):not(.dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark):not(.dark-light) {\n      background: rgb(255, 255, 255);\n      border-radius: 0.25rem;\n    }\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:meta\";\n@use \"sass:color\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n\n$all-colors: map-merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --pst-color-#{$name}-highlight: #{darken($value, 15%)};\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map-get($all-colors, $name);\n      @if type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if str-index($key, $mode) != null {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if str-index($key, \"bg\") != null {\n              --sd-color-#{$name}-bg: #{$value};\n              // create local variable\n              $bg-var: --sd-color-#{$name}-bg;\n              $value: check-color($value);\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map-get($all-colors, $name);\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow();\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  // TODO - --pst-color-panel-background is not defined... where is this coming from?\n  .sd-card-header {\n    background-color: var(--pst-color-panel-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n  .sd-card-footer {\n    background-color: var(--pst-color-panel-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-panel-background);\n  }\n}\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-color: transparent transparent var(--pst-color-primary); // top LR bottom\n      color: var(--pst-color-primary);\n    }\n\n    // Hover label\n    &:not(:checked) + label:hover {\n      border-color: var(--pst-color-secondary);\n      color: var(--pst-color-secondary);\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-text-muted);\n    border-top: 0.125rem solid transparent; // so hover isn't just color change\n    padding-top: 0.5em; // same as bottom padding, so hover overline looks OK\n    // Hovered label\n    html &:hover {\n      color: var(--pst-color-secondary);\n      border-color: var(--pst-color-secondary);\n    }\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0px !important;\n  summary.sd-card-header {\n    border: 0 !important;\n    & + div.sd-summary-content {\n      border: 0;\n    }\n  }\n  // Drop shadow should behave same as admonitions\n  @include box-shadow();\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n    & + div.sd-summary-content {\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n */\n\n.bd-content {\n  // Admonition toggles\n  .admonition {\n    button.toggle-button {\n      color: inherit;\n    }\n  }\n\n  // Details buttons\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  table {\n    table-layout: auto;\n  }\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  .nboutput {\n    .output_area.rendered_html {\n      @include cell-output-background;\n    }\n\n    .output_area.stderr {\n      background: var(--pst-color-danger);\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  div.cell_output {\n    img,\n    .text_html {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 0;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a:before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
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details.toggle-details summary{border-left:3px solid var(--pst-color-primary)}html div.rendered_html html .jp-RenderedHTMLCommon table{table-layout:auto}html[data-theme=dark] .bd-content .nboutput .output_area.rendered_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}html[data-theme=dark] .bd-content .nboutput .output_area.stderr{background:var(--pst-color-danger)}div.nblast.container{margin-bottom:1rem}div.cell_output .output{max-width:100%;overflow-x:auto}html[data-theme=dark] .bd-content div.cell_output img,html[data-theme=dark] .bd-content div.cell_output .text_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}.bd-content div.cell_input{display:flex;flex-direction:column;justify-content:stretch}.bd-content div.cell_input,.bd-content div.output{border-radius:.25rem}.bd-content div.output table{table-layout:auto}html[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded{border-radius:0;padding:0}.bd-search-container div#search-results>h2{font-size:var(--pst-font-size-icon);margin-top:0}.bd-search-container div#search-results p.search-summary{color:var(--pst-color-text-muted)}.bd-search-container ul.search{margin:0;list-style:none}.bd-search-container ul.search li{background-image:none;padding:1rem 0;margin:1rem 0;border-top:1px solid var(--pst-color-text-muted)}.bd-search-container ul.search li>a{font-size:1.2em}.bd-search-container ul.search li div.context,.bd-search-container ul.search li p.context{color:var(--pst-color-text-base);margin:.5em 0 0 0}.bd-search-container ul.search li div.context a:before,.bd-search-container ul.search li p.context a:before{content:\"#\";padding-right:.2em;color:var(--pst-color-text-muted)}","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on bootstrap sizing\n  --pst-font-size-h1: 2.5rem;\n  --pst-font-size-h2: 2rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1.1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 400;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, BlinkMacSystemFont, Segoe UI,\n    \"Helvetica Neue\", Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji,\n    Segoe UI Symbol;\n  --pst-font-family-monospace-system: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: 1.65;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n  color: var(--pst-color-text-base);\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    opacity: 0.7;\n    font-size: 0.8em;\n    padding: 0 4px 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    transition: all 0.2s ease-out;\n    user-select: none;\n\n    &:hover {\n      opacity: 1;\n    }\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n.heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend .heading-style;\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n}\n","/**\n * Consistent styling for links\n **/\n\n// Define some useful variables for links styling consistency\n//\n//  Thickness of the underline for links\n// the default will be either:\n//  - 1px\n// - 0.0625rem if it's thicker than 1px because the user has changed the text\n//   size in their browser\n$link-underline-thickness: unquote(\"max(1px, .0625rem)\") !default;\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: unquote(\"max(3px, .1875rem, .12em)\") !default;\n\n//  Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n    // Disable ink skipping on underlines on hover. Browsers haven't\n    // standardised on this part of the spec yet, so set both properties\n    text-decoration-skip-ink: none; // Chromium, Firefox\n    text-decoration-skip: none; // Safari\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover\n@mixin link-style-hover {\n  &:hover {\n    @include link-decoration;\n    @include link-decoration-hover;\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Default link styles\n//\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n\n  color: var(--pst-color-link);\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n  @include focus-indicator;\n}\n\n// Text link styles\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n  @include focus-indicator;\n}\n\n// Sidebar and TOC links\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Sidebar current page link styles\n//\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    box-shadow: inset\n      $link-hover-decoration-thickness\n      0px\n      0px\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar current page link styles\n//\n// Adds a bottom underline, this leaves enough space for the hover state without\n// cluttering the navbar.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-navbar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    border-bottom: $link-hover-decoration-thickness\n      solid\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar icon links hover styles\n//\n// Adds a bottom box-shadow - since there is no text we cannot use text-decoration\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin icon-navbar-hover {\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @if $link-hover-decoration-thickness {\n      box-shadow: 0px\n        $link-hover-decoration-thickness\n        0px\n        var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Focus indicator\n@mixin focus-indicator {\n  &:focus-visible {\n    outline: 2px solid var(--pst-color-accent);\n  }\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n$accordion-button-focus-border-color:     $input-focus-border-color !default;\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-active-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n","/***\n * Rules for the UX/UI of skip navigation link btn. \n *It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  // Ensure we are using a WCAG conformant colour\n  color: var(--pst-color-warning-text) !important;\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n  &:focus {\n    transform: translateY(0%);\n    // ensure this is visible\n    outline: 3px solid $foundation-black;\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n",".bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  &:after {\n    position: absolute;\n    width: 100%;\n    height: 100%;\n    left: 0;\n    top: 0;\n    content: \"\";\n    z-index: -1; // So it doesn't hover over the content\n  }\n\n  &:empty {\n    display: none;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  &:after {\n    background-color: var(--pst-color-secondary-bg);\n  }\n}\n\n.bd-header-version-warning {\n  &:after {\n    background-color: var(--pst-color-danger-bg);\n  }\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the header items on mobile\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: flex;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: 1rem;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  .navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Center align on wide screens so the dropdown button is centered properly\n      align-items: center;\n    }\n\n    li a.nav-link {\n      @include link-style-text;\n    }\n\n    // Current page is always underlined in the navbar\n    > .current > .nav-link {\n      @include link-navbar-current;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        color: var(--pst-color-text-muted);\n        border: none;\n        @include link-style-hover;\n        @include focus-indicator;\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover):not(:active) {\n            background-color: inherit;\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  @include link-style-hover;\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external:after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n/**\n * Showing and hiding the sidebar toggle buttons and header items\n */\n\n// Hide the header items on mobile\n.bd-header {\n  // Toggle labels\n  label {\n    &.sidebar-toggle {\n      display: flex;\n      cursor: pointer;\n      font-size: var(--pst-font-size-icon);\n      align-items: center;\n      color: var(--pst-color-muted);\n      margin-bottom: 0;\n      padding-bottom: 0.25rem;\n    }\n\n    &.primary-toggle {\n      margin-right: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-primary) {\n        display: none;\n      }\n    }\n\n    &.secondary-toggle {\n      margin-left: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n        display: none;\n      }\n    }\n    @include icon-navbar-hover;\n    @include focus-indicator;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n    }\n  }\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  display: flex;\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n    height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__start,\n  .header-article-items__end {\n    display: flex;\n    align-items: start;\n    gap: 0.5rem;\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem 1rem 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    // The dropdown toggle for extra links just shows them all instead.\n    .nav-item.dropdown {\n      // On mobile, the dropdown behaves like any other link, no hiding\n      button {\n        display: none;\n      }\n\n      .dropdown-menu {\n        display: flex;\n        flex-direction: column;\n        padding: 0;\n        margin: 0;\n        border: none;\n        background-color: inherit;\n        font-size: inherit;\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 0.5rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n  .list-caption {\n    list-style: none;\n    padding-left: 0px;\n  }\n  li {\n    position: relative;\n    // If it has children, add a bit more padding to wrap the content to avoid\n    // overlapping with the <label>\n    &.has-children {\n      > .reference {\n        padding-right: 30px;\n      }\n    }\n  }\n  // Navigation item chevrons\n  label.toctree-toggle {\n    position: absolute;\n    top: 0;\n    right: 0;\n    height: 30px;\n    width: 30px;\n\n    cursor: pointer;\n\n    display: flex;\n    justify-content: center;\n    align-items: center;\n\n    &:hover {\n      background: var(--pst-color-surface);\n    }\n\n    i {\n      display: inline-block;\n      font-size: 0.75rem;\n      text-align: center;\n      &:hover {\n        color: var(--pst-color-primary);\n      }\n    }\n  }\n  .label-parts {\n    width: 100%;\n    height: 100%;\n    &:hover {\n      background: none;\n    }\n    i {\n      width: 30px;\n      position: absolute;\n      top: 0.3em; // aligning chevron with text\n      right: 0em; // aligning chevron to the right\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -1rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: 0.25rem 0.65rem;\n    @include link-sidebar;\n    box-shadow: none;\n\n    &.reference.external {\n      &:after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current {\n    > a {\n      @include link-sidebar-current;\n      background-color: transparent;\n    }\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem 0.5rem;\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Buttons and overlays\n*/\ninput.sidebar-toggle {\n  display: none;\n}\n\n// Background overlays\nlabel.overlay {\n  background-color: black;\n  opacity: 0.5;\n  height: 0;\n  width: 0;\n  position: fixed;\n  top: 0;\n  left: 0;\n  transition: opacity $animation-time ease-out;\n  z-index: $zindex-modal-backdrop;\n}\n\ninput {\n  // Show the correct overlay when its input is checked\n  &#__primary:checked + label.overlay.overlay-primary,\n  &#__secondary:checked + label.overlay.overlay-secondary {\n    height: 100vh;\n    width: 100vw;\n  }\n\n  // Primary sidebar slides in from the left\n  &#__primary:checked ~ .bd-container .bd-sidebar-primary {\n    visibility: visible;\n    margin-left: 0;\n  }\n\n  // Secondary sidebar slides in from the right\n  &#__secondary:checked ~ .bd-container .bd-sidebar-secondary {\n    visibility: visible;\n    margin-right: 0;\n  }\n}\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * Behavior for sliding drawer elements that will be toggled with an input\n *\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition: visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n// Primary sidebar hides/shows at earlier widths\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  label.sidebar-toggle.primary-toggle {\n    display: none;\n  }\n\n  input#__primary {\n    &:checked + label.overlay.overlay-primary {\n      height: 0;\n      width: 0;\n    }\n  }\n\n  .bd-sidebar-primary {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home):before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.navbar-icon-links {\n  display: flex;\n  flex-direction: row;\n  column-gap: 1rem;\n  flex-wrap: wrap;\n\n  // Remove the padding so that we can define it with flexbox gap above\n  li.nav-item a.nav-link {\n    padding-left: 0;\n    padding-right: 0;\n    @include icon-navbar-hover;\n  }\n\n  // Spacing and centering\n  a span {\n    display: flex;\n    align-items: center;\n  }\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter:before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab:before {\n      color: #548;\n    }\n\n    &.fa-bitbucket:before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  // remove underline from brand title on default state\n  a {\n    text-decoration: none;\n  }\n  &:hover {\n    @include link-style-hover;\n  }\n  &:visited {\n    &:hover {\n      @include link-style-hover;\n    }\n  }\n}\n","/**\n * Navigation text links in the navbar\n */\n.navbar-nav {\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: 0.25rem;\n      padding-bottom: 0.25rem;\n      @include link-style-text;\n    }\n  }\n\n  /**\n   * Togglable expand/collapse\n   * This is only applicable to the primary sidebar which has these checkboxes\n   */\n  .toctree-checkbox {\n    position: absolute;\n    display: none;\n  }\n\n  .toctree-checkbox {\n    ~ ul {\n      display: none;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(0deg);\n    }\n  }\n  .toctree-checkbox:checked {\n    ~ ul {\n      display: block;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(180deg);\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover p.prev-next-title {\n      @include link-style-hover;\n    }\n    // Exception here - keep visited in the default link colour\n    // it still should hover on the default link hover colour\n    &:visited p.prev-next-title {\n      color: var(--pst-color-link);\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input {\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      -webkit-appearance: none;\n      appearance: none;\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: flex;\n    position: absolute;\n    right: 0.5rem;\n    color: var(--pst-color-border);\n  }\n}\n\n.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n\n  &:focus,\n  &:focus-visible {\n    border: none;\n    box-shadow: none;\n    outline: 3px solid var(--pst-color-accent);\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n\n// Search link icon should be a bit bigger since it is separate from icon links\n.search-button {\n  display: flex;\n  align-items: center;\n  align-content: center;\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include icon-navbar-hover;\n  @include focus-indicator;\n\n  i {\n    font-size: 1.3rem;\n  }\n}\n\n// __search-container will only show up when we use the search pop-up bar\n.search-button__search-container,\n.search-button__overlay {\n  display: none;\n}\n.search-button__wrapper.show {\n  .search-button__search-container {\n    display: flex;\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n  }\n\n  .search-button__overlay {\n    display: flex;\n    position: fixed;\n    z-index: $zindex-modal-backdrop;\n    background-color: black;\n    opacity: 0.5;\n    width: 100%;\n    height: 100%;\n    top: 0px;\n    left: 0px;\n  }\n\n  form.bd-search {\n    flex-grow: 1;\n    padding-top: 0;\n    padding-bottom: 0;\n  }\n\n  // Font and input text a bit bigger\n  svg,\n  input {\n    font-size: var(--pst-font-size-icon);\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: 1.5em;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    border: 2px solid var(--pst-color-link-hover);\n  }\n  &:focus-visible {\n    border: 2px solid var(--pst-color-accent);\n  }\n\n  // The keyboard shotcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow();\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n      &:hover {\n        box-shadow: inset 0px 0px 50px 50px rgba(0, 0, 0, 0.25);\n      }\n\n      &:before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  // overide bootstrap settings\n  margin: 0 -0.5rem;\n  padding: 0; // We pad the `span` not the container\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include focus-indicator;\n\n  span {\n    display: none;\n    padding: 0.5em;\n\n    @include icon-navbar-hover;\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\nhtml[data-mode=\"auto\"] .theme-switch-button span[data-mode=\"auto\"] {\n  display: flex;\n}\nhtml[data-mode=\"light\"] .theme-switch-button span[data-mode=\"light\"] {\n  display: flex;\n}\nhtml[data-mode=\"dark\"] .theme-switch-button span[data-mode=\"dark\"] {\n  display: flex;\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  @include link-style-hover;\n  @include focus-indicator;\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n    @include link-style-hover;\n    &:hover {\n      background-color: var(--pst-color-surface);\n    }\n    &.active {\n      @include link-sidebar-current;\n      position: relative;\n      z-index: 1;\n\n      span:before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav,\n.list-caption {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: 0.125rem 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &:before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &:before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &:before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &:before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n",".bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem; // ignore sidebar padding\n\n  .rst-versions.rst-badge {\n    position: unset;\n    font-size: 0.9em;\n    font-family: var(--pst-font-family-base);\n    max-width: unset;\n\n    .rst-current-version {\n      display: flex;\n      align-items: center;\n      gap: 0.2rem;\n      height: 2.5rem;\n      transition: background-color 0.2s ease-out;\n      background-color: var(--pst-color-background);\n      color: var(--pst-color-success);\n      border-top: 1px solid var(--pst-color-border);\n    }\n\n    .fa.fa-book {\n      color: var(--pst-color-text-muted);\n      margin-right: auto;\n\n      &::after {\n        color: var(--pst-color-text-base);\n        content: \"Read The Docs\";\n        font-family: var(--pst-font-family-base);\n        font-weight: var(--pst-admonition-font-weight-heading);\n      }\n    }\n    .fa.fa-caret-down {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  .rst-versions.rst-badge.shift-up {\n    .rst-current-version {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n  }\n\n  .rst-other-versions {\n    background-color: var(--pst-color-surface);\n    color: var(--pst-color-text-base);\n\n    dl {\n      dd a {\n        color: var(--pst-color-text-muted);\n      }\n    }\n\n    hr {\n      background-color: var(--pst-color-border);\n    }\n\n    small a {\n      color: var(--pst-color-link);\n    }\n\n    input {\n      padding-left: 0.5rem;\n      border: 1px solid var(--pst-color-border);\n      background-color: var(--pst-color-surface);\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-color-info-bg);\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &:after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &:after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &:after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 0.2rem;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0rem;\n      margin-right: 0rem;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n  @include box-shadow();\n\n  .topic-title {\n    margin: 0 0 0.5rem 0;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n// loading the math module\n@use \"sass:math\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &:before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if type-of($color) == string {\n    $color: from-hex($color);\n  }\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: str-length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: str-slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if index($hex, $c) == null {\n      @return $string;\n    }\n\n    @if str-length($r) < $max {\n      $r: $r + $c;\n    } @else if str-length($g) < $max {\n      $g: $g + $c;\n    } @else if str-length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(_hex-to-dec($r), _hex-to-dec($g), _hex-to-dec($b));\n}\n\n@function _hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: to-lower-case($string);\n  $length: str-length($string);\n\n  $dec: 0;\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: index($hex, str-slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0em 0em 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors*/\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple) {\n  //increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\n\n// Fix for Sphinx's \"highlight\" directive - this is an issue with our accessible pygments theme\n// and the colour we are using for the background of the code blocks.\nhtml[data-theme=\"light\"] .highlight .nf {\n  color: #0078a1 !important;\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child):before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child):after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n  -webkit-user-select: text; /* Safari fallback only */\n  -webkit-user-select: none; /* Chrome/Safari */\n  -moz-user-select: none; /* Firefox */\n  -ms-user-select: none; /* IE10+ */\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-surface);\n\n  //hack to make the text in the blockquote selectable\n  &:before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  color: var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download:before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\n// ensure table will fit in the article width and make them y-scrollable\ntable {\n  display: table;\n  overflow: auto;\n\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-align\\:left {\n    text-align: left;\n  }\n\n  &.text-align\\:right {\n    text-align: right;\n  }\n\n  &.text-align\\:center {\n    text-align: center;\n  }\n}\n\n// override bootstrap background colors\n.table {\n  --bs-table-bg: transparent;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0em;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-direction: row;\n      flex-flow: wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i:before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left:before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right:before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-direction: row;\n      flex-wrap: wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Removes the button background so we more naturally blend with the code cell.\n  background-color: unset;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left:after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #ffffff;\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"heading-color\": (\n    \"light\": #{$foundation-white},\n    \"dark\": #{$foundation-black},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if str-index($key, $mode) != null {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if str-index($key, \"bg\") != null {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n  }\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark):not(.dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark):not(.dark-light) {\n      background: rgb(255, 255, 255);\n      border-radius: 0.25rem;\n    }\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:meta\";\n@use \"sass:color\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n\n$all-colors: map-merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --pst-color-#{$name}-highlight: #{darken($value, 15%)};\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map-get($all-colors, $name);\n      @if type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if str-index($key, $mode) != null {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if str-index($key, \"bg\") != null {\n              --sd-color-#{$name}-bg: #{$value};\n              // create local variable\n              $bg-var: --sd-color-#{$name}-bg;\n              $value: check-color($value);\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map-get($all-colors, $name);\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow();\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  // TODO - --pst-color-panel-background is not defined... where is this coming from?\n  .sd-card-header {\n    background-color: var(--pst-color-panel-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n  .sd-card-footer {\n    background-color: var(--pst-color-panel-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-panel-background);\n  }\n}\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-color: transparent transparent var(--pst-color-primary); // top LR bottom\n      color: var(--pst-color-primary);\n    }\n\n    // Hover label\n    &:not(:checked) + label:hover {\n      border-color: var(--pst-color-secondary);\n      color: var(--pst-color-secondary);\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-text-muted);\n    border-top: 0.125rem solid transparent; // so hover isn't just color change\n    padding-top: 0.5em; // same as bottom padding, so hover overline looks OK\n    // Hovered label\n    html &:hover {\n      color: var(--pst-color-secondary);\n      border-color: var(--pst-color-secondary);\n    }\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0px !important;\n  summary.sd-card-header {\n    border: 0 !important;\n    & + div.sd-summary-content {\n      border: 0;\n    }\n  }\n  // Drop shadow should behave same as admonitions\n  @include box-shadow();\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n    & + div.sd-summary-content {\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n */\n\n.bd-content {\n  // Admonition toggles\n  .admonition {\n    button.toggle-button {\n      color: inherit;\n    }\n  }\n\n  // Details buttons\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  table {\n    table-layout: auto;\n  }\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  .nboutput {\n    .output_area.rendered_html {\n      @include cell-output-background;\n    }\n\n    .output_area.stderr {\n      background: var(--pst-color-danger);\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  div.cell_output {\n    img,\n    .text_html {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 0;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a:before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/styles/sphinx-book-theme.css b/_static/styles/sphinx-book-theme.css
index e514f24e3..56c23f180 100644
--- a/_static/styles/sphinx-book-theme.css
+++ b/_static/styles/sphinx-book-theme.css
@@ -5,4 +5,4 @@
  *
  * This follows the 7-1 pattern described here:
  * https://sass-guidelin.es/#architecture
- */html{--pst-font-size-base:none}html[data-theme=light]{--sbt-color-announcement:#616161}html[data-theme=dark],html[data-theme=light]{--pst-color-primary:#579aca}html{scroll-padding-top:4rem}.sbt-scroll-pixel-helper{position:absolute;width:0;height:0;top:0;left:0}.d-n,.onlyprint{display:none}@media print{.onlyprint{display:block!important}}@media print{.noprint{display:none!important}}.bd-article-container h1,.bd-article-container h2,.bd-article-container h3,.bd-article-container h4,.bd-article-container h5,.bd-article-container p.caption{color:var(--pst-color-muted)}.bd-article-container h1,.bd-article-container h2{font-weight:500}a.brackets:before{color:inherit;font-family:inherit;margin-right:0}table{position:relative}@media print{.bd-main .bd-content{margin-left:2rem;height:auto}.bd-main .bd-content #jb-print-docs-body{margin-left:0}.bd-main .bd-content #jb-print-docs-body h1{font-size:3em;text-align:center;margin-bottom:0}.bd-main .bd-content .bd-article{padding-top:0}.bd-main 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\ No newline at end of file
diff --git a/_static/webpack-macros.html b/_static/webpack-macros.html
index 76b95d8d6..243a8589f 100644
--- a/_static/webpack-macros.html
+++ b/_static/webpack-macros.html
@@ -4,7 +4,7 @@
 -->
 {# Load FontAwesome icons #}
 {% macro head_pre_icons() %}
-  <link href="{{ pathto('_static/vendor/fontawesome/6.5.1/css/all.min.css', 1) }}?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="{{ pathto('_static/vendor/fontawesome/6.5.1/css/all.min.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2', 1) }}" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2', 1) }}" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2', 1) }}" />
@@ -12,20 +12,20 @@
 
 {% macro head_pre_assets() %}
   <!-- Loaded before other Sphinx assets -->
-  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 {% endmacro %}
 
 {% macro head_js_preload() %}
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=bd9e20870c6007c4c509" />
-  <script src="{{ pathto('_static/vendor/fontawesome/6.5.1/js/all.min.js', 1) }}?digest=bd9e20870c6007c4c509"></script>
+  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8d27b9dea8ad943066ae" />
+  <script src="{{ pathto('_static/vendor/fontawesome/6.5.1/js/all.min.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
 {% endmacro %}
 
 {% macro body_post() %}
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=bd9e20870c6007c4c509"></script>
-<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=bd9e20870c6007c4c509"></script>
+  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
+<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
 {% endmacro %}
\ No newline at end of file
diff --git a/datasets.html b/datasets.html
index 4b6047437..8a5455557 100644
--- a/datasets.html
+++ b/datasets.html
@@ -1,13 +1,12 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     <title>Dataset module &#8212; Recommenders documentation</title>
   
@@ -19,54 +18,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
-    <link rel="stylesheet" href="_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
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-    <link rel="stylesheet" type="text/css" href="_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
-    <script src="_static/jquery.js"></script>
-    <script src="_static/underscore.js"></script>
-    <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="_static/doctools.js"></script>
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-    <script src="_static/copybutton.js"></script>
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-    <script src="_static/tabs.js"></script>
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="_static/togglebutton.js"></script>
+    <script src="_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'datasets';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/datasets.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="Evaluation module" href="evaluation.html" />
@@ -83,7 +86,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -123,21 +125,16 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
       
       
-        
-      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -170,7 +167,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="current nav bd-sidenav">
@@ -375,23 +383,130 @@ <h2> Contents </h2>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#recommendation-datasets">Recommendation datasets</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#amazon-reviews">Amazon Reviews</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cord-19">CORD-19</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#criteo">Criteo</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mind">MIND</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#movielens">MovieLens</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#amazon-reviews">Amazon Reviews</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.data_preprocessing"><code class="docutils literal notranslate"><span class="pre">data_preprocessing()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.download_and_extract"><code class="docutils literal notranslate"><span class="pre">download_and_extract()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.get_review_data"><code class="docutils literal notranslate"><span class="pre">get_review_data()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cord-19">CORD-19</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.clean_dataframe"><code class="docutils literal notranslate"><span class="pre">clean_dataframe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.get_public_domain_text"><code class="docutils literal notranslate"><span class="pre">get_public_domain_text()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.remove_duplicates"><code class="docutils literal notranslate"><span class="pre">remove_duplicates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.remove_nan"><code class="docutils literal notranslate"><span class="pre">remove_nan()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.retrieve_text"><code class="docutils literal notranslate"><span class="pre">retrieve_text()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#criteo">Criteo</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.download_criteo"><code class="docutils literal notranslate"><span class="pre">download_criteo()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.extract_criteo"><code class="docutils literal notranslate"><span class="pre">extract_criteo()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.get_spark_schema"><code class="docutils literal notranslate"><span class="pre">get_spark_schema()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.load_spark_df"><code class="docutils literal notranslate"><span class="pre">load_spark_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mind">MIND</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.download_and_extract_glove"><code class="docutils literal notranslate"><span class="pre">download_and_extract_glove()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.download_mind"><code class="docutils literal notranslate"><span class="pre">download_mind()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.extract_mind"><code class="docutils literal notranslate"><span class="pre">extract_mind()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.generate_embeddings"><code class="docutils literal notranslate"><span class="pre">generate_embeddings()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_train_input"><code class="docutils literal notranslate"><span class="pre">get_train_input()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_user_history"><code class="docutils literal notranslate"><span class="pre">get_user_history()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_valid_input"><code class="docutils literal notranslate"><span class="pre">get_valid_input()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_words_and_entities"><code class="docutils literal notranslate"><span class="pre">get_words_and_entities()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.load_glove_matrix"><code class="docutils literal notranslate"><span class="pre">load_glove_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.read_clickhistory"><code class="docutils literal notranslate"><span class="pre">read_clickhistory()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.word_tokenize"><code class="docutils literal notranslate"><span class="pre">word_tokenize()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#movielens">MovieLens</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.Config"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.Config</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h6 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.Config.name"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.Config.name</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.get_df"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.get_df()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.get_spark_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.download_movielens"><code class="docutils literal notranslate"><span class="pre">download_movielens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.extract_movielens"><code class="docutils literal notranslate"><span class="pre">extract_movielens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_item_df"><code class="docutils literal notranslate"><span class="pre">load_item_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_spark_df"><code class="docutils literal notranslate"><span class="pre">load_spark_df()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.download_utils">Download utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.download_path"><code class="docutils literal notranslate"><span class="pre">download_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.maybe_download"><code class="docutils literal notranslate"><span class="pre">maybe_download()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.unzip_file"><code class="docutils literal notranslate"><span class="pre">unzip_file()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.pandas_df_utils">Pandas dataframe utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter"><code class="docutils literal notranslate"><span class="pre">LibffmConverter</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.field_count"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.field_count</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.feature_count</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.filepath"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.filepath</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.fit_transform()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.get_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.transform"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.transform()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.PandasHash"><code class="docutils literal notranslate"><span class="pre">PandasHash</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.filter_by"><code class="docutils literal notranslate"><span class="pre">filter_by()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.has_columns"><code class="docutils literal notranslate"><span class="pre">has_columns()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.has_same_base_dtype"><code class="docutils literal notranslate"><span class="pre">has_same_base_dtype()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.lru_cache_df"><code class="docutils literal notranslate"><span class="pre">lru_cache_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.negative_feedback_sampler"><code class="docutils literal notranslate"><span class="pre">negative_feedback_sampler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.user_item_pairs"><code class="docutils literal notranslate"><span class="pre">user_item_pairs()</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.download_utils">Download utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.pandas_df_utils">Pandas dataframe utilities</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#splitter-utilities">Splitter utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.python_splitters">Python splitters</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.spark_splitters">PySpark splitters</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.split_utils">Other splitters utilities</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.python_splitters">Python splitters</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.numpy_stratified_split"><code class="docutils literal notranslate"><span class="pre">numpy_stratified_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_chrono_split"><code class="docutils literal notranslate"><span class="pre">python_chrono_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_random_split"><code class="docutils literal notranslate"><span class="pre">python_random_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_stratified_split"><code class="docutils literal notranslate"><span class="pre">python_stratified_split()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.spark_splitters">PySpark splitters</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_chrono_split"><code class="docutils literal notranslate"><span class="pre">spark_chrono_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_random_split"><code class="docutils literal notranslate"><span class="pre">spark_random_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_stratified_split"><code class="docutils literal notranslate"><span class="pre">spark_stratified_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_timestamp_split"><code class="docutils literal notranslate"><span class="pre">spark_timestamp_split()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.split_utils">Other splitters utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.filter_k_core"><code class="docutils literal notranslate"><span class="pre">filter_k_core()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.min_rating_filter_pandas"><code class="docutils literal notranslate"><span class="pre">min_rating_filter_pandas()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.min_rating_filter_spark"><code class="docutils literal notranslate"><span class="pre">min_rating_filter_spark()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.process_split_ratio"><code class="docutils literal notranslate"><span class="pre">process_split_ratio()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.split_pandas_data_with_ratios"><code class="docutils literal notranslate"><span class="pre">split_pandas_data_with_ratios()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.sparse">Sparse utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix.gen_affinity_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix.map_back_sparse()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.wikidata">Knowledge graph utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.find_wikidata_id"><code class="docutils literal notranslate"><span class="pre">find_wikidata_id()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.get_session"><code class="docutils literal notranslate"><span class="pre">get_session()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.query_entity_description"><code class="docutils literal notranslate"><span class="pre">query_entity_description()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.query_entity_links"><code class="docutils literal notranslate"><span class="pre">query_entity_links()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.read_linked_entities"><code class="docutils literal notranslate"><span class="pre">read_linked_entities()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.search_wikidata"><code class="docutils literal notranslate"><span class="pre">search_wikidata()</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.sparse">Sparse utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.wikidata">Knowledge graph utilities</a></li>
 </ul>
             </nav>
         </div>
@@ -404,12 +519,12 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="dataset-module">
-<span id="dataset"></span><h1>Dataset module<a class="headerlink" href="#dataset-module" title="Permalink to this heading">#</a></h1>
+<span id="dataset"></span><h1>Dataset module<a class="headerlink" href="#dataset-module" title="Link to this heading">#</a></h1>
 <p>Recommendation datasets and related utilities</p>
 <section id="recommendation-datasets">
-<h2>Recommendation datasets<a class="headerlink" href="#recommendation-datasets" title="Permalink to this heading">#</a></h2>
+<h2>Recommendation datasets<a class="headerlink" href="#recommendation-datasets" title="Link to this heading">#</a></h2>
 <section id="amazon-reviews">
-<h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink to this heading">#</a></h3>
+<h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Link to this heading">#</a></h3>
 <p><a class="reference external" href="https://snap.stanford.edu/data/web-Amazon.html">Amazon Reviews dataset</a> consists of reviews from Amazon.
 The data span a period of 18 years, including ~35 million reviews up to March 2013. Reviews include product and user
 information, ratings, and a plaintext review.</p>
@@ -419,9 +534,9 @@ <h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink
 RecSys, 2013.</p>
 </dd>
 </dl>
-<span class="target" id="module-recommenders.datasets.amazon_reviews"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.datasets.amazon_reviews">
 <dt class="sig sig-object py" id="recommenders.datasets.amazon_reviews.data_preprocessing">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">data_preprocessing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reviews_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cate_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_history_expanding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#data_preprocessing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.data_preprocessing" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">data_preprocessing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reviews_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cate_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_history_expanding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#data_preprocessing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.data_preprocessing" title="Link to this definition">#</a></dt>
 <dd><p>Create data for training, validation and testing from original dataset</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -435,7 +550,7 @@ <h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.amazon_reviews.download_and_extract">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">download_and_extract</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#download_and_extract"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.download_and_extract" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">download_and_extract</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#download_and_extract"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.download_and_extract" title="Link to this definition">#</a></dt>
 <dd><p>Downloads and extracts Amazon reviews and meta datafiles if they don’t already exist</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -455,7 +570,7 @@ <h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.amazon_reviews.get_review_data">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">get_review_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reviews_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#get_review_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.get_review_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">get_review_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reviews_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#get_review_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.get_review_data" title="Link to this definition">#</a></dt>
 <dd><p>Downloads amazon review data (only), prepares in the required format
 and stores in the same location</p>
 <dl class="field-list simple">
@@ -467,7 +582,7 @@ <h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink
 
 </section>
 <section id="cord-19">
-<h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this heading">#</a></h3>
+<h3>CORD-19<a class="headerlink" href="#cord-19" title="Link to this heading">#</a></h3>
 <p><a class="reference external" href="https://azure.microsoft.com/en-us/services/open-datasets/catalog/covid-19-open-research/">COVID-19 Open Research Dataset (CORD-19)</a> is a full-text
 and metadata dataset of COVID-19 and coronavirus-related scholarly articles optimized
 for machine readability and made available for use by the global research community.</p>
@@ -483,9 +598,9 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 Funk, K., Kinney, R., Liu, Z., Merrill, W. and Mooney, P. “Cord-19: The COVID-19 Open Research Dataset.”, 2020.</p>
 </dd>
 </dl>
-<span class="target" id="module-recommenders.datasets.covid_utils"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.datasets.covid_utils">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.clean_dataframe">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">clean_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#clean_dataframe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.clean_dataframe" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">clean_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#clean_dataframe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.clean_dataframe" title="Link to this definition">#</a></dt>
 <dd><p>Clean up the dataframe.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -502,7 +617,7 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.get_public_domain_text">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">get_public_domain_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#get_public_domain_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.get_public_domain_text" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">get_public_domain_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#get_public_domain_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.get_public_domain_text" title="Link to this definition">#</a></dt>
 <dd><p>Get all public domain text.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -524,7 +639,7 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.load_pandas_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'covid19temp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata_filename</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'metadata.csv'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.load_pandas_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'covid19temp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata_filename</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'metadata.csv'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.load_pandas_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the Azure Open Research COVID-19 dataset as a pd.DataFrame.</p>
 <p>The Azure COVID-19 Open Research Dataset may be found at <a class="reference external" href="https://azure.microsoft.com/en-us/services/open-datasets/catalog/covid-19-open-research/">https://azure.microsoft.com/en-us/services/open-datasets/catalog/covid-19-open-research/</a></p>
 <dl class="field-list simple">
@@ -547,13 +662,13 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.remove_duplicates">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">remove_duplicates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#remove_duplicates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.remove_duplicates" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">remove_duplicates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#remove_duplicates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.remove_duplicates" title="Link to this definition">#</a></dt>
 <dd><p>Remove duplicated entries.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df</strong> (<em>pd.DataFrame</em>) – Pandas dataframe.</p></li>
-<li><p><strong>cols</strong> (<em>list of str</em>) – Name of columns in which to look for duplicates.</p></li>
+<li><p><strong>cols</strong> (<em>list</em><em> of </em><em>str</em>) – Name of columns in which to look for duplicates.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -567,13 +682,13 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.remove_nan">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">remove_nan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#remove_nan"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.remove_nan" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">remove_nan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#remove_nan"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.remove_nan" title="Link to this definition">#</a></dt>
 <dd><p>Remove rows with NaN values in specified column.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df</strong> (<em>pandas.DataFrame</em>) – Pandas dataframe.</p></li>
-<li><p><strong>cols</strong> (<em>list of str</em>) – Name of columns in which to look for NaN.</p></li>
+<li><p><strong>cols</strong> (<em>list</em><em> of </em><em>str</em>) – Name of columns in which to look for NaN.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -587,7 +702,7 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.retrieve_text">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">retrieve_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#retrieve_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.retrieve_text" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">retrieve_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#retrieve_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.retrieve_text" title="Link to this definition">#</a></dt>
 <dd><p>Retrieve body text from article of interest.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -607,14 +722,14 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 </section>
 <section id="criteo">
-<h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading">#</a></h3>
+<h3>Criteo<a class="headerlink" href="#criteo" title="Link to this heading">#</a></h3>
 <p><a class="reference external" href="https://www.kaggle.com/c/criteo-display-ad-challenge/overview">Criteo dataset</a>, released by Criteo Labs, is an online advertising dataset that contains feature values and click feedback
 for millions of display Ads. Every Ad has has 40 attributes, the first attribute is the label where a value 1 represents
 that the Ad has been clicked on and a 0 represents it wasn’t clicked on. The rest consist of 13 integer columns and
 26 categorical columns.</p>
-<span class="target" id="module-recommenders.datasets.criteo"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.datasets.criteo">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.download_criteo">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">download_criteo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">work_directory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#download_criteo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.download_criteo" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">download_criteo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">work_directory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#download_criteo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.download_criteo" title="Link to this definition">#</a></dt>
 <dd><p>Download criteo dataset as a compressed file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -634,7 +749,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.extract_criteo">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">extract_criteo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compressed_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#extract_criteo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.extract_criteo" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">extract_criteo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compressed_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#extract_criteo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.extract_criteo" title="Link to this definition">#</a></dt>
 <dd><p>Extract Criteo dataset tar.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -655,7 +770,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.get_spark_schema">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">get_spark_schema</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#get_spark_schema"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.get_spark_schema" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">get_spark_schema</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#get_spark_schema"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.get_spark_schema" title="Link to this definition">#</a></dt>
 <dd><p>Get Spark schema from header.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -672,7 +787,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.load_pandas_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.load_pandas_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.load_pandas_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the Criteo DAC dataset as <cite>pandas.DataFrame</cite>. This function download, untar, and load the dataset.</p>
 <p>The dataset consists of a portion of Criteo’s traffic over a period
 of 24 days. Each row corresponds to a display ad served by Criteo and the first
@@ -705,7 +820,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.load_spark_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">load_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbfs_datapath</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'dbfs:/FileStore/dac'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbutils</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#load_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.load_spark_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">load_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbfs_datapath</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'dbfs:/FileStore/dac'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbutils</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#load_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.load_spark_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the Criteo DAC dataset as <cite>pySpark.DataFrame</cite>.</p>
 <p>The dataset consists of a portion of Criteo’s traffic over a period
 of 24 days. Each row corresponds to a display ad served by Criteo and the first
@@ -741,7 +856,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 </section>
 <section id="mind">
-<h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</a></h3>
+<h3>MIND<a class="headerlink" href="#mind" title="Link to this heading">#</a></h3>
 <p><a class="reference external" href="https://msnews.github.io/">MIcrosoft News Dataset (MIND)</a>, is a large-scale dataset for news recommendation research. It was collected from
 anonymized behavior logs of Microsoft News website.</p>
 <p>MIND contains about 160k English news articles and more than 15 million impression logs generated by 1 million users.
@@ -754,9 +869,9 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 and Ming Zhou, “MIND: A Large-scale Dataset for News Recommendation”, ACL, 2020.</p>
 </dd>
 </dl>
-<span class="target" id="module-recommenders.datasets.mind"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.datasets.mind">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.download_and_extract_glove">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">download_and_extract_glove</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#download_and_extract_glove"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.download_and_extract_glove" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">download_and_extract_glove</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#download_and_extract_glove"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.download_and_extract_glove" title="Link to this definition">#</a></dt>
 <dd><p>Download and extract the Glove embedding</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -773,7 +888,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.download_mind">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">download_mind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'small'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#download_mind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.download_mind" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">download_mind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'small'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#download_mind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.download_mind" title="Link to this definition">#</a></dt>
 <dd><p>Download MIND dataset</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -793,7 +908,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.extract_mind">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">extract_mind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_zip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_zip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_folder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'train'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_folder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'valid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clean_zip_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#extract_mind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.extract_mind" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">extract_mind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_zip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_zip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_folder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'train'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_folder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'valid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clean_zip_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#extract_mind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.extract_mind" title="Link to this definition">#</a></dt>
 <dd><p>Extract MIND dataset</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -815,7 +930,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.generate_embeddings">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">generate_embeddings</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">news_words</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">news_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_sentence</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_embedding_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#generate_embeddings"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.generate_embeddings" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">generate_embeddings</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">news_words</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">news_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_sentence</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_embedding_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#generate_embeddings"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.generate_embeddings" title="Link to this definition">#</a></dt>
 <dd><p>Generate embeddings.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -840,7 +955,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.get_train_input">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_train_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_file_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_train_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_train_input" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_train_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_file_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_train_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_train_input" title="Link to this definition">#</a></dt>
 <dd><p>Generate train file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -855,7 +970,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.get_user_history">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_user_history</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_history_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_user_history"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_user_history" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_user_history</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_history_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_user_history"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_user_history" title="Link to this definition">#</a></dt>
 <dd><p>Generate user history file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -870,7 +985,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.get_valid_input">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_valid_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_valid_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_valid_input" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_valid_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_valid_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_valid_input" title="Link to this definition">#</a></dt>
 <dd><p>Generate validation file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -884,7 +999,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.get_words_and_entities">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_words_and_entities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_news</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_news</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_words_and_entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_words_and_entities" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_words_and_entities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_news</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_news</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_words_and_entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_words_and_entities" title="Link to this definition">#</a></dt>
 <dd><p>Load words and entities</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -904,7 +1019,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.load_glove_matrix">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">load_glove_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path_emb</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_embedding_dim</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#load_glove_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.load_glove_matrix" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">load_glove_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path_emb</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_embedding_dim</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#load_glove_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.load_glove_matrix" title="Link to this definition">#</a></dt>
 <dd><p>Load pretrained embedding metrics of words in word_dict</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -925,7 +1040,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.read_clickhistory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">read_clickhistory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#read_clickhistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.read_clickhistory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">read_clickhistory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#read_clickhistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.read_clickhistory" title="Link to this definition">#</a></dt>
 <dd><p>Read click history file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -949,7 +1064,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.word_tokenize">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">word_tokenize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#word_tokenize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.word_tokenize" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">word_tokenize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#word_tokenize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.word_tokenize" title="Link to this definition">#</a></dt>
 <dd><p>Tokenize a sententence</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -966,7 +1081,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 </section>
 <section id="movielens">
-<h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this heading">#</a></h3>
+<h3>MovieLens<a class="headerlink" href="#movielens" title="Link to this heading">#</a></h3>
 <p>The <a class="reference external" href="https://grouplens.org/datasets/movielens/">MovieLens datasets</a>, first released in 1998,
 describe people’s expressed preferences
 for movies. These preferences take the form of <cite>&lt;user, item, rating, timestamp&gt;</cite> tuples,
@@ -986,9 +1101,9 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 DOI=http://dx.doi.org/10.1145/2827872, 2015.</p>
 </dd>
 </dl>
-<span class="target" id="module-recommenders.datasets.movielens"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.datasets.movielens">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">MockMovielensSchema</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">MockMovielensSchema</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema" title="Link to this definition">#</a></dt>
 <dd><p>Mock dataset schema to generate fake data for testing purpose.
 This schema is configured to mimic the Movielens dataset</p>
 <p><a class="reference external" href="https://files.grouplens.org/datasets/movielens/ml-100k/">https://files.grouplens.org/datasets/movielens/ml-100k/</a></p>
@@ -997,10 +1112,10 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 for more information.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema.Config">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Config</span></span><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.Config" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Config</span></span><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.Config" title="Link to this definition">#</a></dt>
 <dd><dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema.Config.name">
-<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'MockMovielensSchema'</span></em><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.Config.name" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'MockMovielensSchema'</span></em><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.Config.name" title="Link to this definition">#</a></dt>
 <dd><p>name of schema</p>
 </dd></dl>
 
@@ -1008,7 +1123,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema.get_df">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_first_n_cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_title_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_genre_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataFrame</span></span></span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema.get_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.get_df" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_first_n_cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_title_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_genre_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataFrame</span></span></span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema.get_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.get_df" title="Link to this definition">#</a></dt>
 <dd><p>Return fake movielens dataset as a Pandas Dataframe with specified rows.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1031,7 +1146,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema.get_spark_df">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_title_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_genre_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tmp_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema.get_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_title_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_genre_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tmp_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema.get_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df" title="Link to this definition">#</a></dt>
 <dd><p>Return fake movielens dataset as a Spark Dataframe with specified rows</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1059,7 +1174,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.download_movielens">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">download_movielens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#download_movielens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.download_movielens" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">download_movielens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#download_movielens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.download_movielens" title="Link to this definition">#</a></dt>
 <dd><p>Downloads MovieLens datafile.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1073,7 +1188,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.extract_movielens">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">extract_movielens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zip_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#extract_movielens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.extract_movielens" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">extract_movielens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zip_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#extract_movielens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.extract_movielens" title="Link to this definition">#</a></dt>
 <dd><p>Extract MovieLens rating and item datafiles from the MovieLens raw zip file.</p>
 <p>To extract all files instead of just rating and item datafiles,
 use ZipFile’s extractall(path) instead.</p>
@@ -1091,7 +1206,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.load_item_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_item_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">movie_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_item_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_item_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_item_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">movie_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_item_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_item_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads Movie info.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1117,7 +1232,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.load_pandas_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_pandas_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_pandas_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the MovieLens dataset as pd.DataFrame.</p>
 <p>Download the dataset from <a class="reference external" href="https://files.grouplens.org/datasets/movielens">https://files.grouplens.org/datasets/movielens</a>, unzip, and load.
 To load movie information only, you can use load_item_df function.</p>
@@ -1163,7 +1278,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.load_spark_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">schema</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbutils</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_spark_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">schema</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbutils</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_spark_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the MovieLens dataset as <cite>pyspark.sql.DataFrame</cite>.</p>
 <p>Download the dataset from <a class="reference external" href="https://files.grouplens.org/datasets/movielens">https://files.grouplens.org/datasets/movielens</a>, unzip, and load as <cite>pyspark.sql.DataFrame</cite>.</p>
 <p>To load movie information only, you can use <cite>load_item_df</cite> function.</p>
@@ -1226,10 +1341,10 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 </section>
 </section>
 <section id="module-recommenders.datasets.download_utils">
-<span id="download-utilities"></span><h2>Download utilities<a class="headerlink" href="#module-recommenders.datasets.download_utils" title="Permalink to this heading">#</a></h2>
+<span id="download-utilities"></span><h2>Download utilities<a class="headerlink" href="#module-recommenders.datasets.download_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.download_utils.download_path">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">download_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#download_path"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.download_path" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">download_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#download_path"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.download_path" title="Link to this definition">#</a></dt>
 <dd><p>Return a path to download data. If <cite>path=None</cite>, then it yields a temporal path that is eventually deleted,
 otherwise the real path of the input.</p>
 <dl class="field-list simple">
@@ -1252,7 +1367,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.download_utils.maybe_download">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">maybe_download</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">work_directory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">expected_bytes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#maybe_download"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.maybe_download" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">maybe_download</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">work_directory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">expected_bytes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#maybe_download"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.maybe_download" title="Link to this definition">#</a></dt>
 <dd><p>Download a file if it is not already downloaded.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1274,7 +1389,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.download_utils.unzip_file">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">unzip_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">zip_src</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dst_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clean_zip_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#unzip_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.unzip_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">unzip_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">zip_src</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dst_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clean_zip_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#unzip_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.unzip_file" title="Link to this definition">#</a></dt>
 <dd><p>Unzip a file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1289,10 +1404,10 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 </section>
 <section id="module-recommenders.datasets.pandas_df_utils">
-<span id="pandas-dataframe-utilities"></span><h2>Pandas dataframe utilities<a class="headerlink" href="#module-recommenders.datasets.pandas_df_utils" title="Permalink to this heading">#</a></h2>
+<span id="pandas-dataframe-utilities"></span><h2>Pandas dataframe utilities<a class="headerlink" href="#module-recommenders.datasets.pandas_df_utils" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">LibffmConverter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">LibffmConverter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter" title="Link to this definition">#</a></dt>
 <dd><p>Converts an input dataframe to another dataframe in libffm format. A text file of the converted
 Dataframe is optionally generated.</p>
 <div class="admonition note">
@@ -1323,7 +1438,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 </dl>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.field_count">
-<span class="sig-name descname"><span class="pre">field_count</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.field_count" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">field_count</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.field_count" title="Link to this definition">#</a></dt>
 <dd><p>count of field in the libffm format data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1334,7 +1449,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count">
-<span class="sig-name descname"><span class="pre">feature_count</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">feature_count</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count" title="Link to this definition">#</a></dt>
 <dd><p>count of feature in the libffm format data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1345,7 +1460,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.filepath">
-<span class="sig-name descname"><span class="pre">filepath</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.filepath" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">filepath</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.filepath" title="Link to this definition">#</a></dt>
 <dd><p>file path where the output is stored - it can be None or a string</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1376,7 +1491,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the dataframe for libffm format.
 This method does nothing but check the validity of the input columns</p>
 <dl class="field-list simple">
@@ -1397,7 +1512,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform">
-<span class="sig-name descname"><span class="pre">fit_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.fit_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.fit_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform" title="Link to this definition">#</a></dt>
 <dd><p>Do fit and transform in a row</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1417,7 +1532,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters (attributes) of the libffm converter</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1431,7 +1546,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.transform">
-<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.transform" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.transform" title="Link to this definition">#</a></dt>
 <dd><p>Tranform an input dataset with the same schema (column names and dtypes) to libffm format
 by using the fitted converter.</p>
 <dl class="field-list simple">
@@ -1451,13 +1566,13 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.PandasHash">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">PandasHash</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pandas_object</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#PandasHash"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.PandasHash" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">PandasHash</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pandas_object</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#PandasHash"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.PandasHash" title="Link to this definition">#</a></dt>
 <dd><p>Wrapper class to allow pandas objects (DataFrames or Series) to be hashable</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.filter_by">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">filter_by</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by_cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#filter_by"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.filter_by" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">filter_by</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by_cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#filter_by"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.filter_by" title="Link to this definition">#</a></dt>
 <dd><p>From the input DataFrame <cite>df</cite>, remove the records whose target column <cite>filter_by_cols</cite> values are
 exist in the filter-by DataFrame <cite>filter_by_df</cite>.</p>
 <dl class="field-list simple">
@@ -1465,7 +1580,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df</strong> (<em>pandas.DataFrame</em>) – Source dataframe.</p></li>
 <li><p><strong>filter_by_df</strong> (<em>pandas.DataFrame</em>) – Filter dataframe.</p></li>
-<li><p><strong>filter_by_cols</strong> (<em>iterable of str</em>) – Filter columns.</p></li>
+<li><p><strong>filter_by_cols</strong> (<em>iterable</em><em> of </em><em>str</em>) – Filter columns.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -1479,7 +1594,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.has_columns">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">has_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#has_columns"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.has_columns" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">has_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#has_columns"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.has_columns" title="Link to this definition">#</a></dt>
 <dd><p>Check if DataFrame has necessary columns</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1499,7 +1614,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.has_same_base_dtype">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">has_same_base_dtype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">df_2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#has_same_base_dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.has_same_base_dtype" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">has_same_base_dtype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">df_2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#has_same_base_dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.has_same_base_dtype" title="Link to this definition">#</a></dt>
 <dd><p>Check if specified columns have the same base dtypes across both DataFrames</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1520,7 +1635,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.lru_cache_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">lru_cache_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">maxsize</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#lru_cache_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.lru_cache_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">lru_cache_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">maxsize</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#lru_cache_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.lru_cache_df" title="Link to this definition">#</a></dt>
 <dd><p>Least-recently-used cache decorator for pandas Dataframes.</p>
 <p>Decorator to wrap a function with a memoizing callable that saves up to the maxsize most recent calls. It can
 save time when an expensive or I/O bound function is periodically called with the same arguments.</p>
@@ -1537,7 +1652,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.negative_feedback_sampler">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">negative_feedback_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_label</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'label'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_feedback</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'feedback'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio_neg_per_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#negative_feedback_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.negative_feedback_sampler" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">negative_feedback_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_label</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'label'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_feedback</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'feedback'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio_neg_per_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#negative_feedback_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.negative_feedback_sampler" title="Link to this definition">#</a></dt>
 <dd><p>Utility function to sample negative feedback from user-item interaction dataset.
 This negative sampling function will take the user-item interaction data to create
 binarized feedback, i.e., 1 and 0 indicate positive and negative feedback,
@@ -1594,7 +1709,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.user_item_pairs">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">user_item_pairs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_item_filter_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#user_item_pairs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.user_item_pairs" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">user_item_pairs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_item_filter_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#user_item_pairs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.user_item_pairs" title="Link to this definition">#</a></dt>
 <dd><p>Get all pairs of users and items data.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1619,12 +1734,12 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 </section>
 <section id="splitter-utilities">
-<h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Permalink to this heading">#</a></h2>
+<h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Link to this heading">#</a></h2>
 <section id="module-recommenders.datasets.python_splitters">
-<span id="python-splitters"></span><h3>Python splitters<a class="headerlink" href="#module-recommenders.datasets.python_splitters" title="Permalink to this heading">#</a></h3>
+<span id="python-splitters"></span><h3>Python splitters<a class="headerlink" href="#module-recommenders.datasets.python_splitters" title="Link to this heading">#</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.python_splitters.numpy_stratified_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">numpy_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#numpy_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.numpy_stratified_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">numpy_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#numpy_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.numpy_stratified_split" title="Link to this definition">#</a></dt>
 <dd><p>Split the user/item affinity matrix (sparse matrix) into train and test set matrices while maintaining
 local (i.e. per user) ratios.</p>
 <p>Main points :</p>
@@ -1672,7 +1787,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.python_splitters.python_chrono_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_chrono_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_chrono_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_chrono_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_chrono_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_chrono_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_chrono_split" title="Link to this definition">#</a></dt>
 <dd><p>Pandas chronological splitter.</p>
 <p>This function splits data in a chronological manner. That is, for each user / item, the
 split function takes proportions of ratings which is specified by the split ratio(s).
@@ -1706,7 +1821,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.python_splitters.python_random_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_random_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_random_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_random_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_random_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_random_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_random_split" title="Link to this definition">#</a></dt>
 <dd><p>Pandas random splitter.</p>
 <p>The splitter randomly splits the input data.</p>
 <dl class="field-list simple">
@@ -1732,7 +1847,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.python_splitters.python_stratified_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_stratified_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_stratified_split" title="Link to this definition">#</a></dt>
 <dd><p>Pandas stratified splitter.</p>
 <p>For each user / item, the split function takes proportions of ratings which is
 specified by the split ratio(s). The split is stratified.</p>
@@ -1764,10 +1879,10 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 </section>
 <section id="module-recommenders.datasets.spark_splitters">
-<span id="pyspark-splitters"></span><h3>PySpark splitters<a class="headerlink" href="#module-recommenders.datasets.spark_splitters" title="Permalink to this heading">#</a></h3>
+<span id="pyspark-splitters"></span><h3>PySpark splitters<a class="headerlink" href="#module-recommenders.datasets.spark_splitters" title="Link to this heading">#</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.spark_splitters.spark_chrono_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_chrono_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_partition</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_chrono_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_chrono_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_chrono_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_partition</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_chrono_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_chrono_split" title="Link to this definition">#</a></dt>
 <dd><p>Spark chronological splitter.</p>
 <p>This function splits data in a chronological manner. That is, for each user / item, the
 split function takes proportions of ratings which is specified by the split ratio(s).
@@ -1801,7 +1916,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.spark_splitters.spark_random_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_random_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_random_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_random_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_random_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_random_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_random_split" title="Link to this definition">#</a></dt>
 <dd><p>Spark random splitter.</p>
 <p>Randomly split the data into several splits.</p>
 <dl class="field-list simple">
@@ -1827,7 +1942,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.spark_splitters.spark_stratified_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_stratified_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_stratified_split" title="Link to this definition">#</a></dt>
 <dd><p>Spark stratified splitter.</p>
 <p>For each user / item, the split function takes proportions of ratings which is
 specified by the split ratio(s). The split is stratified.</p>
@@ -1861,7 +1976,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.spark_splitters.spark_timestamp_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_timestamp_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_timestamp_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_timestamp_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_timestamp_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_timestamp_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_timestamp_split" title="Link to this definition">#</a></dt>
 <dd><p>Spark timestamp based splitter.</p>
 <p>The splitter splits the data into sets by timestamps without stratification on either user or item.
 The ratios are applied on the timestamp column which is divided accordingly into several partitions.</p>
@@ -1893,17 +2008,17 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 </section>
 <section id="module-recommenders.datasets.split_utils">
-<span id="other-splitters-utilities"></span><h3>Other splitters utilities<a class="headerlink" href="#module-recommenders.datasets.split_utils" title="Permalink to this heading">#</a></h3>
+<span id="other-splitters-utilities"></span><h3>Other splitters utilities<a class="headerlink" href="#module-recommenders.datasets.split_utils" title="Link to this heading">#</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.filter_k_core">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">filter_k_core</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">core_num</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#filter_k_core"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.filter_k_core" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">filter_k_core</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">core_num</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#filter_k_core"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.filter_k_core" title="Link to this definition">#</a></dt>
 <dd><p>Filter rating dataframe for minimum number of users and items by
 repeatedly applying min_rating_filter until the condition is satisfied.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.min_rating_filter_pandas">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">min_rating_filter_pandas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#min_rating_filter_pandas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.min_rating_filter_pandas" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">min_rating_filter_pandas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#min_rating_filter_pandas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.min_rating_filter_pandas" title="Link to this definition">#</a></dt>
 <dd><p>Filter rating DataFrame for each user with minimum rating.</p>
 <p>Filter rating data frame with minimum number of ratings for user/item is usually useful to
 generate a new data frame with warm user/item. The warmth is defined by min_rating argument. For
@@ -1932,7 +2047,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.min_rating_filter_spark">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">min_rating_filter_spark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#min_rating_filter_spark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.min_rating_filter_spark" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">min_rating_filter_spark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#min_rating_filter_spark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.min_rating_filter_spark" title="Link to this definition">#</a></dt>
 <dd><p>Filter rating DataFrame for each user with minimum rating.</p>
 <p>Filter rating data frame with minimum number of ratings for user/item is usually useful to
 generate a new data frame with warm user/item. The warmth is defined by min_rating argument. For
@@ -1961,7 +2076,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.process_split_ratio">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">process_split_ratio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ratio</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#process_split_ratio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.process_split_ratio" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">process_split_ratio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ratio</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#process_split_ratio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.process_split_ratio" title="Link to this definition">#</a></dt>
 <dd><p>Generate split ratio lists.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1985,7 +2100,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.split_pandas_data_with_ratios">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">split_pandas_data_with_ratios</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratios</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#split_pandas_data_with_ratios"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.split_pandas_data_with_ratios" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">split_pandas_data_with_ratios</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratios</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#split_pandas_data_with_ratios"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.split_pandas_data_with_ratios" title="Link to this definition">#</a></dt>
 <dd><p>Helper function to split pandas DataFrame with given ratios</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1995,7 +2110,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>data</strong> (<em>pandas.DataFrame</em>) – Pandas data frame to be split.</p></li>
-<li><p><strong>ratios</strong> (<em>list of floats</em>) – list of ratios for split. The ratios have to sum to 1.</p></li>
+<li><p><strong>ratios</strong> (<em>list</em><em> of </em><em>floats</em>) – list of ratios for split. The ratios have to sum to 1.</p></li>
 <li><p><strong>seed</strong> (<em>int</em>) – random seed.</p></li>
 <li><p><strong>shuffle</strong> (<em>bool</em>) – whether data will be shuffled when being split.</p></li>
 </ul>
@@ -2012,14 +2127,14 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 </section>
 </section>
 <section id="module-recommenders.datasets.sparse">
-<span id="sparse-utilities"></span><h2>Sparse utilities<a class="headerlink" href="#module-recommenders.datasets.sparse" title="Permalink to this heading">#</a></h2>
+<span id="sparse-utilities"></span><h2>Sparse utilities<a class="headerlink" href="#module-recommenders.datasets.sparse" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.datasets.sparse.AffinityMatrix">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.sparse.</span></span><span class="sig-name descname"><span class="pre">AffinityMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items_list</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_pred</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.sparse.</span></span><span class="sig-name descname"><span class="pre">AffinityMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items_list</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_pred</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix" title="Link to this definition">#</a></dt>
 <dd><p>Generate the user/item affinity matrix from a pandas dataframe and vice versa</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix">
-<span class="sig-name descname"><span class="pre">gen_affinity_matrix</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix.gen_affinity_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_affinity_matrix</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix.gen_affinity_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix" title="Link to this definition">#</a></dt>
 <dd><p>Generate the user/item affinity matrix.</p>
 <p>As a first step, two new columns are added to the input DF, containing the index maps
 generated by the gen_index() method. The new indices, together with the ratings, are
@@ -2040,7 +2155,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.sparse.AffinityMatrix.map_back_sparse">
-<span class="sig-name descname"><span class="pre">map_back_sparse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kind</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix.map_back_sparse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">map_back_sparse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kind</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix.map_back_sparse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse" title="Link to this definition">#</a></dt>
 <dd><p>Map back the user/affinity matrix to a pd dataframe</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2062,10 +2177,10 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 </section>
 <section id="module-recommenders.datasets.wikidata">
-<span id="knowledge-graph-utilities"></span><h2>Knowledge graph utilities<a class="headerlink" href="#module-recommenders.datasets.wikidata" title="Permalink to this heading">#</a></h2>
+<span id="knowledge-graph-utilities"></span><h2>Knowledge graph utilities<a class="headerlink" href="#module-recommenders.datasets.wikidata" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.find_wikidata_id">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">find_wikidata_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#find_wikidata_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.find_wikidata_id" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">find_wikidata_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#find_wikidata_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.find_wikidata_id" title="Link to this definition">#</a></dt>
 <dd><p>Find the entity ID in wikidata from a title string.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2086,7 +2201,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.get_session">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">get_session</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#get_session"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.get_session" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">get_session</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#get_session"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.get_session" title="Link to this definition">#</a></dt>
 <dd><p>Get session object</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2103,7 +2218,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.query_entity_description">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">query_entity_description</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entity_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#query_entity_description"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.query_entity_description" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">query_entity_description</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entity_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#query_entity_description"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.query_entity_description" title="Link to this definition">#</a></dt>
 <dd><p>Query entity wikidata description from entityID</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2124,7 +2239,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.query_entity_links">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">query_entity_links</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entity_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#query_entity_links"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.query_entity_links" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">query_entity_links</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entity_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#query_entity_links"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.query_entity_links" title="Link to this definition">#</a></dt>
 <dd><p>Query all linked pages from a wikidata entityID</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2144,7 +2259,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.read_linked_entities">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">read_linked_entities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#read_linked_entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.read_linked_entities" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">read_linked_entities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#read_linked_entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.read_linked_entities" title="Link to this definition">#</a></dt>
 <dd><p>Obtain lists of liken entities (IDs and names) from dictionary</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2165,7 +2280,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.search_wikidata">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">search_wikidata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">names</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">describe</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#search_wikidata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.search_wikidata" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">search_wikidata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">names</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">describe</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#search_wikidata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.search_wikidata" title="Link to this definition">#</a></dt>
 <dd><p>Create DataFrame of Wikidata search results</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2253,23 +2368,130 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#recommendation-datasets">Recommendation datasets</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#amazon-reviews">Amazon Reviews</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cord-19">CORD-19</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#criteo">Criteo</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mind">MIND</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#movielens">MovieLens</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#amazon-reviews">Amazon Reviews</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.data_preprocessing"><code class="docutils literal notranslate"><span class="pre">data_preprocessing()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.download_and_extract"><code class="docutils literal notranslate"><span class="pre">download_and_extract()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.get_review_data"><code class="docutils literal notranslate"><span class="pre">get_review_data()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cord-19">CORD-19</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.clean_dataframe"><code class="docutils literal notranslate"><span class="pre">clean_dataframe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.get_public_domain_text"><code class="docutils literal notranslate"><span class="pre">get_public_domain_text()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.remove_duplicates"><code class="docutils literal notranslate"><span class="pre">remove_duplicates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.remove_nan"><code class="docutils literal notranslate"><span class="pre">remove_nan()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.retrieve_text"><code class="docutils literal notranslate"><span class="pre">retrieve_text()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#criteo">Criteo</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.download_criteo"><code class="docutils literal notranslate"><span class="pre">download_criteo()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.extract_criteo"><code class="docutils literal notranslate"><span class="pre">extract_criteo()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.get_spark_schema"><code class="docutils literal notranslate"><span class="pre">get_spark_schema()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.load_spark_df"><code class="docutils literal notranslate"><span class="pre">load_spark_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mind">MIND</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.download_and_extract_glove"><code class="docutils literal notranslate"><span class="pre">download_and_extract_glove()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.download_mind"><code class="docutils literal notranslate"><span class="pre">download_mind()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.extract_mind"><code class="docutils literal notranslate"><span class="pre">extract_mind()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.generate_embeddings"><code class="docutils literal notranslate"><span class="pre">generate_embeddings()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_train_input"><code class="docutils literal notranslate"><span class="pre">get_train_input()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_user_history"><code class="docutils literal notranslate"><span class="pre">get_user_history()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_valid_input"><code class="docutils literal notranslate"><span class="pre">get_valid_input()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_words_and_entities"><code class="docutils literal notranslate"><span class="pre">get_words_and_entities()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.load_glove_matrix"><code class="docutils literal notranslate"><span class="pre">load_glove_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.read_clickhistory"><code class="docutils literal notranslate"><span class="pre">read_clickhistory()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.word_tokenize"><code class="docutils literal notranslate"><span class="pre">word_tokenize()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#movielens">MovieLens</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.Config"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.Config</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h6 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.Config.name"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.Config.name</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.get_df"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.get_df()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.get_spark_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.download_movielens"><code class="docutils literal notranslate"><span class="pre">download_movielens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.extract_movielens"><code class="docutils literal notranslate"><span class="pre">extract_movielens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_item_df"><code class="docutils literal notranslate"><span class="pre">load_item_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_spark_df"><code class="docutils literal notranslate"><span class="pre">load_spark_df()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.download_utils">Download utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.download_path"><code class="docutils literal notranslate"><span class="pre">download_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.maybe_download"><code class="docutils literal notranslate"><span class="pre">maybe_download()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.unzip_file"><code class="docutils literal notranslate"><span class="pre">unzip_file()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.pandas_df_utils">Pandas dataframe utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter"><code class="docutils literal notranslate"><span class="pre">LibffmConverter</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.field_count"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.field_count</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.feature_count</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.filepath"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.filepath</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.fit_transform()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.get_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.transform"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.transform()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.PandasHash"><code class="docutils literal notranslate"><span class="pre">PandasHash</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.filter_by"><code class="docutils literal notranslate"><span class="pre">filter_by()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.has_columns"><code class="docutils literal notranslate"><span class="pre">has_columns()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.has_same_base_dtype"><code class="docutils literal notranslate"><span class="pre">has_same_base_dtype()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.lru_cache_df"><code class="docutils literal notranslate"><span class="pre">lru_cache_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.negative_feedback_sampler"><code class="docutils literal notranslate"><span class="pre">negative_feedback_sampler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.user_item_pairs"><code class="docutils literal notranslate"><span class="pre">user_item_pairs()</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.download_utils">Download utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.pandas_df_utils">Pandas dataframe utilities</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#splitter-utilities">Splitter utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.python_splitters">Python splitters</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.spark_splitters">PySpark splitters</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.split_utils">Other splitters utilities</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.python_splitters">Python splitters</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.numpy_stratified_split"><code class="docutils literal notranslate"><span class="pre">numpy_stratified_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_chrono_split"><code class="docutils literal notranslate"><span class="pre">python_chrono_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_random_split"><code class="docutils literal notranslate"><span class="pre">python_random_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_stratified_split"><code class="docutils literal notranslate"><span class="pre">python_stratified_split()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.spark_splitters">PySpark splitters</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_chrono_split"><code class="docutils literal notranslate"><span class="pre">spark_chrono_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_random_split"><code class="docutils literal notranslate"><span class="pre">spark_random_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_stratified_split"><code class="docutils literal notranslate"><span class="pre">spark_stratified_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_timestamp_split"><code class="docutils literal notranslate"><span class="pre">spark_timestamp_split()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.split_utils">Other splitters utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.filter_k_core"><code class="docutils literal notranslate"><span class="pre">filter_k_core()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.min_rating_filter_pandas"><code class="docutils literal notranslate"><span class="pre">min_rating_filter_pandas()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.min_rating_filter_spark"><code class="docutils literal notranslate"><span class="pre">min_rating_filter_spark()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.process_split_ratio"><code class="docutils literal notranslate"><span class="pre">process_split_ratio()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.split_pandas_data_with_ratios"><code class="docutils literal notranslate"><span class="pre">split_pandas_data_with_ratios()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.sparse">Sparse utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix.gen_affinity_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix.map_back_sparse()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.wikidata">Knowledge graph utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.find_wikidata_id"><code class="docutils literal notranslate"><span class="pre">find_wikidata_id()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.get_session"><code class="docutils literal notranslate"><span class="pre">get_session()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.query_entity_description"><code class="docutils literal notranslate"><span class="pre">query_entity_description()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.query_entity_links"><code class="docutils literal notranslate"><span class="pre">query_entity_links()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.read_linked_entities"><code class="docutils literal notranslate"><span class="pre">read_linked_entities()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.search_wikidata"><code class="docutils literal notranslate"><span class="pre">search_wikidata()</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.sparse">Sparse utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.wikidata">Knowledge graph utilities</a></li>
 </ul>
   </nav></div>
 
@@ -2294,7 +2516,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -2318,8 +2540,8 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/docs/_build/html/.buildinfo b/docs/_build/html/.buildinfo
index a3d8c280c..aada4b3fb 100644
--- a/docs/_build/html/.buildinfo
+++ b/docs/_build/html/.buildinfo
@@ -1,4 +1,4 @@
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diff --git a/docs/_build/html/.doctrees/datasets.doctree b/docs/_build/html/.doctrees/datasets.doctree
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diff --git a/docs/_build/html/.doctrees/intro.doctree b/docs/_build/html/.doctrees/intro.doctree
index 1dbcfdbc7694b1c70eca95018d0df19b75d176d4..1433fed3834ac9ea0914471eb057551dc4573459 100644
GIT binary patch
delta 160
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delta 87
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diff --git a/docs/_build/html/.doctrees/models.doctree b/docs/_build/html/.doctrees/models.doctree
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diff --git a/docs/_build/html/.doctrees/tuning.doctree b/docs/_build/html/.doctrees/tuning.doctree
index 42587bc9b4d5e859028b96c6c3f11b8dcae7dabb..2889fa5644fb73a33b5b83abdb51165ff392d347 100644
GIT binary patch
delta 1415
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delta 1081
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diff --git a/docs/_build/html/.doctrees/utils.doctree b/docs/_build/html/.doctrees/utils.doctree
index 591573f10901400183595126a6e60e5022cd53bf..6db295472aea8294b8593927504eb2db8f02cacf 100644
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+++ b/docs/_build/html/_modules/index.html
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-
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+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+    <script src="../_static/doctools.js?v=888ff710"></script>
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/index';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/index.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../genindex.html" />
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
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 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -439,7 +449,7 @@ <h1>All modules for which code is available</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -463,8 +473,8 @@ <h1>All modules for which code is available</h1>
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/datasets/amazon_reviews.html b/docs/_build/html/_modules/recommenders/datasets/amazon_reviews.html
index 60a04bd26..b6eff15de 100644
--- a/docs/_build/html/_modules/recommenders/datasets/amazon_reviews.html
+++ b/docs/_build/html/_modules/recommenders/datasets/amazon_reviews.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/amazon_reviews';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/amazon_reviews.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -345,7 +355,9 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="get_review_data"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.get_review_data">[docs]</a><span class="k">def</span> <span class="nf">get_review_data</span><span class="p">(</span><span class="n">reviews_file</span><span class="p">):</span>
+<div class="viewcode-block" id="get_review_data">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.get_review_data">[docs]</a>
+<span class="k">def</span> <span class="nf">get_review_data</span><span class="p">(</span><span class="n">reviews_file</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Downloads amazon review data (only), prepares in the required format</span>
 <span class="sd">    and stores in the same location</span>
 
@@ -358,7 +370,10 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
     <span class="k">return</span> <span class="n">reviews_output</span></div>
 
 
-<div class="viewcode-block" id="data_preprocessing"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.data_preprocessing">[docs]</a><span class="k">def</span> <span class="nf">data_preprocessing</span><span class="p">(</span>
+
+<div class="viewcode-block" id="data_preprocessing">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.data_preprocessing">[docs]</a>
+<span class="k">def</span> <span class="nf">data_preprocessing</span><span class="p">(</span>
     <span class="n">reviews_file</span><span class="p">,</span>
     <span class="n">meta_file</span><span class="p">,</span>
     <span class="n">train_file</span><span class="p">,</span>
@@ -396,6 +411,7 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
     <span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_create_vocab</span><span class="p">(</span><span class="n">train_file</span><span class="p">,</span> <span class="n">user_vocab</span><span class="p">,</span> <span class="n">item_vocab</span><span class="p">,</span> <span class="n">cate_vocab</span><span class="p">):</span>
 
     <span class="n">f_train</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">train_file</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span>
@@ -824,7 +840,9 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
     <span class="k">return</span> <span class="n">output_file</span>
 
 
-<div class="viewcode-block" id="download_and_extract"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.download_and_extract">[docs]</a><span class="k">def</span> <span class="nf">download_and_extract</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
+<div class="viewcode-block" id="download_and_extract">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.amazon_reviews.download_and_extract">[docs]</a>
+<span class="k">def</span> <span class="nf">download_and_extract</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Downloads and extracts Amazon reviews and meta datafiles if they don’t already exist</span>
 
 <span class="sd">    Args:</span>
@@ -846,6 +864,7 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
     <span class="k">return</span> <span class="n">file_path</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_download_reviews</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Downloads Amazon reviews datafile.</span>
 
@@ -916,7 +935,7 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -940,8 +959,8 @@ <h1>Source code for recommenders.datasets.amazon_reviews</h1><div class="highlig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/datasets/covid_utils.html b/docs/_build/html/_modules/recommenders/datasets/covid_utils.html
index fbd6c9dc9..8ca1a258d 100644
--- a/docs/_build/html/_modules/recommenders/datasets/covid_utils.html
+++ b/docs/_build/html/_modules/recommenders/datasets/covid_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/covid_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/covid_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -334,7 +344,9 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
 <span class="kn">import</span> <span class="nn">requests</span>
 
 
-<div class="viewcode-block" id="load_pandas_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.load_pandas_df">[docs]</a><span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span>
+<div class="viewcode-block" id="load_pandas_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.load_pandas_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span>
     <span class="n">azure_storage_account_name</span><span class="o">=</span><span class="s2">&quot;azureopendatastorage&quot;</span><span class="p">,</span>
     <span class="n">azure_storage_sas_token</span><span class="o">=</span><span class="s2">&quot;&quot;</span><span class="p">,</span>
     <span class="n">container_name</span><span class="o">=</span><span class="s2">&quot;covid19temp&quot;</span><span class="p">,</span>
@@ -364,7 +376,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">uri</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="remove_duplicates"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.remove_duplicates">[docs]</a><span class="k">def</span> <span class="nf">remove_duplicates</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">cols</span><span class="p">):</span>
+
+<div class="viewcode-block" id="remove_duplicates">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.remove_duplicates">[docs]</a>
+<span class="k">def</span> <span class="nf">remove_duplicates</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">cols</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Remove duplicated entries.</span>
 
 <span class="sd">    Args:</span>
@@ -388,7 +403,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="remove_nan"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.remove_nan">[docs]</a><span class="k">def</span> <span class="nf">remove_nan</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">cols</span><span class="p">):</span>
+
+<div class="viewcode-block" id="remove_nan">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.remove_nan">[docs]</a>
+<span class="k">def</span> <span class="nf">remove_nan</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">cols</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Remove rows with NaN values in specified column.</span>
 
 <span class="sd">    Args:</span>
@@ -409,7 +427,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="clean_dataframe"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.clean_dataframe">[docs]</a><span class="k">def</span> <span class="nf">clean_dataframe</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="clean_dataframe">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.clean_dataframe">[docs]</a>
+<span class="k">def</span> <span class="nf">clean_dataframe</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Clean up the dataframe.</span>
 
 <span class="sd">    Args:</span>
@@ -430,7 +451,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="retrieve_text"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.retrieve_text">[docs]</a><span class="k">def</span> <span class="nf">retrieve_text</span><span class="p">(</span>
+
+<div class="viewcode-block" id="retrieve_text">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.retrieve_text">[docs]</a>
+<span class="k">def</span> <span class="nf">retrieve_text</span><span class="p">(</span>
     <span class="n">entry</span><span class="p">,</span>
     <span class="n">container_name</span><span class="p">,</span>
     <span class="n">azure_storage_account_name</span><span class="o">=</span><span class="s2">&quot;azureopendatastorage&quot;</span><span class="p">,</span>
@@ -468,7 +492,10 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">text</span></div>
 
 
-<div class="viewcode-block" id="get_public_domain_text"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.get_public_domain_text">[docs]</a><span class="k">def</span> <span class="nf">get_public_domain_text</span><span class="p">(</span>
+
+<div class="viewcode-block" id="get_public_domain_text">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.covid_utils.get_public_domain_text">[docs]</a>
+<span class="k">def</span> <span class="nf">get_public_domain_text</span><span class="p">(</span>
     <span class="n">df</span><span class="p">,</span>
     <span class="n">container_name</span><span class="p">,</span>
     <span class="n">azure_storage_account_name</span><span class="o">=</span><span class="s2">&quot;azureopendatastorage&quot;</span><span class="p">,</span>
@@ -517,6 +544,7 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
     <span class="n">df_full</span> <span class="o">=</span> <span class="n">df_full</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
 
     <span class="k">return</span> <span class="n">df_full</span></div>
+
 </pre></div>
 
                 </article>
@@ -557,7 +585,7 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -581,8 +609,8 @@ <h1>Source code for recommenders.datasets.covid_utils</h1><div class="highlight"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/datasets/criteo.html b/docs/_build/html/_modules/recommenders/datasets/criteo.html
index 4d78d0a0f..b36ae7504 100644
--- a/docs/_build/html/_modules/recommenders/datasets/criteo.html
+++ b/docs/_build/html/_modules/recommenders/datasets/criteo.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/criteo';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/criteo.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -354,7 +364,9 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="load_pandas_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.load_pandas_df">[docs]</a><span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="n">local_cache_path</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">):</span>
+<div class="viewcode-block" id="load_pandas_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.load_pandas_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="n">local_cache_path</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Loads the Criteo DAC dataset as `pandas.DataFrame`. This function download, untar, and load the dataset.</span>
 
 <span class="sd">    The dataset consists of a portion of Criteo’s traffic over a period</span>
@@ -389,7 +401,10 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="load_spark_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.load_spark_df">[docs]</a><span class="k">def</span> <span class="nf">load_spark_df</span><span class="p">(</span>
+
+<div class="viewcode-block" id="load_spark_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.load_spark_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_spark_df</span><span class="p">(</span>
     <span class="n">spark</span><span class="p">,</span>
     <span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span>
     <span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">,</span>
@@ -451,7 +466,10 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="download_criteo"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.download_criteo">[docs]</a><span class="k">def</span> <span class="nf">download_criteo</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="s2">&quot;.&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="download_criteo">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.download_criteo">[docs]</a>
+<span class="k">def</span> <span class="nf">download_criteo</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="s2">&quot;.&quot;</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download criteo dataset as a compressed file.</span>
 
 <span class="sd">    Args:</span>
@@ -466,7 +484,10 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">maybe_download</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="n">work_directory</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="extract_criteo"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.extract_criteo">[docs]</a><span class="k">def</span> <span class="nf">extract_criteo</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">compressed_file</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="extract_criteo">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.extract_criteo">[docs]</a>
+<span class="k">def</span> <span class="nf">extract_criteo</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">compressed_file</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Extract Criteo dataset tar.</span>
 
 <span class="sd">    Args:</span>
@@ -510,7 +531,10 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">extracted_dir</span><span class="p">,</span> <span class="n">filename_selector</span><span class="p">[</span><span class="n">size</span><span class="p">])</span></div>
 
 
-<div class="viewcode-block" id="get_spark_schema"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.get_spark_schema">[docs]</a><span class="k">def</span> <span class="nf">get_spark_schema</span><span class="p">(</span><span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_spark_schema">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.criteo.get_spark_schema">[docs]</a>
+<span class="k">def</span> <span class="nf">get_spark_schema</span><span class="p">(</span><span class="n">header</span><span class="o">=</span><span class="n">DEFAULT_HEADER</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get Spark schema from header.</span>
 
 <span class="sd">    Args:</span>
@@ -529,6 +553,7 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
     <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">26</span><span class="p">):</span>
         <span class="n">schema</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">StructField</span><span class="p">(</span><span class="n">header</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="n">n_ints</span><span class="p">],</span> <span class="n">StringType</span><span class="p">()))</span>
     <span class="k">return</span> <span class="n">schema</span></div>
+
 </pre></div>
 
                 </article>
@@ -569,7 +594,7 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -593,8 +618,8 @@ <h1>Source code for recommenders.datasets.criteo</h1><div class="highlight"><pre
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/datasets/download_utils.html b/docs/_build/html/_modules/recommenders/datasets/download_utils.html
index 7dcaecb1e..051aaaee2 100644
--- a/docs/_build/html/_modules/recommenders/datasets/download_utils.html
+++ b/docs/_build/html/_modules/recommenders/datasets/download_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
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-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/download_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/download_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
 <span class="n">log</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="maybe_download"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.maybe_download">[docs]</a><span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+<div class="viewcode-block" id="maybe_download">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.maybe_download">[docs]</a>
+<span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">maybe_download</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="s2">&quot;.&quot;</span><span class="p">,</span> <span class="n">expected_bytes</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download a file if it is not already downloaded.</span>
 
@@ -389,7 +401,10 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
     <span class="k">return</span> <span class="n">filepath</span></div>
 
 
-<div class="viewcode-block" id="download_path"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.download_path">[docs]</a><span class="nd">@contextmanager</span>
+
+<div class="viewcode-block" id="download_path">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.download_path">[docs]</a>
+<span class="nd">@contextmanager</span>
 <span class="k">def</span> <span class="nf">download_path</span><span class="p">(</span><span class="n">path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Return a path to download data. If `path=None`, then it yields a temporal path that is eventually deleted,</span>
 <span class="sd">    otherwise the real path of the input.</span>
@@ -416,7 +431,10 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
         <span class="k">yield</span> <span class="n">path</span></div>
 
 
-<div class="viewcode-block" id="unzip_file"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.unzip_file">[docs]</a><span class="k">def</span> <span class="nf">unzip_file</span><span class="p">(</span><span class="n">zip_src</span><span class="p">,</span> <span class="n">dst_dir</span><span class="p">,</span> <span class="n">clean_zip_file</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="unzip_file">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.download_utils.unzip_file">[docs]</a>
+<span class="k">def</span> <span class="nf">unzip_file</span><span class="p">(</span><span class="n">zip_src</span><span class="p">,</span> <span class="n">dst_dir</span><span class="p">,</span> <span class="n">clean_zip_file</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Unzip a file</span>
 
 <span class="sd">    Args:</span>
@@ -429,6 +447,7 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
         <span class="n">fz</span><span class="o">.</span><span class="n">extract</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">dst_dir</span><span class="p">)</span>
     <span class="k">if</span> <span class="n">clean_zip_file</span><span class="p">:</span>
         <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">zip_src</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -469,7 +488,7 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -493,8 +512,8 @@ <h1>Source code for recommenders.datasets.download_utils</h1><div class="highlig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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diff --git a/docs/_build/html/_modules/recommenders/datasets/mind.html b/docs/_build/html/_modules/recommenders/datasets/mind.html
index 669178b37..b0dfd6486 100644
--- a/docs/_build/html/_modules/recommenders/datasets/mind.html
+++ b/docs/_build/html/_modules/recommenders/datasets/mind.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/mind';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/mind.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -376,7 +386,9 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="download_mind"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.download_mind">[docs]</a><span class="k">def</span> <span class="nf">download_mind</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;small&quot;</span><span class="p">,</span> <span class="n">dest_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="download_mind">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.download_mind">[docs]</a>
+<span class="k">def</span> <span class="nf">download_mind</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="s2">&quot;small&quot;</span><span class="p">,</span> <span class="n">dest_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download MIND dataset</span>
 
 <span class="sd">    Args:</span>
@@ -396,7 +408,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">train_path</span><span class="p">,</span> <span class="n">valid_path</span></div>
 
 
-<div class="viewcode-block" id="extract_mind"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.extract_mind">[docs]</a><span class="k">def</span> <span class="nf">extract_mind</span><span class="p">(</span>
+
+<div class="viewcode-block" id="extract_mind">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.extract_mind">[docs]</a>
+<span class="k">def</span> <span class="nf">extract_mind</span><span class="p">(</span>
     <span class="n">train_zip</span><span class="p">,</span>
     <span class="n">valid_zip</span><span class="p">,</span>
     <span class="n">train_folder</span><span class="o">=</span><span class="s2">&quot;train&quot;</span><span class="p">,</span>
@@ -422,7 +437,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">train_path</span><span class="p">,</span> <span class="n">valid_path</span></div>
 
 
-<div class="viewcode-block" id="read_clickhistory"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.read_clickhistory">[docs]</a><span class="k">def</span> <span class="nf">read_clickhistory</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="read_clickhistory">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.read_clickhistory">[docs]</a>
+<span class="k">def</span> <span class="nf">read_clickhistory</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Read click history file</span>
 
 <span class="sd">    Args:</span>
@@ -454,6 +472,7 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">sessions</span><span class="p">,</span> <span class="n">userid_history</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_newsample</span><span class="p">(</span><span class="n">nnn</span><span class="p">,</span> <span class="n">ratio</span><span class="p">):</span>
     <span class="k">if</span> <span class="n">ratio</span> <span class="o">&gt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">nnn</span><span class="p">):</span>
         <span class="k">return</span> <span class="n">random</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">nnn</span> <span class="o">*</span> <span class="p">(</span><span class="n">ratio</span> <span class="o">//</span> <span class="nb">len</span><span class="p">(</span><span class="n">nnn</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">),</span> <span class="n">ratio</span><span class="p">)</span>
@@ -461,7 +480,9 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">random</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">nnn</span><span class="p">,</span> <span class="n">ratio</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="get_train_input"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_train_input">[docs]</a><span class="k">def</span> <span class="nf">get_train_input</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">train_file_path</span><span class="p">,</span> <span class="n">npratio</span><span class="o">=</span><span class="mi">4</span><span class="p">):</span>
+<div class="viewcode-block" id="get_train_input">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_train_input">[docs]</a>
+<span class="k">def</span> <span class="nf">get_train_input</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">train_file_path</span><span class="p">,</span> <span class="n">npratio</span><span class="o">=</span><span class="mi">4</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate train file.</span>
 
 <span class="sd">    Args:</span>
@@ -486,7 +507,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error when generating </span><span class="si">{</span><span class="n">train_file_path</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_valid_input"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_valid_input">[docs]</a><span class="k">def</span> <span class="nf">get_valid_input</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">valid_file_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_valid_input">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_valid_input">[docs]</a>
+<span class="k">def</span> <span class="nf">get_valid_input</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">valid_file_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate validation file.</span>
 
 <span class="sd">    Args:</span>
@@ -511,7 +535,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error when generating </span><span class="si">{</span><span class="n">valid_file_path</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_user_history"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_user_history">[docs]</a><span class="k">def</span> <span class="nf">get_user_history</span><span class="p">(</span><span class="n">train_history</span><span class="p">,</span> <span class="n">valid_history</span><span class="p">,</span> <span class="n">user_history_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_user_history">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_user_history">[docs]</a>
+<span class="k">def</span> <span class="nf">get_user_history</span><span class="p">(</span><span class="n">train_history</span><span class="p">,</span> <span class="n">valid_history</span><span class="p">,</span> <span class="n">user_history_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate user history file.</span>
 
 <span class="sd">    Args:</span>
@@ -535,6 +562,7 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error when generating </span><span class="si">{</span><span class="n">user_history_path</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_read_news</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">news_words</span><span class="p">,</span> <span class="n">news_entities</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">):</span>
     <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
         <span class="n">lines</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">readlines</span><span class="p">()</span>
@@ -549,7 +577,9 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">news_words</span><span class="p">,</span> <span class="n">news_entities</span>
 
 
-<div class="viewcode-block" id="get_words_and_entities"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_words_and_entities">[docs]</a><span class="k">def</span> <span class="nf">get_words_and_entities</span><span class="p">(</span><span class="n">train_news</span><span class="p">,</span> <span class="n">valid_news</span><span class="p">):</span>
+<div class="viewcode-block" id="get_words_and_entities">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.get_words_and_entities">[docs]</a>
+<span class="k">def</span> <span class="nf">get_words_and_entities</span><span class="p">(</span><span class="n">train_news</span><span class="p">,</span> <span class="n">valid_news</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Load words and entities</span>
 
 <span class="sd">    Args:</span>
@@ -571,7 +601,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">news_words</span><span class="p">,</span> <span class="n">news_entities</span></div>
 
 
-<div class="viewcode-block" id="download_and_extract_glove"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.download_and_extract_glove">[docs]</a><span class="k">def</span> <span class="nf">download_and_extract_glove</span><span class="p">(</span><span class="n">dest_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="download_and_extract_glove">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.download_and_extract_glove">[docs]</a>
+<span class="k">def</span> <span class="nf">download_and_extract_glove</span><span class="p">(</span><span class="n">dest_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download and extract the Glove embedding</span>
 
 <span class="sd">    Args:</span>
@@ -588,7 +621,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">glove_path</span></div>
 
 
-<div class="viewcode-block" id="generate_embeddings"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.generate_embeddings">[docs]</a><span class="k">def</span> <span class="nf">generate_embeddings</span><span class="p">(</span>
+
+<div class="viewcode-block" id="generate_embeddings">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.generate_embeddings">[docs]</a>
+<span class="k">def</span> <span class="nf">generate_embeddings</span><span class="p">(</span>
     <span class="n">data_path</span><span class="p">,</span>
     <span class="n">news_words</span><span class="p">,</span>
     <span class="n">news_entities</span><span class="p">,</span>
@@ -723,7 +759,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">news_feature_path</span><span class="p">,</span> <span class="n">word_embeddings_path</span><span class="p">,</span> <span class="n">entity_embeddings_path</span></div>
 
 
-<div class="viewcode-block" id="load_glove_matrix"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.load_glove_matrix">[docs]</a><span class="k">def</span> <span class="nf">load_glove_matrix</span><span class="p">(</span><span class="n">path_emb</span><span class="p">,</span> <span class="n">word_dict</span><span class="p">,</span> <span class="n">word_embedding_dim</span><span class="p">):</span>
+
+<div class="viewcode-block" id="load_glove_matrix">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.load_glove_matrix">[docs]</a>
+<span class="k">def</span> <span class="nf">load_glove_matrix</span><span class="p">(</span><span class="n">path_emb</span><span class="p">,</span> <span class="n">word_dict</span><span class="p">,</span> <span class="n">word_embedding_dim</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Load pretrained embedding metrics of words in word_dict</span>
 
 <span class="sd">    Args:</span>
@@ -752,7 +791,10 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">embedding_matrix</span><span class="p">,</span> <span class="n">exist_word</span></div>
 
 
-<div class="viewcode-block" id="word_tokenize"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.word_tokenize">[docs]</a><span class="k">def</span> <span class="nf">word_tokenize</span><span class="p">(</span><span class="n">sent</span><span class="p">):</span>
+
+<div class="viewcode-block" id="word_tokenize">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.mind.word_tokenize">[docs]</a>
+<span class="k">def</span> <span class="nf">word_tokenize</span><span class="p">(</span><span class="n">sent</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Tokenize a sententence</span>
 
 <span class="sd">    Args:</span>
@@ -768,6 +810,7 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">pat</span><span class="o">.</span><span class="n">findall</span><span class="p">(</span><span class="n">sent</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="k">return</span> <span class="p">[]</span></div>
+
 </pre></div>
 
                 </article>
@@ -808,7 +851,7 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -832,8 +875,8 @@ <h1>Source code for recommenders.datasets.mind</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/datasets/movielens.html b/docs/_build/html/_modules/recommenders/datasets/movielens.html
index 5026d8ab5..f9722e74b 100644
--- a/docs/_build/html/_modules/recommenders/datasets/movielens.html
+++ b/docs/_build/html/_modules/recommenders/datasets/movielens.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
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+const thebe_selector = ".thebe,.cell"
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+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <script src="../../../_static/design-tabs.js"></script>
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 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/movielens';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/movielens.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
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 </form></div>
   </div>
-
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+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -477,7 +487,9 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
 <span class="n">ERROR_HEADER</span> <span class="o">=</span> <span class="s2">&quot;Header error. At least user and movie column names should be provided&quot;</span>
 
 
-<div class="viewcode-block" id="load_pandas_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_pandas_df">[docs]</a><span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span>
+<div class="viewcode-block" id="load_pandas_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_pandas_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_pandas_df</span><span class="p">(</span>
     <span class="n">size</span><span class="o">=</span><span class="s2">&quot;100k&quot;</span><span class="p">,</span>
     <span class="n">header</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">local_cache_path</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -579,7 +591,10 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="load_item_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_item_df">[docs]</a><span class="k">def</span> <span class="nf">load_item_df</span><span class="p">(</span>
+
+<div class="viewcode-block" id="load_item_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_item_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_item_df</span><span class="p">(</span>
     <span class="n">size</span><span class="o">=</span><span class="s2">&quot;100k&quot;</span><span class="p">,</span>
     <span class="n">local_cache_path</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">movie_col</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span><span class="p">,</span>
@@ -616,6 +631,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">item_df</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_load_item_df</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">item_datapath</span><span class="p">,</span> <span class="n">movie_col</span><span class="p">,</span> <span class="n">title_col</span><span class="p">,</span> <span class="n">genres_col</span><span class="p">,</span> <span class="n">year_col</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Loads Movie info&quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="n">title_col</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">genres_col</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">year_col</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
@@ -681,7 +697,9 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">item_df</span>
 
 
-<div class="viewcode-block" id="load_spark_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_spark_df">[docs]</a><span class="k">def</span> <span class="nf">load_spark_df</span><span class="p">(</span>
+<div class="viewcode-block" id="load_spark_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.load_spark_df">[docs]</a>
+<span class="k">def</span> <span class="nf">load_spark_df</span><span class="p">(</span>
     <span class="n">spark</span><span class="p">,</span>
     <span class="n">size</span><span class="o">=</span><span class="s2">&quot;100k&quot;</span><span class="p">,</span>
     <span class="n">header</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -822,6 +840,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">df</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_get_schema</span><span class="p">(</span><span class="n">header</span><span class="p">,</span> <span class="n">schema</span><span class="p">):</span>
     <span class="k">if</span> <span class="n">schema</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">schema</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
         <span class="c1"># Use header to generate schema</span>
@@ -870,7 +889,9 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">rating_path</span><span class="p">,</span> <span class="n">item_path</span>
 
 
-<div class="viewcode-block" id="download_movielens"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.download_movielens">[docs]</a><span class="k">def</span> <span class="nf">download_movielens</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
+<div class="viewcode-block" id="download_movielens">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.download_movielens">[docs]</a>
+<span class="k">def</span> <span class="nf">download_movielens</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Downloads MovieLens datafile.</span>
 
 <span class="sd">    Args:</span>
@@ -885,7 +906,10 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="n">maybe_download</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">file</span><span class="p">,</span> <span class="n">work_directory</span><span class="o">=</span><span class="n">dirs</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="extract_movielens"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.extract_movielens">[docs]</a><span class="k">def</span> <span class="nf">extract_movielens</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">rating_path</span><span class="p">,</span> <span class="n">item_path</span><span class="p">,</span> <span class="n">zip_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="extract_movielens">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.extract_movielens">[docs]</a>
+<span class="k">def</span> <span class="nf">extract_movielens</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">rating_path</span><span class="p">,</span> <span class="n">item_path</span><span class="p">,</span> <span class="n">zip_path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Extract MovieLens rating and item datafiles from the MovieLens raw zip file.</span>
 
 <span class="sd">    To extract all files instead of just rating and item datafiles,</span>
@@ -904,13 +928,16 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
             <span class="n">shutil</span><span class="o">.</span><span class="n">copyfileobj</span><span class="p">(</span><span class="n">zf</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span></div>
 
 
+
 <span class="c1"># For more information on data synthesis, see https://pandera.readthedocs.io/en/latest/data_synthesis_strategies.html</span>
 <span class="nd">@extensions</span><span class="o">.</span><span class="n">register_check_method</span><span class="p">(</span><span class="n">statistics</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;columns&quot;</span><span class="p">],</span> <span class="n">supported_types</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">unique_columns</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">columns</span><span class="p">):</span>
     <span class="k">return</span> <span class="ow">not</span> <span class="n">df</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">duplicated</span><span class="p">()</span><span class="o">.</span><span class="n">any</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="MockMovielensSchema"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema">[docs]</a><span class="k">class</span> <span class="nc">MockMovielensSchema</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">SchemaModel</span><span class="p">):</span>
+<div class="viewcode-block" id="MockMovielensSchema">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema">[docs]</a>
+<span class="k">class</span> <span class="nc">MockMovielensSchema</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">SchemaModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Mock dataset schema to generate fake data for testing purpose.</span>
 <span class="sd">    This schema is configured to mimic the Movielens dataset</span>
@@ -939,7 +966,9 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
     <span class="n">title</span><span class="p">:</span> <span class="n">Series</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="n">Field</span><span class="p">(</span><span class="n">eq</span><span class="o">=</span><span class="s2">&quot;foo&quot;</span><span class="p">,</span> <span class="n">alias</span><span class="o">=</span><span class="n">DEFAULT_TITLE_COL</span><span class="p">)</span>
     <span class="n">genre</span><span class="p">:</span> <span class="n">Series</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="n">Field</span><span class="p">(</span><span class="n">eq</span><span class="o">=</span><span class="s2">&quot;genreA|0&quot;</span><span class="p">,</span> <span class="n">alias</span><span class="o">=</span><span class="n">DEFAULT_GENRE_COL</span><span class="p">)</span>
 
-<div class="viewcode-block" id="MockMovielensSchema.get_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema.get_df">[docs]</a>    <span class="nd">@classmethod</span>
+<div class="viewcode-block" id="MockMovielensSchema.get_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema.get_df">[docs]</a>
+    <span class="nd">@classmethod</span>
     <span class="k">def</span> <span class="nf">get_df</span><span class="p">(</span>
         <span class="bp">cls</span><span class="p">,</span>
         <span class="n">size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span><span class="p">,</span>
@@ -976,7 +1005,10 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
         <span class="n">schema</span><span class="o">.</span><span class="n">checks</span> <span class="o">=</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">Check</span><span class="o">.</span><span class="n">unique_columns</span><span class="p">([</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">DEFAULT_ITEM_COL</span><span class="p">])]</span>
         <span class="k">return</span> <span class="n">schema</span><span class="o">.</span><span class="n">example</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="n">size</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MockMovielensSchema.get_spark_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df">[docs]</a>    <span class="nd">@classmethod</span>
+
+<div class="viewcode-block" id="MockMovielensSchema.get_spark_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df">[docs]</a>
+    <span class="nd">@classmethod</span>
     <span class="k">def</span> <span class="nf">get_spark_df</span><span class="p">(</span>
         <span class="bp">cls</span><span class="p">,</span>
         <span class="n">spark</span><span class="p">,</span>
@@ -1023,6 +1055,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
             <span class="n">spark_df</span> <span class="o">=</span> <span class="n">spark_df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">DEFAULT_GENRE_COL</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">spark_df</span></div>
 
+
     <span class="nd">@classmethod</span>
     <span class="k">def</span> <span class="nf">_get_spark_deserialization_schema</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
         <span class="k">return</span> <span class="n">StructType</span><span class="p">(</span>
@@ -1035,6 +1068,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
                 <span class="n">StructField</span><span class="p">(</span><span class="n">DEFAULT_GENRE_COL</span><span class="p">,</span> <span class="n">StringType</span><span class="p">()),</span>
             <span class="p">]</span>
         <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -1075,7 +1109,7 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1099,8 +1133,8 @@ <h1>Source code for recommenders.datasets.movielens</h1><div class="highlight"><
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/datasets/pandas_df_utils.html b/docs/_build/html/_modules/recommenders/datasets/pandas_df_utils.html
index 5aa7964f5..dae3b5593 100644
--- a/docs/_build/html/_modules/recommenders/datasets/pandas_df_utils.html
+++ b/docs/_build/html/_modules/recommenders/datasets/pandas_df_utils.html
@@ -1,9 +1,8 @@
 
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
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-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <script src="../../../_static/design-tabs.js"></script>
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 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/pandas_df_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/pandas_df_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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@@ -120,13 +122,10 @@
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 </form></div>
   </div>
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+    </header>
   
-  </header>
 
   <div class="bd-container">
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@@ -167,7 +166,18 @@
   
   
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -345,7 +355,9 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="user_item_pairs"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.user_item_pairs">[docs]</a><span class="k">def</span> <span class="nf">user_item_pairs</span><span class="p">(</span>
+<div class="viewcode-block" id="user_item_pairs">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.user_item_pairs">[docs]</a>
+<span class="k">def</span> <span class="nf">user_item_pairs</span><span class="p">(</span>
     <span class="n">user_df</span><span class="p">,</span>
     <span class="n">item_df</span><span class="p">,</span>
     <span class="n">user_col</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -390,7 +402,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="k">return</span> <span class="n">users_items</span></div>
 
 
-<div class="viewcode-block" id="filter_by"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.filter_by">[docs]</a><span class="k">def</span> <span class="nf">filter_by</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">filter_by_df</span><span class="p">,</span> <span class="n">filter_by_cols</span><span class="p">):</span>
+
+<div class="viewcode-block" id="filter_by">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.filter_by">[docs]</a>
+<span class="k">def</span> <span class="nf">filter_by</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">filter_by_df</span><span class="p">,</span> <span class="n">filter_by_cols</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;From the input DataFrame `df`, remove the records whose target column `filter_by_cols` values are</span>
 <span class="sd">    exist in the filter-by DataFrame `filter_by_df`.</span>
 
@@ -411,7 +426,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="p">]</span></div>
 
 
-<div class="viewcode-block" id="LibffmConverter"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter">[docs]</a><span class="k">class</span> <span class="nc">LibffmConverter</span><span class="p">:</span>
+
+<div class="viewcode-block" id="LibffmConverter">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter">[docs]</a>
+<span class="k">class</span> <span class="nc">LibffmConverter</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Converts an input dataframe to another dataframe in libffm format. A text file of the converted</span>
 <span class="sd">    Dataframe is optionally generated.</span>
 
@@ -475,7 +493,9 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
         <span class="bp">self</span><span class="o">.</span><span class="n">field_count</span> <span class="o">=</span> <span class="kc">None</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">feature_count</span> <span class="o">=</span> <span class="kc">None</span>
 
-<div class="viewcode-block" id="LibffmConverter.fit"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">):</span>
+<div class="viewcode-block" id="LibffmConverter.fit">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit the dataframe for libffm format.</span>
 <span class="sd">        This method does nothing but check the validity of the input columns</span>
 
@@ -507,7 +527,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="LibffmConverter.transform"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.transform">[docs]</a>    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LibffmConverter.transform">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Tranform an input dataset with the same schema (column names and dtypes) to libffm format</span>
 <span class="sd">        by using the fitted converter.</span>
 
@@ -567,7 +590,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="n">df</span></div>
 
-<div class="viewcode-block" id="LibffmConverter.fit_transform"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform">[docs]</a>    <span class="k">def</span> <span class="nf">fit_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LibffmConverter.fit_transform">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Do fit and transform in a row</span>
 
 <span class="sd">        Args:</span>
@@ -579,7 +605,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">col_rating</span><span class="p">)</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">df</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="LibffmConverter.get_params"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params">[docs]</a>    <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LibffmConverter.get_params">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get parameters (attributes) of the libffm converter</span>
 
 <span class="sd">        Return:</span>
@@ -589,10 +618,14 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
             <span class="s2">&quot;field count&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">field_count</span><span class="p">,</span>
             <span class="s2">&quot;feature count&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_count</span><span class="p">,</span>
             <span class="s2">&quot;file path&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">filepath</span><span class="p">,</span>
-        <span class="p">}</span></div></div>
+        <span class="p">}</span></div>
+</div>
 
 
-<div class="viewcode-block" id="negative_feedback_sampler"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.negative_feedback_sampler">[docs]</a><span class="k">def</span> <span class="nf">negative_feedback_sampler</span><span class="p">(</span>
+
+<div class="viewcode-block" id="negative_feedback_sampler">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.negative_feedback_sampler">[docs]</a>
+<span class="k">def</span> <span class="nf">negative_feedback_sampler</span><span class="p">(</span>
     <span class="n">df</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
     <span class="n">col_item</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span><span class="p">,</span>
@@ -683,7 +716,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="has_columns"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.has_columns">[docs]</a><span class="k">def</span> <span class="nf">has_columns</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">columns</span><span class="p">):</span>
+
+<div class="viewcode-block" id="has_columns">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.has_columns">[docs]</a>
+<span class="k">def</span> <span class="nf">has_columns</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">columns</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if DataFrame has necessary columns</span>
 
 <span class="sd">    Args:</span>
@@ -698,7 +734,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="k">return</span> <span class="n">columns</span><span class="o">.</span><span class="n">issubset</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="has_same_base_dtype"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.has_same_base_dtype">[docs]</a><span class="k">def</span> <span class="nf">has_same_base_dtype</span><span class="p">(</span><span class="n">df_1</span><span class="p">,</span> <span class="n">df_2</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="has_same_base_dtype">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.has_same_base_dtype">[docs]</a>
+<span class="k">def</span> <span class="nf">has_same_base_dtype</span><span class="p">(</span><span class="n">df_1</span><span class="p">,</span> <span class="n">df_2</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if specified columns have the same base dtypes across both DataFrames</span>
 
 <span class="sd">    Args:</span>
@@ -732,7 +771,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
     <span class="k">return</span> <span class="n">result</span></div>
 
 
-<div class="viewcode-block" id="PandasHash"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.PandasHash">[docs]</a><span class="k">class</span> <span class="nc">PandasHash</span><span class="p">:</span>
+
+<div class="viewcode-block" id="PandasHash">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.PandasHash">[docs]</a>
+<span class="k">class</span> <span class="nc">PandasHash</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Wrapper class to allow pandas objects (DataFrames or Series) to be hashable&quot;&quot;&quot;</span>
 
     <span class="c1"># reserve space just for a single pandas object</span>
@@ -776,7 +818,10 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
         <span class="k">return</span> <span class="nb">hash</span><span class="p">(</span><span class="n">hashable</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="lru_cache_df"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.lru_cache_df">[docs]</a><span class="k">def</span> <span class="nf">lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="p">,</span> <span class="n">typed</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="lru_cache_df">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.pandas_df_utils.lru_cache_df">[docs]</a>
+<span class="k">def</span> <span class="nf">lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="p">,</span> <span class="n">typed</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Least-recently-used cache decorator for pandas Dataframes.</span>
 
 <span class="sd">    Decorator to wrap a function with a memoizing callable that saves up to the maxsize most recent calls. It can</span>
@@ -819,6 +864,7 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
         <span class="k">return</span> <span class="n">wrapper</span>
 
     <span class="k">return</span> <span class="n">decorating_function</span></div>
+
 </pre></div>
 
                 </article>
@@ -859,7 +905,7 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -883,8 +929,8 @@ <h1>Source code for recommenders.datasets.pandas_df_utils</h1><div class="highli
   </div>
   
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-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/docs/_build/html/_modules/recommenders/datasets/python_splitters.html b/docs/_build/html/_modules/recommenders/datasets/python_splitters.html
index c332f9b7c..b570583da 100644
--- a/docs/_build/html/_modules/recommenders/datasets/python_splitters.html
+++ b/docs/_build/html/_modules/recommenders/datasets/python_splitters.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
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     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
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-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/python_splitters';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/python_splitters.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
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 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -344,7 +354,9 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="python_random_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_random_split">[docs]</a><span class="k">def</span> <span class="nf">python_random_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
+<div class="viewcode-block" id="python_random_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_random_split">[docs]</a>
+<span class="k">def</span> <span class="nf">python_random_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Pandas random splitter.</span>
 
 <span class="sd">    The splitter randomly splits the input data.</span>
@@ -372,6 +384,7 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
         <span class="k">return</span> <span class="n">sk_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">train_size</span><span class="o">=</span><span class="n">ratio</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_do_stratification</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
@@ -444,7 +457,9 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
     <span class="k">return</span> <span class="n">splits</span>
 
 
-<div class="viewcode-block" id="python_chrono_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_chrono_split">[docs]</a><span class="k">def</span> <span class="nf">python_chrono_split</span><span class="p">(</span>
+<div class="viewcode-block" id="python_chrono_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_chrono_split">[docs]</a>
+<span class="k">def</span> <span class="nf">python_chrono_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -489,7 +504,10 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="python_stratified_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_stratified_split">[docs]</a><span class="k">def</span> <span class="nf">python_stratified_split</span><span class="p">(</span>
+
+<div class="viewcode-block" id="python_stratified_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.python_stratified_split">[docs]</a>
+<span class="k">def</span> <span class="nf">python_stratified_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -532,7 +550,10 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="numpy_stratified_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.numpy_stratified_split">[docs]</a><span class="k">def</span> <span class="nf">numpy_stratified_split</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
+
+<div class="viewcode-block" id="numpy_stratified_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.python_splitters.numpy_stratified_split">[docs]</a>
+<span class="k">def</span> <span class="nf">numpy_stratified_split</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Split the user/item affinity matrix (sparse matrix) into train and test set matrices while maintaining</span>
 <span class="sd">    local (i.e. per user) ratios.</span>
 
@@ -604,6 +625,7 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
     <span class="k">del</span> <span class="n">idx</span><span class="p">,</span> <span class="n">idx_train</span><span class="p">,</span> <span class="n">idx_tst</span>
 
     <span class="k">return</span> <span class="n">Xtr</span><span class="p">,</span> <span class="n">Xtst</span></div>
+
 </pre></div>
 
                 </article>
@@ -644,7 +666,7 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -668,8 +690,8 @@ <h1>Source code for recommenders.datasets.python_splitters</h1><div class="highl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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diff --git a/docs/_build/html/_modules/recommenders/datasets/spark_splitters.html b/docs/_build/html/_modules/recommenders/datasets/spark_splitters.html
index c326406c2..8e498143f 100644
--- a/docs/_build/html/_modules/recommenders/datasets/spark_splitters.html
+++ b/docs/_build/html/_modules/recommenders/datasets/spark_splitters.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -348,7 +358,9 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="spark_random_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_random_split">[docs]</a><span class="k">def</span> <span class="nf">spark_random_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
+<div class="viewcode-block" id="spark_random_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_random_split">[docs]</a>
+<span class="k">def</span> <span class="nf">spark_random_split</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Spark random splitter.</span>
 
 <span class="sd">    Randomly split the data into several splits.</span>
@@ -373,6 +385,7 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
         <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">randomSplit</span><span class="p">([</span><span class="n">ratio</span><span class="p">,</span> <span class="mi">1</span> <span class="o">-</span> <span class="n">ratio</span><span class="p">],</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_do_stratification_spark</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
@@ -474,7 +487,9 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
     <span class="k">return</span> <span class="n">splits</span>
 
 
-<div class="viewcode-block" id="spark_chrono_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_chrono_split">[docs]</a><span class="k">def</span> <span class="nf">spark_chrono_split</span><span class="p">(</span>
+<div class="viewcode-block" id="spark_chrono_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_chrono_split">[docs]</a>
+<span class="k">def</span> <span class="nf">spark_chrono_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -521,7 +536,10 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="spark_stratified_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_stratified_split">[docs]</a><span class="k">def</span> <span class="nf">spark_stratified_split</span><span class="p">(</span>
+
+<div class="viewcode-block" id="spark_stratified_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_stratified_split">[docs]</a>
+<span class="k">def</span> <span class="nf">spark_stratified_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -565,7 +583,10 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="spark_timestamp_split"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_timestamp_split">[docs]</a><span class="k">def</span> <span class="nf">spark_timestamp_split</span><span class="p">(</span>
+
+<div class="viewcode-block" id="spark_timestamp_split">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.spark_splitters.spark_timestamp_split">[docs]</a>
+<span class="k">def</span> <span class="nf">spark_timestamp_split</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">ratio</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -603,6 +624,7 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
         <span class="n">col_item</span><span class="o">=</span><span class="n">col_item</span><span class="p">,</span>
         <span class="n">col_timestamp</span><span class="o">=</span><span class="n">col_timestamp</span><span class="p">,</span>
     <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -643,7 +665,7 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -667,8 +689,8 @@ <h1>Source code for recommenders.datasets.spark_splitters</h1><div class="highli
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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diff --git a/docs/_build/html/_modules/recommenders/datasets/sparse.html b/docs/_build/html/_modules/recommenders/datasets/sparse.html
index ce8332438..c2dc7ac77 100644
--- a/docs/_build/html/_modules/recommenders/datasets/sparse.html
+++ b/docs/_build/html/_modules/recommenders/datasets/sparse.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/sparse';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/sparse.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -348,7 +358,9 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
 <span class="n">log</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="AffinityMatrix"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix">[docs]</a><span class="k">class</span> <span class="nc">AffinityMatrix</span><span class="p">:</span>
+<div class="viewcode-block" id="AffinityMatrix">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix">[docs]</a>
+<span class="k">class</span> <span class="nc">AffinityMatrix</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate the user/item affinity matrix from a pandas dataframe and vice versa&quot;&quot;&quot;</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
@@ -434,7 +446,9 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
             <span class="n">np</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">save_path</span> <span class="o">+</span> <span class="s2">&quot;/user_back_dict&quot;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_back_users</span><span class="p">)</span>
             <span class="n">np</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">save_path</span> <span class="o">+</span> <span class="s2">&quot;/item_back_dict&quot;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_back_items</span><span class="p">)</span>
 
-<div class="viewcode-block" id="AffinityMatrix.gen_affinity_matrix"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix">[docs]</a>    <span class="k">def</span> <span class="nf">gen_affinity_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="AffinityMatrix.gen_affinity_matrix">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_affinity_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Generate the user/item affinity matrix.</span>
 
 <span class="sd">        As a first step, two new columns are added to the input DF, containing the index maps</span>
@@ -470,7 +484,10 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
 
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">AM</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_users</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_items</span></div>
 
-<div class="viewcode-block" id="AffinityMatrix.map_back_sparse"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse">[docs]</a>    <span class="k">def</span> <span class="nf">map_back_sparse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">kind</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AffinityMatrix.map_back_sparse">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse">[docs]</a>
+    <span class="k">def</span> <span class="nf">map_back_sparse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">kind</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Map back the user/affinity matrix to a pd dataframe</span>
 
 <span class="sd">        Args:</span>
@@ -510,7 +527,9 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
         <span class="n">out_df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_user</span><span class="p">]</span> <span class="o">=</span> <span class="n">out_df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_user</span><span class="p">]</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">map_back_users</span><span class="p">)</span>
         <span class="n">out_df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_item</span><span class="p">]</span> <span class="o">=</span> <span class="n">out_df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_item</span><span class="p">]</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">map_back_items</span><span class="p">)</span>
 
-        <span class="k">return</span> <span class="n">out_df</span></div></div>
+        <span class="k">return</span> <span class="n">out_df</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -551,7 +570,7 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -575,8 +594,8 @@ <h1>Source code for recommenders.datasets.sparse</h1><div class="highlight"><pre
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/datasets/split_utils.html b/docs/_build/html/_modules/recommenders/datasets/split_utils.html
index ead8f2287..a252d57cd 100644
--- a/docs/_build/html/_modules/recommenders/datasets/split_utils.html
+++ b/docs/_build/html/_modules/recommenders/datasets/split_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
-    <script src="../../../_static/jquery.js"></script>
-    <script src="../../../_static/underscore.js"></script>
-    <script src="../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../_static/doctools.js"></script>
-    <script src="../../../_static/clipboard.min.js"></script>
-    <script src="../../../_static/copybutton.js"></script>
-    <script src="../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/split_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/split_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">pass</span>  <span class="c1"># so the environment without spark doesn&#39;t break</span>
 
 
-<div class="viewcode-block" id="process_split_ratio"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.process_split_ratio">[docs]</a><span class="k">def</span> <span class="nf">process_split_ratio</span><span class="p">(</span><span class="n">ratio</span><span class="p">):</span>
+<div class="viewcode-block" id="process_split_ratio">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.process_split_ratio">[docs]</a>
+<span class="k">def</span> <span class="nf">process_split_ratio</span><span class="p">(</span><span class="n">ratio</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate split ratio lists.</span>
 
 <span class="sd">    Args:</span>
@@ -377,7 +389,10 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">multi</span><span class="p">,</span> <span class="n">ratio</span></div>
 
 
-<div class="viewcode-block" id="min_rating_filter_pandas"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.min_rating_filter_pandas">[docs]</a><span class="k">def</span> <span class="nf">min_rating_filter_pandas</span><span class="p">(</span>
+
+<div class="viewcode-block" id="min_rating_filter_pandas">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.min_rating_filter_pandas">[docs]</a>
+<span class="k">def</span> <span class="nf">min_rating_filter_pandas</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
     <span class="n">filter_by</span><span class="o">=</span><span class="s2">&quot;user&quot;</span><span class="p">,</span>
@@ -411,7 +426,10 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="n">split_by_column</span><span class="p">)</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">&gt;=</span> <span class="n">min_rating</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="min_rating_filter_spark"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.min_rating_filter_spark">[docs]</a><span class="k">def</span> <span class="nf">min_rating_filter_spark</span><span class="p">(</span>
+
+<div class="viewcode-block" id="min_rating_filter_spark">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.min_rating_filter_spark">[docs]</a>
+<span class="k">def</span> <span class="nf">min_rating_filter_spark</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">min_rating</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
     <span class="n">filter_by</span><span class="o">=</span><span class="s2">&quot;user&quot;</span><span class="p">,</span>
@@ -454,6 +472,7 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">data</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_get_column_name</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">col_user</span><span class="p">,</span> <span class="n">col_item</span><span class="p">):</span>
     <span class="k">if</span> <span class="n">name</span> <span class="o">==</span> <span class="s2">&quot;user&quot;</span><span class="p">:</span>
         <span class="k">return</span> <span class="n">col_user</span>
@@ -463,7 +482,9 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;name should be either &#39;user&#39; or &#39;item&#39;.&quot;</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="split_pandas_data_with_ratios"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.split_pandas_data_with_ratios">[docs]</a><span class="k">def</span> <span class="nf">split_pandas_data_with_ratios</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratios</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<div class="viewcode-block" id="split_pandas_data_with_ratios">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.split_pandas_data_with_ratios">[docs]</a>
+<span class="k">def</span> <span class="nf">split_pandas_data_with_ratios</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ratios</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper function to split pandas DataFrame with given ratios</span>
 
 <span class="sd">    Note:</span>
@@ -495,7 +516,10 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">splits</span></div>
 
 
-<div class="viewcode-block" id="filter_k_core"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.filter_k_core">[docs]</a><span class="k">def</span> <span class="nf">filter_k_core</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">core_num</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="s2">&quot;userID&quot;</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="s2">&quot;itemID&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="filter_k_core">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.split_utils.filter_k_core">[docs]</a>
+<span class="k">def</span> <span class="nf">filter_k_core</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">core_num</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="s2">&quot;userID&quot;</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="s2">&quot;itemID&quot;</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Filter rating dataframe for minimum number of users and items by</span>
 <span class="sd">    repeatedly applying min_rating_filter until the condition is satisfied.</span>
 
@@ -525,6 +549,7 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
     <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Final: </span><span class="si">%d</span><span class="s2"> users and </span><span class="si">%d</span><span class="s2"> items&quot;</span><span class="p">,</span> <span class="n">num_users</span><span class="p">,</span> <span class="n">num_items</span><span class="p">)</span>
 
     <span class="k">return</span> <span class="n">df_inp</span></div>
+
 </pre></div>
 
                 </article>
@@ -565,7 +590,7 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -589,8 +614,8 @@ <h1>Source code for recommenders.datasets.split_utils</h1><div class="highlight"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/datasets/wikidata.html b/docs/_build/html/_modules/recommenders/datasets/wikidata.html
index 7b9e7bcbe..10a5d1e42 100644
--- a/docs/_build/html/_modules/recommenders/datasets/wikidata.html
+++ b/docs/_build/html/_modules/recommenders/datasets/wikidata.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
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+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
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+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/datasets/wikidata';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/datasets/wikidata.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
 <span class="n">SESSION</span> <span class="o">=</span> <span class="kc">None</span>
 
 
-<div class="viewcode-block" id="get_session"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.get_session">[docs]</a><span class="k">def</span> <span class="nf">get_session</span><span class="p">(</span><span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="get_session">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.get_session">[docs]</a>
+<span class="k">def</span> <span class="nf">get_session</span><span class="p">(</span><span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get session object</span>
 
 <span class="sd">    Args:</span>
@@ -362,7 +374,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="k">return</span> <span class="n">session</span></div>
 
 
-<div class="viewcode-block" id="find_wikidata_id"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.find_wikidata_id">[docs]</a><span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+
+<div class="viewcode-block" id="find_wikidata_id">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.find_wikidata_id">[docs]</a>
+<span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">find_wikidata_id</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">limit</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Find the entity ID in wikidata from a title string.</span>
 
@@ -415,7 +430,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="k">return</span> <span class="n">entity_id</span></div>
 
 
-<div class="viewcode-block" id="query_entity_links"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.query_entity_links">[docs]</a><span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+
+<div class="viewcode-block" id="query_entity_links">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.query_entity_links">[docs]</a>
+<span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">query_entity_links</span><span class="p">(</span><span class="n">entity_id</span><span class="p">,</span> <span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Query all linked pages from a wikidata entityID</span>
 
@@ -473,7 +491,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="k">return</span> <span class="n">data</span></div>
 
 
-<div class="viewcode-block" id="read_linked_entities"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.read_linked_entities">[docs]</a><span class="k">def</span> <span class="nf">read_linked_entities</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
+
+<div class="viewcode-block" id="read_linked_entities">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.read_linked_entities">[docs]</a>
+<span class="k">def</span> <span class="nf">read_linked_entities</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Obtain lists of liken entities (IDs and names) from dictionary</span>
 
 <span class="sd">    Args:</span>
@@ -494,7 +515,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="p">]</span></div>
 
 
-<div class="viewcode-block" id="query_entity_description"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.query_entity_description">[docs]</a><span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+
+<div class="viewcode-block" id="query_entity_description">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.query_entity_description">[docs]</a>
+<span class="nd">@retry</span><span class="p">(</span><span class="n">wait_random_min</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">wait_random_max</span><span class="o">=</span><span class="mi">5000</span><span class="p">,</span> <span class="n">stop_max_attempt_number</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">query_entity_description</span><span class="p">(</span><span class="n">entity_id</span><span class="p">,</span> <span class="n">session</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Query entity wikidata description from entityID</span>
 
@@ -534,7 +558,10 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
     <span class="k">return</span> <span class="n">description</span></div>
 
 
-<div class="viewcode-block" id="search_wikidata"><a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.search_wikidata">[docs]</a><span class="k">def</span> <span class="nf">search_wikidata</span><span class="p">(</span><span class="n">names</span><span class="p">,</span> <span class="n">extras</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">describe</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="search_wikidata">
+<a class="viewcode-back" href="../../../datasets.html#recommenders.datasets.wikidata.search_wikidata">[docs]</a>
+<span class="k">def</span> <span class="nf">search_wikidata</span><span class="p">(</span><span class="n">names</span><span class="p">,</span> <span class="n">extras</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">describe</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Create DataFrame of Wikidata search results</span>
 
 <span class="sd">    Args:</span>
@@ -576,6 +603,7 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
             <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
 
     <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">results</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -616,7 +644,7 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -640,8 +668,8 @@ <h1>Source code for recommenders.datasets.wikidata</h1><div class="highlight"><p
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/evaluation/python_evaluation.html b/docs/_build/html/_modules/recommenders/evaluation/python_evaluation.html
index 4f3776a7f..25fddd44c 100644
--- a/docs/_build/html/_modules/recommenders/evaluation/python_evaluation.html
+++ b/docs/_build/html/_modules/recommenders/evaluation/python_evaluation.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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@@ -167,7 +166,18 @@
   
   
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+ `);
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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@@ -360,7 +370,9 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="ColumnMismatchError"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ColumnMismatchError">[docs]</a><span class="k">class</span> <span class="nc">ColumnMismatchError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+<div class="viewcode-block" id="ColumnMismatchError">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ColumnMismatchError">[docs]</a>
+<span class="k">class</span> <span class="nc">ColumnMismatchError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised when there is a mismatch in columns.</span>
 
 <span class="sd">    This exception is raised when an operation involving columns</span>
@@ -373,7 +385,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">pass</span></div>
 
 
-<div class="viewcode-block" id="ColumnTypeMismatchError"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError">[docs]</a><span class="k">class</span> <span class="nc">ColumnTypeMismatchError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ColumnTypeMismatchError">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError">[docs]</a>
+<span class="k">class</span> <span class="nc">ColumnTypeMismatchError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised when there is a mismatch in column types.</span>
 
 <span class="sd">    This exception is raised when an operation involving column types</span>
@@ -386,6 +401,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">pass</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_check_column_dtypes</span><span class="p">(</span><span class="n">func</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Checks columns of DataFrame inputs</span>
 
@@ -451,7 +467,9 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">check_column_dtypes_wrapper</span>
 
 
-<div class="viewcode-block" id="merge_rating_true_pred"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.merge_rating_true_pred">[docs]</a><span class="nd">@_check_column_dtypes</span>
+<div class="viewcode-block" id="merge_rating_true_pred">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.merge_rating_true_pred">[docs]</a>
+<span class="nd">@_check_column_dtypes</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">merge_rating_true_pred</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
@@ -490,7 +508,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">rating_true_pred</span><span class="p">[</span><span class="n">col_rating</span><span class="p">],</span> <span class="n">rating_true_pred</span><span class="p">[</span><span class="n">col_prediction</span><span class="p">]</span></div>
 
 
-<div class="viewcode-block" id="rmse"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.rmse">[docs]</a><span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span>
+
+<div class="viewcode-block" id="rmse">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.rmse">[docs]</a>
+<span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span>
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@@ -523,7 +544,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="mae"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.mae">[docs]</a><span class="k">def</span> <span class="nf">mae</span><span class="p">(</span>
+
+<div class="viewcode-block" id="mae">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.mae">[docs]</a>
+<span class="k">def</span> <span class="nf">mae</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -556,7 +580,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">mean_absolute_error</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="rsquared"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.rsquared">[docs]</a><span class="k">def</span> <span class="nf">rsquared</span><span class="p">(</span>
+
+<div class="viewcode-block" id="rsquared">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.rsquared">[docs]</a>
+<span class="k">def</span> <span class="nf">rsquared</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -589,7 +616,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">r2_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="exp_var"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.exp_var">[docs]</a><span class="k">def</span> <span class="nf">exp_var</span><span class="p">(</span>
+
+<div class="viewcode-block" id="exp_var">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.exp_var">[docs]</a>
+<span class="k">def</span> <span class="nf">exp_var</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -622,7 +652,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">explained_variance_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="auc"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.auc">[docs]</a><span class="k">def</span> <span class="nf">auc</span><span class="p">(</span>
+
+<div class="viewcode-block" id="auc">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.auc">[docs]</a>
+<span class="k">def</span> <span class="nf">auc</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -665,7 +698,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">roc_auc_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="logloss"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.logloss">[docs]</a><span class="k">def</span> <span class="nf">logloss</span><span class="p">(</span>
+
+<div class="viewcode-block" id="logloss">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.logloss">[docs]</a>
+<span class="k">def</span> <span class="nf">logloss</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -702,7 +738,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">log_loss</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="merge_ranking_true_pred"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.merge_ranking_true_pred">[docs]</a><span class="nd">@_check_column_dtypes</span>
+
+<div class="viewcode-block" id="merge_ranking_true_pred">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.merge_ranking_true_pred">[docs]</a>
+<span class="nd">@_check_column_dtypes</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">merge_ranking_true_pred</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
@@ -773,7 +812,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_hit</span><span class="p">,</span> <span class="n">df_hit_count</span><span class="p">,</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="precision_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.precision_at_k">[docs]</a><span class="k">def</span> <span class="nf">precision_at_k</span><span class="p">(</span>
+
+<div class="viewcode-block" id="precision_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.precision_at_k">[docs]</a>
+<span class="k">def</span> <span class="nf">precision_at_k</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -824,7 +866,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="p">(</span><span class="n">df_hit_count</span><span class="p">[</span><span class="s2">&quot;hit&quot;</span><span class="p">]</span> <span class="o">/</span> <span class="n">k</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="recall_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.recall_at_k">[docs]</a><span class="k">def</span> <span class="nf">recall_at_k</span><span class="p">(</span>
+
+<div class="viewcode-block" id="recall_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.recall_at_k">[docs]</a>
+<span class="k">def</span> <span class="nf">recall_at_k</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -869,7 +914,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="p">(</span><span class="n">df_hit_count</span><span class="p">[</span><span class="s2">&quot;hit&quot;</span><span class="p">]</span> <span class="o">/</span> <span class="n">df_hit_count</span><span class="p">[</span><span class="s2">&quot;actual&quot;</span><span class="p">])</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="ndcg_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ndcg_at_k">[docs]</a><span class="k">def</span> <span class="nf">ndcg_at_k</span><span class="p">(</span>
+
+<div class="viewcode-block" id="ndcg_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.ndcg_at_k">[docs]</a>
+<span class="k">def</span> <span class="nf">ndcg_at_k</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -967,6 +1015,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_user</span><span class="p">[</span><span class="s2">&quot;ndcg&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span></div>
 
 
+
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">_get_reciprocal_rank</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
@@ -1002,7 +1051,9 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">df_hit_sorted</span><span class="p">,</span> <span class="n">df_hit_count</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="n">col_user</span><span class="p">),</span> <span class="n">n_users</span>
 
 
-<div class="viewcode-block" id="map"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.map">[docs]</a><span class="k">def</span> <span class="nf">map</span><span class="p">(</span>
+<div class="viewcode-block" id="map">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.map">[docs]</a>
+<span class="k">def</span> <span class="nf">map</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -1056,7 +1107,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
         <span class="k">return</span> <span class="p">(</span><span class="n">df_merge</span><span class="p">[</span><span class="s2">&quot;rr&quot;</span><span class="p">]</span> <span class="o">/</span> <span class="n">df_merge</span><span class="p">[</span><span class="s2">&quot;actual&quot;</span><span class="p">])</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="map_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.map_at_k">[docs]</a><span class="k">def</span> <span class="nf">map_at_k</span><span class="p">(</span>
+
+<div class="viewcode-block" id="map_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.map_at_k">[docs]</a>
+<span class="k">def</span> <span class="nf">map_at_k</span><span class="p">(</span>
     <span class="n">rating_true</span><span class="p">,</span>
     <span class="n">rating_pred</span><span class="p">,</span>
     <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -1105,7 +1159,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
         <span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">n_users</span></div>
 
 
-<div class="viewcode-block" id="get_top_k_items"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.get_top_k_items">[docs]</a><span class="k">def</span> <span class="nf">get_top_k_items</span><span class="p">(</span>
+
+<div class="viewcode-block" id="get_top_k_items">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.get_top_k_items">[docs]</a>
+<span class="k">def</span> <span class="nf">get_top_k_items</span><span class="p">(</span>
     <span class="n">dataframe</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="n">DEFAULT_RATING_COL</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="n">DEFAULT_K</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the input customer-item-rating tuple in the format of Pandas</span>
@@ -1142,6 +1199,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">top_k_items</span></div>
 
 
+
 <span class="sd">&quot;&quot;&quot;Function name and function mapper.</span>
 <span class="sd">Useful when we have to serialize evaluation metric names</span>
 <span class="sd">and call the functions based on deserialized names&quot;&quot;&quot;</span>
@@ -1512,7 +1570,9 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_intralist_similarity</span>
 
 
-<div class="viewcode-block" id="user_diversity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_diversity">[docs]</a><span class="nd">@_check_column_dtypes_diversity_serendipity</span>
+<div class="viewcode-block" id="user_diversity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_diversity">[docs]</a>
+<span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">user_diversity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
@@ -1573,7 +1633,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_user_diversity</span></div>
 
 
-<div class="viewcode-block" id="diversity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.diversity">[docs]</a><span class="nd">@_check_column_dtypes_diversity_serendipity</span>
+
+<div class="viewcode-block" id="diversity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.diversity">[docs]</a>
+<span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="k">def</span> <span class="nf">diversity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
     <span class="n">reco_df</span><span class="p">,</span>
@@ -1619,8 +1682,11 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">avg_diversity</span></div>
 
 
+
 <span class="c1"># Novelty metrics</span>
-<div class="viewcode-block" id="historical_item_novelty"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.historical_item_novelty">[docs]</a><span class="nd">@_check_column_dtypes_novelty_coverage</span>
+<div class="viewcode-block" id="historical_item_novelty">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.historical_item_novelty">[docs]</a>
+<span class="nd">@_check_column_dtypes_novelty_coverage</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">historical_item_novelty</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
@@ -1670,7 +1736,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_item_novelty</span></div>
 
 
-<div class="viewcode-block" id="novelty"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.novelty">[docs]</a><span class="nd">@_check_column_dtypes_novelty_coverage</span>
+
+<div class="viewcode-block" id="novelty">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.novelty">[docs]</a>
+<span class="nd">@_check_column_dtypes_novelty_coverage</span>
 <span class="k">def</span> <span class="nf">novelty</span><span class="p">(</span><span class="n">train_df</span><span class="p">,</span> <span class="n">reco_df</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate the average novelty in a list of recommended items (this assumes that the recommendation list</span>
 <span class="sd">    is already computed). Follows section 5 from</span>
@@ -1707,8 +1776,11 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">avg_novelty</span></div>
 
 
+
 <span class="c1"># Serendipity metrics</span>
-<div class="viewcode-block" id="user_item_serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_item_serendipity">[docs]</a><span class="nd">@_check_column_dtypes_diversity_serendipity</span>
+<div class="viewcode-block" id="user_item_serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_item_serendipity">[docs]</a>
+<span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="k">def</span> <span class="nf">user_item_serendipity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
@@ -1806,7 +1878,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_user_item_serendipity</span></div>
 
 
-<div class="viewcode-block" id="user_serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_serendipity">[docs]</a><span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+<div class="viewcode-block" id="user_serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.user_serendipity">[docs]</a>
+<span class="nd">@lru_cache_df</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="k">def</span> <span class="nf">user_serendipity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
@@ -1863,7 +1938,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">df_user_serendipity</span></div>
 
 
-<div class="viewcode-block" id="serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.serendipity">[docs]</a><span class="nd">@_check_column_dtypes_diversity_serendipity</span>
+
+<div class="viewcode-block" id="serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.serendipity">[docs]</a>
+<span class="nd">@_check_column_dtypes_diversity_serendipity</span>
 <span class="k">def</span> <span class="nf">serendipity</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span>
     <span class="n">reco_df</span><span class="p">,</span>
@@ -1910,8 +1988,11 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">avg_serendipity</span></div>
 
 
+
 <span class="c1"># Coverage metrics</span>
-<div class="viewcode-block" id="catalog_coverage"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.catalog_coverage">[docs]</a><span class="nd">@_check_column_dtypes_novelty_coverage</span>
+<div class="viewcode-block" id="catalog_coverage">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.catalog_coverage">[docs]</a>
+<span class="nd">@_check_column_dtypes_novelty_coverage</span>
 <span class="k">def</span> <span class="nf">catalog_coverage</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span> <span class="n">reco_df</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span>
 <span class="p">):</span>
@@ -1945,7 +2026,10 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="k">return</span> <span class="n">c_coverage</span></div>
 
 
-<div class="viewcode-block" id="distributional_coverage"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.distributional_coverage">[docs]</a><span class="nd">@_check_column_dtypes_novelty_coverage</span>
+
+<div class="viewcode-block" id="distributional_coverage">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.python_evaluation.distributional_coverage">[docs]</a>
+<span class="nd">@_check_column_dtypes_novelty_coverage</span>
 <span class="k">def</span> <span class="nf">distributional_coverage</span><span class="p">(</span>
     <span class="n">train_df</span><span class="p">,</span> <span class="n">reco_df</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="n">DEFAULT_ITEM_COL</span>
 <span class="p">):</span>
@@ -1984,6 +2068,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
     <span class="n">d_coverage</span> <span class="o">=</span> <span class="o">-</span><span class="n">df_entropy</span><span class="o">.</span><span class="n">agg</span><span class="p">({</span><span class="s2">&quot;entropy(i)&quot;</span><span class="p">:</span> <span class="s2">&quot;sum&quot;</span><span class="p">})[</span><span class="mi">0</span><span class="p">]</span>
 
     <span class="k">return</span> <span class="n">d_coverage</span></div>
+
 </pre></div>
 
                 </article>
@@ -2024,7 +2109,7 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -2048,8 +2133,8 @@ <h1>Source code for recommenders.evaluation.python_evaluation</h1><div class="hi
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/evaluation/spark_evaluation.html b/docs/_build/html/_modules/recommenders/evaluation/spark_evaluation.html
index 1e10dd9f2..70cfdf6d6 100644
--- a/docs/_build/html/_modules/recommenders/evaluation/spark_evaluation.html
+++ b/docs/_build/html/_modules/recommenders/evaluation/spark_evaluation.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
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-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/evaluation/spark_evaluation';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/evaluation/spark_evaluation.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -357,10 +367,14 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="SparkRatingEvaluation"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation">[docs]</a><span class="k">class</span> <span class="nc">SparkRatingEvaluation</span><span class="p">:</span>
+<div class="viewcode-block" id="SparkRatingEvaluation">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation">[docs]</a>
+<span class="k">class</span> <span class="nc">SparkRatingEvaluation</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Spark Rating Evaluator&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.__init__"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="SparkRatingEvaluation.__init__">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">rating_true</span><span class="p">,</span>
         <span class="n">rating_pred</span><span class="p">,</span>
@@ -451,7 +465,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="bp">self</span><span class="o">.</span><span class="n">y_pred_true</span><span class="o">.</span><span class="n">rdd</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">prediction</span><span class="p">,</span> <span class="n">x</span><span class="o">.</span><span class="n">label</span><span class="p">))</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.rmse"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse">[docs]</a>    <span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRatingEvaluation.rmse">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse">[docs]</a>
+    <span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate Root Mean Squared Error.</span>
 
 <span class="sd">        Returns:</span>
@@ -459,7 +476,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">rootMeanSquaredError</span></div>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.mae"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae">[docs]</a>    <span class="k">def</span> <span class="nf">mae</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRatingEvaluation.mae">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae">[docs]</a>
+    <span class="k">def</span> <span class="nf">mae</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate Mean Absolute Error.</span>
 
 <span class="sd">        Returns:</span>
@@ -467,7 +487,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">meanAbsoluteError</span></div>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.rsquared"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared">[docs]</a>    <span class="k">def</span> <span class="nf">rsquared</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRatingEvaluation.rsquared">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared">[docs]</a>
+    <span class="k">def</span> <span class="nf">rsquared</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate R squared.</span>
 
 <span class="sd">        Returns:</span>
@@ -475,7 +498,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">r2</span></div>
 
-<div class="viewcode-block" id="SparkRatingEvaluation.exp_var"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var">[docs]</a>    <span class="k">def</span> <span class="nf">exp_var</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRatingEvaluation.exp_var">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var">[docs]</a>
+    <span class="k">def</span> <span class="nf">exp_var</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate explained variance.</span>
 
 <span class="sd">        Note:</span>
@@ -491,13 +517,19 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="k">return</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span>
         <span class="k">else</span><span class="p">:</span>
             <span class="c1"># numpy divide is more tolerant to var2 being zero</span>
-            <span class="k">return</span> <span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">divide</span><span class="p">(</span><span class="n">var1</span><span class="p">,</span> <span class="n">var2</span><span class="p">)</span></div></div>
+            <span class="k">return</span> <span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">divide</span><span class="p">(</span><span class="n">var1</span><span class="p">,</span> <span class="n">var2</span><span class="p">)</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="SparkRankingEvaluation"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation">[docs]</a><span class="k">class</span> <span class="nc">SparkRankingEvaluation</span><span class="p">:</span>
+<div class="viewcode-block" id="SparkRankingEvaluation">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation">[docs]</a>
+<span class="k">class</span> <span class="nc">SparkRankingEvaluation</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Spark Ranking Evaluator&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.__init__"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="SparkRankingEvaluation.__init__">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">rating_true</span><span class="p">,</span>
         <span class="n">rating_pred</span><span class="p">,</span>
@@ -613,6 +645,7 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 
         <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_calculate_metrics</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_calculate_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate ranking metrics.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_items_for_user_pred</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rating_pred</span>
@@ -629,7 +662,9 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 
         <span class="k">return</span> <span class="n">RankingMetrics</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_items_for_user_all</span><span class="o">.</span><span class="n">rdd</span><span class="p">)</span>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.precision_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k">[docs]</a>    <span class="k">def</span> <span class="nf">precision_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkRankingEvaluation.precision_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k">[docs]</a>
+    <span class="k">def</span> <span class="nf">precision_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get precision@k.</span>
 
 <span class="sd">        Note:</span>
@@ -641,7 +676,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">precisionAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.recall_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k">[docs]</a>    <span class="k">def</span> <span class="nf">recall_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRankingEvaluation.recall_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k">[docs]</a>
+    <span class="k">def</span> <span class="nf">recall_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get recall@K.</span>
 
 <span class="sd">        Note:</span>
@@ -653,7 +691,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">recallAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.ndcg_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k">[docs]</a>    <span class="k">def</span> <span class="nf">ndcg_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRankingEvaluation.ndcg_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k">[docs]</a>
+    <span class="k">def</span> <span class="nf">ndcg_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get Normalized Discounted Cumulative Gain (NDCG)</span>
 
 <span class="sd">        Note:</span>
@@ -665,7 +706,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">ndcgAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.map"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map">[docs]</a>    <span class="k">def</span> <span class="nf">map</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRankingEvaluation.map">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map">[docs]</a>
+    <span class="k">def</span> <span class="nf">map</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get mean average precision.</span>
 
 <span class="sd">        Return:</span>
@@ -673,7 +717,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">meanAveragePrecision</span></div>
 
-<div class="viewcode-block" id="SparkRankingEvaluation.map_at_k"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k">[docs]</a>    <span class="k">def</span> <span class="nf">map_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkRankingEvaluation.map_at_k">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k">[docs]</a>
+    <span class="k">def</span> <span class="nf">map_at_k</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get mean average precision at k.</span>
 
 <span class="sd">        Note:</span>
@@ -682,7 +729,9 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 <span class="sd">        Return:</span>
 <span class="sd">            float: MAP at k (min=0, max=1).</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">meanAveragePrecisionAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metrics</span><span class="o">.</span><span class="n">meanAveragePrecisionAt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">k</span><span class="p">)</span></div>
+</div>
+
 
 
 <span class="k">def</span> <span class="nf">_get_top_k_items</span><span class="p">(</span>
@@ -813,10 +862,14 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
     <span class="k">return</span> <span class="n">items_for_user</span>
 
 
-<div class="viewcode-block" id="SparkDiversityEvaluation"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation">[docs]</a><span class="k">class</span> <span class="nc">SparkDiversityEvaluation</span><span class="p">:</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation">[docs]</a>
+<span class="k">class</span> <span class="nc">SparkDiversityEvaluation</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Spark Evaluator for diversity, coverage, novelty, serendipity&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.__init__"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.__init__">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train_df</span><span class="p">,</span>
         <span class="n">reco_df</span><span class="p">,</span>
@@ -933,6 +986,7 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
                 <span class="s2">&quot;reco_df should not contain any user_item pairs that are already shown in train_df&quot;</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_pairwise_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get pairwise combinations of items per user (ignoring duplicate pairs [1,2] == [2,1])&quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="p">(</span>
@@ -1057,7 +1111,9 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_intralist_similarity</span>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.user_diversity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity">[docs]</a>    <span class="k">def</span> <span class="nf">user_diversity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.user_diversity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity">[docs]</a>
+    <span class="k">def</span> <span class="nf">user_diversity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate average diversity of recommendations for each user.</span>
 <span class="sd">        The metric definition is based on formula (3) in the following reference:</span>
 
@@ -1080,7 +1136,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_user_diversity</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.diversity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity">[docs]</a>    <span class="k">def</span> <span class="nf">diversity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.diversity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity">[docs]</a>
+    <span class="k">def</span> <span class="nf">diversity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate average diversity of recommendations across all users.</span>
 
 <span class="sd">        Returns:</span>
@@ -1093,8 +1152,11 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span><span class="o">.</span><span class="n">first</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">avg_diversity</span></div>
 
+
     <span class="c1"># Novelty metrics</span>
-<div class="viewcode-block" id="SparkDiversityEvaluation.historical_item_novelty"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty">[docs]</a>    <span class="k">def</span> <span class="nf">historical_item_novelty</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.historical_item_novelty">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty">[docs]</a>
+    <span class="k">def</span> <span class="nf">historical_item_novelty</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate novelty for each item. Novelty is computed as the minus logarithm of</span>
 <span class="sd">        (number of interactions with item / total number of interactions). The definition of the metric</span>
 <span class="sd">        is based on the following reference using the choice model (eqs. 1 and 6):</span>
@@ -1124,7 +1186,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_item_novelty</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.novelty"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty">[docs]</a>    <span class="k">def</span> <span class="nf">novelty</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.novelty">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty">[docs]</a>
+    <span class="k">def</span> <span class="nf">novelty</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the average novelty in a list of recommended items (this assumes that the recommendation list</span>
 <span class="sd">        is already computed). Follows section 5 from</span>
 
@@ -1149,8 +1214,11 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">avg_novelty</span></div>
 
+
     <span class="c1"># Serendipity metrics</span>
-<div class="viewcode-block" id="SparkDiversityEvaluation.user_item_serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity">[docs]</a>    <span class="k">def</span> <span class="nf">user_item_serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.user_item_serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity">[docs]</a>
+    <span class="k">def</span> <span class="nf">user_item_serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate serendipity of each item in the recommendations for each user.</span>
 <span class="sd">        The metric definition is based on the following references:</span>
 
@@ -1208,7 +1276,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_user_item_serendipity</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.user_serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity">[docs]</a>    <span class="k">def</span> <span class="nf">user_serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.user_serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity">[docs]</a>
+    <span class="k">def</span> <span class="nf">user_serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate average serendipity for each user&#39;s recommendations.</span>
 
 <span class="sd">        Returns:</span>
@@ -1223,7 +1294,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">df_user_serendipity</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.serendipity"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity">[docs]</a>    <span class="k">def</span> <span class="nf">serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.serendipity">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity">[docs]</a>
+    <span class="k">def</span> <span class="nf">serendipity</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate average serendipity for recommendations across all users.</span>
 
 <span class="sd">        Returns:</span>
@@ -1236,8 +1310,11 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
             <span class="p">)</span><span class="o">.</span><span class="n">first</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">avg_serendipity</span></div>
 
+
     <span class="c1"># Coverage metrics</span>
-<div class="viewcode-block" id="SparkDiversityEvaluation.catalog_coverage"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage">[docs]</a>    <span class="k">def</span> <span class="nf">catalog_coverage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="SparkDiversityEvaluation.catalog_coverage">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage">[docs]</a>
+    <span class="k">def</span> <span class="nf">catalog_coverage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate catalog coverage for recommendations across all users.</span>
 <span class="sd">        The metric definition is based on the &quot;catalog coverage&quot; definition in the following reference:</span>
 
@@ -1260,7 +1337,10 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
         <span class="n">c_coverage</span> <span class="o">=</span> <span class="n">count_distinct_item_reco</span> <span class="o">/</span> <span class="n">count_distinct_item_train</span>
         <span class="k">return</span> <span class="n">c_coverage</span></div>
 
-<div class="viewcode-block" id="SparkDiversityEvaluation.distributional_coverage"><a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage">[docs]</a>    <span class="k">def</span> <span class="nf">distributional_coverage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SparkDiversityEvaluation.distributional_coverage">
+<a class="viewcode-back" href="../../../evaluation.html#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage">[docs]</a>
+    <span class="k">def</span> <span class="nf">distributional_coverage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate distributional coverage for recommendations across all users.</span>
 <span class="sd">        The metric definition is based on formula (21) in the following reference:</span>
 
@@ -1283,7 +1363,9 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
         <span class="c1"># distributional coverage</span>
         <span class="n">d_coverage</span> <span class="o">=</span> <span class="o">-</span><span class="n">df_entropy</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">F</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="s2">&quot;entropy(i)&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">collect</span><span class="p">()[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
 
-        <span class="k">return</span> <span class="n">d_coverage</span></div></div>
+        <span class="k">return</span> <span class="n">d_coverage</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -1324,7 +1406,7 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1348,8 +1430,8 @@ <h1>Source code for recommenders.evaluation.spark_evaluation</h1><div class="hig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/cornac/cornac_utils.html b/docs/_build/html/_modules/recommenders/models/cornac/cornac_utils.html
index 1152019bb..b372be327 100644
--- a/docs/_build/html/_modules/recommenders/models/cornac/cornac_utils.html
+++ b/docs/_build/html/_modules/recommenders/models/cornac/cornac_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
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+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
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@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.cornac.cornac_utils.predict">[docs]</a><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span>
+<div class="viewcode-block" id="predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.cornac.cornac_utils.predict">[docs]</a>
+<span class="k">def</span> <span class="nf">predict</span><span class="p">(</span>
     <span class="n">model</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">usercol</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -375,7 +387,10 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
     <span class="k">return</span> <span class="n">predictions</span></div>
 
 
-<div class="viewcode-block" id="predict_ranking"><a class="viewcode-back" href="../../../../models.html#recommenders.models.cornac.cornac_utils.predict_ranking">[docs]</a><span class="k">def</span> <span class="nf">predict_ranking</span><span class="p">(</span>
+
+<div class="viewcode-block" id="predict_ranking">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.cornac.cornac_utils.predict_ranking">[docs]</a>
+<span class="k">def</span> <span class="nf">predict_ranking</span><span class="p">(</span>
     <span class="n">model</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">usercol</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -422,6 +437,7 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
         <span class="k">return</span> <span class="n">merged</span><span class="p">[</span><span class="n">merged</span><span class="p">[</span><span class="s2">&quot;dummycol&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">isnull</span><span class="p">()]</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;dummycol&quot;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="k">return</span> <span class="n">all_predictions</span></div>
+
 </pre></div>
 
                 </article>
@@ -462,7 +478,7 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -486,8 +502,8 @@ <h1>Source code for recommenders.models.cornac.cornac_utils</h1><div class="high
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html b/docs/_build/html/_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html
index 83f744d6e..1eef829b8 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/DataModel/ImplicitCF';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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@@ -120,13 +122,10 @@
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 </form></div>
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+ `);
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     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,14 +352,18 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="ImplicitCF"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF">[docs]</a><span class="k">class</span> <span class="nc">ImplicitCF</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="ImplicitCF">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF">[docs]</a>
+<span class="k">class</span> <span class="nc">ImplicitCF</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Data processing class for GCN models which use implicit feedback.</span>
 
 <span class="sd">    Initialize train and test set, create normalized adjacency matrix and sample data for training epochs.</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="ImplicitCF.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="ImplicitCF.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train</span><span class="p">,</span>
         <span class="n">test</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -386,6 +400,7 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
 
         <span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_data_processing</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train</span><span class="p">,</span> <span class="n">test</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Process the dataset to reindex userID and itemID and only keep records with ratings greater than 0.</span>
 
@@ -472,7 +487,9 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
         <span class="bp">self</span><span class="o">.</span><span class="n">R</span> <span class="o">=</span> <span class="n">sp</span><span class="o">.</span><span class="n">dok_matrix</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">n_users</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_items</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">R</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_user</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_item</span><span class="p">]]</span> <span class="o">=</span> <span class="mf">1.0</span>
 
-<div class="viewcode-block" id="ImplicitCF.get_norm_adj_mat"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat">[docs]</a>    <span class="k">def</span> <span class="nf">get_norm_adj_mat</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="ImplicitCF.get_norm_adj_mat">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_norm_adj_mat</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load normalized adjacency matrix if it exists, otherwise create (and save) it.</span>
 
 <span class="sd">        Returns:</span>
@@ -491,7 +508,10 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
                 <span class="n">sp</span><span class="o">.</span><span class="n">save_npz</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">adj_dir</span> <span class="o">+</span> <span class="s2">&quot;/norm_adj_mat.npz&quot;</span><span class="p">,</span> <span class="n">norm_adj_mat</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">norm_adj_mat</span></div>
 
-<div class="viewcode-block" id="ImplicitCF.create_norm_adj_mat"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat">[docs]</a>    <span class="k">def</span> <span class="nf">create_norm_adj_mat</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ImplicitCF.create_norm_adj_mat">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat">[docs]</a>
+    <span class="k">def</span> <span class="nf">create_norm_adj_mat</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Create normalized adjacency matrix.</span>
 
 <span class="sd">        Returns:</span>
@@ -519,7 +539,10 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
 
         <span class="k">return</span> <span class="n">norm_adj_mat</span><span class="o">.</span><span class="n">tocsr</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="ImplicitCF.train_loader"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader">[docs]</a>    <span class="k">def</span> <span class="nf">train_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ImplicitCF.train_loader">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader">[docs]</a>
+    <span class="k">def</span> <span class="nf">train_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Sample train data every batch. One positive item and one negative item sampled for each user.</span>
 
 <span class="sd">        Args:</span>
@@ -552,7 +575,9 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
             <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">sample_neg</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
         <span class="p">)</span>
 
-        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">users</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">pos_items</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">neg_items</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">users</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">pos_items</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">neg_items</span><span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -593,7 +618,7 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -617,8 +642,8 @@ <h1>Source code for recommenders.models.deeprec.DataModel.ImplicitCF</h1><div cl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/deeprec_utils.html b/docs/_build/html/_modules/recommenders/models/deeprec/deeprec_utils.html
index 74d8553a9..be1017e4d 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/deeprec_utils.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/deeprec_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
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-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/deeprec_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/deeprec_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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 </form></div>
   </div>
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+    </header>
   
-  </header>
 
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 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -346,7 +356,9 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
 <span class="kn">from</span> <span class="nn">recommenders.datasets.download_utils</span> <span class="kn">import</span> <span class="n">maybe_download</span>
 
 
-<div class="viewcode-block" id="flat_config"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.flat_config">[docs]</a><span class="k">def</span> <span class="nf">flat_config</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
+<div class="viewcode-block" id="flat_config">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.flat_config">[docs]</a>
+<span class="k">def</span> <span class="nf">flat_config</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Flat config loaded from a yaml file to a flat dict.</span>
 
 <span class="sd">    Args:</span>
@@ -363,7 +375,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">f_config</span></div>
 
 
-<div class="viewcode-block" id="check_type"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.check_type">[docs]</a><span class="k">def</span> <span class="nf">check_type</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
+
+<div class="viewcode-block" id="check_type">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.check_type">[docs]</a>
+<span class="k">def</span> <span class="nf">check_type</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check that the config parameters are the correct type</span>
 
 <span class="sd">    Args:</span>
@@ -459,7 +474,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
             <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Parameters </span><span class="si">{0}</span><span class="s2"> must be list&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">param</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="check_nn_config"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.check_nn_config">[docs]</a><span class="k">def</span> <span class="nf">check_nn_config</span><span class="p">(</span><span class="n">f_config</span><span class="p">):</span>
+
+<div class="viewcode-block" id="check_nn_config">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.check_nn_config">[docs]</a>
+<span class="k">def</span> <span class="nf">check_nn_config</span><span class="p">(</span><span class="n">f_config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check neural networks configuration.</span>
 
 <span class="sd">    Args:</span>
@@ -611,7 +629,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="n">check_type</span><span class="p">(</span><span class="n">f_config</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="load_yaml"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.load_yaml">[docs]</a><span class="k">def</span> <span class="nf">load_yaml</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="load_yaml">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.load_yaml">[docs]</a>
+<span class="k">def</span> <span class="nf">load_yaml</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Load a yaml file.</span>
 
 <span class="sd">    Args:</span>
@@ -630,10 +651,15 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
         <span class="k">raise</span> <span class="ne">IOError</span><span class="p">(</span><span class="s2">&quot;load </span><span class="si">{0}</span><span class="s2"> error!&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">filename</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="HParams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams">[docs]</a><span class="k">class</span> <span class="nc">HParams</span><span class="p">:</span>
+
+<div class="viewcode-block" id="HParams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams">[docs]</a>
+<span class="k">class</span> <span class="nc">HParams</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Class for holding hyperparameters for DeepRec algorithms.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="HParams.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="HParams.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Create an HParams object from a dictionary of hyperparameter values.</span>
 
 <span class="sd">        Args:</span>
@@ -655,19 +681,29 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
         <span class="k">for</span> <span class="n">hparam</span> <span class="ow">in</span> <span class="n">hparams_dict</span><span class="p">:</span>
             <span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparam</span><span class="p">,</span> <span class="n">hparams_dict</span><span class="p">[</span><span class="n">hparam</span><span class="p">])</span></div>
 
-<div class="viewcode-block" id="HParams.__repr__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.__repr__">[docs]</a>    <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="HParams.__repr__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.__repr__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="s2">&quot;HParams object with values </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_values</span><span class="o">.</span><span class="fm">__repr__</span><span class="p">())</span></div>
 
-<div class="viewcode-block" id="HParams.values"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.values">[docs]</a>    <span class="k">def</span> <span class="nf">values</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="HParams.values">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.HParams.values">[docs]</a>
+    <span class="k">def</span> <span class="nf">values</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the hyperparameter values as a dictionary.</span>
 
 <span class="sd">        Returns:</span>
 <span class="sd">            dict: Dictionary with the hyperparameter values.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_values</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_values</span></div>
+</div>
 
 
-<div class="viewcode-block" id="create_hparams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.create_hparams">[docs]</a><span class="k">def</span> <span class="nf">create_hparams</span><span class="p">(</span><span class="n">flags</span><span class="p">):</span>
+
+<div class="viewcode-block" id="create_hparams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.create_hparams">[docs]</a>
+<span class="k">def</span> <span class="nf">create_hparams</span><span class="p">(</span><span class="n">flags</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Create the model hyperparameters.</span>
 
 <span class="sd">    Args:</span>
@@ -732,7 +768,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">HParams</span><span class="p">(</span><span class="n">init_dict</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="prepare_hparams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.prepare_hparams">[docs]</a><span class="k">def</span> <span class="nf">prepare_hparams</span><span class="p">(</span><span class="n">yaml_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="prepare_hparams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.prepare_hparams">[docs]</a>
+<span class="k">def</span> <span class="nf">prepare_hparams</span><span class="p">(</span><span class="n">yaml_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Prepare the model hyperparameters and check that all have the correct value.</span>
 
 <span class="sd">    Args:</span>
@@ -755,7 +794,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">create_hparams</span><span class="p">(</span><span class="n">config</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="download_deeprec_resources"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources">[docs]</a><span class="k">def</span> <span class="nf">download_deeprec_resources</span><span class="p">(</span><span class="n">azure_container_url</span><span class="p">,</span> <span class="n">data_path</span><span class="p">,</span> <span class="n">remote_resource_name</span><span class="p">):</span>
+
+<div class="viewcode-block" id="download_deeprec_resources">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources">[docs]</a>
+<span class="k">def</span> <span class="nf">download_deeprec_resources</span><span class="p">(</span><span class="n">azure_container_url</span><span class="p">,</span> <span class="n">data_path</span><span class="p">,</span> <span class="n">remote_resource_name</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Download resources.</span>
 
 <span class="sd">    Args:</span>
@@ -772,7 +814,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="n">remote_resource_name</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="mrr_score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.mrr_score">[docs]</a><span class="k">def</span> <span class="nf">mrr_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">):</span>
+
+<div class="viewcode-block" id="mrr_score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.mrr_score">[docs]</a>
+<span class="k">def</span> <span class="nf">mrr_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Computing mrr score metric.</span>
 
 <span class="sd">    Args:</span>
@@ -788,7 +833,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">rr_score</span><span class="p">)</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">y_true</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="ndcg_score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.ndcg_score">[docs]</a><span class="k">def</span> <span class="nf">ndcg_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ndcg_score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.ndcg_score">[docs]</a>
+<span class="k">def</span> <span class="nf">ndcg_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Computing ndcg score metric at k.</span>
 
 <span class="sd">    Args:</span>
@@ -803,7 +851,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">actual</span> <span class="o">/</span> <span class="n">best</span></div>
 
 
-<div class="viewcode-block" id="hit_score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.hit_score">[docs]</a><span class="k">def</span> <span class="nf">hit_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="hit_score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.hit_score">[docs]</a>
+<span class="k">def</span> <span class="nf">hit_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Computing hit score metric at k.</span>
 
 <span class="sd">    Args:</span>
@@ -821,7 +872,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="mi">0</span></div>
 
 
-<div class="viewcode-block" id="dcg_score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.dcg_score">[docs]</a><span class="k">def</span> <span class="nf">dcg_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="dcg_score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.dcg_score">[docs]</a>
+<span class="k">def</span> <span class="nf">dcg_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_score</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Computing dcg score metric at k.</span>
 
 <span class="sd">    Args:</span>
@@ -839,7 +893,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">gains</span> <span class="o">/</span> <span class="n">discounts</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="cal_metric"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.cal_metric">[docs]</a><span class="k">def</span> <span class="nf">cal_metric</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">metrics</span><span class="p">):</span>
+
+<div class="viewcode-block" id="cal_metric">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.cal_metric">[docs]</a>
+<span class="k">def</span> <span class="nf">cal_metric</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">metrics</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate metrics.</span>
 
 <span class="sd">    Available options are: `auc`, `rmse`, `logloss`, `acc` (accurary), `f1`, `mean_mrr`,</span>
@@ -930,7 +987,10 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">res</span></div>
 
 
-<div class="viewcode-block" id="load_dict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.load_dict">[docs]</a><span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="load_dict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.deeprec.deeprec_utils.load_dict">[docs]</a>
+<span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Load the vocabularies.</span>
 
 <span class="sd">    Args:</span>
@@ -942,6 +1002,7 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
     <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="s2">&quot;rb&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
         <span class="n">f_pkl</span> <span class="o">=</span> <span class="n">pkl</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">f_pkl</span></div>
+
 </pre></div>
 
                 </article>
@@ -982,7 +1043,7 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1006,8 +1067,8 @@ <h1>Source code for recommenders.models.deeprec.deeprec_utils</h1><div class="hi
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html b/docs/_build/html/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html
index a9acf16fc..0e0d1f5f5 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html
@@ -1,9 +1,8 @@
 
-
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+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
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+    <script src="../../../../../_static/tabs.js?v=3ee01567"></script>
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-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
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+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/io/dkn_item2item_iterator';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
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+        <div class="sidebar-primary-item">
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@@ -334,8 +344,12 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
 <span class="kn">from</span> <span class="nn">recommenders.models.deeprec.io.dkn_iterator</span> <span class="kn">import</span> <span class="n">DKNTextIterator</span>
 
 
-<div class="viewcode-block" id="DKNItem2itemTextIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator">[docs]</a><span class="k">class</span> <span class="nc">DKNItem2itemTextIterator</span><span class="p">(</span><span class="n">DKNTextIterator</span><span class="p">):</span>
-<div class="viewcode-block" id="DKNItem2itemTextIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2itemTextIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">DKNItem2itemTextIterator</span><span class="p">(</span><span class="n">DKNTextIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2itemTextIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;This new iterator is for DKN&#39;s item-to-item recommendations version.</span>
 <span class="sd">        The tutorial can be found `on this notebook &lt;https://github.com/microsoft/recommenders/blob/main/examples/07_tutorials/KDD2020-tutorial/step4_run_dkn_item2item.ipynb&gt;`_.</span>
 
@@ -363,6 +377,7 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
 
         <span class="bp">self</span><span class="o">.</span><span class="n">_loading_nessary_files</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_loading_nessary_files</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Only one feature file is needed:  `news_feature_file`.</span>
 <span class="sd">        This function loads the news article&#39;s features into two dictionaries: `self.news_word_index` and `self.news_entity_index`.</span>
@@ -383,7 +398,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
                     <span class="nb">int</span><span class="p">(</span><span class="n">item</span><span class="p">)</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">entity_index</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;,&quot;</span><span class="p">)</span>
                 <span class="p">]</span>
 
-<div class="viewcode-block" id="DKNItem2itemTextIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2itemTextIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;This function will return a mini-batch of data with features,</span>
 <span class="sd">        by looking up `news_word_index` dictionary and `news_entity_index` dictionary according to the news article&#39;s ID.</span>
 
@@ -442,7 +459,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
                     <span class="n">candidate_news_index_batch</span><span class="p">,</span>
                     <span class="n">candidate_news_entity_index_batch</span><span class="p">,</span>
                 <span class="p">)</span>
-                <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_infer_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">newsid_list</span><span class="p">,</span> <span class="n">data_size</span></div></div>
+                <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_infer_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">newsid_list</span><span class="p">,</span> <span class="n">data_size</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -483,7 +502,7 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -507,8 +526,8 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_item2item_iterator</h1><d
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/io/dkn_iterator.html b/docs/_build/html/_modules/recommenders/models/deeprec/io/dkn_iterator.html
index df07fdc99..3bd3e1544 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/io/dkn_iterator.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/io/dkn_iterator.html
@@ -1,9 +1,8 @@
 
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-<html lang="en" data-content_root="" >
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-    <script src="../../../../../_static/togglebutton.js"></script>
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+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/io/dkn_iterator';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/io/dkn_iterator.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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@@ -338,7 +348,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;DKNTextIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="DKNTextIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator">[docs]</a><span class="k">class</span> <span class="nc">DKNTextIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNTextIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">DKNTextIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Data loader for the DKN model.</span>
 <span class="sd">    DKN requires a special type of data format, where each instance contains a label, the candidate news article,</span>
 <span class="sd">    and user&#39;s clicked news article. Articles are represented by title words and title entities. Words and entities</span>
@@ -348,7 +360,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
 <span class="sd">    per mini-batch, so that large files can be used as input data.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="DKNTextIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot; &quot;</span><span class="p">,</span> <span class="n">ID_spliter</span><span class="o">=</span><span class="s2">&quot;%&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNTextIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot; &quot;</span><span class="p">,</span> <span class="n">ID_spliter</span><span class="o">=</span><span class="s2">&quot;%&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize an iterator. Create necessary placeholders for the model.</span>
 
 <span class="sd">        Args:</span>
@@ -416,7 +430,10 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
                     <span class="n">click_news_entity_index</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">doc_size</span><span class="p">))</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">user_history</span><span class="p">[</span><span class="n">userid</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">click_news_index</span><span class="p">,</span> <span class="n">click_news_entity_index</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="DKNTextIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNTextIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one string line into feature values.</span>
 
 <span class="sd">        Args:</span>
@@ -452,7 +469,10 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
             <span class="n">impression_id</span><span class="p">,</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="DKNTextIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNTextIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file.</span>
 
 <span class="sd">        Args:</span>
@@ -537,7 +557,10 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
                 <span class="p">)</span>
                 <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">impression_id_list</span><span class="p">,</span> <span class="n">data_size</span></div>
 
-<div class="viewcode-block" id="DKNTextIterator.load_infer_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_infer_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNTextIterator.load_infer_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_infer_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file for infer document embedding.</span>
 
 <span class="sd">        Args:</span>
@@ -594,6 +617,7 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
                 <span class="p">)</span>
                 <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_infer_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">newsid_list</span><span class="p">,</span> <span class="n">data_size</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -653,7 +677,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
         <span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span>
 
-<div class="viewcode-block" id="DKNTextIterator.gen_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict">[docs]</a>    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNTextIterator.gen_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
@@ -680,7 +706,10 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
         <span class="p">}</span>
         <span class="k">return</span> <span class="n">feed_dict</span></div>
 
-<div class="viewcode-block" id="DKNTextIterator.gen_infer_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict">[docs]</a>    <span class="k">def</span> <span class="nf">gen_infer_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNTextIterator.gen_infer_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_infer_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
@@ -698,7 +727,9 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
                 <span class="s2">&quot;candidate_news_entity_index_batch&quot;</span>
             <span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">([</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">doc_size</span><span class="p">]),</span>
         <span class="p">}</span>
-        <span class="k">return</span> <span class="n">feed_dict</span></div></div>
+        <span class="k">return</span> <span class="n">feed_dict</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -739,7 +770,7 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -763,8 +794,8 @@ <h1>Source code for recommenders.models.deeprec.io.dkn_iterator</h1><div class="
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/io/iterator.html b/docs/_build/html/_modules/recommenders/models/deeprec/io/iterator.html
index 4e94f6a7c..1df9b362a 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/io/iterator.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/io/iterator.html
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -334,10 +344,14 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 <span class="kn">import</span> <span class="nn">abc</span>
 
 
-<div class="viewcode-block" id="BaseIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator">[docs]</a><span class="k">class</span> <span class="nc">BaseIterator</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="BaseIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseIterator</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Abstract base iterator class&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="BaseIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line">[docs]</a>    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
+<div class="viewcode-block" id="BaseIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line">[docs]</a>
+    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Abstract method. Parse one string line into feature values.</span>
 
@@ -346,7 +360,10 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">pass</span></div>
 
-<div class="viewcode-block" id="BaseIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file">[docs]</a>    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
+
+<div class="viewcode-block" id="BaseIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file">[docs]</a>
+    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Abstract method. Read and parse data from a file.</span>
 
@@ -355,27 +372,36 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">pass</span></div>
 
+
     <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
         <span class="k">pass</span>
 
-<div class="viewcode-block" id="BaseIterator.gen_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict">[docs]</a>    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
+<div class="viewcode-block" id="BaseIterator.gen_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict">[docs]</a>
+    <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Abstract method. Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
 <span class="sd">            data_dict (dict): A dictionary that maps string name to numpy arrays.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">pass</span></div></div>
+        <span class="k">pass</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="FFMTextIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator">[docs]</a><span class="k">class</span> <span class="nc">FFMTextIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="FFMTextIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">FFMTextIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Data loader for FFM format based models, such as xDeepFM.</span>
 <span class="sd">    Iterator will not load the whole data into memory. Instead, it loads data into memory</span>
 <span class="sd">    per mini-batch, so that large files can be used as input data.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="FFMTextIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot; &quot;</span><span class="p">,</span> <span class="n">ID_spliter</span><span class="o">=</span><span class="s2">&quot;%&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="FFMTextIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot; &quot;</span><span class="p">,</span> <span class="n">ID_spliter</span><span class="o">=</span><span class="s2">&quot;%&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize an iterator. Create the necessary placeholders for the model.</span>
 
 <span class="sd">        Args:</span>
@@ -415,7 +441,10 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
                 <span class="n">tf</span><span class="o">.</span><span class="n">int64</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;dnn_feat_shape&quot;</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="FFMTextIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="FFMTextIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one string line into feature values.</span>
 
 <span class="sd">        Args:</span>
@@ -443,7 +472,10 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 
         <span class="k">return</span> <span class="n">label</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">impression_id</span></div>
 
-<div class="viewcode-block" id="FFMTextIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
+
+<div class="viewcode-block" id="FFMTextIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file.</span>
 
 <span class="sd">        Args:</span>
@@ -477,6 +509,7 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
                 <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_convert_data</span><span class="p">(</span><span class="n">label_list</span><span class="p">,</span> <span class="n">features_list</span><span class="p">)</span>
                 <span class="k">yield</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">impression_id_list</span><span class="p">,</span> <span class="n">cnt</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert data into numpy arrays that are good for further operation.</span>
 
@@ -546,7 +579,9 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
         <span class="n">res</span><span class="p">[</span><span class="s2">&quot;dnn_feat_shape&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">dnn_feat_shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span>
 
-<div class="viewcode-block" id="FFMTextIterator.gen_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict">[docs]</a>    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="FFMTextIterator.gen_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
@@ -566,7 +601,9 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
             <span class="bp">self</span><span class="o">.</span><span class="n">dnn_feat_weights</span><span class="p">:</span> <span class="n">data_dict</span><span class="p">[</span><span class="s2">&quot;dnn_feat_weights&quot;</span><span class="p">],</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">dnn_feat_shape</span><span class="p">:</span> <span class="n">data_dict</span><span class="p">[</span><span class="s2">&quot;dnn_feat_shape&quot;</span><span class="p">],</span>
         <span class="p">}</span>
-        <span class="k">return</span> <span class="n">feed_dict</span></div></div>
+        <span class="k">return</span> <span class="n">feed_dict</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -607,7 +644,7 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -631,8 +668,8 @@ <h1>Source code for recommenders.models.deeprec.io.iterator</h1><div class="high
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/io/nextitnet_iterator.html b/docs/_build/html/_modules/recommenders/models/deeprec/io/nextitnet_iterator.html
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@@ -1,9 +1,8 @@
 
-
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NextItNetIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NextItNetIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator">[docs]</a><span class="k">class</span> <span class="nc">NextItNetIterator</span><span class="p">(</span><span class="n">SequentialIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="NextItNetIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">NextItNetIterator</span><span class="p">(</span><span class="n">SequentialIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Data loader for the NextItNet model.</span>
 
 <span class="sd">    NextItNet requires a special type of data format. In training stage, each instance will</span>
@@ -348,7 +360,9 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
 <span class="sd">    output predictions of every item in a sequence except only of the last item.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NextItNetIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="NextItNetIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize an iterator. Create necessary placeholders for the model.</span>
 <span class="sd">        Different from sequential iterator</span>
 
@@ -397,6 +411,7 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
                 <span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_seq_length</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;time_to_now&quot;</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -594,6 +609,7 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
             <span class="n">res</span><span class="p">[</span><span class="s2">&quot;time_from_first_action&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">time_from_first_action_batch</span>
             <span class="n">res</span><span class="p">[</span><span class="s2">&quot;time_to_now&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">time_to_now_batch</span>
             <span class="k">return</span> <span class="n">res</span></div>
+
 </pre></div>
 
                 </article>
@@ -634,7 +650,7 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -658,8 +674,8 @@ <h1>Source code for recommenders.models.deeprec.io.nextitnet_iterator</h1><div c
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/io/sequential_iterator.html b/docs/_build/html/_modules/recommenders/models/deeprec/io/sequential_iterator.html
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@@ -340,8 +350,12 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;SequentialIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="SequentialIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator">[docs]</a><span class="k">class</span> <span class="nc">SequentialIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
-<div class="viewcode-block" id="SequentialIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">SequentialIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">graph</span><span class="p">,</span> <span class="n">col_spliter</span><span class="o">=</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize an iterator. Create necessary placeholders for the model.</span>
 
 <span class="sd">        Args:</span>
@@ -391,7 +405,10 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
                 <span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_seq_length</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;time_to_now&quot;</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SequentialIterator.parse_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file">[docs]</a>    <span class="k">def</span> <span class="nf">parse_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SequentialIterator.parse_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">parse_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse the file to A list ready to be used for downstream tasks.</span>
 
 <span class="sd">        Args:</span>
@@ -409,7 +426,10 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="n">res</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">parser_one_line</span><span class="p">(</span><span class="n">line</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">res</span></div>
 
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+
+<div class="viewcode-block" id="SequentialIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one string line into feature values.</span>
 
 <span class="sd">        Args:</span>
@@ -492,7 +512,10 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="n">time_to_now</span><span class="p">,</span>
         <span class="p">)</span></div>
 
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+
+<div class="viewcode-block" id="SequentialIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile</span><span class="p">,</span> <span class="n">batch_num_ngs</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">min_seq_length</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file.</span>
 
 <span class="sd">        Args:</span>
@@ -602,6 +625,7 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="n">batch_input</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gen_feed_dict</span><span class="p">(</span><span class="n">res</span><span class="p">)</span>
             <span class="k">yield</span> <span class="n">batch_input</span> <span class="k">if</span> <span class="n">batch_input</span> <span class="k">else</span> <span class="kc">None</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -776,7 +800,9 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="n">res</span><span class="p">[</span><span class="s2">&quot;time_to_now&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">time_to_now_batch</span>
             <span class="k">return</span> <span class="n">res</span>
 
-<div class="viewcode-block" id="SequentialIterator.gen_feed_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict">[docs]</a>    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialIterator.gen_feed_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">gen_feed_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Construct a dictionary that maps graph elements to values.</span>
 
 <span class="sd">        Args:</span>
@@ -801,7 +827,9 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
             <span class="bp">self</span><span class="o">.</span><span class="n">time_from_first_action</span><span class="p">:</span> <span class="n">data_dict</span><span class="p">[</span><span class="s2">&quot;time_from_first_action&quot;</span><span class="p">],</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">time_to_now</span><span class="p">:</span> <span class="n">data_dict</span><span class="p">[</span><span class="s2">&quot;time_to_now&quot;</span><span class="p">],</span>
         <span class="p">}</span>
-        <span class="k">return</span> <span class="n">feed_dict</span></div></div>
+        <span class="k">return</span> <span class="n">feed_dict</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -842,7 +870,7 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -866,8 +894,8 @@ <h1>Source code for recommenders.models.deeprec.io.sequential_iterator</h1><div
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/base_model.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/base_model.html
index b16c873ab..2ae89da8a 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/base_model.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/base_model.html
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+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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 </form></div>
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,10 +352,14 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;BaseModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="BaseModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel">[docs]</a><span class="k">class</span> <span class="nc">BaseModel</span><span class="p">:</span>
+<div class="viewcode-block" id="BaseModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseModel</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Base class for models&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="BaseModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="BaseModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initializing the model. Create common logics which are needed by all deeprec models, such as loss function,</span>
 <span class="sd">        parameter set.</span>
 
@@ -400,6 +414,7 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">init_op</span><span class="p">)</span></div>
 
+
     <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">_build_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Subclass will implement this.&quot;&quot;&quot;</span>
@@ -692,7 +707,9 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">logit</span><span class="p">,</span> <span class="n">rate</span><span class="o">=</span><span class="mi">1</span> <span class="o">-</span> <span class="p">(</span><span class="n">keep_prob</span><span class="p">))</span>
 
-<div class="viewcode-block" id="BaseModel.train"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.train">[docs]</a>    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="BaseModel.train">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Go through the optimization step once with training data in `feed_dict`.</span>
 
 <span class="sd">        Args:</span>
@@ -715,7 +732,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
             <span class="n">feed_dict</span><span class="o">=</span><span class="n">feed_dict</span><span class="p">,</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="BaseModel.eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.eval">[docs]</a>    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the data in `feed_dict` with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -729,7 +749,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
         <span class="n">feed_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">is_train_stage</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
         <span class="k">return</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">pred</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">iterator</span><span class="o">.</span><span class="n">labels</span><span class="p">],</span> <span class="n">feed_dict</span><span class="o">=</span><span class="n">feed_dict</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="BaseModel.infer"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.infer">[docs]</a>    <span class="k">def</span> <span class="nf">infer</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.infer">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.infer">[docs]</a>
+    <span class="k">def</span> <span class="nf">infer</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Given feature data (in `feed_dict`), get predicted scores with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -743,7 +766,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
         <span class="n">feed_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">is_train_stage</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
         <span class="k">return</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">pred</span><span class="p">],</span> <span class="n">feed_dict</span><span class="o">=</span><span class="n">feed_dict</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="BaseModel.load_model"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.load_model">[docs]</a>    <span class="k">def</span> <span class="nf">load_model</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.load_model">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.load_model">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_model</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load an existing model.</span>
 
 <span class="sd">        Args:</span>
@@ -761,7 +787,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
         <span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
             <span class="k">raise</span> <span class="ne">IOError</span><span class="p">(</span><span class="s2">&quot;Failed to find any matching files for </span><span class="si">{0}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">act_path</span><span class="p">))</span></div>
 
-<div class="viewcode-block" id="BaseModel.fit"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_file</span><span class="p">,</span> <span class="n">valid_file</span><span class="p">,</span> <span class="n">test_file</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.fit">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_file</span><span class="p">,</span> <span class="n">valid_file</span><span class="p">,</span> <span class="n">test_file</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit the model with `train_file`. Evaluate the model on valid_file per epoch to observe the training status.</span>
 <span class="sd">        If `test_file` is not None, evaluate it too.</span>
 
@@ -867,7 +896,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
 
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="BaseModel.group_labels"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.group_labels">[docs]</a>    <span class="k">def</span> <span class="nf">group_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">group_keys</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.group_labels">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.group_labels">[docs]</a>
+    <span class="k">def</span> <span class="nf">group_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">group_keys</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Devide `labels` and `preds` into several group according to values in group keys.</span>
 
 <span class="sd">        Args:</span>
@@ -893,7 +925,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
             <span class="n">all_preds</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">group_preds</span><span class="p">[</span><span class="n">k</span><span class="p">])</span>
         <span class="k">return</span> <span class="n">all_labels</span><span class="p">,</span> <span class="n">all_preds</span></div>
 
-<div class="viewcode-block" id="BaseModel.run_eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.run_eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the given file and returns some evaluation metrics.</span>
 
 <span class="sd">        Args:</span>
@@ -922,7 +957,10 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
             <span class="n">res</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">res_pairwise</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span></div>
 
-<div class="viewcode-block" id="BaseModel.predict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.predict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.base_model.BaseModel.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Make predictions on the given data, and output predicted scores to a file.</span>
 
 <span class="sd">        Args:</span>
@@ -945,6 +983,7 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
                 <span class="n">wt</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
+
     <span class="k">def</span> <span class="nf">_attention</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">attention_size</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Soft alignment attention implement.</span>
 
@@ -1061,6 +1100,7 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
                 <span class="p">)</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">logit</span> <span class="o">=</span> <span class="n">nn_output</span>
         <span class="k">return</span> <span class="n">nn_output</span></div>
+
 </pre></div>
 
                 </article>
@@ -1101,7 +1141,7 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1125,8 +1165,8 @@ <h1>Source code for recommenders.models.deeprec.models.base_model</h1><div class
   </div>
   
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-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/dkn.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/dkn.html
index 5881b00bd..1852772b8 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/dkn.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/dkn.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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+const thebe_selector_output = ".output, .cell_output"
+</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -120,13 +122,10 @@
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 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
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@@ -167,7 +166,18 @@
   
   
 </a></div>
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+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;DKN&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="DKN"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN">[docs]</a><span class="k">class</span> <span class="nc">DKN</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="DKN">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN">[docs]</a>
+<span class="k">class</span> <span class="nc">DKN</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;DKN model (Deep Knowledge-Aware Network)</span>
 
 <span class="sd">    :Citation:</span>
@@ -347,7 +359,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
 <span class="sd">        Wide Web, 2018.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="DKN.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">):</span>
+<div class="viewcode-block" id="DKN.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for DKN.</span>
 <span class="sd">        Compared with the BaseModel, DKN requires two different pre-computed embeddings,</span>
 <span class="sd">        i.e. word embedding and entity embedding.</span>
@@ -405,6 +419,7 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">graph</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_init_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load pre-trained embeddings as a constant tensor.</span>
 
@@ -767,7 +782,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
         <span class="n">h_pool_flat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">h_pool</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">num_filters_total</span><span class="p">])</span>
         <span class="k">return</span> <span class="n">h_pool_flat</span>
 
-<div class="viewcode-block" id="DKN.infer_embedding"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.infer_embedding">[docs]</a>    <span class="k">def</span> <span class="nf">infer_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="DKN.infer_embedding">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.infer_embedding">[docs]</a>
+    <span class="k">def</span> <span class="nf">infer_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Infer document embedding in feed_dict with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -781,7 +798,10 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
         <span class="n">feed_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">is_train_stage</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
         <span class="k">return</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">news_field_embed_final_batch</span><span class="p">],</span> <span class="n">feed_dict</span><span class="o">=</span><span class="n">feed_dict</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="DKN.run_get_embedding"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding">[docs]</a>    <span class="k">def</span> <span class="nf">run_get_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKN.run_get_embedding">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_get_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;infer document embedding with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -811,7 +831,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
                         <span class="p">)</span>
                         <span class="o">+</span> <span class="s2">&quot;</span><span class="se">\n</span><span class="s2">&quot;</span>
                     <span class="p">)</span>
-        <span class="k">return</span> <span class="bp">self</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -852,7 +874,7 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -876,8 +898,8 @@ <h1>Source code for recommenders.models.deeprec.models.dkn</h1><div class="highl
   </div>
   
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-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/dkn_item2item.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/dkn_item2item.html
index 75863720b..18a09ae88 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/dkn_item2item.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/dkn_item2item.html
@@ -1,9 +1,8 @@
 
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
 <span class="sd"> &quot;&quot;&quot;</span>
 
 
-<div class="viewcode-block" id="DKNItem2Item"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item">[docs]</a><span class="k">class</span> <span class="nc">DKNItem2Item</span><span class="p">(</span><span class="n">DKN</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2Item">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item">[docs]</a>
+<span class="k">class</span> <span class="nc">DKNItem2Item</span><span class="p">(</span><span class="n">DKN</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Class for item-to-item recommendations using DKN.</span>
 <span class="sd">    See https://github.com/microsoft/recommenders/blob/main/examples/07_tutorials/KDD2020-tutorial/step4_run_dkn_item2item.ipynb&quot;&quot;&quot;</span>
 
@@ -413,7 +425,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
             <span class="n">news_field_embed</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">news_field_embed</span><span class="p">,</span> <span class="n">W</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">news_field_embed</span>
 
-<div class="viewcode-block" id="DKNItem2Item.eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval">[docs]</a>    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
+<div class="viewcode-block" id="DKNItem2Item.eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the data in `feed_dict` with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -430,7 +444,10 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
         <span class="n">labels</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
         <span class="k">return</span> <span class="p">(</span><span class="n">preds</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="DKNItem2Item.run_eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
+
+<div class="viewcode-block" id="DKNItem2Item.run_eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the given file and returns some evaluation metrics.</span>
 
 <span class="sd">        Args:</span>
@@ -454,7 +471,9 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
                 <span class="n">group_labels</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">step_labels</span><span class="p">)</span>
 
         <span class="n">res</span> <span class="o">=</span> <span class="n">cal_metric</span><span class="p">(</span><span class="n">group_labels</span><span class="p">,</span> <span class="n">group_preds</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hparams</span><span class="o">.</span><span class="n">pairwise_metrics</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">res</span></div></div>
+        <span class="k">return</span> <span class="n">res</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -495,7 +514,7 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -519,8 +538,8 @@ <h1>Source code for recommenders.models.deeprec.models.dkn_item2item</h1><div cl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html
index 2f7664912..8aa6cee1d 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
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+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
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 const thebe_selector = ".thebe,.cell"
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-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/graphrec/lightgcn';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -346,7 +356,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
 <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">disable_eager_execution</span><span class="p">()</span>  <span class="c1"># need to disable eager in TF2.x</span>
 
 
-<div class="viewcode-block" id="LightGCN"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN">[docs]</a><span class="k">class</span> <span class="nc">LightGCN</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="LightGCN">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN">[docs]</a>
+<span class="k">class</span> <span class="nc">LightGCN</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;LightGCN model</span>
 
 <span class="sd">    :Citation:</span>
@@ -356,7 +368,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
 <span class="sd">        preprint arXiv:2002.02126, 2020.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LightGCN.__init__"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="LightGCN.__init__">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initializing the model. Create parameters, placeholders, embeddings and loss function.</span>
 
 <span class="sd">        Args:</span>
@@ -446,6 +460,7 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span></div>
 
+
     <span class="k">def</span> <span class="nf">_init_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize user and item embeddings.</span>
 
@@ -533,7 +548,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
         <span class="n">indices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mat</span><span class="p">([</span><span class="n">coo</span><span class="o">.</span><span class="n">row</span><span class="p">,</span> <span class="n">coo</span><span class="o">.</span><span class="n">col</span><span class="p">])</span><span class="o">.</span><span class="n">transpose</span><span class="p">()</span>
         <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">SparseTensor</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="n">coo</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">coo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
 
-<div class="viewcode-block" id="LightGCN.fit"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="LightGCN.fit">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit the model on self.data.train. If eval_epoch is not -1, evaluate the model on `self.data.test`</span>
 <span class="sd">        every `eval_epoch` epoch to observe the training status.</span>
 
@@ -598,7 +615,10 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
                     <span class="p">)</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="LightGCN.load"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LightGCN.load">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load">[docs]</a>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load an existing model.</span>
 
 <span class="sd">        Args:</span>
@@ -615,7 +635,10 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
                 <span class="s2">&quot;Failed to find any matching files for </span><span class="si">{0}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model_path</span><span class="p">)</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="LightGCN.run_eval"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LightGCN.run_eval">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Run evaluation on self.data.test.</span>
 
 <span class="sd">        Returns:</span>
@@ -636,7 +659,10 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
                 <span class="n">ret</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">recall_at_k</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">test</span><span class="p">,</span> <span class="n">topk_scores</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">top_k</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">ret</span></div>
 
-<div class="viewcode-block" id="LightGCN.score"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_ids</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LightGCN.score">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score">[docs]</a>
+    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_ids</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Score all items for test users.</span>
 
 <span class="sd">        Args:</span>
@@ -668,7 +694,10 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
             <span class="n">test_scores</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">R</span><span class="o">.</span><span class="n">tocsr</span><span class="p">()[</span><span class="n">user_ids</span><span class="p">,</span> <span class="p">:]</span> <span class="o">*</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span>
         <span class="k">return</span> <span class="n">test_scores</span></div>
 
-<div class="viewcode-block" id="LightGCN.recommend_k_items"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span>
+
+<div class="viewcode-block" id="LightGCN.recommend_k_items">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">use_id</span><span class="o">=</span><span class="kc">False</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Recommend top K items for all users in the test set.</span>
@@ -709,6 +738,7 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
 
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">output_embeddings</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idmapper</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">target</span><span class="p">,</span> <span class="n">user_file</span><span class="p">):</span>
         <span class="n">embeddings</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">target</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="n">session</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">))</span>
         <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">user_file</span><span class="p">,</span> <span class="s2">&quot;w&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">wt</span><span class="p">:</span>
@@ -719,7 +749,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
                     <span class="p">)</span>
                 <span class="p">)</span>
 
-<div class="viewcode-block" id="LightGCN.infer_embedding"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding">[docs]</a>    <span class="k">def</span> <span class="nf">infer_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_file</span><span class="p">,</span> <span class="n">item_file</span><span class="p">):</span>
+<div class="viewcode-block" id="LightGCN.infer_embedding">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding">[docs]</a>
+    <span class="k">def</span> <span class="nf">infer_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_file</span><span class="p">,</span> <span class="n">item_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Export user and item embeddings to csv files.</span>
 
 <span class="sd">        Args:</span>
@@ -742,7 +774,9 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">output_embeddings</span><span class="p">(</span>
             <span class="n">data</span><span class="o">.</span><span class="n">id2item</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_items</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ia_embeddings</span><span class="p">,</span> <span class="n">item_file</span>
-        <span class="p">)</span></div></div>
+        <span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -783,7 +817,7 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -807,8 +841,8 @@ <h1>Source code for recommenders.models.deeprec.models.graphrec.lightgcn</h1><di
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/asvd.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/asvd.html
index 641c033df..f547eb071 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/asvd.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/asvd.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
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-<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
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-    <script src="../../../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/asvd';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/asvd.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.asvd</h1><div
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;A2SVDModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="A2SVDModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel">[docs]</a><span class="k">class</span> <span class="nc">A2SVDModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="A2SVDModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel">[docs]</a>
+<span class="k">class</span> <span class="nc">A2SVDModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;A2SVD Model (Attentive Asynchronous Singular Value Decomposition)</span>
 
 <span class="sd">    It extends ASVD with an attention module.</span>
@@ -373,6 +385,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.asvd</h1><div
             <span class="bp">self</span><span class="o">.</span><span class="n">model_output</span> <span class="o">=</span> <span class="n">model_output</span>
             <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="s2">&quot;model_output&quot;</span><span class="p">,</span> <span class="n">model_output</span><span class="p">)</span>
             <span class="k">return</span> <span class="n">model_output</span></div>
+
 </pre></div>
 
                 </article>
@@ -413,7 +426,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.asvd</h1><div
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -437,8 +450,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.asvd</h1><div
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/caser.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/caser.html
index b94c286a0..9628490eb 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/caser.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/caser.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
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     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;CaserModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="CaserModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.caser.CaserModel">[docs]</a><span class="k">class</span> <span class="nc">CaserModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="CaserModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.caser.CaserModel">[docs]</a>
+<span class="k">class</span> <span class="nc">CaserModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Caser Model</span>
 
 <span class="sd">    :Citation:</span>
@@ -347,7 +359,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
 <span class="sd">        Web Search and Data Mining, ACM, 2018.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="CaserModel.__init__"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="CaserModel.__init__">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization of variables for caser</span>
 
 <span class="sd">        Args:</span>
@@ -364,6 +378,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
         <span class="p">]</span>  <span class="c1"># horizonal convolution filter shape</span>
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_build_seq_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;The main function to create caser model.</span>
 
@@ -434,6 +449,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
             <span class="n">activation</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">,</span>
             <span class="n">name</span><span class="o">=</span><span class="s2">&quot;conv_&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">shape</span><span class="p">),</span>
         <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -474,7 +490,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -498,8 +514,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.caser</h1><div
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/gru.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/gru.html
index a9dcbc477..21377df0f 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/gru.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/gru.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
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@@ -18,54 +17,58 @@
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-<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+  <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/gru';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/gru.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.gru</h1><div c
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;GRUModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="GRUModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.gru.GRUModel">[docs]</a><span class="k">class</span> <span class="nc">GRUModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="GRUModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.gru.GRUModel">[docs]</a>
+<span class="k">class</span> <span class="nc">GRUModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;GRU Model</span>
 
 <span class="sd">    :Citation:</span>
@@ -406,6 +418,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.gru</h1><div c
             <span class="p">)</span>
             <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="s2">&quot;GRU_outputs&quot;</span><span class="p">,</span> <span class="n">rnn_outputs</span><span class="p">)</span>
             <span class="k">return</span> <span class="n">final_state</span></div>
+
 </pre></div>
 
                 </article>
@@ -446,7 +459,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.gru</h1><div c
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -470,8 +483,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.gru</h1><div c
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/nextitnet.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/nextitnet.html
index a54d472ad..a48b1027a 100644
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     <script>let toggleOpenOnPrint = 'true';</script>
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+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
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+
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+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.nextitnet</h1>
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NextItNetModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NextItNetModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel">[docs]</a><span class="k">class</span> <span class="nc">NextItNetModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="NextItNetModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel">[docs]</a>
+<span class="k">class</span> <span class="nc">NextItNetModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NextItNet Model</span>
 
 <span class="sd">    :Citation:</span>
@@ -564,6 +576,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.nextitnet</h1>
             <span class="n">x</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">mean</span><span class="p">)</span> <span class="o">/</span> <span class="n">tf</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">variance</span> <span class="o">+</span> <span class="n">epsilon</span><span class="p">)</span>
 
             <span class="k">return</span> <span class="n">gamma</span> <span class="o">*</span> <span class="n">x</span> <span class="o">+</span> <span class="n">beta</span></div>
+
 </pre></div>
 
                 </article>
@@ -604,7 +617,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.nextitnet</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -628,8 +641,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.nextitnet</h1>
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html
index 985a57f7b..d9a7d2b08 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html
@@ -1,9 +1,8 @@
 
-
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+<html lang="en" data-content_root="../../../../../../" >
 
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
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   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -371,7 +381,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="Time4LSTMCell"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell">[docs]</a><span class="k">class</span> <span class="nc">Time4LSTMCell</span><span class="p">(</span><span class="n">RNNCell</span><span class="p">):</span>
+<div class="viewcode-block" id="Time4LSTMCell">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell">[docs]</a>
+<span class="k">class</span> <span class="nc">Time4LSTMCell</span><span class="p">(</span><span class="n">RNNCell</span><span class="p">):</span>
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">num_units</span><span class="p">,</span>
@@ -453,7 +465,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
     <span class="k">def</span> <span class="nf">output_size</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_output_size</span>
 
-<div class="viewcode-block" id="Time4LSTMCell.call"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+<div class="viewcode-block" id="Time4LSTMCell.call">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call method for the Time4LSTMCell.</span>
 
 <span class="sd">        Args:</span>
@@ -633,10 +647,14 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
             <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_state_is_tuple</span>
             <span class="k">else</span> <span class="n">array_ops</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">c</span><span class="p">,</span> <span class="n">m</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
         <span class="p">)</span>
-        <span class="k">return</span> <span class="n">m</span><span class="p">,</span> <span class="n">new_state</span></div></div>
+        <span class="k">return</span> <span class="n">m</span><span class="p">,</span> <span class="n">new_state</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="Time4ALSTMCell"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell">[docs]</a><span class="k">class</span> <span class="nc">Time4ALSTMCell</span><span class="p">(</span><span class="n">RNNCell</span><span class="p">):</span>
+<div class="viewcode-block" id="Time4ALSTMCell">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell">[docs]</a>
+<span class="k">class</span> <span class="nc">Time4ALSTMCell</span><span class="p">(</span><span class="n">RNNCell</span><span class="p">):</span>
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">num_units</span><span class="p">,</span>
@@ -718,7 +736,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
     <span class="k">def</span> <span class="nf">output_size</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_output_size</span>
 
-<div class="viewcode-block" id="Time4ALSTMCell.call"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+<div class="viewcode-block" id="Time4ALSTMCell.call">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call method for the Time4ALSTMCell.</span>
 
 <span class="sd">        Args:</span>
@@ -900,7 +920,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
             <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_state_is_tuple</span>
             <span class="k">else</span> <span class="n">array_ops</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">c</span><span class="p">,</span> <span class="n">m</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
         <span class="p">)</span>
-        <span class="k">return</span> <span class="n">m</span><span class="p">,</span> <span class="n">new_state</span></div></div>
+        <span class="k">return</span> <span class="n">m</span><span class="p">,</span> <span class="n">new_state</span></div>
+</div>
+
 
 
 <span class="k">class</span> <span class="nc">_Linear</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
@@ -1026,7 +1048,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1050,8 +1072,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.rnn_cell_imple
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html
index f8db8d78d..9e841aeb4 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
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-    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/sequential_base_model';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,10 +352,14 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;SequentialBaseModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="SequentialBaseModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel">[docs]</a><span class="k">class</span> <span class="nc">SequentialBaseModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialBaseModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel">[docs]</a>
+<span class="k">class</span> <span class="nc">SequentialBaseModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Base class for sequential models&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SequentialBaseModel.__init__"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="SequentialBaseModel.__init__">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initializing the model. Create common logics which are needed by all sequential models, such as loss function,</span>
 <span class="sd">        parameter set.</span>
 
@@ -378,6 +392,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">graph</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">graph</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="nd">@abc</span><span class="o">.</span><span class="n">abstractmethod</span>
     <span class="k">def</span> <span class="nf">_build_seq_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Subclass will implement this.&quot;&quot;&quot;</span>
@@ -401,7 +416,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
             <span class="bp">self</span><span class="o">.</span><span class="n">_add_norm</span><span class="p">()</span>
             <span class="k">return</span> <span class="n">logit</span>
 
-<div class="viewcode-block" id="SequentialBaseModel.fit"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span>
+<div class="viewcode-block" id="SequentialBaseModel.fit">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train_file</span><span class="p">,</span>
         <span class="n">valid_file</span><span class="p">,</span>
@@ -517,7 +534,10 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
         <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;best epoch: </span><span class="si">{0}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">best_epoch</span><span class="p">))</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="SequentialBaseModel.run_eval"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">,</span> <span class="n">num_ngs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SequentialBaseModel.run_eval">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">,</span> <span class="n">num_ngs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the given file and returns some evaluation metrics.</span>
 
 <span class="sd">        Args:</span>
@@ -552,7 +572,10 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
         <span class="n">res</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">res_pairwise</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span></div>
 
-<div class="viewcode-block" id="SequentialBaseModel.predict"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SequentialBaseModel.predict">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">infile_name</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Make predictions on the given data, and output predicted scores to a file.</span>
 
 <span class="sd">        Args:</span>
@@ -575,6 +598,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
                     <span class="n">wt</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
+
     <span class="k">def</span> <span class="nf">_build_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;The field embedding layer. Initialization of embedding variables.&quot;&quot;&quot;</span>
         <span class="n">hparams</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hparams</span>
@@ -673,6 +697,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
         <span class="n">layer_params</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">all_variables</span><span class="p">)</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">embed_variables</span><span class="p">))</span>
         <span class="n">layer_params</span> <span class="o">=</span> <span class="p">[</span><span class="n">a</span> <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">layer_params</span> <span class="k">if</span> <span class="s2">&quot;_no_reg&quot;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">a</span><span class="o">.</span><span class="n">name</span><span class="p">]</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">layer_params</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">layer_params</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -713,7 +738,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -737,8 +762,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sequential_bas
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html
index 18dc368ea..13b818c86 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
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+<link href="../../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+
+    <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/sli_rec';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/sli_rec.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -341,7 +351,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sli_rec</h1><d
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;SLI_RECModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="SLI_RECModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel">[docs]</a><span class="k">class</span> <span class="nc">SLI_RECModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="SLI_RECModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel">[docs]</a>
+<span class="k">class</span> <span class="nc">SLI_RECModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;SLI Rec model</span>
 
 <span class="sd">    :Citation:</span>
@@ -462,6 +474,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sli_rec</h1><d
             <span class="p">)</span>
             <span class="n">output</span> <span class="o">=</span> <span class="n">user_embedding</span> <span class="o">*</span> <span class="n">tf</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">att_weights</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
             <span class="k">return</span> <span class="n">output</span></div>
+
 </pre></div>
 
                 </article>
@@ -502,7 +515,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sli_rec</h1><d
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -526,8 +539,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sli_rec</h1><d
   </div>
   
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+<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sum.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sum.html
index dcb8e934f..85c04b738 100644
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+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sum.html
@@ -1,9 +1,8 @@
 
-
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+<html lang="en" data-content_root="../../../../../../" >
 
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+
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+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/sum.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
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@@ -120,13 +122,10 @@
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 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum</h1><div c
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="SUMModel"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum.SUMModel">[docs]</a><span class="k">class</span> <span class="nc">SUMModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="SUMModel">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum.SUMModel">[docs]</a>
+<span class="k">class</span> <span class="nc">SUMModel</span><span class="p">(</span><span class="n">SequentialBaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Sequential User Matrix Model</span>
 
 <span class="sd">    :Citation:</span>
@@ -480,6 +492,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum</h1><div c
             <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="s2">&quot;SUM_outputs&quot;</span><span class="p">,</span> <span class="n">rum_outputs</span><span class="p">)</span>
 
         <span class="k">return</span> <span class="n">final_state</span></div>
+
 </pre></div>
 
                 </article>
@@ -520,7 +533,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum</h1><div c
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -544,8 +557,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum</h1><div c
   </div>
   
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-  <script src="../../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sum_cells.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sum_cells.html
index 6b1d52dc1..2f33ba57d 100644
--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sum_cells.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/sequential/sum_cells.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../../" >
 
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+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
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-    <script async="async" src="../../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/deeprec/models/sequential/sum_cells';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/deeprec/models/sequential/sum_cells.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -347,7 +357,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
 <span class="n">_WEIGHTS_VARIABLE_NAME</span> <span class="o">=</span> <span class="s2">&quot;kernel&quot;</span>
 
 
-<div class="viewcode-block" id="SUMCell"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell">[docs]</a><span class="k">class</span> <span class="nc">SUMCell</span><span class="p">(</span><span class="n">LayerRNNCell</span><span class="p">):</span>
+<div class="viewcode-block" id="SUMCell">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell">[docs]</a>
+<span class="k">class</span> <span class="nc">SUMCell</span><span class="p">(</span><span class="n">LayerRNNCell</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Cell for Sequential User Matrix&quot;&quot;&quot;</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
@@ -489,7 +501,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">built</span> <span class="o">=</span> <span class="kc">True</span>
 
-<div class="viewcode-block" id="SUMCell.call"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+<div class="viewcode-block" id="SUMCell.call">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;The real operations for SUM cell to process user behaviors.</span>
 
 <span class="sd">        params:</span>
@@ -555,7 +569,10 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
         <span class="n">state</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">state01</span><span class="p">,</span> <span class="n">state02</span><span class="p">,</span> <span class="n">inputs</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">state</span><span class="p">,</span> <span class="n">state</span></div>
 
-<div class="viewcode-block" id="SUMCell.get_config"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config">[docs]</a>    <span class="k">def</span> <span class="nf">get_config</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SUMCell.get_config">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_config</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
             <span class="s2">&quot;num_units&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_num_units</span><span class="p">,</span>
             <span class="s2">&quot;kernel_initializer&quot;</span><span class="p">:</span> <span class="n">initializers</span><span class="o">.</span><span class="n">serialize</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_kernel_initializer</span><span class="p">),</span>
@@ -564,10 +581,14 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
             <span class="s2">&quot;reuse&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_reuse</span><span class="p">,</span>
         <span class="p">}</span>
         <span class="n">base_config</span> <span class="o">=</span> <span class="nb">super</span><span class="p">(</span><span class="n">SUMCell</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">get_config</span><span class="p">()</span>
-        <span class="k">return</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">base_config</span><span class="o">.</span><span class="n">items</span><span class="p">())</span> <span class="o">+</span> <span class="nb">list</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">items</span><span class="p">()))</span></div></div>
+        <span class="k">return</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">base_config</span><span class="o">.</span><span class="n">items</span><span class="p">())</span> <span class="o">+</span> <span class="nb">list</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">items</span><span class="p">()))</span></div>
+</div>
 
 
-<div class="viewcode-block" id="SUMV2Cell"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell">[docs]</a><span class="k">class</span> <span class="nc">SUMV2Cell</span><span class="p">(</span><span class="n">SUMCell</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SUMV2Cell">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell">[docs]</a>
+<span class="k">class</span> <span class="nc">SUMV2Cell</span><span class="p">(</span><span class="n">SUMCell</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;A variant of SUM cell, which upgrades the writing attention&quot;&quot;&quot;</span>
 
     <span class="nd">@tf_utils</span><span class="o">.</span><span class="n">shape_type_conversion</span>
@@ -618,7 +639,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">built</span> <span class="o">=</span> <span class="kc">True</span>
 
-<div class="viewcode-block" id="SUMV2Cell.call"><a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+<div class="viewcode-block" id="SUMV2Cell.call">
+<a class="viewcode-back" href="../../../../../../models.html#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;The real operations for SUMV2 cell to process user behaviors.</span>
 
 <span class="sd">        Args:</span>
@@ -691,7 +714,9 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
         <span class="n">state02</span> <span class="o">=</span> <span class="n">start_part02</span> <span class="o">*</span> <span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">ones_like</span><span class="p">(</span><span class="n">start_part02</span><span class="p">)</span> <span class="o">-</span> <span class="n">dist</span> <span class="o">*</span> <span class="n">erase</span><span class="p">)</span>
         <span class="n">state02</span> <span class="o">=</span> <span class="n">state02</span> <span class="o">+</span> <span class="n">dist</span> <span class="o">*</span> <span class="n">erase</span> <span class="o">*</span> <span class="n">add</span>
         <span class="n">state</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">state01</span><span class="p">,</span> <span class="n">state02</span><span class="p">,</span> <span class="n">inputs</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">state</span><span class="p">,</span> <span class="n">state</span></div></div>
+        <span class="k">return</span> <span class="n">state</span><span class="p">,</span> <span class="n">state</span></div>
+</div>
+
 
 
 <span class="k">def</span> <span class="nf">_check_rnn_cell_input_dtypes</span><span class="p">(</span><span class="n">inputs</span><span class="p">):</span>
@@ -747,7 +772,7 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -771,8 +796,8 @@ <h1>Source code for recommenders.models.deeprec.models.sequential.sum_cells</h1>
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/deeprec/models/xDeepFM.html b/docs/_build/html/_modules/recommenders/models/deeprec/models/xDeepFM.html
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--- a/docs/_build/html/_modules/recommenders/models/deeprec/models/xDeepFM.html
+++ b/docs/_build/html/_modules/recommenders/models/deeprec/models/xDeepFM.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
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+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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-
   
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-
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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@@ -338,7 +348,9 @@ <h1>Source code for recommenders.models.deeprec.models.xDeepFM</h1><div class="h
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;XDeepFMModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="XDeepFMModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel">[docs]</a><span class="k">class</span> <span class="nc">XDeepFMModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="XDeepFMModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel">[docs]</a>
+<span class="k">class</span> <span class="nc">XDeepFMModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;xDeepFM model</span>
 
 <span class="sd">    :Citation:</span>
@@ -860,6 +872,7 @@ <h1>Source code for recommenders.models.deeprec.models.xDeepFM</h1><div class="h
                 <span class="n">hidden_nn_layers</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">w_nn_output</span><span class="p">,</span> <span class="n">b_nn_output</span>
             <span class="p">)</span>
             <span class="k">return</span> <span class="n">nn_output</span></div>
+
 </pre></div>
 
                 </article>
@@ -900,7 +913,7 @@ <h1>Source code for recommenders.models.deeprec.models.xDeepFM</h1><div class="h
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -924,8 +937,8 @@ <h1>Source code for recommenders.models.deeprec.models.xDeepFM</h1><div class="h
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diff --git a/docs/_build/html/_modules/recommenders/models/fastai/fastai_utils.html b/docs/_build/html/_modules/recommenders/models/fastai/fastai_utils.html
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+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/fastai/fastai_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/fastai/fastai_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
 <span class="kn">from</span> <span class="nn">recommenders.utils</span> <span class="kn">import</span> <span class="n">constants</span> <span class="k">as</span> <span class="n">cc</span>
 
 
-<div class="viewcode-block" id="cartesian_product"><a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.cartesian_product">[docs]</a><span class="k">def</span> <span class="nf">cartesian_product</span><span class="p">(</span><span class="o">*</span><span class="n">arrays</span><span class="p">):</span>
+<div class="viewcode-block" id="cartesian_product">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.cartesian_product">[docs]</a>
+<span class="k">def</span> <span class="nf">cartesian_product</span><span class="p">(</span><span class="o">*</span><span class="n">arrays</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Compute the Cartesian product in fastai algo. This is a helper function.</span>
 
 <span class="sd">    Args:</span>
@@ -357,7 +369,10 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
     <span class="k">return</span> <span class="n">arr</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">la</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.score">[docs]</a><span class="k">def</span> <span class="nf">score</span><span class="p">(</span>
+
+<div class="viewcode-block" id="score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.score">[docs]</a>
+<span class="k">def</span> <span class="nf">score</span><span class="p">(</span>
     <span class="n">learner</span><span class="p">,</span>
     <span class="n">test_df</span><span class="p">,</span>
     <span class="n">user_col</span><span class="o">=</span><span class="n">cc</span><span class="o">.</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -400,7 +415,10 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
     <span class="k">return</span> <span class="n">top_scores</span></div>
 
 
-<div class="viewcode-block" id="hide_fastai_progress_bar"><a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar">[docs]</a><span class="k">def</span> <span class="nf">hide_fastai_progress_bar</span><span class="p">():</span>
+
+<div class="viewcode-block" id="hide_fastai_progress_bar">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar">[docs]</a>
+<span class="k">def</span> <span class="nf">hide_fastai_progress_bar</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Hide fastai progress bar&quot;&quot;&quot;</span>
     <span class="n">fastprogress</span><span class="o">.</span><span class="n">fastprogress</span><span class="o">.</span><span class="n">NO_BAR</span> <span class="o">=</span> <span class="kc">True</span>
     <span class="n">fastprogress</span><span class="o">.</span><span class="n">fastprogress</span><span class="o">.</span><span class="n">WRITER_FN</span> <span class="o">=</span> <span class="nb">str</span>
@@ -409,6 +427,7 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
         <span class="n">master_bar</span><span class="p">,</span>
         <span class="n">progress_bar</span><span class="p">,</span>
     <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -449,7 +468,7 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -473,8 +492,8 @@ <h1>Source code for recommenders.models.fastai.fastai_utils</h1><div class="high
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/lightfm/lightfm_utils.html b/docs/_build/html/_modules/recommenders/models/lightfm/lightfm_utils.html
index f56c2d8ca..97de66a08 100644
--- a/docs/_build/html/_modules/recommenders/models/lightfm/lightfm_utils.html
+++ b/docs/_build/html/_modules/recommenders/models/lightfm/lightfm_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
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@@ -18,54 +17,58 @@
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+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/lightfm/lightfm_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/lightfm/lightfm_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -336,7 +346,9 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
 <span class="kn">from</span> <span class="nn">lightfm.evaluation</span> <span class="kn">import</span> <span class="n">precision_at_k</span><span class="p">,</span> <span class="n">recall_at_k</span>
 
 
-<div class="viewcode-block" id="model_perf_plots"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.model_perf_plots">[docs]</a><span class="k">def</span> <span class="nf">model_perf_plots</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
+<div class="viewcode-block" id="model_perf_plots">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.model_perf_plots">[docs]</a>
+<span class="k">def</span> <span class="nf">model_perf_plots</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to plot model performance metrics.</span>
 
 <span class="sd">    Args:</span>
@@ -349,7 +361,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="n">g</span> <span class="o">=</span> <span class="n">g</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="n">sns</span><span class="o">.</span><span class="n">scatterplot</span><span class="p">,</span> <span class="s2">&quot;epoch&quot;</span><span class="p">,</span> <span class="s2">&quot;value&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">add_legend</span><span class="p">()</span></div>
 
 
-<div class="viewcode-block" id="compare_metric"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.compare_metric">[docs]</a><span class="k">def</span> <span class="nf">compare_metric</span><span class="p">(</span><span class="n">df_list</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s2">&quot;prec&quot;</span><span class="p">,</span> <span class="n">stage</span><span class="o">=</span><span class="s2">&quot;test&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="compare_metric">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.compare_metric">[docs]</a>
+<span class="k">def</span> <span class="nf">compare_metric</span><span class="p">(</span><span class="n">df_list</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s2">&quot;prec&quot;</span><span class="p">,</span> <span class="n">stage</span><span class="o">=</span><span class="s2">&quot;test&quot;</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to combine and prepare list of dataframes into tidy format.</span>
 
 <span class="sd">    Args:</span>
@@ -373,7 +388,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">output</span></div>
 
 
-<div class="viewcode-block" id="track_model_metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.track_model_metrics">[docs]</a><span class="k">def</span> <span class="nf">track_model_metrics</span><span class="p">(</span>
+
+<div class="viewcode-block" id="track_model_metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.track_model_metrics">[docs]</a>
+<span class="k">def</span> <span class="nf">track_model_metrics</span><span class="p">(</span>
     <span class="n">model</span><span class="p">,</span>
     <span class="n">train_interactions</span><span class="p">,</span>
     <span class="n">test_interactions</span><span class="p">,</span>
@@ -453,7 +471,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">fitting_metrics</span><span class="p">,</span> <span class="n">model</span></div>
 
 
-<div class="viewcode-block" id="similar_users"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.similar_users">[docs]</a><span class="k">def</span> <span class="nf">similar_users</span><span class="p">(</span><span class="n">user_id</span><span class="p">,</span> <span class="n">user_features</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">N</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="similar_users">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.similar_users">[docs]</a>
+<span class="k">def</span> <span class="nf">similar_users</span><span class="p">(</span><span class="n">user_id</span><span class="p">,</span> <span class="n">user_features</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">N</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to return top N similar users based on https://github.com/lyst/lightfm/issues/244#issuecomment-355305681</span>
 
 <span class="sd">     Args:</span>
@@ -480,7 +501,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="similar_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.similar_items">[docs]</a><span class="k">def</span> <span class="nf">similar_items</span><span class="p">(</span><span class="n">item_id</span><span class="p">,</span> <span class="n">item_features</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">N</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
+
+<div class="viewcode-block" id="similar_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.similar_items">[docs]</a>
+<span class="k">def</span> <span class="nf">similar_items</span><span class="p">(</span><span class="n">item_id</span><span class="p">,</span> <span class="n">item_features</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">N</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to return top N similar items</span>
 <span class="sd">    based on https://github.com/lyst/lightfm/issues/244#issuecomment-355305681</span>
 
@@ -508,7 +532,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="prepare_test_df"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.prepare_test_df">[docs]</a><span class="k">def</span> <span class="nf">prepare_test_df</span><span class="p">(</span><span class="n">test_idx</span><span class="p">,</span> <span class="n">uids</span><span class="p">,</span> <span class="n">iids</span><span class="p">,</span> <span class="n">uid_map</span><span class="p">,</span> <span class="n">iid_map</span><span class="p">,</span> <span class="n">weights</span><span class="p">):</span>
+
+<div class="viewcode-block" id="prepare_test_df">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.prepare_test_df">[docs]</a>
+<span class="k">def</span> <span class="nf">prepare_test_df</span><span class="p">(</span><span class="n">test_idx</span><span class="p">,</span> <span class="n">uids</span><span class="p">,</span> <span class="n">iids</span><span class="p">,</span> <span class="n">uid_map</span><span class="p">,</span> <span class="n">iid_map</span><span class="p">,</span> <span class="n">weights</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to prepare test df for evaluation</span>
 
 <span class="sd">    Args:</span>
@@ -538,7 +565,10 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">test_df</span><span class="p">[[</span><span class="s2">&quot;userID&quot;</span><span class="p">,</span> <span class="s2">&quot;itemID&quot;</span><span class="p">,</span> <span class="s2">&quot;rating&quot;</span><span class="p">]]</span></div>
 
 
-<div class="viewcode-block" id="prepare_all_predictions"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions">[docs]</a><span class="k">def</span> <span class="nf">prepare_all_predictions</span><span class="p">(</span>
+
+<div class="viewcode-block" id="prepare_all_predictions">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions">[docs]</a>
+<span class="k">def</span> <span class="nf">prepare_all_predictions</span><span class="p">(</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">uid_map</span><span class="p">,</span>
     <span class="n">iid_map</span><span class="p">,</span>
@@ -591,6 +621,7 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
     <span class="p">)</span>
 
     <span class="k">return</span> <span class="n">all_predictions</span><span class="p">[[</span><span class="s2">&quot;userID&quot;</span><span class="p">,</span> <span class="s2">&quot;itemID&quot;</span><span class="p">,</span> <span class="s2">&quot;prediction&quot;</span><span class="p">]]</span></div>
+
 </pre></div>
 
                 </article>
@@ -631,7 +662,7 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -655,8 +686,8 @@ <h1>Source code for recommenders.models.lightfm.lightfm_utils</h1><div class="hi
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/lightgbm/lightgbm_utils.html b/docs/_build/html/_modules/recommenders/models/lightgbm/lightgbm_utils.html
index 602dc1468..a33aa98ea 100644
--- a/docs/_build/html/_modules/recommenders/models/lightgbm/lightgbm_utils.html
+++ b/docs/_build/html/_modules/recommenders/models/lightgbm/lightgbm_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
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-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
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-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
-    <script src="../../../../_static/jquery.js"></script>
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-    <script src="../../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
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-    <script src="../../../../_static/copybutton.js"></script>
-    <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/lightgbm/lightgbm_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/lightgbm/lightgbm_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
 <span class="kn">import</span> <span class="nn">gc</span>
 
 
-<div class="viewcode-block" id="unpackbits"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.unpackbits">[docs]</a><span class="k">def</span> <span class="nf">unpackbits</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">num_bits</span><span class="p">):</span>
+<div class="viewcode-block" id="unpackbits">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.unpackbits">[docs]</a>
+<span class="k">def</span> <span class="nf">unpackbits</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">num_bits</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Convert a decimal value numpy.ndarray into multi-binary value numpy.ndarray ([1,2]-&gt;[[0,1],[1,0]])</span>
 
 <span class="sd">    Args:</span>
@@ -350,7 +362,10 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
     <span class="k">return</span> <span class="p">(</span><span class="n">x</span> <span class="o">&amp;</span> <span class="n">to_and</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">bool</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">xshape</span> <span class="o">+</span> <span class="p">[</span><span class="n">num_bits</span><span class="p">])</span></div>
 
 
-<div class="viewcode-block" id="NumEncoder"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder">[docs]</a><span class="k">class</span> <span class="nc">NumEncoder</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+
+<div class="viewcode-block" id="NumEncoder">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder">[docs]</a>
+<span class="k">class</span> <span class="nc">NumEncoder</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Encode all the categorical features into numerical ones by sequential label encoding, sequential count encoding,</span>
 <span class="sd">    and binary encoding. Additionally, it also filters the low-frequency categories and fills the missing values.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
@@ -386,7 +401,9 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
         <span class="bp">self</span><span class="o">.</span><span class="n">Max_len</span> <span class="o">=</span> <span class="p">{}</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">samples</span> <span class="o">=</span> <span class="mi">0</span>
 
-<div class="viewcode-block" id="NumEncoder.fit_transform"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform">[docs]</a>    <span class="k">def</span> <span class="nf">fit_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+<div class="viewcode-block" id="NumEncoder.fit_transform">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Input a training set (pandas.DataFrame) and return the converted 2 numpy.ndarray (x,y).</span>
 
 <span class="sd">        Args:</span>
@@ -473,8 +490,11 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
         <span class="n">trn_x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">rows</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">trn_x</span><span class="p">,</span> <span class="n">trn_y</span></div>
 
+
     <span class="c1"># for test dataset</span>
-<div class="viewcode-block" id="NumEncoder.transform"><a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform">[docs]</a>    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+<div class="viewcode-block" id="NumEncoder.transform">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Input a testing / validation set (pandas.DataFrame) and return the converted 2 numpy.ndarray (x,y).</span>
 
 <span class="sd">        Args:</span>
@@ -532,7 +552,9 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
         <span class="k">del</span> <span class="n">df</span>
         <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
         <span class="n">vld_x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">rows</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">vld_x</span><span class="p">,</span> <span class="n">vld_y</span></div></div>
+        <span class="k">return</span> <span class="n">vld_x</span><span class="p">,</span> <span class="n">vld_y</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -573,7 +595,7 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -597,8 +619,8 @@ <h1>Source code for recommenders.models.lightgbm.lightgbm_utils</h1><div class="
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/ncf/dataset.html b/docs/_build/html/_modules/recommenders/models/ncf/dataset.html
index 58abc945d..6d5e18f3f 100644
--- a/docs/_build/html/_modules/recommenders/models/ncf/dataset.html
+++ b/docs/_build/html/_modules/recommenders/models/ncf/dataset.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
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-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
-    <script src="../../../../_static/jquery.js"></script>
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/ncf/dataset';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/ncf/dataset.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -348,30 +358,46 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="EmptyFileException"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.EmptyFileException">[docs]</a><span class="k">class</span> <span class="nc">EmptyFileException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+<div class="viewcode-block" id="EmptyFileException">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.EmptyFileException">[docs]</a>
+<span class="k">class</span> <span class="nc">EmptyFileException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised if file is empty&quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="MissingFieldsException"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.MissingFieldsException">[docs]</a><span class="k">class</span> <span class="nc">MissingFieldsException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MissingFieldsException">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.MissingFieldsException">[docs]</a>
+<span class="k">class</span> <span class="nc">MissingFieldsException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised if file is missing expected fields&quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="FileNotSortedException"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.FileNotSortedException">[docs]</a><span class="k">class</span> <span class="nc">FileNotSortedException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+
+<div class="viewcode-block" id="FileNotSortedException">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.FileNotSortedException">[docs]</a>
+<span class="k">class</span> <span class="nc">FileNotSortedException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised if file is not sorted correctly&quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="MissingUserException"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.MissingUserException">[docs]</a><span class="k">class</span> <span class="nc">MissingUserException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MissingUserException">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.MissingUserException">[docs]</a>
+<span class="k">class</span> <span class="nc">MissingUserException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Exception raised if user is not in file&quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="DataFile"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile">[docs]</a><span class="k">class</span> <span class="nc">DataFile</span><span class="p">:</span>
+
+<div class="viewcode-block" id="DataFile">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile">[docs]</a>
+<span class="k">class</span> <span class="nc">DataFile</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    DataFile class for NCF. Iterator to read data from a csv file.</span>
 <span class="sd">    Data must be sorted by user. Includes utilities for loading user data from</span>
 <span class="sd">    file, formatting it and returning a Pandas dataframe.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="DataFile.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="DataFile.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">,</span> <span class="n">col_user</span><span class="p">,</span> <span class="n">col_item</span><span class="p">,</span> <span class="n">col_rating</span><span class="p">,</span> <span class="n">col_test_batch</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">binary</span><span class="o">=</span><span class="kc">True</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Constructor</span>
@@ -397,6 +423,7 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
         <span class="bp">self</span><span class="o">.</span><span class="n">id2user</span> <span class="o">=</span> <span class="p">{</span><span class="bp">self</span><span class="o">.</span><span class="n">user2id</span><span class="p">[</span><span class="n">k</span><span class="p">]:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">user2id</span><span class="p">}</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">id2item</span> <span class="o">=</span> <span class="p">{</span><span class="bp">self</span><span class="o">.</span><span class="n">item2id</span><span class="p">[</span><span class="n">k</span><span class="p">]:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">item2id</span><span class="p">}</span></div>
 
+
     <span class="nd">@property</span>
     <span class="k">def</span> <span class="nf">users</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">user2id</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
@@ -506,7 +533,9 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
             <span class="bp">self</span><span class="o">.</span><span class="n">batch_indices_range</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">batch_index</span><span class="p">)</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">data_len</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">line_num</span>
 
-<div class="viewcode-block" id="DataFile.load_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile.load_data">[docs]</a>    <span class="k">def</span> <span class="nf">load_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">key</span><span class="p">,</span> <span class="n">by_user</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<div class="viewcode-block" id="DataFile.load_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.DataFile.load_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">key</span><span class="p">,</span> <span class="n">by_user</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load data for a specified user or test batch</span>
 
 <span class="sd">        Args:</span>
@@ -536,13 +565,19 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
                 <span class="nb">next</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
             <span class="k">else</span><span class="p">:</span>
                 <span class="k">break</span>
-        <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_records</span><span class="p">(</span><span class="n">records</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_records</span><span class="p">(</span><span class="n">records</span><span class="p">)</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="NegativeSampler"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler">[docs]</a><span class="k">class</span> <span class="nc">NegativeSampler</span><span class="p">:</span>
+<div class="viewcode-block" id="NegativeSampler">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler">[docs]</a>
+<span class="k">class</span> <span class="nc">NegativeSampler</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NegativeSampler class for NCF. Samples a subset of negative items from a given population of items.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NegativeSampler.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="NegativeSampler.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">user</span><span class="p">,</span>
         <span class="n">n_samples</span><span class="p">,</span>
@@ -583,13 +618,17 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
         <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_with_replacement</span><span class="p">:</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">_check_sample_size</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="NegativeSampler.sample"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler.sample">[docs]</a>    <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="NegativeSampler.sample">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.NegativeSampler.sample">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Method for sampling uniformly from a population of negative items</span>
 
 <span class="sd">        Returns: list</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sample</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_user_negatives_pool</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="c1"># get list of items user has not interacted with</span>
         <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">item_pool</span><span class="p">)</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">user_positive_item_pool</span><span class="p">)</span>
@@ -626,10 +665,15 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
         <span class="bp">self</span><span class="o">.</span><span class="n">n_samples</span> <span class="o">=</span> <span class="n">k</span></div>
 
 
-<div class="viewcode-block" id="Dataset"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset">[docs]</a><span class="k">class</span> <span class="nc">Dataset</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Dataset">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset">[docs]</a>
+<span class="k">class</span> <span class="nc">Dataset</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Dataset class for NCF&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Dataset.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="Dataset.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train_file</span><span class="p">,</span>
         <span class="n">test_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -718,6 +762,7 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
         <span class="c1"># set random seed</span>
         <span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_create_negative_examples_df</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user</span><span class="p">,</span> <span class="n">user_negative_samples</span><span class="p">):</span>
         <span class="c1"># create dataframe containing negative examples for user assigned zero rating</span>
         <span class="n">n_samples</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">user_negative_samples</span><span class="p">)</span>
@@ -817,7 +862,9 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
             <span class="k">else</span><span class="p">:</span>
                 <span class="k">return</span> <span class="n">batch</span>
 
-<div class="viewcode-block" id="Dataset.train_loader"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.train_loader">[docs]</a>    <span class="k">def</span> <span class="nf">train_loader</span><span class="p">(</span>
+<div class="viewcode-block" id="Dataset.train_loader">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.train_loader">[docs]</a>
+    <span class="k">def</span> <span class="nf">train_loader</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">shuffle_size</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">yield_id</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">write_to</span><span class="o">=</span><span class="kc">None</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
@@ -880,7 +927,10 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
                 <span class="n">shuffle_buffer</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">yield_id</span><span class="p">,</span> <span class="n">write_to</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="Dataset.test_loader"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.test_loader">[docs]</a>    <span class="k">def</span> <span class="nf">test_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">yield_id</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Dataset.test_loader">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.dataset.Dataset.test_loader">[docs]</a>
+    <span class="k">def</span> <span class="nf">test_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">yield_id</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Generator for serving batches of test data for leave-one-out evaluation. Data is loaded from test_file_full.</span>
 
 <span class="sd">        Args:</span>
@@ -898,7 +948,9 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
                 <span class="n">test_batch_data</span> <span class="o">=</span> <span class="n">test_full_datafile</span><span class="o">.</span><span class="n">load_data</span><span class="p">(</span>
                     <span class="n">test_batch_idx</span><span class="p">,</span> <span class="n">by_user</span><span class="o">=</span><span class="kc">False</span>
                 <span class="p">)</span>
-                <span class="k">yield</span> <span class="n">prepare_batch</span><span class="p">(</span><span class="n">test_batch_data</span><span class="p">)</span></div></div>
+                <span class="k">yield</span> <span class="n">prepare_batch</span><span class="p">(</span><span class="n">test_batch_data</span><span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -939,7 +991,7 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -963,8 +1015,8 @@ <h1>Source code for recommenders.models.ncf.dataset</h1><div class="highlight"><
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/ncf/ncf_singlenode.html b/docs/_build/html/_modules/recommenders/models/ncf/ncf_singlenode.html
index fe463a0a4..46017d555 100644
--- a/docs/_build/html/_modules/recommenders/models/ncf/ncf_singlenode.html
+++ b/docs/_build/html/_modules/recommenders/models/ncf/ncf_singlenode.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
-    <script src="../../../../_static/jquery.js"></script>
-    <script src="../../../../_static/underscore.js"></script>
-    <script src="../../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../../_static/doctools.js"></script>
-    <script src="../../../../_static/clipboard.min.js"></script>
-    <script src="../../../../_static/copybutton.js"></script>
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/ncf/ncf_singlenode';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/ncf/ncf_singlenode.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,7 +352,9 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
 <span class="n">MODEL_CHECKPOINT</span> <span class="o">=</span> <span class="s2">&quot;model.ckpt&quot;</span>
 
 
-<div class="viewcode-block" id="NCF"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF">[docs]</a><span class="k">class</span> <span class="nc">NCF</span><span class="p">:</span>
+<div class="viewcode-block" id="NCF">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF">[docs]</a>
+<span class="k">class</span> <span class="nc">NCF</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Neural Collaborative Filtering (NCF) implementation</span>
 
 <span class="sd">    :Citation:</span>
@@ -352,7 +364,9 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
 <span class="sd">        Conferences Steering Committee, 2017. Link: https://www.comp.nus.edu.sg/~xiangnan/papers/ncf.pdf</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NCF.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="NCF.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">n_users</span><span class="p">,</span>
         <span class="n">n_items</span><span class="p">,</span>
@@ -418,6 +432,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
         <span class="c1"># parameters initialization</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span></div>
 
+
     <span class="k">def</span> <span class="nf">_create_model</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
     <span class="p">):</span>
@@ -598,7 +613,9 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
                 <span class="n">learning_rate</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">learning_rate</span>
             <span class="p">)</span><span class="o">.</span><span class="n">minimize</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">loss</span><span class="p">)</span>
 
-<div class="viewcode-block" id="NCF.save"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.save">[docs]</a>    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dir_name</span><span class="p">):</span>
+<div class="viewcode-block" id="NCF.save">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.save">[docs]</a>
+    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dir_name</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Save model parameters in `dir_name`</span>
 
 <span class="sd">        Args:</span>
@@ -611,7 +628,10 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
         <span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>
         <span class="n">saver</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">MODEL_CHECKPOINT</span><span class="p">))</span></div>
 
-<div class="viewcode-block" id="NCF.load"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gmf_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">mlp_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">neumf_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">):</span>
+
+<div class="viewcode-block" id="NCF.load">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.load">[docs]</a>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gmf_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">mlp_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">neumf_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load model parameters for further use.</span>
 
 <span class="sd">        GMF model --&gt; load parameters in `gmf_dir`</span>
@@ -650,6 +670,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
         <span class="k">else</span><span class="p">:</span>
             <span class="k">raise</span> <span class="ne">NotImplementedError</span></div>
 
+
     <span class="k">def</span> <span class="nf">_load_neumf</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gmf_dir</span><span class="p">,</span> <span class="n">mlp_dir</span><span class="p">,</span> <span class="n">alpha</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load gmf and mlp model parameters for further use in NeuMF.</span>
 <span class="sd">        NeuMF model --&gt; load parameters in `gmf_dir` and `mlp_dir`</span>
@@ -694,7 +715,9 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">assign_op</span><span class="p">)</span>
 
-<div class="viewcode-block" id="NCF.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<div class="viewcode-block" id="NCF.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit model with training data</span>
 
 <span class="sd">        Args:</span>
@@ -741,7 +764,10 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
                     <span class="o">%</span> <span class="p">(</span><span class="n">epoch_count</span><span class="p">,</span> <span class="n">train_time</span><span class="p">,</span> <span class="nb">sum</span><span class="p">(</span><span class="n">train_loss</span><span class="p">)</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">train_loss</span><span class="p">))</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="NCF.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_input</span><span class="p">,</span> <span class="n">item_input</span><span class="p">,</span> <span class="n">is_list</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="NCF.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.ncf.ncf_singlenode.NCF.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_input</span><span class="p">,</span> <span class="n">item_input</span><span class="p">,</span> <span class="n">is_list</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Predict function of this trained model</span>
 
 <span class="sd">        Args:</span>
@@ -762,6 +788,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
             <span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_predict</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">user_input</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">item_input</span><span class="p">]))</span>
             <span class="k">return</span> <span class="nb">float</span><span class="p">(</span><span class="n">output</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">])</span></div>
 
+
     <span class="k">def</span> <span class="nf">_predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user_input</span><span class="p">,</span> <span class="n">item_input</span><span class="p">):</span>
 
         <span class="c1"># index converting</span>
@@ -776,6 +803,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
 
         <span class="c1"># calculate predicted score</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="p">,</span> <span class="n">feed_dict</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -816,7 +844,7 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -840,8 +868,8 @@ <h1>Source code for recommenders.models.ncf.ncf_singlenode</h1><div class="highl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/io/mind_all_iterator.html b/docs/_build/html/_modules/recommenders/models/newsrec/io/mind_all_iterator.html
index e316c8d78..6f4303693 100644
--- a/docs/_build/html/_modules/recommenders/models/newsrec/io/mind_all_iterator.html
+++ b/docs/_build/html/_modules/recommenders/models/newsrec/io/mind_all_iterator.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="../../../../../_static/tabs.css?v=4c969af8" />
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-  <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
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-    <script src="../../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/io/mind_all_iterator';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/newsrec/io/mind_all_iterator.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;MINDAllIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="MINDAllIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator">[docs]</a><span class="k">class</span> <span class="nc">MINDAllIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDAllIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">MINDAllIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Train data loader for NAML model.</span>
 <span class="sd">    The model require a special type of data format, where each instance contains a label, impresion id, user id,</span>
 <span class="sd">    the candidate news articles and user&#39;s clicked news article. Articles are represented by title words,</span>
@@ -358,7 +370,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
 <span class="sd">        npratio (int): negaive and positive ratio used in negative sampling. -1 means no need of negtive sampling.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="MINDAllIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="MINDAllIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">hparams</span><span class="p">,</span>
         <span class="n">npratio</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
@@ -386,7 +400,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
         <span class="bp">self</span><span class="o">.</span><span class="n">subvert_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_dict</span><span class="p">(</span><span class="n">hparams</span><span class="o">.</span><span class="n">subvertDict_file</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">uid2index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_dict</span><span class="p">(</span><span class="n">hparams</span><span class="o">.</span><span class="n">userDict_file</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.load_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict">[docs]</a>    <span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.load_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load pickled file</span>
 
 <span class="sd">        Args:</span>
@@ -398,7 +415,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
         <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">file_path</span><span class="p">,</span> <span class="s2">&quot;rb&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
             <span class="k">return</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.init_news"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news">[docs]</a>    <span class="k">def</span> <span class="nf">init_news</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.init_news">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_news</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Init news information given news file, such as `news_title_index`, `news_abstract_index`.</span>
 
 <span class="sd">        Args:</span>
@@ -455,7 +475,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
             <span class="k">if</span> <span class="n">subvert</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">subvert_dict</span><span class="p">:</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">news_subvert_index</span><span class="p">[</span><span class="n">news_index</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">subvert_dict</span><span class="p">[</span><span class="n">subvert</span><span class="p">]</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.init_behaviors"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors">[docs]</a>    <span class="k">def</span> <span class="nf">init_behaviors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.init_behaviors">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_behaviors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Init behavior logs given behaviors file.</span>
 
 <span class="sd">        Args:</span>
@@ -488,7 +511,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                 <span class="bp">self</span><span class="o">.</span><span class="n">uindexes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">uindex</span><span class="p">)</span>
                 <span class="n">impr_index</span> <span class="o">+=</span> <span class="mi">1</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one string line into feature values.</span>
 
 <span class="sd">        Args:</span>
@@ -584,7 +610,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                     <span class="n">click_subvert_index</span><span class="p">,</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDAllIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDAllIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from a file.</span>
 
 <span class="sd">        Args:</span>
@@ -673,6 +702,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                     <span class="n">click_subvert_indexes</span> <span class="o">=</span> <span class="p">[]</span>
                     <span class="n">cnt</span> <span class="o">=</span> <span class="mi">0</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -735,7 +765,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
             <span class="s2">&quot;labels&quot;</span><span class="p">:</span> <span class="n">labels</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDAllIterator.load_user_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_user_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDAllIterator.load_user_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_user_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse user data from news file and behavior file.</span>
 
 <span class="sd">        Args:</span>
@@ -785,6 +817,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                 <span class="n">click_vert_indexes</span> <span class="o">=</span> <span class="p">[]</span>
                 <span class="n">click_subvert_indexes</span> <span class="o">=</span> <span class="p">[]</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_user_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">user_indexes</span><span class="p">,</span>
@@ -823,7 +856,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
             <span class="s2">&quot;clicked_subvert_batch&quot;</span><span class="p">:</span> <span class="n">click_subvert_index_batch</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDAllIterator.load_news_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_news_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDAllIterator.load_news_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_news_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse user data from news file.</span>
 
 <span class="sd">        Args:</span>
@@ -864,6 +899,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                 <span class="n">candidate_vert_indexes</span> <span class="o">=</span> <span class="p">[]</span>
                 <span class="n">candidate_subvert_indexes</span> <span class="o">=</span> <span class="p">[]</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_news_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">news_indexes</span><span class="p">,</span>
@@ -903,7 +939,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
             <span class="s2">&quot;candidate_subvert_batch&quot;</span><span class="p">:</span> <span class="n">candidate_subvert_index_batch</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDAllIterator.load_impression_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_impression_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaivors_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDAllIterator.load_impression_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_impression_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaivors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse impression data from behaivors file.</span>
 
 <span class="sd">        Args:</span>
@@ -927,7 +965,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
                 <span class="n">impr_news</span><span class="p">,</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">uindexes</span><span class="p">[</span><span class="n">index</span><span class="p">],</span>
                 <span class="n">impr_label</span><span class="p">,</span>
-            <span class="p">)</span></div></div>
+            <span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -968,7 +1008,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -992,8 +1032,8 @@ <h1>Source code for recommenders.models.newsrec.io.mind_all_iterator</h1><div cl
   </div>
   
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-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/io/mind_iterator.html b/docs/_build/html/_modules/recommenders/models/newsrec/io/mind_iterator.html
index aca856fa6..c9219f759 100644
--- a/docs/_build/html/_modules/recommenders/models/newsrec/io/mind_iterator.html
+++ b/docs/_build/html/_modules/recommenders/models/newsrec/io/mind_iterator.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
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+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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-
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+   </button>
+ `);
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;MINDIterator&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="MINDIterator"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator">[docs]</a><span class="k">class</span> <span class="nc">MINDIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDIterator">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator">[docs]</a>
+<span class="k">class</span> <span class="nc">MINDIterator</span><span class="p">(</span><span class="n">BaseIterator</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Train data loader for NAML model.</span>
 <span class="sd">    The model require a special type of data format, where each instance contains a label, impresion id, user id,</span>
 <span class="sd">    the candidate news articles and user&#39;s clicked news article. Articles are represented by title words,</span>
@@ -357,7 +369,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
 <span class="sd">        npratio (int): negaive and positive ratio used in negative sampling. -1 means no need of negtive sampling.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="MINDIterator.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="MINDIterator.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">hparams</span><span class="p">,</span>
         <span class="n">npratio</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
@@ -382,7 +396,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
         <span class="bp">self</span><span class="o">.</span><span class="n">word_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_dict</span><span class="p">(</span><span class="n">hparams</span><span class="o">.</span><span class="n">wordDict_file</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">uid2index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_dict</span><span class="p">(</span><span class="n">hparams</span><span class="o">.</span><span class="n">userDict_file</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDIterator.load_dict"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict">[docs]</a>    <span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.load_dict">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;load pickle file</span>
 
 <span class="sd">        Args:</span>
@@ -394,7 +411,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
         <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">file_path</span><span class="p">,</span> <span class="s2">&quot;rb&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
             <span class="k">return</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDIterator.init_news"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news">[docs]</a>    <span class="k">def</span> <span class="nf">init_news</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.init_news">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_news</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;init news information given news file, such as news_title_index and nid2index.</span>
 <span class="sd">        Args:</span>
 <span class="sd">            news_file: path of news file</span>
@@ -428,7 +448,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                         <span class="n">title</span><span class="p">[</span><span class="n">word_index</span><span class="p">]</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
                     <span class="p">]</span></div>
 
-<div class="viewcode-block" id="MINDIterator.init_behaviors"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors">[docs]</a>    <span class="k">def</span> <span class="nf">init_behaviors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.init_behaviors">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_behaviors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;init behavior logs given behaviors file.</span>
 
 <span class="sd">        Args:</span>
@@ -461,7 +484,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="bp">self</span><span class="o">.</span><span class="n">uindexes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">uindex</span><span class="p">)</span>
                 <span class="n">impr_index</span> <span class="o">+=</span> <span class="mi">1</span></div>
 
-<div class="viewcode-block" id="MINDIterator.parser_one_line"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line">[docs]</a>    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.parser_one_line">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line">[docs]</a>
+    <span class="k">def</span> <span class="nf">parser_one_line</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse one behavior sample into feature values.</span>
 <span class="sd">        if npratio is larger than 0, return negtive sampled result.</span>
 
@@ -528,7 +554,10 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                     <span class="n">click_title_index</span><span class="p">,</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="MINDIterator.load_data_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MINDIterator.load_data_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_data_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse data from news file and behavior file.</span>
 
 <span class="sd">        Args:</span>
@@ -596,6 +625,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="n">click_title_indexes</span><span class="p">,</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">label_list</span><span class="p">,</span>
@@ -632,7 +662,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
             <span class="s2">&quot;labels&quot;</span><span class="p">:</span> <span class="n">labels</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDIterator.load_user_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_user_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDIterator.load_user_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_user_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">,</span> <span class="n">behavior_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse user data from news file and behavior file.</span>
 
 <span class="sd">        Args:</span>
@@ -678,6 +710,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="n">click_title_indexes</span><span class="p">,</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_user_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">user_indexes</span><span class="p">,</span>
@@ -704,7 +737,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
             <span class="s2">&quot;clicked_title_batch&quot;</span><span class="p">:</span> <span class="n">click_title_index_batch</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDIterator.load_news_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_news_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDIterator.load_news_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_news_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse user data from news file.</span>
 
 <span class="sd">        Args:</span>
@@ -740,6 +775,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="n">candidate_title_indexes</span><span class="p">,</span>
             <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_convert_news_data</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">news_indexes</span><span class="p">,</span>
@@ -765,7 +801,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
             <span class="s2">&quot;candidate_title_batch&quot;</span><span class="p">:</span> <span class="n">candidate_title_index_batch</span><span class="p">,</span>
         <span class="p">}</span>
 
-<div class="viewcode-block" id="MINDIterator.load_impression_from_file"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file">[docs]</a>    <span class="k">def</span> <span class="nf">load_impression_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaivors_file</span><span class="p">):</span>
+<div class="viewcode-block" id="MINDIterator.load_impression_from_file">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_impression_from_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">behaivors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Read and parse impression data from behaivors file.</span>
 
 <span class="sd">        Args:</span>
@@ -789,7 +827,9 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
                 <span class="n">impr_news</span><span class="p">,</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">uindexes</span><span class="p">[</span><span class="n">index</span><span class="p">],</span>
                 <span class="n">impr_label</span><span class="p">,</span>
-            <span class="p">)</span></div></div>
+            <span class="p">)</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -830,7 +870,7 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -854,8 +894,8 @@ <h1>Source code for recommenders.models.newsrec.io.mind_iterator</h1><div class=
   </div>
   
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-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/models/base_model.html b/docs/_build/html/_modules/recommenders/models/newsrec/models/base_model.html
index 4c61121ba..3f8a06bb1 100644
--- a/docs/_build/html/_modules/recommenders/models/newsrec/models/base_model.html
+++ b/docs/_build/html/_modules/recommenders/models/newsrec/models/base_model.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/models/base_model';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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 </form></div>
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@@ -167,7 +166,18 @@
   
   
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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@@ -343,7 +353,9 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;BaseModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="BaseModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel">[docs]</a><span class="k">class</span> <span class="nc">BaseModel</span><span class="p">:</span>
+<div class="viewcode-block" id="BaseModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseModel</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Basic class of models</span>
 
 <span class="sd">    Attributes:</span>
@@ -354,7 +366,9 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 <span class="sd">        seed (int): Random seed.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="BaseModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="BaseModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">hparams</span><span class="p">,</span>
         <span class="n">iterator_creator</span><span class="p">,</span>
@@ -404,6 +418,7 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
         <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">loss</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">loss</span><span class="p">,</span> <span class="n">optimizer</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">train_optimizer</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_init_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load pre-trained embeddings as a constant tensor.</span>
 
@@ -475,7 +490,9 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
             <span class="p">)</span>
         <span class="k">return</span> <span class="n">pred</span>
 
-<div class="viewcode-block" id="BaseModel.train"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.train">[docs]</a>    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_batch_data</span><span class="p">):</span>
+<div class="viewcode-block" id="BaseModel.train">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_batch_data</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Go through the optimization step once with training data in feed_dict.</span>
 
 <span class="sd">        Args:</span>
@@ -489,7 +506,10 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
         <span class="n">rslt</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">train_on_batch</span><span class="p">(</span><span class="n">train_input</span><span class="p">,</span> <span class="n">train_label</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">rslt</span></div>
 
-<div class="viewcode-block" id="BaseModel.eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.eval">[docs]</a>    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">eval_batch_data</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">eval_batch_data</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the data in feed_dict with current model.</span>
 
 <span class="sd">        Args:</span>
@@ -506,7 +526,10 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
         <span class="k">return</span> <span class="n">pred_rslt</span><span class="p">,</span> <span class="n">eval_label</span><span class="p">,</span> <span class="n">imp_index</span></div>
 
-<div class="viewcode-block" id="BaseModel.fit"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span>
+
+<div class="viewcode-block" id="BaseModel.fit">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">train_news_file</span><span class="p">,</span>
         <span class="n">train_behaviors_file</span><span class="p">,</span>
@@ -609,7 +632,10 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="BaseModel.group_labels"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.group_labels">[docs]</a>    <span class="k">def</span> <span class="nf">group_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">group_keys</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.group_labels">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.group_labels">[docs]</a>
+    <span class="k">def</span> <span class="nf">group_labels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">preds</span><span class="p">,</span> <span class="n">group_keys</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Devide labels and preds into several group according to values in group keys.</span>
 
 <span class="sd">        Args:</span>
@@ -642,7 +668,10 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
         <span class="k">return</span> <span class="n">all_keys</span><span class="p">,</span> <span class="n">all_labels</span><span class="p">,</span> <span class="n">all_preds</span></div>
 
-<div class="viewcode-block" id="BaseModel.run_eval"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.run_eval">[docs]</a>    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_filename</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
+
+<div class="viewcode-block" id="BaseModel.run_eval">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.base_model.BaseModel.run_eval">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">news_filename</span><span class="p">,</span> <span class="n">behaviors_file</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Evaluate the given file and returns some evaluation metrics.</span>
 
 <span class="sd">        Args:</span>
@@ -663,6 +692,7 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
         <span class="n">res</span> <span class="o">=</span> <span class="n">cal_metric</span><span class="p">(</span><span class="n">group_labels</span><span class="p">,</span> <span class="n">group_preds</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hparams</span><span class="o">.</span><span class="n">metrics</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">res</span></div>
 
+
     <span class="k">def</span> <span class="nf">user</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_user_input</span><span class="p">):</span>
         <span class="n">user_input</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_user_feature_from_iter</span><span class="p">(</span><span class="n">batch_user_input</span><span class="p">)</span>
         <span class="n">user_vec</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">userencoder</span><span class="o">.</span><span class="n">predict_on_batch</span><span class="p">(</span><span class="n">user_input</span><span class="p">)</span>
@@ -751,6 +781,7 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
             <span class="n">group_preds</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pred</span><span class="p">)</span>
 
         <span class="k">return</span> <span class="n">group_impr_indexes</span><span class="p">,</span> <span class="n">group_labels</span><span class="p">,</span> <span class="n">group_preds</span></div>
+
 </pre></div>
 
                 </article>
@@ -791,7 +822,7 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -815,8 +846,8 @@ <h1>Source code for recommenders.models.newsrec.models.base_model</h1><div class
   </div>
   
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   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/models/layers.html b/docs/_build/html/_modules/recommenders/models/newsrec/models/layers.html
index 924ca6e50..d9dd4d11a 100644
--- a/docs/_build/html/_modules/recommenders/models/newsrec/models/layers.html
+++ b/docs/_build/html/_modules/recommenders/models/newsrec/models/layers.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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@@ -18,54 +17,58 @@
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+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css" />
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-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <div id="pst-scroll-pixel-helper"></div>
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     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -335,14 +345,18 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="kn">from</span> <span class="nn">tensorflow.compat.v1.keras</span> <span class="kn">import</span> <span class="n">backend</span> <span class="k">as</span> <span class="n">K</span>
 
 
-<div class="viewcode-block" id="AttLayer2"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2">[docs]</a><span class="k">class</span> <span class="nc">AttLayer2</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="AttLayer2">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2">[docs]</a>
+<span class="k">class</span> <span class="nc">AttLayer2</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Soft alignment attention implement.</span>
 
 <span class="sd">    Attributes:</span>
 <span class="sd">        dim (int): attention hidden dim</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="AttLayer2.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="AttLayer2.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for AttLayer2.</span>
 
 <span class="sd">        Args:</span>
@@ -353,7 +367,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="bp">self</span><span class="o">.</span><span class="n">seed</span> <span class="o">=</span> <span class="n">seed</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">AttLayer2</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AttLayer2.build"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.build">[docs]</a>    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AttLayer2.build">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.build">[docs]</a>
+    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization for variables in AttLayer2</span>
 <span class="sd">        There are there variables in AttLayer2, i.e. W, b and q.</span>
 
@@ -383,7 +400,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="p">)</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">AttLayer2</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">build</span><span class="p">(</span><span class="n">input_shape</span><span class="p">)</span>  <span class="c1"># be sure you call this somewhere!</span></div>
 
-<div class="viewcode-block" id="AttLayer2.call"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AttLayer2.call">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Core implementation of soft attention.</span>
 
 <span class="sd">        Args:</span>
@@ -411,7 +431,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="n">weighted_input</span> <span class="o">=</span> <span class="n">inputs</span> <span class="o">*</span> <span class="n">attention_weight</span>
         <span class="k">return</span> <span class="n">K</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">weighted_input</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AttLayer2.compute_mask"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask">[docs]</a>    <span class="k">def</span> <span class="nf">compute_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">input</span><span class="p">,</span> <span class="n">input_mask</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AttLayer2.compute_mask">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">input</span><span class="p">,</span> <span class="n">input_mask</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compte output mask value.</span>
 
 <span class="sd">        Args:</span>
@@ -423,7 +446,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="kc">None</span></div>
 
-<div class="viewcode-block" id="AttLayer2.compute_output_shape"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape">[docs]</a>    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AttLayer2.compute_output_shape">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute shape of output tensor.</span>
 
 <span class="sd">        Args:</span>
@@ -432,10 +458,14 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="sd">        Returns:</span>
 <span class="sd">            tuple: shape of output tensor.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">input_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span></div></div>
+        <span class="k">return</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">input_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span></div>
+</div>
 
 
-<div class="viewcode-block" id="SelfAttention"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention">[docs]</a><span class="k">class</span> <span class="nc">SelfAttention</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention">[docs]</a>
+<span class="k">class</span> <span class="nc">SelfAttention</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Multi-head self attention implement.</span>
 
 <span class="sd">    Args:</span>
@@ -447,7 +477,9 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="sd">        object: Weighted sum after attention.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SelfAttention.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">multiheads</span><span class="p">,</span> <span class="n">head_dim</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mask_right</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="SelfAttention.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">multiheads</span><span class="p">,</span> <span class="n">head_dim</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mask_right</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for AttLayer2.</span>
 
 <span class="sd">        Args:</span>
@@ -463,7 +495,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="bp">self</span><span class="o">.</span><span class="n">seed</span> <span class="o">=</span> <span class="n">seed</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">SelfAttention</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SelfAttention.compute_output_shape"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape">[docs]</a>    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.compute_output_shape">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute shape of output tensor.</span>
 
 <span class="sd">        Returns:</span>
@@ -472,7 +507,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 
         <span class="k">return</span> <span class="p">(</span><span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_dim</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SelfAttention.build"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.build">[docs]</a>    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.build">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.build">[docs]</a>
+    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization for variables in SelfAttention.</span>
 <span class="sd">        There are three variables in SelfAttention, i.e. WQ, WK ans WV.</span>
 <span class="sd">        WQ is used for linear transformation of query.</span>
@@ -503,7 +541,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="p">)</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">SelfAttention</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">build</span><span class="p">(</span><span class="n">input_shape</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SelfAttention.Mask"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.Mask">[docs]</a>    <span class="k">def</span> <span class="nf">Mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;add&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.Mask">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.Mask">[docs]</a>
+    <span class="k">def</span> <span class="nf">Mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;add&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Mask operation used in multi-head self attention</span>
 
 <span class="sd">        Args:</span>
@@ -528,7 +569,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
             <span class="k">elif</span> <span class="n">mode</span> <span class="o">==</span> <span class="s2">&quot;add&quot;</span><span class="p">:</span>
                 <span class="k">return</span> <span class="n">inputs</span> <span class="o">-</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">mask</span><span class="p">)</span> <span class="o">*</span> <span class="mf">1e12</span></div>
 
-<div class="viewcode-block" id="SelfAttention.call"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">QKVs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.call">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">QKVs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Core logic of multi-head self attention.</span>
 
 <span class="sd">        Args:</span>
@@ -584,7 +628,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="n">O_seq</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">Mask</span><span class="p">(</span><span class="n">O_seq</span><span class="p">,</span> <span class="n">Q_len</span><span class="p">,</span> <span class="s2">&quot;mul&quot;</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">O_seq</span></div>
 
-<div class="viewcode-block" id="SelfAttention.get_config"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.get_config">[docs]</a>    <span class="k">def</span> <span class="nf">get_config</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SelfAttention.get_config">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.SelfAttention.get_config">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_config</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;add multiheads, multiheads and mask_right into layer config.</span>
 
 <span class="sd">        Returns:</span>
@@ -598,10 +645,14 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
                 <span class="s2">&quot;mask_right&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_right</span><span class="p">,</span>
             <span class="p">}</span>
         <span class="p">)</span>
-        <span class="k">return</span> <span class="n">config</span></div></div>
+        <span class="k">return</span> <span class="n">config</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="PersonalizedAttentivePooling"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling">[docs]</a><span class="k">def</span> <span class="nf">PersonalizedAttentivePooling</span><span class="p">(</span><span class="n">dim1</span><span class="p">,</span> <span class="n">dim2</span><span class="p">,</span> <span class="n">dim3</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<div class="viewcode-block" id="PersonalizedAttentivePooling">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling">[docs]</a>
+<span class="k">def</span> <span class="nf">PersonalizedAttentivePooling</span><span class="p">(</span><span class="n">dim1</span><span class="p">,</span> <span class="n">dim2</span><span class="p">,</span> <span class="n">dim3</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Soft alignment attention implement.</span>
 
 <span class="sd">    Attributes:</span>
@@ -630,7 +681,10 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
     <span class="k">return</span> <span class="n">model</span></div>
 
 
-<div class="viewcode-block" id="ComputeMasking"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking">[docs]</a><span class="k">class</span> <span class="nc">ComputeMasking</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+
+<div class="viewcode-block" id="ComputeMasking">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking">[docs]</a>
+<span class="k">class</span> <span class="nc">ComputeMasking</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Compute if inputs contains zero value.</span>
 
 <span class="sd">    Returns:</span>
@@ -640,7 +694,9 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">ComputeMasking</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
 
-<div class="viewcode-block" id="ComputeMasking.call"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="ComputeMasking.call">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call method for ComputeMasking.</span>
 
 <span class="sd">        Args:</span>
@@ -652,11 +708,18 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
         <span class="n">mask</span> <span class="o">=</span> <span class="n">K</span><span class="o">.</span><span class="n">not_equal</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">K</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">K</span><span class="o">.</span><span class="n">floatx</span><span class="p">())</span></div>
 
-<div class="viewcode-block" id="ComputeMasking.compute_output_shape"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape">[docs]</a>    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
-        <span class="k">return</span> <span class="n">input_shape</span></div></div>
+
+<div class="viewcode-block" id="ComputeMasking.compute_output_shape">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">input_shape</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="OverwriteMasking"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking">[docs]</a><span class="k">class</span> <span class="nc">OverwriteMasking</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="OverwriteMasking">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking">[docs]</a>
+<span class="k">class</span> <span class="nc">OverwriteMasking</span><span class="p">(</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Set values at specific positions to zero.</span>
 
 <span class="sd">    Args:</span>
@@ -669,10 +732,15 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">OverwriteMasking</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
 
-<div class="viewcode-block" id="OverwriteMasking.build"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.build">[docs]</a>    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+<div class="viewcode-block" id="OverwriteMasking.build">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.build">[docs]</a>
+    <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
         <span class="nb">super</span><span class="p">(</span><span class="n">OverwriteMasking</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">build</span><span class="p">(</span><span class="n">input_shape</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="OverwriteMasking.call"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="OverwriteMasking.call">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call method for OverwriteMasking.</span>
 
 <span class="sd">        Args:</span>
@@ -683,8 +751,13 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">inputs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">K</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">inputs</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span></div>
 
-<div class="viewcode-block" id="OverwriteMasking.compute_output_shape"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape">[docs]</a>    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
-        <span class="k">return</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span></div></div>
+
+<div class="viewcode-block" id="OverwriteMasking.compute_output_shape">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_output_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_shape</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -725,7 +798,7 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -749,8 +822,8 @@ <h1>Source code for recommenders.models.newsrec.models.layers</h1><div class="hi
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/models/lstur.html b/docs/_build/html/_modules/recommenders/models/newsrec/models/lstur.html
index b0d7a3457..e3c6d11d4 100644
--- a/docs/_build/html/_modules/recommenders/models/newsrec/models/lstur.html
+++ b/docs/_build/html/_modules/recommenders/models/newsrec/models/lstur.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
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+    <link rel="stylesheet" type="text/css" href="../../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
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-    <script src="../../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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 const thebe_selector_input = "pre"
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/models/lstur';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/newsrec/models/lstur.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;LSTURModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="LSTURModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.lstur.LSTURModel">[docs]</a><span class="k">class</span> <span class="nc">LSTURModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="LSTURModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.lstur.LSTURModel">[docs]</a>
+<span class="k">class</span> <span class="nc">LSTURModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;LSTUR model(Neural News Recommendation with Multi-Head Self-Attention)</span>
 
 <span class="sd">    Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie:</span>
@@ -354,7 +366,9 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
 <span class="sd">        hparam (object): Global hyper-parameters.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LSTURModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.lstur.LSTURModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="LSTURModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.lstur.LSTURModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for LSTUR.</span>
 <span class="sd">        Compared with the BaseModel, LSTUR need word embedding.</span>
 <span class="sd">        After creating word embedding matrix, BaseModel&#39;s __init__ method will be called.</span>
@@ -370,6 +384,7 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_input_label_from_iter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_data</span><span class="p">):</span>
         <span class="n">input_feat</span> <span class="o">=</span> <span class="p">[</span>
             <span class="n">batch_data</span><span class="p">[</span><span class="s2">&quot;user_index_batch&quot;</span><span class="p">],</span>
@@ -538,6 +553,7 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
         <span class="p">)</span>
 
         <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">scorer</span></div>
+
 </pre></div>
 
                 </article>
@@ -578,7 +594,7 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -602,8 +618,8 @@ <h1>Source code for recommenders.models.newsrec.models.lstur</h1><div class="hig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/models/naml.html b/docs/_build/html/_modules/recommenders/models/newsrec/models/naml.html
index edaf60d73..6bb4af5ad 100644
--- a/docs/_build/html/_modules/recommenders/models/newsrec/models/naml.html
+++ b/docs/_build/html/_modules/recommenders/models/newsrec/models/naml.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css" />
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+
+    <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/models/naml';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/newsrec/models/naml.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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-
   
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   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
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-
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
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@@ -167,7 +166,18 @@
   
   
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NAMLModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NAMLModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.naml.NAMLModel">[docs]</a><span class="k">class</span> <span class="nc">NAMLModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="NAMLModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.naml.NAMLModel">[docs]</a>
+<span class="k">class</span> <span class="nc">NAMLModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NAML model(Neural News Recommendation with Attentive Multi-View Learning)</span>
 
 <span class="sd">    Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie,</span>
@@ -351,7 +363,9 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
 <span class="sd">        hparam (object): Global hyper-parameters.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NAMLModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.naml.NAMLModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="NAMLModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.naml.NAMLModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for NAML.</span>
 <span class="sd">        Compared with the BaseModel, NAML need word embedding.</span>
 <span class="sd">        After creating word embedding matrix, BaseModel&#39;s __init__ method will be called.</span>
@@ -367,6 +381,7 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_input_label_from_iter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_data</span><span class="p">):</span>
         <span class="n">input_feat</span> <span class="o">=</span> <span class="p">[</span>
             <span class="n">batch_data</span><span class="p">[</span><span class="s2">&quot;clicked_title_batch&quot;</span><span class="p">],</span>
@@ -722,6 +737,7 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
         <span class="p">)</span>
 
         <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">scorer</span></div>
+
 </pre></div>
 
                 </article>
@@ -762,7 +778,7 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -786,8 +802,8 @@ <h1>Source code for recommenders.models.newsrec.models.naml</h1><div class="high
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diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/models/npa.html b/docs/_build/html/_modules/recommenders/models/newsrec/models/npa.html
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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 </form></div>
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NPAModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NPAModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.npa.NPAModel">[docs]</a><span class="k">class</span> <span class="nc">NPAModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="NPAModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.npa.NPAModel">[docs]</a>
+<span class="k">class</span> <span class="nc">NPAModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NPA model(Neural News Recommendation with Attentive Multi-View Learning)</span>
 
 <span class="sd">    Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie:</span>
@@ -350,7 +362,9 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
 <span class="sd">        hparam (object): Global hyper-parameters.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NPAModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.npa.NPAModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="NPAModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.npa.NPAModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialization steps for MANL.</span>
 <span class="sd">        Compared with the BaseModel, NPA need word embedding.</span>
 <span class="sd">        After creating word embedding matrix, BaseModel&#39;s __init__ method will be called.</span>
@@ -366,6 +380,7 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
 
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">hparams</span><span class="p">,</span> <span class="n">iterator_creator</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_input_label_from_iter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_data</span><span class="p">):</span>
         <span class="n">input_feat</span> <span class="o">=</span> <span class="p">[</span>
             <span class="n">batch_data</span><span class="p">[</span><span class="s2">&quot;user_index_batch&quot;</span><span class="p">],</span>
@@ -545,6 +560,7 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
         <span class="p">)</span>
 
         <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">scorer</span></div>
+
 </pre></div>
 
                 </article>
@@ -585,7 +601,7 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -609,8 +625,8 @@ <h1>Source code for recommenders.models.newsrec.models.npa</h1><div class="highl
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/models/nrms.html b/docs/_build/html/_modules/recommenders/models/newsrec/models/nrms.html
index 850a11a33..9043fb7ce 100644
--- a/docs/_build/html/_modules/recommenders/models/newsrec/models/nrms.html
+++ b/docs/_build/html/_modules/recommenders/models/newsrec/models/nrms.html
@@ -1,9 +1,8 @@
 
-
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     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../../_static/togglebutton.js"></script>
+    <script src="../../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../../_static/design-tabs.js"></script>
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-    <script async="async" src="../../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/newsrec/models/nrms';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/newsrec/models/nrms.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../../genindex.html" />
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@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;NRMSModel&quot;</span><span class="p">]</span>
 
 
-<div class="viewcode-block" id="NRMSModel"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.nrms.NRMSModel">[docs]</a><span class="k">class</span> <span class="nc">NRMSModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
+<div class="viewcode-block" id="NRMSModel">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.nrms.NRMSModel">[docs]</a>
+<span class="k">class</span> <span class="nc">NRMSModel</span><span class="p">(</span><span class="n">BaseModel</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;NRMS model(Neural News Recommendation with Multi-Head Self-Attention)</span>
 
 <span class="sd">    Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang,and Xing Xie, &quot;Neural News</span>
@@ -352,7 +364,9 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
 <span class="sd">        hparam (object): Global hyper-parameters.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="NRMSModel.__init__"><a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.nrms.NRMSModel.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="NRMSModel.__init__">
+<a class="viewcode-back" href="../../../../../models.html#recommenders.models.newsrec.models.nrms.NRMSModel.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">hparams</span><span class="p">,</span>
         <span class="n">iterator_creator</span><span class="p">,</span>
@@ -375,6 +389,7 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
             <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">,</span>
         <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_input_label_from_iter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_data</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;get input and labels for trainning from iterator</span>
 
@@ -519,6 +534,7 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
         <span class="n">scorer</span> <span class="o">=</span> <span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">([</span><span class="n">his_input_title</span><span class="p">,</span> <span class="n">pred_input_title_one</span><span class="p">],</span> <span class="n">pred_one</span><span class="p">)</span>
 
         <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">scorer</span></div>
+
 </pre></div>
 
                 </article>
@@ -559,7 +575,7 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -583,8 +599,8 @@ <h1>Source code for recommenders.models.newsrec.models.nrms</h1><div class="high
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/newsrec/newsrec_utils.html b/docs/_build/html/_modules/recommenders/models/newsrec/newsrec_utils.html
index 50049ec76..55a1df9f4 100644
--- a/docs/_build/html/_modules/recommenders/models/newsrec/newsrec_utils.html
+++ b/docs/_build/html/_modules/recommenders/models/newsrec/newsrec_utils.html
@@ -1,9 +1,8 @@
 
-
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
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@@ -339,7 +349,9 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
 <span class="kn">import</span> <span class="nn">re</span>
 
 
-<div class="viewcode-block" id="check_type"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.check_type">[docs]</a><span class="k">def</span> <span class="nf">check_type</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
+<div class="viewcode-block" id="check_type">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.check_type">[docs]</a>
+<span class="k">def</span> <span class="nf">check_type</span><span class="p">(</span><span class="n">config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check that the config parameters are the correct type</span>
 
 <span class="sd">    Args:</span>
@@ -407,7 +419,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
             <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Parameters </span><span class="si">{0}</span><span class="s2"> must be bool&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">param</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="check_nn_config"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.check_nn_config">[docs]</a><span class="k">def</span> <span class="nf">check_nn_config</span><span class="p">(</span><span class="n">f_config</span><span class="p">):</span>
+
+<div class="viewcode-block" id="check_nn_config">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.check_nn_config">[docs]</a>
+<span class="k">def</span> <span class="nf">check_nn_config</span><span class="p">(</span><span class="n">f_config</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check neural networks configuration.</span>
 
 <span class="sd">    Args:</span>
@@ -532,7 +547,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
     <span class="n">check_type</span><span class="p">(</span><span class="n">f_config</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="create_hparams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.create_hparams">[docs]</a><span class="k">def</span> <span class="nf">create_hparams</span><span class="p">(</span><span class="n">flags</span><span class="p">):</span>
+
+<div class="viewcode-block" id="create_hparams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.create_hparams">[docs]</a>
+<span class="k">def</span> <span class="nf">create_hparams</span><span class="p">(</span><span class="n">flags</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Create the model hyperparameters.</span>
 
 <span class="sd">    Args:</span>
@@ -572,7 +590,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">HParams</span><span class="p">(</span><span class="n">init_dict</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="prepare_hparams"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.prepare_hparams">[docs]</a><span class="k">def</span> <span class="nf">prepare_hparams</span><span class="p">(</span><span class="n">yaml_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="prepare_hparams">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.prepare_hparams">[docs]</a>
+<span class="k">def</span> <span class="nf">prepare_hparams</span><span class="p">(</span><span class="n">yaml_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Prepare the model hyperparameters and check that all have the correct value.</span>
 
 <span class="sd">    Args:</span>
@@ -593,7 +614,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
     <span class="k">return</span> <span class="n">create_hparams</span><span class="p">(</span><span class="n">config</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="word_tokenize"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.word_tokenize">[docs]</a><span class="k">def</span> <span class="nf">word_tokenize</span><span class="p">(</span><span class="n">sent</span><span class="p">):</span>
+
+<div class="viewcode-block" id="word_tokenize">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.word_tokenize">[docs]</a>
+<span class="k">def</span> <span class="nf">word_tokenize</span><span class="p">(</span><span class="n">sent</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Split sentence into word list using regex.</span>
 <span class="sd">    Args:</span>
 <span class="sd">        sent (str): Input sentence</span>
@@ -608,7 +632,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
         <span class="k">return</span> <span class="p">[]</span></div>
 
 
-<div class="viewcode-block" id="newsample"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.newsample">[docs]</a><span class="k">def</span> <span class="nf">newsample</span><span class="p">(</span><span class="n">news</span><span class="p">,</span> <span class="n">ratio</span><span class="p">):</span>
+
+<div class="viewcode-block" id="newsample">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.newsample">[docs]</a>
+<span class="k">def</span> <span class="nf">newsample</span><span class="p">(</span><span class="n">news</span><span class="p">,</span> <span class="n">ratio</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Sample ratio samples from news list.</span>
 <span class="sd">    If length of news is less than ratio, pad zeros.</span>
 
@@ -625,7 +652,10 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
         <span class="k">return</span> <span class="n">random</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">news</span><span class="p">,</span> <span class="n">ratio</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_mind_data_set"><a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.get_mind_data_set">[docs]</a><span class="k">def</span> <span class="nf">get_mind_data_set</span><span class="p">(</span><span class="nb">type</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_mind_data_set">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.newsrec.newsrec_utils.get_mind_data_set">[docs]</a>
+<span class="k">def</span> <span class="nf">get_mind_data_set</span><span class="p">(</span><span class="nb">type</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get MIND dataset address</span>
 
 <span class="sd">    Args:</span>
@@ -659,6 +689,7 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
             <span class="s2">&quot;MINDdemo_dev.zip&quot;</span><span class="p">,</span>
             <span class="s2">&quot;MINDdemo_utils.zip&quot;</span><span class="p">,</span>
         <span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -699,7 +730,7 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -723,8 +754,8 @@ <h1>Source code for recommenders.models.newsrec.newsrec_utils</h1><div class="hi
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/rbm/rbm.html b/docs/_build/html/_modules/recommenders/models/rbm/rbm.html
index a1cdaf81f..0265dd19a 100644
--- a/docs/_build/html/_modules/recommenders/models/rbm/rbm.html
+++ b/docs/_build/html/_modules/recommenders/models/rbm/rbm.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
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 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,10 +349,14 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 <span class="n">log</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="RBM"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM">[docs]</a><span class="k">class</span> <span class="nc">RBM</span><span class="p">:</span>
+<div class="viewcode-block" id="RBM">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM">[docs]</a>
+<span class="k">class</span> <span class="nc">RBM</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Restricted  Boltzmann Machine&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="RBM.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="RBM.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">possible_ratings</span><span class="p">,</span>
         <span class="n">visible_units</span><span class="p">,</span>
@@ -460,7 +474,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">Session</span><span class="p">(</span><span class="n">config</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">config_gpu</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">init_graph</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.binomial_sampling"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.binomial_sampling">[docs]</a>    <span class="k">def</span> <span class="nf">binomial_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pr</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.binomial_sampling">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.binomial_sampling">[docs]</a>
+    <span class="k">def</span> <span class="nf">binomial_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pr</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Binomial sampling of hidden units activations using a rejection method.</span>
 
 <span class="sd">        Basic mechanics:</span>
@@ -489,7 +506,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">h_sampled</span></div>
 
-<div class="viewcode-block" id="RBM.multinomial_sampling"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.multinomial_sampling">[docs]</a>    <span class="k">def</span> <span class="nf">multinomial_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pr</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.multinomial_sampling">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.multinomial_sampling">[docs]</a>
+    <span class="k">def</span> <span class="nf">multinomial_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pr</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Multinomial Sampling of ratings</span>
 
 <span class="sd">        Basic mechanics:</span>
@@ -527,7 +547,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">v_samp</span></div>
 
-<div class="viewcode-block" id="RBM.multinomial_distribution"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.multinomial_distribution">[docs]</a>    <span class="k">def</span> <span class="nf">multinomial_distribution</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">phi</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.multinomial_distribution">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.multinomial_distribution">[docs]</a>
+    <span class="k">def</span> <span class="nf">multinomial_distribution</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">phi</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Probability that unit v has value l given phi: P(v=l|phi)</span>
 
 <span class="sd">        Args:</span>
@@ -551,7 +574,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="n">prob</span><span class="p">,</span> <span class="n">perm</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span></div>
 
-<div class="viewcode-block" id="RBM.free_energy"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.free_energy">[docs]</a>    <span class="k">def</span> <span class="nf">free_energy</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.free_energy">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.free_energy">[docs]</a>
+    <span class="k">def</span> <span class="nf">free_energy</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Free energy of the visible units given the hidden units. Since the sum is over the hidden units&#39;</span>
 <span class="sd">        states, the functional form of the visible units Free energy is the same as the one for the binary model.</span>
 
@@ -571,13 +597,19 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">F</span></div>
 
-<div class="viewcode-block" id="RBM.placeholder"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.placeholder">[docs]</a>    <span class="k">def</span> <span class="nf">placeholder</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.placeholder">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.placeholder">[docs]</a>
+    <span class="k">def</span> <span class="nf">placeholder</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the placeholders for the visible units&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">vu</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span>
             <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_visible</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float32&quot;</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.init_parameters"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_parameters">[docs]</a>    <span class="k">def</span> <span class="nf">init_parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.init_parameters">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_parameters">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the parameters of the model.</span>
 
 <span class="sd">        This is a single layer model with two biases. So we have a rectangular matrix w_{ij} and</span>
@@ -618,7 +650,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
                 <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float32&quot;</span><span class="p">,</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.sample_hidden_units"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.sample_hidden_units">[docs]</a>    <span class="k">def</span> <span class="nf">sample_hidden_units</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vv</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.sample_hidden_units">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.sample_hidden_units">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample_hidden_units</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vv</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Sampling: In RBM we use Contrastive divergence to sample the parameter space. In order to do that we need</span>
 <span class="sd">        to initialize the two conditional probabilities:</span>
 
@@ -650,7 +685,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">phv</span><span class="p">,</span> <span class="n">h_</span></div>
 
-<div class="viewcode-block" id="RBM.sample_visible_units"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.sample_visible_units">[docs]</a>    <span class="k">def</span> <span class="nf">sample_visible_units</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">h</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.sample_visible_units">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.sample_visible_units">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample_visible_units</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">h</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Sample the visible units given the hiddens. This can be thought of as a Backward pass in a FFN</span>
 <span class="sd">        (negative phase). Each visible unit can take values in [1,rating], while the zero is reserved</span>
 <span class="sd">        for missing data; as such the value of the hidden unit is sampled from a multinomial distribution.</span>
@@ -695,7 +733,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">pvh</span><span class="p">,</span> <span class="n">v_</span></div>
 
-<div class="viewcode-block" id="RBM.gibbs_sampling"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.gibbs_sampling">[docs]</a>    <span class="k">def</span> <span class="nf">gibbs_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.gibbs_sampling">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.gibbs_sampling">[docs]</a>
+    <span class="k">def</span> <span class="nf">gibbs_sampling</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Gibbs sampling: Determines an estimate of the model configuration via sampling. In the binary</span>
 <span class="sd">        RBM we need to impose that unseen movies stay as such, i.e. the sampling phase should not modify</span>
 <span class="sd">        the elements where v=0.</span>
@@ -723,7 +764,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
                 <span class="n">_</span><span class="p">,</span> <span class="n">h_k</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_hidden_units</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">v_k</span><span class="p">)</span>
                 <span class="n">_</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">v_k</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_visible_units</span><span class="p">(</span><span class="n">h_k</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.losses"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.losses">[docs]</a>    <span class="k">def</span> <span class="nf">losses</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vv</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.losses">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.losses">[docs]</a>
+    <span class="k">def</span> <span class="nf">losses</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vv</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate contrastive divergence, which is the difference between</span>
 <span class="sd">        the free energy clamped on the data (v) and the model Free energy (v_k).</span>
 
@@ -739,7 +783,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">obj</span></div>
 
-<div class="viewcode-block" id="RBM.gibbs_protocol"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.gibbs_protocol">[docs]</a>    <span class="k">def</span> <span class="nf">gibbs_protocol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.gibbs_protocol">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.gibbs_protocol">[docs]</a>
+    <span class="k">def</span> <span class="nf">gibbs_protocol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Gibbs protocol.</span>
 
 <span class="sd">        Basic mechanics:</span>
@@ -770,7 +817,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
             <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">debug</span><span class="p">:</span>
                 <span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;percentage of epochs covered so far </span><span class="si">%f</span><span class="s2">2&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="n">epoch_percentage</span><span class="p">))</span></div>
 
-<div class="viewcode-block" id="RBM.data_pipeline"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.data_pipeline">[docs]</a>    <span class="k">def</span> <span class="nf">data_pipeline</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.data_pipeline">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.data_pipeline">[docs]</a>
+    <span class="k">def</span> <span class="nf">data_pipeline</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Define the data pipeline&quot;&quot;&quot;</span>
 
         <span class="c1"># placeholder for the batch_size</span>
@@ -789,7 +839,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">iter</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">make_initializable_iterator</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">v</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">iter</span><span class="o">.</span><span class="n">get_next</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="RBM.init_metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_metrics">[docs]</a>    <span class="k">def</span> <span class="nf">init_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.init_metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_metrics">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize metrics&quot;&quot;&quot;</span>
 
         <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">with_metrics</span><span class="p">:</span>  <span class="c1"># if true (default) returns evaluation metrics</span>
@@ -799,7 +852,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
                 <span class="p">)</span>
             <span class="p">)</span></div>
 
-<div class="viewcode-block" id="RBM.generate_graph"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.generate_graph">[docs]</a>    <span class="k">def</span> <span class="nf">generate_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.generate_graph">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.generate_graph">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Call the different RBM modules to generate the computational graph&quot;&quot;&quot;</span>
 
         <span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Creating the computational graph&quot;</span><span class="p">)</span>
@@ -826,7 +882,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
             <span class="n">loss</span><span class="o">=</span><span class="n">obj</span>
         <span class="p">)</span>  <span class="c1"># Instantiate the optimizer</span></div>
 
-<div class="viewcode-block" id="RBM.init_gpu"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_gpu">[docs]</a>    <span class="k">def</span> <span class="nf">init_gpu</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.init_gpu">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_gpu">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_gpu</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Config GPU memory&quot;&quot;&quot;</span>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">config_gpu</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">ConfigProto</span><span class="p">(</span>
@@ -834,7 +893,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">config_gpu</span><span class="o">.</span><span class="n">gpu_options</span><span class="o">.</span><span class="n">allow_growth</span> <span class="o">=</span> <span class="kc">True</span>  <span class="c1"># dynamic memory allocation</span></div>
 
-<div class="viewcode-block" id="RBM.init_training_session"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_training_session">[docs]</a>    <span class="k">def</span> <span class="nf">init_training_session</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xtr</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.init_training_session">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.init_training_session">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_training_session</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xtr</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the TF session on training data</span>
 
 <span class="sd">        Args:</span>
@@ -848,7 +910,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">tables_initializer</span><span class="p">())</span></div>
 
-<div class="viewcode-block" id="RBM.batch_training"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.batch_training">[docs]</a>    <span class="k">def</span> <span class="nf">batch_training</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">num_minibatches</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.batch_training">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.batch_training">[docs]</a>
+    <span class="k">def</span> <span class="nf">batch_training</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">num_minibatches</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform training over input minibatches. If `self.with_metrics` is False,</span>
 <span class="sd">        no online metrics are evaluated.</span>
 
@@ -875,7 +940,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">epoch_tr_err</span></div>
 
-<div class="viewcode-block" id="RBM.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xtr</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xtr</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit method</span>
 
 <span class="sd">        Training in generative models takes place in two steps:</span>
@@ -918,7 +986,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">rmse_train</span> <span class="o">=</span> <span class="n">rmse_train</span></div>
 
-<div class="viewcode-block" id="RBM.eval_out"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.eval_out">[docs]</a>    <span class="k">def</span> <span class="nf">eval_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.eval_out">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.eval_out">[docs]</a>
+    <span class="k">def</span> <span class="nf">eval_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Implement multinomial sampling from a trained model&quot;&quot;&quot;</span>
 
         <span class="c1"># Sampling</span>
@@ -936,7 +1007,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">v</span><span class="p">,</span> <span class="n">pvh</span></div>
 
-<div class="viewcode-block" id="RBM.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 
 <span class="sd">        Basic mechanics:</span>
@@ -1001,7 +1075,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="RBM.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the inferred ratings. This method is similar to recommend_k_items() with the</span>
 <span class="sd">        exceptions that it returns all the inferred ratings</span>
 
@@ -1027,7 +1104,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">vp</span></div>
 
-<div class="viewcode-block" id="RBM.save"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.save">[docs]</a>    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="o">=</span><span class="s2">&quot;./rbm_model.ckpt&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.save">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.save">[docs]</a>
+    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="o">=</span><span class="s2">&quot;./rbm_model.ckpt&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Save model parameters to `file_path`</span>
 
 <span class="sd">        This function saves the current tensorflow session to a specified path.</span>
@@ -1047,7 +1127,10 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
         <span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>
         <span class="n">saver</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">file_name</span><span class="p">))</span></div>
 
-<div class="viewcode-block" id="RBM.load"><a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="o">=</span><span class="s2">&quot;./rbm_model.ckpt&quot;</span><span class="p">):</span>
+
+<div class="viewcode-block" id="RBM.load">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.rbm.rbm.RBM.load">[docs]</a>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_path</span><span class="o">=</span><span class="s2">&quot;./rbm_model.ckpt&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Load model parameters for further use.</span>
 
 <span class="sd">        This function loads a saved tensorflow session.</span>
@@ -1061,7 +1144,9 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
         <span class="c1"># load pre-trained model</span>
         <span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>
-        <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">file_name</span><span class="p">))</span></div></div>
+        <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sess</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">file_name</span><span class="p">))</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -1102,7 +1187,7 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1126,8 +1211,8 @@ <h1>Source code for recommenders.models.rbm.rbm</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/sar/sar_singlenode.html b/docs/_build/html/_modules/recommenders/models/sar/sar_singlenode.html
index 5ad9ea31c..b203c200c 100644
--- a/docs/_build/html/_modules/recommenders/models/sar/sar_singlenode.html
+++ b/docs/_build/html/_modules/recommenders/models/sar/sar_singlenode.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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@@ -18,54 +17,58 @@
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+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/sar/sar_singlenode';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/sar/sar_singlenode.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -359,7 +369,9 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="SARSingleNode"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode">[docs]</a><span class="k">class</span> <span class="nc">SARSingleNode</span><span class="p">:</span>
+<div class="viewcode-block" id="SARSingleNode">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode">[docs]</a>
+<span class="k">class</span> <span class="nc">SARSingleNode</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Simple Algorithm for Recommendations (SAR) implementation</span>
 
 <span class="sd">    SAR is a fast scalable adaptive algorithm for personalized recommendations based on user transaction history</span>
@@ -368,7 +380,9 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 <span class="sd">    similarity across items, and then 3) combining the estimates to generate a set of recommendations for a given user.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SARSingleNode.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="SARSingleNode.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">col_user</span><span class="o">=</span><span class="n">constants</span><span class="o">.</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
         <span class="n">col_item</span><span class="o">=</span><span class="n">constants</span><span class="o">.</span><span class="n">DEFAULT_ITEM_COL</span><span class="p">,</span>
@@ -461,7 +475,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="bp">self</span><span class="o">.</span><span class="n">index2item</span> <span class="o">=</span> <span class="kc">None</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">index2user</span> <span class="o">=</span> <span class="kc">None</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.compute_affinity_matrix"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix">[docs]</a>    <span class="k">def</span> <span class="nf">compute_affinity_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">rating_col</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.compute_affinity_matrix">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_affinity_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">rating_col</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Affinity matrix.</span>
 
 <span class="sd">        The user-affinity matrix can be constructed by treating the users and items as</span>
@@ -482,7 +499,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
             <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_users</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_items</span><span class="p">),</span>
         <span class="p">)</span><span class="o">.</span><span class="n">tocsr</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.compute_time_decay"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay">[docs]</a>    <span class="k">def</span> <span class="nf">compute_time_decay</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">decay_column</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.compute_time_decay">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_time_decay</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">decay_column</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute time decay on provided column.</span>
 
 <span class="sd">        Args:</span>
@@ -507,7 +527,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="c1"># group time decayed ratings by user-item and take the sum as the user-item affinity</span>
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">col_user</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">col_item</span><span class="p">])</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.compute_cooccurrence_matrix"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix">[docs]</a>    <span class="k">def</span> <span class="nf">compute_cooccurrence_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.compute_cooccurrence_matrix">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute_cooccurrence_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Co-occurrence matrix.</span>
 
 <span class="sd">        The co-occurrence matrix is defined as :math:`C = U^T * U`</span>
@@ -532,7 +555,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 
         <span class="k">return</span> <span class="n">item_cooccurrence</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">col_rating</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.set_index"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index">[docs]</a>    <span class="k">def</span> <span class="nf">set_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.set_index">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">set_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Generate continuous indices for users and items to reduce memory usage.</span>
 
 <span class="sd">        Args:</span>
@@ -551,7 +577,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="bp">self</span><span class="o">.</span><span class="n">n_users</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">user2index</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">n_items</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">index2item</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Main fit method for SAR.</span>
 
 <span class="sd">        Note:</span>
@@ -650,7 +679,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 
         <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Done training&quot;</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.score"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.score">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.score">[docs]</a>
+    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Score all items for test users.</span>
 
 <span class="sd">        Args:</span>
@@ -704,7 +736,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 
         <span class="k">return</span> <span class="n">test_scores</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.get_popularity_based_topk"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk">[docs]</a>    <span class="k">def</span> <span class="nf">get_popularity_based_topk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">items</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.get_popularity_based_topk">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_popularity_based_topk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">items</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get top K most frequently occurring items across all users.</span>
 
 <span class="sd">        Args:</span>
@@ -742,7 +777,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
             <span class="p">}</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.get_item_based_topk"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk">[docs]</a>    <span class="k">def</span> <span class="nf">get_item_based_topk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">items</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.get_item_based_topk">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_item_based_topk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">items</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get top K similar items to provided seed items based on similarity metric defined.</span>
 <span class="sd">        This method will take a set of items and use them to recommend the most similar items to that set</span>
 <span class="sd">        based on the similarity matrix fit during training.</span>
@@ -818,7 +856,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="c1"># drop invalid items</span>
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.get_topk_most_similar_users"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users">[docs]</a>    <span class="k">def</span> <span class="nf">get_topk_most_similar_users</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user</span><span class="p">,</span> <span class="n">top_k</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.get_topk_most_similar_users">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_topk_most_similar_users</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">user</span><span class="p">,</span> <span class="n">top_k</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Based on user affinity towards items, calculate the most similar users to the given user.</span>
 
 <span class="sd">        Args:</span>
@@ -847,7 +888,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="c1"># drop invalid items</span>
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">top_k</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Recommend top K items for all users which are in the test set</span>
 
 <span class="sd">        Args:</span>
@@ -879,7 +923,10 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
         <span class="c1"># drop invalid items</span>
         <span class="k">return</span> <span class="n">df</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="SARSingleNode.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SARSingleNode.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sar.sar_singlenode.SARSingleNode.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">test</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Output SAR scores for only the users-items pairs which are in the test set</span>
 
 <span class="sd">        Args:</span>
@@ -924,7 +971,9 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
                 <span class="bp">self</span><span class="o">.</span><span class="n">col_prediction</span><span class="p">:</span> <span class="n">test_scores</span><span class="p">[</span><span class="n">user_ids</span><span class="p">,</span> <span class="n">item_ids</span><span class="p">],</span>
             <span class="p">}</span>
         <span class="p">)</span>
-        <span class="k">return</span> <span class="n">df</span></div></div>
+        <span class="k">return</span> <span class="n">df</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -965,7 +1014,7 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -989,8 +1038,8 @@ <h1>Source code for recommenders.models.sar.sar_singlenode</h1><div class="highl
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/sasrec/model.html b/docs/_build/html/_modules/recommenders/models/sasrec/model.html
index 877343ab4..3619ccb82 100644
--- a/docs/_build/html/_modules/recommenders/models/sasrec/model.html
+++ b/docs/_build/html/_modules/recommenders/models/sasrec/model.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
-    <script src="../../../../_static/jquery.js"></script>
-    <script src="../../../../_static/underscore.js"></script>
-    <script src="../../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="../../../../_static/doctools.js"></script>
-    <script src="../../../../_static/clipboard.min.js"></script>
-    <script src="../../../../_static/copybutton.js"></script>
-    <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/sasrec/model';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/sasrec/model.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,14 +347,18 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 <span class="kn">from</span> <span class="nn">recommenders.utils.timer</span> <span class="kn">import</span> <span class="n">Timer</span>
 
 
-<div class="viewcode-block" id="MultiHeadAttention"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention">[docs]</a><span class="k">class</span> <span class="nc">MultiHeadAttention</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="MultiHeadAttention">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention">[docs]</a>
+<span class="k">class</span> <span class="nc">MultiHeadAttention</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    - Q (query), K (key) and V (value) are split into multiple heads (num_heads)</span>
 <span class="sd">    - each tuple (q, k, v) are fed to scaled_dot_product_attention</span>
 <span class="sd">    - all attention outputs are concatenated</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="MultiHeadAttention.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attention_dim</span><span class="p">,</span> <span class="n">num_heads</span><span class="p">,</span> <span class="n">dropout_rate</span><span class="p">):</span>
+<div class="viewcode-block" id="MultiHeadAttention.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attention_dim</span><span class="p">,</span> <span class="n">num_heads</span><span class="p">,</span> <span class="n">dropout_rate</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize parameters.</span>
 
 <span class="sd">        Args:</span>
@@ -365,7 +379,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="bp">self</span><span class="o">.</span><span class="n">V</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">attention_dim</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dropout_rate</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MultiHeadAttention.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">queries</span><span class="p">,</span> <span class="n">keys</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MultiHeadAttention.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.MultiHeadAttention.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">queries</span><span class="p">,</span> <span class="n">keys</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -444,15 +461,21 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="c1"># Residual connection</span>
         <span class="n">outputs</span> <span class="o">+=</span> <span class="n">queries</span>
 
-        <span class="k">return</span> <span class="n">outputs</span></div></div>
+        <span class="k">return</span> <span class="n">outputs</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="PointWiseFeedForward"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward">[docs]</a><span class="k">class</span> <span class="nc">PointWiseFeedForward</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="PointWiseFeedForward">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward">[docs]</a>
+<span class="k">class</span> <span class="nc">PointWiseFeedForward</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Convolution layers with residual connection</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="PointWiseFeedForward.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">conv_dims</span><span class="p">,</span> <span class="n">dropout_rate</span><span class="p">):</span>
+<div class="viewcode-block" id="PointWiseFeedForward.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">conv_dims</span><span class="p">,</span> <span class="n">dropout_rate</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize parameters.</span>
 
 <span class="sd">        Args:</span>
@@ -470,7 +493,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">dropout_layer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dropout_rate</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="PointWiseFeedForward.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+
+<div class="viewcode-block" id="PointWiseFeedForward.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.PointWiseFeedForward.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -489,16 +515,22 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="c1"># Residual connection</span>
         <span class="n">output</span> <span class="o">+=</span> <span class="n">x</span>
 
-        <span class="k">return</span> <span class="n">output</span></div></div>
+        <span class="k">return</span> <span class="n">output</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="EncoderLayer"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer">[docs]</a><span class="k">class</span> <span class="nc">EncoderLayer</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="EncoderLayer">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer">[docs]</a>
+<span class="k">class</span> <span class="nc">EncoderLayer</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Transformer based encoder layer</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="EncoderLayer.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="EncoderLayer.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">seq_max_len</span><span class="p">,</span>
         <span class="n">embedding_dim</span><span class="p">,</span>
@@ -535,7 +567,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
             <span class="bp">self</span><span class="o">.</span><span class="n">seq_max_len</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">embedding_dim</span><span class="p">,</span> <span class="mf">1e-08</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="EncoderLayer.call_"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.call_">[docs]</a>    <span class="k">def</span> <span class="nf">call_</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
+
+<div class="viewcode-block" id="EncoderLayer.call_">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.call_">[docs]</a>
+    <span class="k">def</span> <span class="nf">call_</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -563,7 +598,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">out2</span></div>
 
-<div class="viewcode-block" id="EncoderLayer.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
+
+<div class="viewcode-block" id="EncoderLayer.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.EncoderLayer.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -580,16 +618,22 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="n">attn_output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ffn</span><span class="p">(</span><span class="n">attn_output</span><span class="p">)</span>
         <span class="n">out</span> <span class="o">=</span> <span class="n">attn_output</span> <span class="o">*</span> <span class="n">mask</span>
 
-        <span class="k">return</span> <span class="n">out</span></div></div>
+        <span class="k">return</span> <span class="n">out</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="Encoder"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder">[docs]</a><span class="k">class</span> <span class="nc">Encoder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="Encoder">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder">[docs]</a>
+<span class="k">class</span> <span class="nc">Encoder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Invokes Transformer based encoder with user defined number of layers</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Encoder.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="Encoder.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">num_layers</span><span class="p">,</span>
         <span class="n">seq_max_len</span><span class="p">,</span>
@@ -628,7 +672,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">dropout_rate</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Encoder.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Encoder.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.Encoder.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -643,16 +690,22 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">num_layers</span><span class="p">):</span>
             <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">enc_layers</span><span class="p">[</span><span class="n">i</span><span class="p">](</span><span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">mask</span><span class="p">)</span>
 
-        <span class="k">return</span> <span class="n">x</span>  <span class="c1"># (batch_size, input_seq_len, d_model)</span></div></div>
+        <span class="k">return</span> <span class="n">x</span>  <span class="c1"># (batch_size, input_seq_len, d_model)</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="LayerNormalization"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization">[docs]</a><span class="k">class</span> <span class="nc">LayerNormalization</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<div class="viewcode-block" id="LayerNormalization">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization">[docs]</a>
+<span class="k">class</span> <span class="nc">LayerNormalization</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Layer normalization using mean and variance</span>
 <span class="sd">    gamma and beta are the learnable parameters</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LayerNormalization.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">seq_max_len</span><span class="p">,</span> <span class="n">embedding_dim</span><span class="p">,</span> <span class="n">epsilon</span><span class="p">):</span>
+<div class="viewcode-block" id="LayerNormalization.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">seq_max_len</span><span class="p">,</span> <span class="n">embedding_dim</span><span class="p">,</span> <span class="n">epsilon</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize parameters.</span>
 
 <span class="sd">        Args:</span>
@@ -676,7 +729,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
             <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="LayerNormalization.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+
+<div class="viewcode-block" id="LayerNormalization.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.LayerNormalization.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -688,10 +744,14 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="n">mean</span><span class="p">,</span> <span class="n">variance</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">moments</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
         <span class="n">normalized</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">mean</span><span class="p">)</span> <span class="o">/</span> <span class="p">((</span><span class="n">variance</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">epsilon</span><span class="p">)</span> <span class="o">**</span> <span class="mf">0.5</span><span class="p">)</span>
         <span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gamma</span> <span class="o">*</span> <span class="n">normalized</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">beta</span>
-        <span class="k">return</span> <span class="n">output</span></div></div>
+        <span class="k">return</span> <span class="n">output</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="SASREC"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC">[docs]</a><span class="k">class</span> <span class="nc">SASREC</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">):</span>
+<div class="viewcode-block" id="SASREC">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC">[docs]</a>
+<span class="k">class</span> <span class="nc">SASREC</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;SAS Rec model</span>
 <span class="sd">    Self-Attentive Sequential Recommendation Using Transformer</span>
 
@@ -706,7 +766,9 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SASREC.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="SASREC.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model initialization.</span>
 
 <span class="sd">        Args:</span>
@@ -763,7 +825,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
             <span class="bp">self</span><span class="o">.</span><span class="n">seq_max_len</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">embedding_dim</span><span class="p">,</span> <span class="mf">1e-08</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SASREC.embedding"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.embedding">[docs]</a>    <span class="k">def</span> <span class="nf">embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_seq</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.embedding">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.embedding">[docs]</a>
+    <span class="k">def</span> <span class="nf">embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_seq</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute the sequence and positional embeddings.</span>
 
 <span class="sd">        Args:</span>
@@ -785,7 +850,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">seq_embeddings</span><span class="p">,</span> <span class="n">positional_embeddings</span></div>
 
-<div class="viewcode-block" id="SASREC.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -853,7 +921,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span></div>
 
-<div class="viewcode-block" id="SASREC.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the logits for the test items.</span>
 
 <span class="sd">        Args:</span>
@@ -891,7 +962,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="n">test_logits</span> <span class="o">=</span> <span class="n">test_logits</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:]</span>  <span class="c1"># (1, 101)</span>
         <span class="k">return</span> <span class="n">test_logits</span></div>
 
-<div class="viewcode-block" id="SASREC.loss_function"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.loss_function">[docs]</a>    <span class="k">def</span> <span class="nf">loss_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.loss_function">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.loss_function">[docs]</a>
+    <span class="k">def</span> <span class="nf">loss_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Losses are calculated separately for the positive and negative</span>
 <span class="sd">        items based on the corresponding logits. A mask is included to</span>
 <span class="sd">        take care of the zero items (added for padding).</span>
@@ -931,7 +1005,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">loss</span></div>
 
-<div class="viewcode-block" id="SASREC.create_combined_dataset"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.create_combined_dataset">[docs]</a>    <span class="k">def</span> <span class="nf">create_combined_dataset</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">u</span><span class="p">,</span> <span class="n">seq</span><span class="p">,</span> <span class="n">pos</span><span class="p">,</span> <span class="n">neg</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.create_combined_dataset">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.create_combined_dataset">[docs]</a>
+    <span class="k">def</span> <span class="nf">create_combined_dataset</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">u</span><span class="p">,</span> <span class="n">seq</span><span class="p">,</span> <span class="n">pos</span><span class="p">,</span> <span class="n">neg</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        function to create model inputs from sampled batch data.</span>
 <span class="sd">        This function is used only during training.</span>
@@ -962,7 +1039,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
         <span class="n">target</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">target</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">target</span></div>
 
-<div class="viewcode-block" id="SASREC.train"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.train">[docs]</a>    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">,</span> <span class="n">sampler</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.train">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">,</span> <span class="n">sampler</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        High level function for model training as well as</span>
 <span class="sd">        evaluation on the validation and test dataset</span>
@@ -1049,7 +1129,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">t_test</span></div>
 
-<div class="viewcode-block" id="SASREC.evaluate"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.evaluate">[docs]</a>    <span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.evaluate">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.evaluate">[docs]</a>
+    <span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluation on the test users (users with at least 3 items)</span>
 <span class="sd">        &quot;&quot;&quot;</span>
@@ -1111,7 +1194,10 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">NDCG</span> <span class="o">/</span> <span class="n">valid_user</span><span class="p">,</span> <span class="n">HT</span> <span class="o">/</span> <span class="n">valid_user</span></div>
 
-<div class="viewcode-block" id="SASREC.evaluate_valid"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.evaluate_valid">[docs]</a>    <span class="k">def</span> <span class="nf">evaluate_valid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SASREC.evaluate_valid">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.model.SASREC.evaluate_valid">[docs]</a>
+    <span class="k">def</span> <span class="nf">evaluate_valid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluation on the validation users</span>
 <span class="sd">        &quot;&quot;&quot;</span>
@@ -1167,7 +1253,9 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
                 <span class="n">NDCG</span> <span class="o">+=</span> <span class="mi">1</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">log2</span><span class="p">(</span><span class="n">rank</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span>
                 <span class="n">HT</span> <span class="o">+=</span> <span class="mi">1</span>
 
-        <span class="k">return</span> <span class="n">NDCG</span> <span class="o">/</span> <span class="n">valid_user</span><span class="p">,</span> <span class="n">HT</span> <span class="o">/</span> <span class="n">valid_user</span></div></div>
+        <span class="k">return</span> <span class="n">NDCG</span> <span class="o">/</span> <span class="n">valid_user</span><span class="p">,</span> <span class="n">HT</span> <span class="o">/</span> <span class="n">valid_user</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -1208,7 +1296,7 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1232,8 +1320,8 @@ <h1>Source code for recommenders.models.sasrec.model</h1><div class="highlight">
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/sasrec/sampler.html b/docs/_build/html/_modules/recommenders/models/sasrec/sampler.html
index 3f72e5093..46eab5635 100644
--- a/docs/_build/html/_modules/recommenders/models/sasrec/sampler.html
+++ b/docs/_build/html/_modules/recommenders/models/sasrec/sampler.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
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-    <script src="../../../../_static/copybutton.js"></script>
-    <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/sasrec/sampler';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/sasrec/sampler.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,7 +352,9 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
     <span class="k">return</span> <span class="n">t</span>
 
 
-<div class="viewcode-block" id="sample_function"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.sample_function">[docs]</a><span class="k">def</span> <span class="nf">sample_function</span><span class="p">(</span>
+<div class="viewcode-block" id="sample_function">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.sample_function">[docs]</a>
+<span class="k">def</span> <span class="nf">sample_function</span><span class="p">(</span>
     <span class="n">user_train</span><span class="p">,</span> <span class="n">usernum</span><span class="p">,</span> <span class="n">itemnum</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">maxlen</span><span class="p">,</span> <span class="n">result_queue</span><span class="p">,</span> <span class="n">seed</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch sampler that creates a sequence of negative items based on the</span>
@@ -392,7 +404,10 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
         <span class="n">result_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="o">*</span><span class="n">one_batch</span><span class="p">))</span></div>
 
 
-<div class="viewcode-block" id="WarpSampler"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.WarpSampler">[docs]</a><span class="k">class</span> <span class="nc">WarpSampler</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+
+<div class="viewcode-block" id="WarpSampler">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.WarpSampler">[docs]</a>
+<span class="k">class</span> <span class="nc">WarpSampler</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Sampler object that creates an iterator for feeding batch data while training.</span>
 
 <span class="sd">    Attributes:</span>
@@ -404,7 +419,9 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
 <span class="sd">        n_workers (int): number of workers for parallel execution</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="WarpSampler.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.WarpSampler.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">User</span><span class="p">,</span> <span class="n">usernum</span><span class="p">,</span> <span class="n">itemnum</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">maxlen</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">n_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
+<div class="viewcode-block" id="WarpSampler.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.sampler.WarpSampler.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">User</span><span class="p">,</span> <span class="n">usernum</span><span class="p">,</span> <span class="n">itemnum</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">maxlen</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">n_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="n">n_workers</span> <span class="o">*</span> <span class="mi">10</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">processors</span> <span class="o">=</span> <span class="p">[]</span>
         <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_workers</span><span class="p">):</span>
@@ -425,6 +442,7 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
             <span class="bp">self</span><span class="o">.</span><span class="n">processors</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">daemon</span> <span class="o">=</span> <span class="kc">True</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">processors</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">next_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
 
@@ -432,6 +450,7 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
         <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">processors</span><span class="p">:</span>
             <span class="n">p</span><span class="o">.</span><span class="n">terminate</span><span class="p">()</span>
             <span class="n">p</span><span class="o">.</span><span class="n">join</span><span class="p">()</span></div>
+
 </pre></div>
 
                 </article>
@@ -472,7 +491,7 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
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@@ -496,8 +515,8 @@ <h1>Source code for recommenders.models.sasrec.sampler</h1><div class="highlight
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/models/sasrec/ssept.html b/docs/_build/html/_modules/recommenders/models/sasrec/ssept.html
index d5bce875d..1e1bff8f7 100644
--- a/docs/_build/html/_modules/recommenders/models/sasrec/ssept.html
+++ b/docs/_build/html/_modules/recommenders/models/sasrec/ssept.html
@@ -1,9 +1,8 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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@@ -18,54 +17,58 @@
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+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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@@ -120,13 +122,10 @@
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 </form></div>
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+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -333,7 +343,9 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
 <span class="kn">from</span> <span class="nn">recommenders.models.sasrec.model</span> <span class="kn">import</span> <span class="n">SASREC</span><span class="p">,</span> <span class="n">Encoder</span><span class="p">,</span> <span class="n">LayerNormalization</span>
 
 
-<div class="viewcode-block" id="SSEPT"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT">[docs]</a><span class="k">class</span> <span class="nc">SSEPT</span><span class="p">(</span><span class="n">SASREC</span><span class="p">):</span>
+<div class="viewcode-block" id="SSEPT">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT">[docs]</a>
+<span class="k">class</span> <span class="nc">SSEPT</span><span class="p">(</span><span class="n">SASREC</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    SSE-PT Model</span>
 
@@ -345,7 +357,9 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
 <span class="sd">    TF 2.x codebase (SASREc): https://github.com/nnkkmto/SASRec-tf2</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="SSEPT.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="SSEPT.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model initialization.</span>
 
 <span class="sd">        Args:</span>
@@ -403,7 +417,10 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
             <span class="bp">self</span><span class="o">.</span><span class="n">seq_max_len</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_units</span><span class="p">,</span> <span class="mf">1e-08</span>
         <span class="p">)</span></div>
 
-<div class="viewcode-block" id="SSEPT.call"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.call">[docs]</a>    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SSEPT.call">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.call">[docs]</a>
+    <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">training</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Model forward pass.</span>
 
 <span class="sd">        Args:</span>
@@ -495,7 +512,10 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
 
         <span class="k">return</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span></div>
 
-<div class="viewcode-block" id="SSEPT.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SSEPT.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Model prediction for candidate (negative) items</span>
 
@@ -548,7 +568,10 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
         <span class="n">test_logits</span> <span class="o">=</span> <span class="n">test_logits</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:]</span>  <span class="c1"># (1, 101)</span>
         <span class="k">return</span> <span class="n">test_logits</span></div>
 
-<div class="viewcode-block" id="SSEPT.loss_function"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.loss_function">[docs]</a>    <span class="k">def</span> <span class="nf">loss_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span><span class="p">):</span>
+
+<div class="viewcode-block" id="SSEPT.loss_function">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.ssept.SSEPT.loss_function">[docs]</a>
+    <span class="k">def</span> <span class="nf">loss_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos_logits</span><span class="p">,</span> <span class="n">neg_logits</span><span class="p">,</span> <span class="n">istarget</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Losses are calculated separately for the positive and negative</span>
 <span class="sd">        items based on the corresponding logits. A mask is included to</span>
 <span class="sd">        take care of the zero items (added for padding).</span>
@@ -586,7 +609,9 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
         <span class="c1"># loss += sum(reg_losses)</span>
         <span class="n">loss</span> <span class="o">+=</span> <span class="n">reg_loss</span>
 
-        <span class="k">return</span> <span class="n">loss</span></div></div>
+        <span class="k">return</span> <span class="n">loss</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -627,7 +652,7 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -651,8 +676,8 @@ <h1>Source code for recommenders.models.sasrec.ssept</h1><div class="highlight">
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/sasrec/util.html b/docs/_build/html/_modules/recommenders/models/sasrec/util.html
index 24b5117f5..177bc9b1c 100644
--- a/docs/_build/html/_modules/recommenders/models/sasrec/util.html
+++ b/docs/_build/html/_modules/recommenders/models/sasrec/util.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
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@@ -18,54 +17,58 @@
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+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/sasrec/util';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/sasrec/util.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -332,7 +342,9 @@ <h1>Source code for recommenders.models.sasrec.util</h1><div class="highlight"><
 <span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">defaultdict</span>
 
 
-<div class="viewcode-block" id="SASRecDataSet"><a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.util.SASRecDataSet">[docs]</a><span class="k">class</span> <span class="nc">SASRecDataSet</span><span class="p">:</span>
+<div class="viewcode-block" id="SASRecDataSet">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.sasrec.util.SASRecDataSet">[docs]</a>
+<span class="k">class</span> <span class="nc">SASRecDataSet</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    A class for creating SASRec specific dataset used during</span>
 <span class="sd">    train, validation and testing.</span>
@@ -433,6 +445,7 @@ <h1>Source code for recommenders.models.sasrec.util</h1><div class="highlight"><
                 <span class="bp">self</span><span class="o">.</span><span class="n">user_valid</span><span class="p">[</span><span class="n">user</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">User</span><span class="p">[</span><span class="n">user</span><span class="p">][</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">user_test</span><span class="p">[</span><span class="n">user</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">user_test</span><span class="p">[</span><span class="n">user</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">User</span><span class="p">[</span><span class="n">user</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span></div>
+
 </pre></div>
 
                 </article>
@@ -473,7 +486,7 @@ <h1>Source code for recommenders.models.sasrec.util</h1><div class="highlight"><
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -497,8 +510,8 @@ <h1>Source code for recommenders.models.sasrec.util</h1><div class="highlight"><
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/surprise/surprise_utils.html b/docs/_build/html/_modules/recommenders/models/surprise/surprise_utils.html
index f6e0860e9..16eaec2d7 100644
--- a/docs/_build/html/_modules/recommenders/models/surprise/surprise_utils.html
+++ b/docs/_build/html/_modules/recommenders/models/surprise/surprise_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
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+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
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 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/surprise/surprise_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/surprise/surprise_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -340,7 +350,9 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
 <span class="kn">from</span> <span class="nn">recommenders.utils.general_utils</span> <span class="kn">import</span> <span class="n">invert_dictionary</span>
 
 
-<div class="viewcode-block" id="surprise_trainset_to_df"><a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df">[docs]</a><span class="k">def</span> <span class="nf">surprise_trainset_to_df</span><span class="p">(</span>
+<div class="viewcode-block" id="surprise_trainset_to_df">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df">[docs]</a>
+<span class="k">def</span> <span class="nf">surprise_trainset_to_df</span><span class="p">(</span>
     <span class="n">trainset</span><span class="p">,</span> <span class="n">col_user</span><span class="o">=</span><span class="s2">&quot;uid&quot;</span><span class="p">,</span> <span class="n">col_item</span><span class="o">=</span><span class="s2">&quot;iid&quot;</span><span class="p">,</span> <span class="n">col_rating</span><span class="o">=</span><span class="s2">&quot;rating&quot;</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Converts a `surprise.Trainset` object to `pandas.DataFrame`</span>
@@ -372,7 +384,10 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
     <span class="k">return</span> <span class="n">df</span></div>
 
 
-<div class="viewcode-block" id="predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.predict">[docs]</a><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span>
+
+<div class="viewcode-block" id="predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.predict">[docs]</a>
+<span class="k">def</span> <span class="nf">predict</span><span class="p">(</span>
     <span class="n">algo</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">usercol</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -401,7 +416,10 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
     <span class="k">return</span> <span class="n">predictions</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s2">&quot;details&quot;</span><span class="p">,</span> <span class="s2">&quot;r_ui&quot;</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="s2">&quot;columns&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="compute_ranking_predictions"><a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.compute_ranking_predictions">[docs]</a><span class="k">def</span> <span class="nf">compute_ranking_predictions</span><span class="p">(</span>
+
+<div class="viewcode-block" id="compute_ranking_predictions">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.surprise.surprise_utils.compute_ranking_predictions">[docs]</a>
+<span class="k">def</span> <span class="nf">compute_ranking_predictions</span><span class="p">(</span>
     <span class="n">algo</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">usercol</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -446,6 +464,7 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
         <span class="k">return</span> <span class="n">merged</span><span class="p">[</span><span class="n">merged</span><span class="p">[</span><span class="s2">&quot;dummycol&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">isnull</span><span class="p">()]</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;dummycol&quot;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="k">return</span> <span class="n">all_predictions</span></div>
+
 </pre></div>
 
                 </article>
@@ -486,7 +505,7 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -510,8 +529,8 @@ <h1>Source code for recommenders.models.surprise.surprise_utils</h1><div class="
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/docs/_build/html/_modules/recommenders/models/tfidf/tfidf_utils.html b/docs/_build/html/_modules/recommenders/models/tfidf/tfidf_utils.html
index 5541e6bd2..be825f056 100644
--- a/docs/_build/html/_modules/recommenders/models/tfidf/tfidf_utils.html
+++ b/docs/_build/html/_modules/recommenders/models/tfidf/tfidf_utils.html
@@ -1,9 +1,8 @@
 
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@@ -18,54 +17,58 @@
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+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
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+</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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 </form></div>
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     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,7 +352,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 <span class="kn">from</span> <span class="nn">nltk.stem.porter</span> <span class="kn">import</span> <span class="n">PorterStemmer</span>
 
 
-<div class="viewcode-block" id="TfidfRecommender"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender">[docs]</a><span class="k">class</span> <span class="nc">TfidfRecommender</span><span class="p">:</span>
+<div class="viewcode-block" id="TfidfRecommender">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender">[docs]</a>
+<span class="k">class</span> <span class="nc">TfidfRecommender</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Term Frequency - Inverse Document Frequency (TF-IDF) Recommender</span>
 
 <span class="sd">    This class provides content-based recommendations using TF-IDF vectorization in combination with cosine similarity.</span>
@@ -414,7 +426,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="n">clean</span>
 
-<div class="viewcode-block" id="TfidfRecommender.clean_dataframe"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe">[docs]</a>    <span class="k">def</span> <span class="nf">clean_dataframe</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">cols_to_clean</span><span class="p">,</span> <span class="n">new_col_name</span><span class="o">=</span><span class="s2">&quot;cleaned_text&quot;</span><span class="p">):</span>
+<div class="viewcode-block" id="TfidfRecommender.clean_dataframe">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe">[docs]</a>
+    <span class="k">def</span> <span class="nf">clean_dataframe</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">cols_to_clean</span><span class="p">,</span> <span class="n">new_col_name</span><span class="o">=</span><span class="s2">&quot;cleaned_text&quot;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Clean the text within the columns of interest and return a dataframe with cleaned and combined text.</span>
 
 <span class="sd">        Args:</span>
@@ -442,7 +456,10 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="n">df</span></div>
 
-<div class="viewcode-block" id="TfidfRecommender.tokenize_text"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text">[docs]</a>    <span class="k">def</span> <span class="nf">tokenize_text</span><span class="p">(</span>
+
+<div class="viewcode-block" id="TfidfRecommender.tokenize_text">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text">[docs]</a>
+    <span class="k">def</span> <span class="nf">tokenize_text</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">df_clean</span><span class="p">,</span> <span class="n">text_col</span><span class="o">=</span><span class="s2">&quot;cleaned_text&quot;</span><span class="p">,</span> <span class="n">ngram_range</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="n">min_df</span><span class="o">=</span><span class="mi">0</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Tokenize the input text.</span>
@@ -526,7 +543,10 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="n">tf</span><span class="p">,</span> <span class="n">vectors_tokenized</span></div>
 
-<div class="viewcode-block" id="TfidfRecommender.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tf</span><span class="p">,</span> <span class="n">vectors_tokenized</span><span class="p">):</span>
+
+<div class="viewcode-block" id="TfidfRecommender.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tf</span><span class="p">,</span> <span class="n">vectors_tokenized</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit TF-IDF vectorizer to the cleaned and tokenized text.</span>
 
 <span class="sd">        Args:</span>
@@ -535,7 +555,10 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">tfidf_matrix</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">vectors_tokenized</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="TfidfRecommender.get_tokens"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens">[docs]</a>    <span class="k">def</span> <span class="nf">get_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="TfidfRecommender.get_tokens">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the tokens generated by the TF-IDF vectorizer.</span>
 
 <span class="sd">        Returns:</span>
@@ -547,7 +570,10 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
             <span class="bp">self</span><span class="o">.</span><span class="n">tokens</span> <span class="o">=</span> <span class="s2">&quot;Run .tokenize_text() and .fit_tfidf() first&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokens</span></div>
 
-<div class="viewcode-block" id="TfidfRecommender.get_stop_words"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words">[docs]</a>    <span class="k">def</span> <span class="nf">get_stop_words</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="TfidfRecommender.get_stop_words">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_stop_words</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the stop words excluded in the TF-IDF vectorizer.</span>
 
 <span class="sd">        Returns:</span>
@@ -559,6 +585,7 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
             <span class="bp">self</span><span class="o">.</span><span class="n">stop_words</span> <span class="o">=</span> <span class="s2">&quot;Run .tokenize_text() and .fit_tfidf() first&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">stop_words</span></div>
 
+
     <span class="k">def</span> <span class="nf">__create_full_recommendation_dictionary</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df_clean</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Create the full recommendation dictionary containing all recommendations for all items.</span>
 
@@ -624,7 +651,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
         <span class="c1"># Convert to dataframe</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">top_k_recommendations</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">output_dict</span><span class="p">)</span>
 
-<div class="viewcode-block" id="TfidfRecommender.recommend_top_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_top_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df_clean</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
+<div class="viewcode-block" id="TfidfRecommender.recommend_top_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_top_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df_clean</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Recommend k number of items similar to the item of interest.</span>
 
 <span class="sd">        Args:</span>
@@ -643,6 +672,7 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">top_k_recommendations</span></div>
 
+
     <span class="k">def</span> <span class="nf">__get_single_item_info</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">metadata</span><span class="p">,</span> <span class="n">rec_id</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get full information for a single recommended item.</span>
 
@@ -667,7 +697,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="s1">&#39;&lt;a href=&quot;</span><span class="si">{0}</span><span class="s1">&quot;&gt;</span><span class="si">{0}</span><span class="s1">&lt;/a&gt;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">address</span><span class="p">)</span>
 
-<div class="viewcode-block" id="TfidfRecommender.get_top_k_recommendations"><a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations">[docs]</a>    <span class="k">def</span> <span class="nf">get_top_k_recommendations</span><span class="p">(</span>
+<div class="viewcode-block" id="TfidfRecommender.get_top_k_recommendations">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_top_k_recommendations</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="n">metadata</span><span class="p">,</span> <span class="n">query_id</span><span class="p">,</span> <span class="n">cols_to_keep</span><span class="o">=</span><span class="p">[],</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the top k recommendations with useful metadata for each recommendation.</span>
@@ -722,7 +754,9 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
         <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
             <span class="n">df</span>
 
-        <span class="k">return</span> <span class="n">df</span></div></div>
+        <span class="k">return</span> <span class="n">df</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -763,7 +797,7 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -787,8 +821,8 @@ <h1>Source code for recommenders.models.tfidf.tfidf_utils</h1><div class="highli
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/models/vae/multinomial_vae.html b/docs/_build/html/_modules/recommenders/models/vae/multinomial_vae.html
index bbb928452..3b1467f3f 100644
--- a/docs/_build/html/_modules/recommenders/models/vae/multinomial_vae.html
+++ b/docs/_build/html/_modules/recommenders/models/vae/multinomial_vae.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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@@ -18,54 +17,58 @@
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-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
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+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
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     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/vae/multinomial_vae';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/vae/multinomial_vae.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
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+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -341,25 +351,38 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 <span class="kn">from</span> <span class="nn">tensorflow.keras.callbacks</span> <span class="kn">import</span> <span class="n">ReduceLROnPlateau</span><span class="p">,</span> <span class="n">Callback</span>
 
 
-<div class="viewcode-block" id="LossHistory"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory">[docs]</a><span class="k">class</span> <span class="nc">LossHistory</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+<div class="viewcode-block" id="LossHistory">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory">[docs]</a>
+<span class="k">class</span> <span class="nc">LossHistory</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;This class is used for saving the validation loss and the training loss per epoch.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LossHistory.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+<div class="viewcode-block" id="LossHistory.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise the lists where the loss of training and validation will be saved.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">losses</span> <span class="o">=</span> <span class="p">[]</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="LossHistory.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="LossHistory.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Save the loss of training and validation set at the end of each epoch.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;loss&quot;</span><span class="p">))</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;val_loss&quot;</span><span class="p">))</span></div></div>
+        <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;val_loss&quot;</span><span class="p">))</span></div>
+</div>
 
 
-<div class="viewcode-block" id="Metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics">[docs]</a><span class="k">class</span> <span class="nc">Metrics</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics">[docs]</a>
+<span class="k">class</span> <span class="nc">Metrics</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Callback function used to calculate the NDCG@k metric of validation set at the end of each epoch.</span>
 <span class="sd">    Weights of the model with the highest NDCG@k value is saved.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Metrics.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">val_tr</span><span class="p">,</span> <span class="n">val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">save_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="Metrics.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">val_tr</span><span class="p">,</span> <span class="n">val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">save_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the class parameters.</span>
 
@@ -390,11 +413,17 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="c1"># Options to save the weights of the model for future use</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">save_path</span> <span class="o">=</span> <span class="n">save_path</span></div>
 
-<div class="viewcode-block" id="Metrics.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="Metrics.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise the list for validation NDCG@k.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="Metrics.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 <span class="sd">        Obtained probabilities are used as recommendation score.</span>
 
@@ -428,7 +457,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="Metrics.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="Metrics.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each epoch calculate NDCG@k of the validation set.</span>
 
 <span class="sd">        If the model performance is improved, the model weights are saved.</span>
@@ -455,17 +487,26 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
         <span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">NDCG</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Metrics.get_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.get_data">[docs]</a>    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics.get_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Metrics.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns a list of the NDCG@k of the validation set metrics calculated</span>
 <span class="sd">        at the end of each epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="AnnealingCallback"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback">[docs]</a><span class="k">class</span> <span class="nc">AnnealingCallback</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+<div class="viewcode-block" id="AnnealingCallback">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback">[docs]</a>
+<span class="k">class</span> <span class="nc">AnnealingCallback</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;This class is used for updating the value of β during the annealing process.</span>
 <span class="sd">    When β reaches the value of anneal_cap, it stops increasing.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="AnnealingCallback.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">anneal_cap</span><span class="p">,</span> <span class="n">total_anneal_steps</span><span class="p">):</span>
+<div class="viewcode-block" id="AnnealingCallback.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">anneal_cap</span><span class="p">,</span> <span class="n">total_anneal_steps</span><span class="p">):</span>
 
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Constructor</span>
 
@@ -486,11 +527,17 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="c1"># total annealing steps</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">total_anneal_steps</span> <span class="o">=</span> <span class="n">total_anneal_steps</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise a list in which the beta value will be saved at the end of each epoch.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_batch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_batch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_batch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_batch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each batch the beta should is updated until it reaches the values of anneal cap.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">update_count</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_count</span> <span class="o">+</span> <span class="mi">1</span>
 
@@ -500,17 +547,27 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
         <span class="n">K</span><span class="o">.</span><span class="n">set_value</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">,</span> <span class="n">new_beta</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each epoch save the value of beta in _beta list.&quot;&quot;&quot;</span>
         <span class="n">tmp</span> <span class="o">=</span> <span class="n">K</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">tmp</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.get_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data">[docs]</a>    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.get_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns a list of the beta values per epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="Mult_VAE"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE">[docs]</a><span class="k">class</span> <span class="nc">Mult_VAE</span><span class="p">:</span>
+<div class="viewcode-block" id="Mult_VAE">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE">[docs]</a>
+<span class="k">class</span> <span class="nc">Mult_VAE</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Multinomial Variational Autoencoders (Multi-VAE) for Collaborative Filtering implementation</span>
 
 <span class="sd">    :Citation:</span>
@@ -520,7 +577,9 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 <span class="sd">        https://arxiv.org/pdf/1802.05814.pdf</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Mult_VAE.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="Mult_VAE.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">n_users</span><span class="p">,</span>
         <span class="n">original_dim</span><span class="p">,</span>
@@ -603,6 +662,7 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="c1"># Create StandardVAE model</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_create_model</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_create_model</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Build and compile model.&quot;&quot;&quot;</span>
         <span class="c1"># Encoding</span>
@@ -692,7 +752,9 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
         <span class="k">return</span> <span class="n">_mean</span> <span class="o">+</span> <span class="n">K</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">_log_var</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">epsilon</span>
 
-<div class="viewcode-block" id="Mult_VAE.nn_batch_generator"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator">[docs]</a>    <span class="k">def</span> <span class="nf">nn_batch_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">):</span>
+<div class="viewcode-block" id="Mult_VAE.nn_batch_generator">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator">[docs]</a>
+    <span class="k">def</span> <span class="nf">nn_batch_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Used for splitting dataset in batches.</span>
 
 <span class="sd">        Args:</span>
@@ -721,7 +783,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
             <span class="k">if</span> <span class="n">counter</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">number_of_batches</span><span class="p">:</span>
                 <span class="n">counter</span> <span class="o">=</span> <span class="mi">0</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">x_val_tr</span><span class="p">,</span> <span class="n">x_val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">x_val_tr</span><span class="p">,</span> <span class="n">x_val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit model with the train sets and validate on the validation set.</span>
 
 <span class="sd">        Args:</span>
@@ -782,7 +847,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="bp">self</span><span class="o">.</span><span class="n">val_loss</span> <span class="o">=</span> <span class="n">history</span><span class="o">.</span><span class="n">val_losses</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span> <span class="o">=</span> <span class="n">metrics</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.get_optimal_beta"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta">[docs]</a>    <span class="k">def</span> <span class="nf">get_optimal_beta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.get_optimal_beta">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_optimal_beta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the value of the optimal beta.&quot;&quot;&quot;</span>
         <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">annealing</span><span class="p">:</span>
             <span class="c1"># find the epoch/index that had the highest NDCG@k value</span>
@@ -793,7 +861,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="k">else</span><span class="p">:</span>
             <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">beta</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.display_metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics">[docs]</a>    <span class="k">def</span> <span class="nf">display_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.display_metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics">[docs]</a>
+    <span class="k">def</span> <span class="nf">display_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Plots:</span>
 <span class="sd">        1) Loss per epoch both for validation and train set</span>
 <span class="sd">        2) NDCG@k per epoch of the validation set</span>
@@ -823,7 +894,10 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">&quot;TRAINING AND VALIDATION METRICS HISTORY&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
         <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">(</span><span class="n">pad</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 <span class="sd">        Obtained probabilities are used as recommendation score.</span>
 
@@ -853,9 +927,14 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
         <span class="n">top_scores</span> <span class="o">=</span> <span class="n">score</span> <span class="o">-</span> <span class="n">score_c</span>
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="Mult_VAE.ndcg_per_epoch"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch">[docs]</a>    <span class="k">def</span> <span class="nf">ndcg_per_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Mult_VAE.ndcg_per_epoch">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch">[docs]</a>
+    <span class="k">def</span> <span class="nf">ndcg_per_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the list of NDCG@k at each epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -896,7 +975,7 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -920,8 +999,8 @@ <h1>Source code for recommenders.models.vae.multinomial_vae</h1><div class="high
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/vae/standard_vae.html b/docs/_build/html/_modules/recommenders/models/vae/standard_vae.html
index 3298f6e3d..9d5c16b6c 100644
--- a/docs/_build/html/_modules/recommenders/models/vae/standard_vae.html
+++ b/docs/_build/html/_modules/recommenders/models/vae/standard_vae.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
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+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
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-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/vae/standard_vae';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/vae/standard_vae.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -342,25 +352,38 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 <span class="kn">from</span> <span class="nn">recommenders.evaluation.python_evaluation</span> <span class="kn">import</span> <span class="n">ndcg_at_k</span>
 
 
-<div class="viewcode-block" id="LossHistory"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory">[docs]</a><span class="k">class</span> <span class="nc">LossHistory</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+<div class="viewcode-block" id="LossHistory">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory">[docs]</a>
+<span class="k">class</span> <span class="nc">LossHistory</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;This class is used for saving the validation loss and the training loss per epoch.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="LossHistory.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+<div class="viewcode-block" id="LossHistory.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise the lists where the loss of training and validation will be saved.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">losses</span> <span class="o">=</span> <span class="p">[]</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="LossHistory.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="LossHistory.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Save the loss of training and validation set at the end of each epoch.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;loss&quot;</span><span class="p">))</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;val_loss&quot;</span><span class="p">))</span></div></div>
+        <span class="bp">self</span><span class="o">.</span><span class="n">val_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">logs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;val_loss&quot;</span><span class="p">))</span></div>
+</div>
 
 
-<div class="viewcode-block" id="Metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics">[docs]</a><span class="k">class</span> <span class="nc">Metrics</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics">[docs]</a>
+<span class="k">class</span> <span class="nc">Metrics</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Callback function used to calculate the NDCG@k metric of validation set at the end of each epoch.</span>
 <span class="sd">    Weights of the model with the highest NDCG@k value is saved.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Metrics.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">val_tr</span><span class="p">,</span> <span class="n">val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">save_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="Metrics.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">val_tr</span><span class="p">,</span> <span class="n">val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">save_path</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the class parameters.</span>
 
@@ -391,11 +414,17 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="c1"># Options to save the weights of the model for future use</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">save_path</span> <span class="o">=</span> <span class="n">save_path</span></div>
 
-<div class="viewcode-block" id="Metrics.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="Metrics.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise the list for validation NDCG@k.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="Metrics.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 <span class="sd">        Obtained probabilities are used as recommendation score.</span>
 
@@ -429,7 +458,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="Metrics.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="Metrics.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each epoch calculate NDCG@k of the validation set.</span>
 <span class="sd">        If the model performance is improved, the model weights are saved.</span>
 <span class="sd">        Update the list of validation NDCG@k by adding obtained value.</span>
@@ -454,18 +486,27 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">NDCG</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Metrics.get_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.get_data">[docs]</a>    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Metrics.get_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.Metrics.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns a list of the NDCG@k of the validation set metrics calculated</span>
 <span class="sd">        at the end of each epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="AnnealingCallback"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback">[docs]</a><span class="k">class</span> <span class="nc">AnnealingCallback</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
+<div class="viewcode-block" id="AnnealingCallback">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback">[docs]</a>
+<span class="k">class</span> <span class="nc">AnnealingCallback</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;This class is used for updating the value of β during the annealing process.</span>
 <span class="sd">    When β reaches the value of anneal_cap, it stops increasing.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="AnnealingCallback.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">anneal_cap</span><span class="p">,</span> <span class="n">total_anneal_steps</span><span class="p">):</span>
+<div class="viewcode-block" id="AnnealingCallback.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">anneal_cap</span><span class="p">,</span> <span class="n">total_anneal_steps</span><span class="p">):</span>
 
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Constructor</span>
 
@@ -486,11 +527,17 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="c1"># total annealing steps</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">total_anneal_steps</span> <span class="o">=</span> <span class="n">total_anneal_steps</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_train_begin"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_train_begin">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialise a list in which the beta value will be saved at the end of each epoch.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span> <span class="o">=</span> <span class="p">[]</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_batch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_batch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_batch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_batch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each batch the beta should is updated until it reaches the values of anneal cap.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">update_count</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_count</span> <span class="o">+</span> <span class="mi">1</span>
 
@@ -500,20 +547,32 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="n">K</span><span class="o">.</span><span class="n">set_value</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">,</span> <span class="n">new_beta</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.on_epoch_end"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.on_epoch_end">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end">[docs]</a>
+    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">epoch</span><span class="p">,</span> <span class="n">logs</span><span class="o">=</span><span class="p">{}):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;At the end of each epoch save the value of beta in _beta list.&quot;&quot;&quot;</span>
         <span class="n">tmp</span> <span class="o">=</span> <span class="n">K</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">tmp</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="AnnealingCallback.get_data"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.get_data">[docs]</a>    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="AnnealingCallback.get_data">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.AnnealingCallback.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns a list of the beta values per epoch.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span></div>
+</div>
+
 
 
-<div class="viewcode-block" id="StandardVAE"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE">[docs]</a><span class="k">class</span> <span class="nc">StandardVAE</span><span class="p">:</span>
+<div class="viewcode-block" id="StandardVAE">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE">[docs]</a>
+<span class="k">class</span> <span class="nc">StandardVAE</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Standard Variational Autoencoders (VAE) for Collaborative Filtering implementation.&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="StandardVAE.__init__"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+<div class="viewcode-block" id="StandardVAE.__init__">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">n_users</span><span class="p">,</span>
         <span class="n">original_dim</span><span class="p">,</span>
@@ -594,6 +653,7 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="c1"># Create StandardVAE model</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_create_model</span><span class="p">()</span></div>
 
+
     <span class="k">def</span> <span class="nf">_create_model</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Build and compile model.&quot;&quot;&quot;</span>
         <span class="c1"># Encoding</span>
@@ -651,7 +711,9 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="k">return</span> <span class="n">_mean</span> <span class="o">+</span> <span class="n">K</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">_log_var</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">epsilon</span>
 
-<div class="viewcode-block" id="StandardVAE.nn_batch_generator"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator">[docs]</a>    <span class="k">def</span> <span class="nf">nn_batch_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">):</span>
+<div class="viewcode-block" id="StandardVAE.nn_batch_generator">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator">[docs]</a>
+    <span class="k">def</span> <span class="nf">nn_batch_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Used for splitting dataset in batches.</span>
 
 <span class="sd">        Args:</span>
@@ -680,7 +742,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
             <span class="k">if</span> <span class="n">counter</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">number_of_batches</span><span class="p">:</span>
                 <span class="n">counter</span> <span class="o">=</span> <span class="mi">0</span></div>
 
-<div class="viewcode-block" id="StandardVAE.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">x_val_tr</span><span class="p">,</span> <span class="n">x_val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">x_val_tr</span><span class="p">,</span> <span class="n">x_val_te</span><span class="p">,</span> <span class="n">mapper</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Fit model with the train sets and validate on the validation set.</span>
 
 <span class="sd">        Args:</span>
@@ -741,7 +806,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="bp">self</span><span class="o">.</span><span class="n">val_loss</span> <span class="o">=</span> <span class="n">history</span><span class="o">.</span><span class="n">val_losses</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span> <span class="o">=</span> <span class="n">metrics</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="StandardVAE.get_optimal_beta"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta">[docs]</a>    <span class="k">def</span> <span class="nf">get_optimal_beta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.get_optimal_beta">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_optimal_beta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the value of the optimal beta.&quot;&quot;&quot;</span>
         <span class="c1"># find the epoch/index that had the highest NDCG@k value</span>
         <span class="n">index_max_ndcg</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span><span class="p">)</span>
@@ -751,7 +819,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
         <span class="k">return</span> <span class="n">optimal_beta</span></div>
 
-<div class="viewcode-block" id="StandardVAE.display_metrics"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.display_metrics">[docs]</a>    <span class="k">def</span> <span class="nf">display_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.display_metrics">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.display_metrics">[docs]</a>
+    <span class="k">def</span> <span class="nf">display_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Plots:</span>
 <span class="sd">        1) Loss per epoch both for validation and train sets</span>
 <span class="sd">        2) NDCG@k per epoch of the validation set</span>
@@ -781,7 +852,10 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">&quot;TRAINING AND VALIDATION METRICS HISTORY&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
         <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">(</span><span class="n">pad</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="StandardVAE.recommend_k_items"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items">[docs]</a>    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.recommend_k_items">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items">[docs]</a>
+    <span class="k">def</span> <span class="nf">recommend_k_items</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">remove_seen</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the top-k items ordered by a relevancy score.</span>
 
 <span class="sd">        Obtained probabilities are used as recommendation score.</span>
@@ -813,10 +887,15 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
         <span class="n">top_scores</span> <span class="o">=</span> <span class="n">score</span> <span class="o">-</span> <span class="n">score_c</span>
         <span class="k">return</span> <span class="n">top_scores</span></div>
 
-<div class="viewcode-block" id="StandardVAE.ndcg_per_epoch"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch">[docs]</a>    <span class="k">def</span> <span class="nf">ndcg_per_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="StandardVAE.ndcg_per_epoch">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch">[docs]</a>
+    <span class="k">def</span> <span class="nf">ndcg_per_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the list of NDCG@k at each epoch.&quot;&quot;&quot;</span>
 
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_ndcg</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -857,7 +936,7 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -881,8 +960,8 @@ <h1>Source code for recommenders.models.vae.standard_vae</h1><div class="highlig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/vowpal_wabbit/vw.html b/docs/_build/html/_modules/recommenders/models/vowpal_wabbit/vw.html
index 7af3e3dc2..6bd1d4aa8 100644
--- a/docs/_build/html/_modules/recommenders/models/vowpal_wabbit/vw.html
+++ b/docs/_build/html/_modules/recommenders/models/vowpal_wabbit/vw.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
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     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
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+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
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 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/vowpal_wabbit/vw';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/vowpal_wabbit/vw.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -349,7 +359,9 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="VW"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW">[docs]</a><span class="k">class</span> <span class="nc">VW</span><span class="p">:</span>
+<div class="viewcode-block" id="VW">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW">[docs]</a>
+<span class="k">class</span> <span class="nc">VW</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Vowpal Wabbit Class&quot;&quot;&quot;</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
@@ -389,7 +401,9 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
         <span class="bp">self</span><span class="o">.</span><span class="n">train_cmd</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">parse_train_params</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">kwargs</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">test_cmd</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">parse_test_params</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">kwargs</span><span class="p">)</span>
 
-<div class="viewcode-block" id="VW.to_vw_cmd"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd">[docs]</a>    <span class="nd">@staticmethod</span>
+<div class="viewcode-block" id="VW.to_vw_cmd">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd">[docs]</a>
+    <span class="nd">@staticmethod</span>
     <span class="k">def</span> <span class="nf">to_vw_cmd</span><span class="p">(</span><span class="n">params</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert dictionary of parameters to vw command line.</span>
 
@@ -414,7 +428,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
 
         <span class="k">return</span> <span class="n">cmd</span></div>
 
-<div class="viewcode-block" id="VW.parse_train_params"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params">[docs]</a>    <span class="k">def</span> <span class="nf">parse_train_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.parse_train_params">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params">[docs]</a>
+    <span class="k">def</span> <span class="nf">parse_train_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse input hyper-parameters to build vw train commands</span>
 
 <span class="sd">        Args:</span>
@@ -453,7 +470,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
         <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">to_vw_cmd</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">train_params</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="VW.parse_test_params"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params">[docs]</a>    <span class="k">def</span> <span class="nf">parse_test_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.parse_test_params">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params">[docs]</a>
+    <span class="k">def</span> <span class="nf">parse_test_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse input hyper-parameters to build vw test commands</span>
 
 <span class="sd">        Args:</span>
@@ -514,7 +534,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
         <span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">to_vw_cmd</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">test_params</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="VW.to_vw_file"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file">[docs]</a>    <span class="k">def</span> <span class="nf">to_vw_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">train</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.to_vw_file">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">to_vw_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">train</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert Pandas DataFrame to vw input format file</span>
 
 <span class="sd">        Args:</span>
@@ -554,7 +577,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
                     <span class="p">)</span>
                 <span class="p">)</span></div>
 
-<div class="viewcode-block" id="VW.fit"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.fit">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Train model</span>
 
 <span class="sd">        Args:</span>
@@ -567,7 +593,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
         <span class="c1"># train model</span>
         <span class="n">run</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">train_cmd</span><span class="p">,</span> <span class="n">check</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="VW.predict"><a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
+
+<div class="viewcode-block" id="VW.predict">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.vowpal_wabbit.vw.VW.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Predict results</span>
 
 <span class="sd">        Args:</span>
@@ -590,8 +619,10 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
             <span class="p">)</span>
         <span class="p">)</span></div>
 
+
     <span class="k">def</span> <span class="fm">__del__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">tempdir</span><span class="o">.</span><span class="n">cleanup</span><span class="p">()</span></div>
+
 </pre></div>
 
                 </article>
@@ -632,7 +663,7 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -656,8 +687,8 @@ <h1>Source code for recommenders.models.vowpal_wabbit.vw</h1><div class="highlig
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/models/wide_deep/wide_deep_utils.html b/docs/_build/html/_modules/recommenders/models/wide_deep/wide_deep_utils.html
index 4f76014c3..9447a9ebe 100644
--- a/docs/_build/html/_modules/recommenders/models/wide_deep/wide_deep_utils.html
+++ b/docs/_build/html/_modules/recommenders/models/wide_deep/wide_deep_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
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-    <script src="../../../../_static/jquery.js"></script>
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-    <script src="../../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../../_static/togglebutton.js"></script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/models/wide_deep/wide_deep_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/models/wide_deep/wide_deep_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -335,7 +345,9 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
 <span class="kn">from</span> <span class="nn">recommenders.utils.tf_utils</span> <span class="kn">import</span> <span class="n">MODEL_DIR</span>
 
 
-<div class="viewcode-block" id="build_feature_columns"><a class="viewcode-back" href="../../../../models.html#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns">[docs]</a><span class="k">def</span> <span class="nf">build_feature_columns</span><span class="p">(</span>
+<div class="viewcode-block" id="build_feature_columns">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns">[docs]</a>
+<span class="k">def</span> <span class="nf">build_feature_columns</span><span class="p">(</span>
     <span class="n">users</span><span class="p">,</span>
     <span class="n">items</span><span class="p">,</span>
     <span class="n">user_col</span><span class="o">=</span><span class="n">DEFAULT_USER_COL</span><span class="p">,</span>
@@ -397,6 +409,7 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
         <span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_build_wide_columns</span><span class="p">(</span><span class="n">user_ids</span><span class="p">,</span> <span class="n">item_ids</span><span class="p">,</span> <span class="n">hash_bucket_size</span><span class="o">=</span><span class="mi">1000</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Build wide feature (crossed) columns. `user_ids` * `item_ids` are hashed into `hash_bucket_size`</span>
 
@@ -454,7 +467,9 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
     <span class="k">return</span> <span class="n">deep_columns</span>
 
 
-<div class="viewcode-block" id="build_model"><a class="viewcode-back" href="../../../../models.html#recommenders.models.wide_deep.wide_deep_utils.build_model">[docs]</a><span class="k">def</span> <span class="nf">build_model</span><span class="p">(</span>
+<div class="viewcode-block" id="build_model">
+<a class="viewcode-back" href="../../../../models.html#recommenders.models.wide_deep.wide_deep_utils.build_model">[docs]</a>
+<span class="k">def</span> <span class="nf">build_model</span><span class="p">(</span>
     <span class="n">model_dir</span><span class="o">=</span><span class="n">MODEL_DIR</span><span class="p">,</span>
     <span class="n">wide_columns</span><span class="o">=</span><span class="p">(),</span>
     <span class="n">deep_columns</span><span class="o">=</span><span class="p">(),</span>
@@ -539,6 +554,7 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
         <span class="p">)</span>
 
     <span class="k">return</span> <span class="n">model</span></div>
+
 </pre></div>
 
                 </article>
@@ -579,7 +595,7 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -603,8 +619,8 @@ <h1>Source code for recommenders.models.wide_deep.wide_deep_utils</h1><div class
   </div>
   
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diff --git a/docs/_build/html/_modules/recommenders/tuning/parameter_sweep.html b/docs/_build/html/_modules/recommenders/tuning/parameter_sweep.html
index b21021c7a..1a2ebab9c 100644
--- a/docs/_build/html/_modules/recommenders/tuning/parameter_sweep.html
+++ b/docs/_build/html/_modules/recommenders/tuning/parameter_sweep.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/tuning/parameter_sweep';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/tuning/parameter_sweep.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -334,7 +344,9 @@ <h1>Source code for recommenders.tuning.parameter_sweep</h1><div class="highligh
 <span class="kn">from</span> <span class="nn">itertools</span> <span class="kn">import</span> <span class="n">product</span>
 
 
-<div class="viewcode-block" id="generate_param_grid"><a class="viewcode-back" href="../../../tuning.html#recommenders.tuning.parameter_sweep.generate_param_grid">[docs]</a><span class="k">def</span> <span class="nf">generate_param_grid</span><span class="p">(</span><span class="n">params</span><span class="p">):</span>
+<div class="viewcode-block" id="generate_param_grid">
+<a class="viewcode-back" href="../../../tuning.html#recommenders.tuning.parameter_sweep.generate_param_grid">[docs]</a>
+<span class="k">def</span> <span class="nf">generate_param_grid</span><span class="p">(</span><span class="n">params</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Generator of parameter grids.</span>
 <span class="sd">    Generate parameter lists from a parameter dictionary in the form of:</span>
 
@@ -382,6 +394,7 @@ <h1>Source code for recommenders.tuning.parameter_sweep</h1><div class="highligh
         <span class="n">params_exp</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">param_exp</span><span class="p">)</span>
 
     <span class="k">return</span> <span class="n">params_exp</span></div>
+
 </pre></div>
 
                 </article>
@@ -422,7 +435,7 @@ <h1>Source code for recommenders.tuning.parameter_sweep</h1><div class="highligh
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -446,8 +459,8 @@ <h1>Source code for recommenders.tuning.parameter_sweep</h1><div class="highligh
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/docs/_build/html/_modules/recommenders/utils/general_utils.html b/docs/_build/html/_modules/recommenders/utils/general_utils.html
index b43e7bcfe..6c749a6b7 100644
--- a/docs/_build/html/_modules/recommenders/utils/general_utils.html
+++ b/docs/_build/html/_modules/recommenders/utils/general_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/general_utils';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -333,7 +343,9 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
 <span class="kn">import</span> <span class="nn">psutil</span>
 
 
-<div class="viewcode-block" id="invert_dictionary"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.invert_dictionary">[docs]</a><span class="k">def</span> <span class="nf">invert_dictionary</span><span class="p">(</span><span class="n">dictionary</span><span class="p">):</span>
+<div class="viewcode-block" id="invert_dictionary">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.invert_dictionary">[docs]</a>
+<span class="k">def</span> <span class="nf">invert_dictionary</span><span class="p">(</span><span class="n">dictionary</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Invert a dictionary</span>
 
 <span class="sd">    Note:</span>
@@ -350,7 +362,10 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
     <span class="k">return</span> <span class="p">{</span><span class="n">v</span><span class="p">:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">dictionary</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span></div>
 
 
-<div class="viewcode-block" id="get_physical_memory"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.get_physical_memory">[docs]</a><span class="k">def</span> <span class="nf">get_physical_memory</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_physical_memory">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.get_physical_memory">[docs]</a>
+<span class="k">def</span> <span class="nf">get_physical_memory</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the physical memory in GBs.</span>
 
 <span class="sd">    Returns:</span>
@@ -359,7 +374,10 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
     <span class="k">return</span> <span class="n">psutil</span><span class="o">.</span><span class="n">virtual_memory</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span> <span class="o">/</span> <span class="mi">1073741824</span></div>
 
 
-<div class="viewcode-block" id="get_number_processors"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.get_number_processors">[docs]</a><span class="k">def</span> <span class="nf">get_number_processors</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_number_processors">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.general_utils.get_number_processors">[docs]</a>
+<span class="k">def</span> <span class="nf">get_number_processors</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the number of processors in a CPU.</span>
 
 <span class="sd">    Returns:</span>
@@ -372,6 +390,7 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
 
         <span class="n">num</span> <span class="o">=</span> <span class="n">multiprocessing</span><span class="o">.</span><span class="n">cpu_count</span><span class="p">()</span>
     <span class="k">return</span> <span class="n">num</span></div>
+
 </pre></div>
 
                 </article>
@@ -412,7 +431,7 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -436,8 +455,8 @@ <h1>Source code for recommenders.utils.general_utils</h1><div class="highlight">
   </div>
   
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-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/docs/_build/html/_modules/recommenders/utils/gpu_utils.html b/docs/_build/html/_modules/recommenders/utils/gpu_utils.html
index 788dd227a..9a9ed412c 100644
--- a/docs/_build/html/_modules/recommenders/utils/gpu_utils.html
+++ b/docs/_build/html/_modules/recommenders/utils/gpu_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/gpu_utils';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -343,7 +353,9 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
 <span class="n">DEFAULT_CUDA_PATH_LINUX</span> <span class="o">=</span> <span class="s2">&quot;/usr/local/cuda/version.txt&quot;</span>
 
 
-<div class="viewcode-block" id="get_number_gpus"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_number_gpus">[docs]</a><span class="k">def</span> <span class="nf">get_number_gpus</span><span class="p">():</span>
+<div class="viewcode-block" id="get_number_gpus">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_number_gpus">[docs]</a>
+<span class="k">def</span> <span class="nf">get_number_gpus</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the number of GPUs in the system.</span>
 <span class="sd">    Returns:</span>
 <span class="sd">        int: Number of GPUs.</span>
@@ -362,7 +374,10 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
         <span class="k">return</span> <span class="mi">0</span></div>
 
 
-<div class="viewcode-block" id="get_gpu_info"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_gpu_info">[docs]</a><span class="k">def</span> <span class="nf">get_gpu_info</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_gpu_info">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_gpu_info">[docs]</a>
+<span class="k">def</span> <span class="nf">get_gpu_info</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get information of GPUs.</span>
 
 <span class="sd">    Returns:</span>
@@ -386,7 +401,10 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">gpus</span></div>
 
 
-<div class="viewcode-block" id="clear_memory_all_gpus"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.clear_memory_all_gpus">[docs]</a><span class="k">def</span> <span class="nf">clear_memory_all_gpus</span><span class="p">():</span>
+
+<div class="viewcode-block" id="clear_memory_all_gpus">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.clear_memory_all_gpus">[docs]</a>
+<span class="k">def</span> <span class="nf">clear_memory_all_gpus</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Clear memory of all GPUs.&quot;&quot;&quot;</span>
     <span class="k">try</span><span class="p">:</span>
         <span class="k">for</span> <span class="n">gpu</span> <span class="ow">in</span> <span class="n">cuda</span><span class="o">.</span><span class="n">gpus</span><span class="p">:</span>
@@ -396,7 +414,10 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
         <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;No CUDA available&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_cuda_version"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_cuda_version">[docs]</a><span class="k">def</span> <span class="nf">get_cuda_version</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_cuda_version">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_cuda_version">[docs]</a>
+<span class="k">def</span> <span class="nf">get_cuda_version</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get CUDA version</span>
 
 <span class="sd">    Returns:</span>
@@ -428,7 +449,10 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
             <span class="k">return</span> <span class="kc">None</span></div>
 
 
-<div class="viewcode-block" id="get_cudnn_version"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_cudnn_version">[docs]</a><span class="k">def</span> <span class="nf">get_cudnn_version</span><span class="p">():</span>
+
+<div class="viewcode-block" id="get_cudnn_version">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.gpu_utils.get_cudnn_version">[docs]</a>
+<span class="k">def</span> <span class="nf">get_cudnn_version</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the CuDNN version</span>
 
 <span class="sd">    Returns:</span>
@@ -476,6 +500,7 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
         <span class="k">else</span><span class="p">:</span>
             <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Not in Windows, Linux or Mac&quot;</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">find_cudnn_in_headers</span><span class="p">(</span><span class="n">candidates</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -516,7 +541,7 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -540,8 +565,8 @@ <h1>Source code for recommenders.utils.gpu_utils</h1><div class="highlight"><pre
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diff --git a/docs/_build/html/_modules/recommenders/utils/k8s_utils.html b/docs/_build/html/_modules/recommenders/utils/k8s_utils.html
index 9a26a8e23..079986d56 100644
--- a/docs/_build/html/_modules/recommenders/utils/k8s_utils.html
+++ b/docs/_build/html/_modules/recommenders/utils/k8s_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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 </form></div>
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+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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@@ -335,7 +345,9 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="qps_to_replicas"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.qps_to_replicas">[docs]</a><span class="k">def</span> <span class="nf">qps_to_replicas</span><span class="p">(</span>
+<div class="viewcode-block" id="qps_to_replicas">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.qps_to_replicas">[docs]</a>
+<span class="k">def</span> <span class="nf">qps_to_replicas</span><span class="p">(</span>
     <span class="n">target_qps</span><span class="p">,</span> <span class="n">processing_time</span><span class="p">,</span> <span class="n">max_qp_replica</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">target_utilization</span><span class="o">=</span><span class="mf">0.7</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Provide a rough estimate of the number of replicas to support a given</span>
@@ -361,7 +373,10 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">replicas</span></div>
 
 
-<div class="viewcode-block" id="replicas_to_qps"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.replicas_to_qps">[docs]</a><span class="k">def</span> <span class="nf">replicas_to_qps</span><span class="p">(</span>
+
+<div class="viewcode-block" id="replicas_to_qps">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.replicas_to_qps">[docs]</a>
+<span class="k">def</span> <span class="nf">replicas_to_qps</span><span class="p">(</span>
     <span class="n">num_replicas</span><span class="p">,</span> <span class="n">processing_time</span><span class="p">,</span> <span class="n">max_qp_replica</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">target_utilization</span><span class="o">=</span><span class="mf">0.7</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Provide a rough estimate of the queries per second supported by a number of replicas</span>
@@ -384,7 +399,10 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
     <span class="k">return</span> <span class="n">qps</span></div>
 
 
-<div class="viewcode-block" id="nodes_to_replicas"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.nodes_to_replicas">[docs]</a><span class="k">def</span> <span class="nf">nodes_to_replicas</span><span class="p">(</span><span class="n">n_cores_per_node</span><span class="p">,</span> <span class="n">n_nodes</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">cpu_cores_per_replica</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
+
+<div class="viewcode-block" id="nodes_to_replicas">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.k8s_utils.nodes_to_replicas">[docs]</a>
+<span class="k">def</span> <span class="nf">nodes_to_replicas</span><span class="p">(</span><span class="n">n_cores_per_node</span><span class="p">,</span> <span class="n">n_nodes</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">cpu_cores_per_replica</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Provide a rough estimate of the number of replicas supported by a</span>
 <span class="sd">    given number of nodes with n_cores_per_node cores each</span>
 
@@ -407,6 +425,7 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
         <span class="p">)</span>
     <span class="p">)</span>
     <span class="k">return</span> <span class="n">replicas</span></div>
+
 </pre></div>
 
                 </article>
@@ -447,7 +466,7 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -471,8 +490,8 @@ <h1>Source code for recommenders.utils.k8s_utils</h1><div class="highlight"><pre
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/docs/_build/html/_modules/recommenders/utils/notebook_memory_management.html b/docs/_build/html/_modules/recommenders/utils/notebook_memory_management.html
index 29262e395..f4953a715 100644
--- a/docs/_build/html/_modules/recommenders/utils/notebook_memory_management.html
+++ b/docs/_build/html/_modules/recommenders/utils/notebook_memory_management.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
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@@ -18,54 +17,58 @@
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
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-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/notebook_memory_management';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/notebook_memory_management.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -364,7 +374,9 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
     <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s2">&quot;Not running on notebook&quot;</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="start_watching_memory"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.start_watching_memory">[docs]</a><span class="k">def</span> <span class="nf">start_watching_memory</span><span class="p">():</span>
+<div class="viewcode-block" id="start_watching_memory">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.start_watching_memory">[docs]</a>
+<span class="k">def</span> <span class="nf">start_watching_memory</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Register memory profiling tools to IPython instance.&quot;&quot;&quot;</span>
     <span class="k">global</span> <span class="n">watching_memory</span>
     <span class="n">watching_memory</span> <span class="o">=</span> <span class="kc">True</span>
@@ -373,7 +385,10 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
     <span class="n">ip</span><span class="o">.</span><span class="n">events</span><span class="o">.</span><span class="n">register</span><span class="p">(</span><span class="s2">&quot;pre_run_cell&quot;</span><span class="p">,</span> <span class="n">pre_run_cell</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="stop_watching_memory"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.stop_watching_memory">[docs]</a><span class="k">def</span> <span class="nf">stop_watching_memory</span><span class="p">():</span>
+
+<div class="viewcode-block" id="stop_watching_memory">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.stop_watching_memory">[docs]</a>
+<span class="k">def</span> <span class="nf">stop_watching_memory</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Unregister memory profiling tools from IPython instance.&quot;&quot;&quot;</span>
     <span class="k">global</span> <span class="n">watching_memory</span>
     <span class="n">watching_memory</span> <span class="o">=</span> <span class="kc">False</span>
@@ -390,7 +405,10 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
         <span class="k">pass</span></div>
 
 
-<div class="viewcode-block" id="watch_memory"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.watch_memory">[docs]</a><span class="k">def</span> <span class="nf">watch_memory</span><span class="p">():</span>
+
+<div class="viewcode-block" id="watch_memory">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.watch_memory">[docs]</a>
+<span class="k">def</span> <span class="nf">watch_memory</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Bring in the global memory usage value from the previous iteration&quot;&quot;&quot;</span>
     <span class="k">global</span> <span class="n">previous_call_memory_usage</span><span class="p">,</span> <span class="n">keep_watching</span><span class="p">,</span> <span class="n">watching_memory</span><span class="p">,</span> <span class="n">input_cells</span>
     <span class="n">new_memory_usage</span> <span class="o">=</span> <span class="n">memory_profiler</span><span class="o">.</span><span class="n">memory_usage</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
@@ -420,10 +438,14 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
     <span class="n">previous_call_memory_usage</span> <span class="o">=</span> <span class="n">new_memory_usage</span></div>
 
 
-<div class="viewcode-block" id="pre_run_cell"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.pre_run_cell">[docs]</a><span class="k">def</span> <span class="nf">pre_run_cell</span><span class="p">():</span>
+
+<div class="viewcode-block" id="pre_run_cell">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_memory_management.pre_run_cell">[docs]</a>
+<span class="k">def</span> <span class="nf">pre_run_cell</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Capture current time before we execute the current command&quot;&quot;&quot;</span>
     <span class="k">global</span> <span class="n">t1</span>
     <span class="n">t1</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span></div>
+
 </pre></div>
 
                 </article>
@@ -464,7 +486,7 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -488,8 +510,8 @@ <h1>Source code for recommenders.utils.notebook_memory_management</h1><div class
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/utils/notebook_utils.html b/docs/_build/html/_modules/recommenders/utils/notebook_utils.html
index 2c076fda9..8189951b0 100644
--- a/docs/_build/html/_modules/recommenders/utils/notebook_utils.html
+++ b/docs/_build/html/_modules/recommenders/utils/notebook_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
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-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
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   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
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-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
-    <script src="../../../_static/jquery.js"></script>
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-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/notebook_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/notebook_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -339,7 +349,9 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
 <span class="n">NOTEBOOK_OUTPUT_CONTENT_TYPE</span> <span class="o">=</span> <span class="s2">&quot;application/notebook_utils.json+json&quot;</span>
 
 
-<div class="viewcode-block" id="is_jupyter"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.is_jupyter">[docs]</a><span class="k">def</span> <span class="nf">is_jupyter</span><span class="p">():</span>
+<div class="viewcode-block" id="is_jupyter">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.is_jupyter">[docs]</a>
+<span class="k">def</span> <span class="nf">is_jupyter</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if the module is running on Jupyter notebook/console.</span>
 
 <span class="sd">    Returns:</span>
@@ -356,7 +368,10 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
         <span class="k">return</span> <span class="kc">False</span></div>
 
 
-<div class="viewcode-block" id="is_databricks"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.is_databricks">[docs]</a><span class="k">def</span> <span class="nf">is_databricks</span><span class="p">():</span>
+
+<div class="viewcode-block" id="is_databricks">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.is_databricks">[docs]</a>
+<span class="k">def</span> <span class="nf">is_databricks</span><span class="p">():</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if the module is running on Databricks.</span>
 
 <span class="sd">    Returns:</span>
@@ -372,6 +387,7 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
         <span class="k">return</span> <span class="kc">False</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_update_parameters</span><span class="p">(</span><span class="n">parameter_cell_source</span><span class="p">,</span> <span class="n">new_parameters</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Replace parameter values in the cell source code.&quot;&quot;&quot;</span>
     <span class="n">modified_cell_source</span> <span class="o">=</span> <span class="n">parameter_cell_source</span>
@@ -391,7 +407,9 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
     <span class="k">return</span> <span class="n">modified_cell_source</span>
 
 
-<div class="viewcode-block" id="execute_notebook"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.execute_notebook">[docs]</a><span class="k">def</span> <span class="nf">execute_notebook</span><span class="p">(</span>
+<div class="viewcode-block" id="execute_notebook">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.execute_notebook">[docs]</a>
+<span class="k">def</span> <span class="nf">execute_notebook</span><span class="p">(</span>
     <span class="n">input_notebook</span><span class="p">,</span> <span class="n">output_notebook</span><span class="p">,</span> <span class="n">parameters</span><span class="o">=</span><span class="p">{},</span> <span class="n">kernel_name</span><span class="o">=</span><span class="s2">&quot;python3&quot;</span><span class="p">,</span> <span class="n">timeout</span><span class="o">=</span><span class="mi">2200</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Execute a notebook while passing parameters to it.</span>
@@ -436,7 +454,10 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
         <span class="n">nbformat</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">executed_notebook</span><span class="p">,</span> <span class="n">executed_notebook_file</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="store_metadata"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.store_metadata">[docs]</a><span class="k">def</span> <span class="nf">store_metadata</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+
+<div class="viewcode-block" id="store_metadata">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.store_metadata">[docs]</a>
+<span class="k">def</span> <span class="nf">store_metadata</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Store data in the notebook&#39;s output source code.</span>
 <span class="sd">    This function is similar to snapbook.glue().</span>
 
@@ -456,7 +477,10 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
     <span class="n">display</span><span class="p">(</span><span class="n">data_json</span><span class="p">,</span> <span class="n">metadata</span><span class="o">=</span><span class="n">metadata</span><span class="p">,</span> <span class="n">raw</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="read_notebook"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.read_notebook">[docs]</a><span class="k">def</span> <span class="nf">read_notebook</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
+
+<div class="viewcode-block" id="read_notebook">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.notebook_utils.read_notebook">[docs]</a>
+<span class="k">def</span> <span class="nf">read_notebook</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Read the metadata stored in the notebook&#39;s output source code.</span>
 <span class="sd">    This function is similar to snapbook.read_notebook().</span>
 
@@ -480,6 +504,7 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
                     <span class="n">data</span> <span class="o">=</span> <span class="n">outputs</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">NOTEBOOK_OUTPUT_CONTENT_TYPE</span><span class="p">][</span><span class="s2">&quot;data&quot;</span><span class="p">]</span>
                     <span class="n">results</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span>
     <span class="k">return</span> <span class="n">results</span></div>
+
 </pre></div>
 
                 </article>
@@ -520,7 +545,7 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -544,8 +569,8 @@ <h1>Source code for recommenders.utils.notebook_utils</h1><div class="highlight"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/docs/_build/html/_modules/recommenders/utils/plot.html b/docs/_build/html/_modules/recommenders/utils/plot.html
index 05a392e51..de09107da 100644
--- a/docs/_build/html/_modules/recommenders/utils/plot.html
+++ b/docs/_build/html/_modules/recommenders/utils/plot.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/plot';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/plot.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -329,7 +339,9 @@ <h1>Source code for recommenders.utils.plot</h1><div class="highlight"><pre>
 <span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 
 
-<div class="viewcode-block" id="line_graph"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.plot.line_graph">[docs]</a><span class="k">def</span> <span class="nf">line_graph</span><span class="p">(</span>
+<div class="viewcode-block" id="line_graph">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.plot.line_graph">[docs]</a>
+<span class="k">def</span> <span class="nf">line_graph</span><span class="p">(</span>
     <span class="n">values</span><span class="p">,</span>
     <span class="n">labels</span><span class="p">,</span>
     <span class="n">x_guides</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -405,6 +417,7 @@ <h1>Source code for recommenders.utils.plot</h1><div class="highlight"><pre>
         <span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">*</span><span class="n">y_min_max</span><span class="p">)</span>
     <span class="k">if</span> <span class="n">legend_loc</span><span class="p">:</span>
         <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="n">legend_loc</span><span class="p">)</span></div>
+
 </pre></div>
 
                 </article>
@@ -445,7 +458,7 @@ <h1>Source code for recommenders.utils.plot</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -469,8 +482,8 @@ <h1>Source code for recommenders.utils.plot</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
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diff --git a/docs/_build/html/_modules/recommenders/utils/python_utils.html b/docs/_build/html/_modules/recommenders/utils/python_utils.html
index cf982842b..d4aa1c2ae 100644
--- a/docs/_build/html/_modules/recommenders/utils/python_utils.html
+++ b/docs/_build/html/_modules/recommenders/utils/python_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
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+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
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+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/python_utils';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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-
   
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@@ -120,13 +122,10 @@
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 </form></div>
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-
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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-  </header>
 
   <div class="bd-container">
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@@ -167,7 +166,18 @@
   
   
 </a></div>
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -337,7 +347,9 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
 <span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="exponential_decay"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.exponential_decay">[docs]</a><span class="k">def</span> <span class="nf">exponential_decay</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">max_val</span><span class="p">,</span> <span class="n">half_life</span><span class="p">):</span>
+<div class="viewcode-block" id="exponential_decay">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.exponential_decay">[docs]</a>
+<span class="k">def</span> <span class="nf">exponential_decay</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">max_val</span><span class="p">,</span> <span class="n">half_life</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Compute decay factor for a given value based on an exponential decay.</span>
 
 <span class="sd">    Values greater than `max_val` will be set to 1.</span>
@@ -353,6 +365,7 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">power</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="p">(</span><span class="n">max_val</span> <span class="o">-</span> <span class="n">value</span><span class="p">)</span> <span class="o">/</span> <span class="n">half_life</span><span class="p">))</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_get_row_and_column_matrix</span><span class="p">(</span><span class="n">array</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to get the row and column matrix from an array.</span>
 
@@ -367,7 +380,9 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">row_matrix</span><span class="p">,</span> <span class="n">column_matrix</span>
 
 
-<div class="viewcode-block" id="jaccard"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.jaccard">[docs]</a><span class="k">def</span> <span class="nf">jaccard</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+<div class="viewcode-block" id="jaccard">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.jaccard">[docs]</a>
+<span class="k">def</span> <span class="nf">jaccard</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Jaccard similarity of a matrix of</span>
 <span class="sd">    co-occurrences.  When comparing Jaccard with count co-occurrence</span>
 <span class="sd">    and lift similarity, count favours predictability, meaning that</span>
@@ -393,7 +408,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="lift"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.lift">[docs]</a><span class="k">def</span> <span class="nf">lift</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="lift">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.lift">[docs]</a>
+<span class="k">def</span> <span class="nf">lift</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Lift of a matrix of</span>
 <span class="sd">    co-occurrences. In comparison with basic co-occurrence and Jaccard</span>
 <span class="sd">    similarity, lift favours discoverability and serendipity, as</span>
@@ -416,7 +434,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="mutual_information"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.mutual_information">[docs]</a><span class="k">def</span> <span class="nf">mutual_information</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="mutual_information">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.mutual_information">[docs]</a>
+<span class="k">def</span> <span class="nf">mutual_information</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Mutual Information of a matrix of</span>
 <span class="sd">    co-occurrences.</span>
 
@@ -437,7 +458,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="lexicographers_mutual_information"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.lexicographers_mutual_information">[docs]</a><span class="k">def</span> <span class="nf">lexicographers_mutual_information</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="lexicographers_mutual_information">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.lexicographers_mutual_information">[docs]</a>
+<span class="k">def</span> <span class="nf">lexicographers_mutual_information</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Lexicographers Mutual Information of</span>
 <span class="sd">    a matrix of co-occurrences.</span>
 
@@ -459,7 +483,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="cosine_similarity"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.cosine_similarity">[docs]</a><span class="k">def</span> <span class="nf">cosine_similarity</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="cosine_similarity">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.cosine_similarity">[docs]</a>
+<span class="k">def</span> <span class="nf">cosine_similarity</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Cosine similarity of a matrix of</span>
 <span class="sd">    co-occurrences.</span>
 
@@ -482,7 +509,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="inclusion_index"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.inclusion_index">[docs]</a><span class="k">def</span> <span class="nf">inclusion_index</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
+
+<div class="viewcode-block" id="inclusion_index">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.inclusion_index">[docs]</a>
+<span class="k">def</span> <span class="nf">inclusion_index</span><span class="p">(</span><span class="n">cooccurrence</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Helper method to calculate the Inclusion Index of a matrix of</span>
 <span class="sd">    co-occurrences.</span>
 
@@ -504,7 +534,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="get_top_k_scored_items"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.get_top_k_scored_items">[docs]</a><span class="k">def</span> <span class="nf">get_top_k_scored_items</span><span class="p">(</span><span class="n">scores</span><span class="p">,</span> <span class="n">top_k</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+
+<div class="viewcode-block" id="get_top_k_scored_items">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.get_top_k_scored_items">[docs]</a>
+<span class="k">def</span> <span class="nf">get_top_k_scored_items</span><span class="p">(</span><span class="n">scores</span><span class="p">,</span> <span class="n">top_k</span><span class="p">,</span> <span class="n">sort_top_k</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Extract top K items from a matrix of scores for each user-item pair, optionally sort results per user.</span>
 
 <span class="sd">    Args:</span>
@@ -544,7 +577,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">top_items</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">top_scores</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="binarize"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.binarize">[docs]</a><span class="k">def</span> <span class="nf">binarize</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">threshold</span><span class="p">):</span>
+
+<div class="viewcode-block" id="binarize">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.binarize">[docs]</a>
+<span class="k">def</span> <span class="nf">binarize</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">threshold</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Binarize the values.</span>
 
 <span class="sd">    Args:</span>
@@ -557,7 +593,10 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">a</span> <span class="o">&gt;</span> <span class="n">threshold</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="rescale"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.rescale">[docs]</a><span class="k">def</span> <span class="nf">rescale</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">new_min</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">new_max</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">data_min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">data_max</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="rescale">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.python_utils.rescale">[docs]</a>
+<span class="k">def</span> <span class="nf">rescale</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">new_min</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">new_max</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">data_min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">data_max</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Rescale/normalize the data to be within the range `[new_min, new_max]`</span>
 <span class="sd">    If data_min and data_max are explicitly provided, they will be used</span>
 <span class="sd">    as the old min/max values instead of taken from the data.</span>
@@ -579,6 +618,7 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
     <span class="n">data_min</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">min</span><span class="p">()</span> <span class="k">if</span> <span class="n">data_min</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">data_min</span>
     <span class="n">data_max</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">()</span> <span class="k">if</span> <span class="n">data_max</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">data_max</span>
     <span class="k">return</span> <span class="p">(</span><span class="n">data</span> <span class="o">-</span> <span class="n">data_min</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">data_max</span> <span class="o">-</span> <span class="n">data_min</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">new_max</span> <span class="o">-</span> <span class="n">new_min</span><span class="p">)</span> <span class="o">+</span> <span class="n">new_min</span></div>
+
 </pre></div>
 
                 </article>
@@ -619,7 +659,7 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -643,8 +683,8 @@ <h1>Source code for recommenders.utils.python_utils</h1><div class="highlight"><
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/docs/_build/html/_modules/recommenders/utils/spark_utils.html b/docs/_build/html/_modules/recommenders/utils/spark_utils.html
index e1dbc9cb9..3ee64da5e 100644
--- a/docs/_build/html/_modules/recommenders/utils/spark_utils.html
+++ b/docs/_build/html/_modules/recommenders/utils/spark_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
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+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/spark_utils';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/spark_utils.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
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+        <div class="sidebar-primary-item">
+
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -344,7 +354,9 @@ <h1>Source code for recommenders.utils.spark_utils</h1><div class="highlight"><p
 <span class="c1"># MMLSPARK_REPO = &quot;https://mvnrepository.com/artifact&quot;</span>
 
 
-<div class="viewcode-block" id="start_or_get_spark"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.spark_utils.start_or_get_spark">[docs]</a><span class="k">def</span> <span class="nf">start_or_get_spark</span><span class="p">(</span>
+<div class="viewcode-block" id="start_or_get_spark">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.spark_utils.start_or_get_spark">[docs]</a>
+<span class="k">def</span> <span class="nf">start_or_get_spark</span><span class="p">(</span>
     <span class="n">app_name</span><span class="o">=</span><span class="s2">&quot;Sample&quot;</span><span class="p">,</span>
     <span class="n">url</span><span class="o">=</span><span class="s2">&quot;local[*]&quot;</span><span class="p">,</span>
     <span class="n">memory</span><span class="o">=</span><span class="s2">&quot;10g&quot;</span><span class="p">,</span>
@@ -399,6 +411,7 @@ <h1>Source code for recommenders.utils.spark_utils</h1><div class="highlight"><p
 
     <span class="n">spark_opts</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">&quot;getOrCreate()&quot;</span><span class="p">)</span>
     <span class="k">return</span> <span class="nb">eval</span><span class="p">(</span><span class="s2">&quot;.&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">spark_opts</span><span class="p">))</span></div>
+
 </pre></div>
 
                 </article>
@@ -439,7 +452,7 @@ <h1>Source code for recommenders.utils.spark_utils</h1><div class="highlight"><p
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -463,8 +476,8 @@ <h1>Source code for recommenders.utils.spark_utils</h1><div class="highlight"><p
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/docs/_build/html/_modules/recommenders/utils/tf_utils.html b/docs/_build/html/_modules/recommenders/utils/tf_utils.html
index 91c416fbc..778c91a3f 100644
--- a/docs/_build/html/_modules/recommenders/utils/tf_utils.html
+++ b/docs/_build/html/_modules/recommenders/utils/tf_utils.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
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@@ -18,54 +17,58 @@
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   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
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+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
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-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/tf_utils';</script>
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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@@ -80,7 +83,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -350,7 +360,9 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
 <span class="p">)</span>
 
 
-<div class="viewcode-block" id="pandas_input_fn_for_saved_model"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model">[docs]</a><span class="k">def</span> <span class="nf">pandas_input_fn_for_saved_model</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">feat_name_type</span><span class="p">):</span>
+<div class="viewcode-block" id="pandas_input_fn_for_saved_model">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model">[docs]</a>
+<span class="k">def</span> <span class="nf">pandas_input_fn_for_saved_model</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">feat_name_type</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Pandas input function for TensorFlow SavedModel.</span>
 
 <span class="sd">    Args:</span>
@@ -383,7 +395,10 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">input_fn</span></div>
 
 
-<div class="viewcode-block" id="pandas_input_fn"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.pandas_input_fn">[docs]</a><span class="k">def</span> <span class="nf">pandas_input_fn</span><span class="p">(</span>
+
+<div class="viewcode-block" id="pandas_input_fn">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.pandas_input_fn">[docs]</a>
+<span class="k">def</span> <span class="nf">pandas_input_fn</span><span class="p">(</span>
     <span class="n">df</span><span class="p">,</span> <span class="n">y_col</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span> <span class="n">num_epochs</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Pandas input function for TensorFlow high-level API Estimator.</span>
@@ -428,6 +443,7 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_dataset</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span> <span class="n">num_epochs</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
     <span class="k">if</span> <span class="n">y</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
         <span class="n">dataset</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">Dataset</span><span class="o">.</span><span class="n">from_tensor_slices</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
@@ -446,7 +462,9 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">dataset</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">num_epochs</span><span class="p">)</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">batch_size</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="build_optimizer"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.build_optimizer">[docs]</a><span class="k">def</span> <span class="nf">build_optimizer</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="build_optimizer">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.build_optimizer">[docs]</a>
+<span class="k">def</span> <span class="nf">build_optimizer</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Get an optimizer for TensorFlow high-level API Estimator.</span>
 
 <span class="sd">    Available options are: `adadelta`, `adagrad`, `adam`, `ftrl`, `momentum`, `rmsprop` or `sgd`.</span>
@@ -481,7 +499,10 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">optimizer_class</span><span class="p">(</span><span class="n">learning_rate</span><span class="o">=</span><span class="n">lr</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="export_model"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.export_model">[docs]</a><span class="k">def</span> <span class="nf">export_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">train_input_fn</span><span class="p">,</span> <span class="n">eval_input_fn</span><span class="p">,</span> <span class="n">tf_feat_cols</span><span class="p">,</span> <span class="n">base_dir</span><span class="p">):</span>
+
+<div class="viewcode-block" id="export_model">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.export_model">[docs]</a>
+<span class="k">def</span> <span class="nf">export_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">train_input_fn</span><span class="p">,</span> <span class="n">eval_input_fn</span><span class="p">,</span> <span class="n">tf_feat_cols</span><span class="p">,</span> <span class="n">base_dir</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Export TensorFlow estimator (model).</span>
 
 <span class="sd">    Args:</span>
@@ -512,7 +533,10 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">exported_path</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="evaluation_log_hook"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.evaluation_log_hook">[docs]</a><span class="k">def</span> <span class="nf">evaluation_log_hook</span><span class="p">(</span>
+
+<div class="viewcode-block" id="evaluation_log_hook">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.evaluation_log_hook">[docs]</a>
+<span class="k">def</span> <span class="nf">evaluation_log_hook</span><span class="p">(</span>
     <span class="n">estimator</span><span class="p">,</span>
     <span class="n">logger</span><span class="p">,</span>
     <span class="n">true_df</span><span class="p">,</span>
@@ -565,6 +589,7 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
     <span class="p">)</span></div>
 
 
+
 <span class="k">class</span> <span class="nc">_TrainLogHook</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">estimator</span><span class="o">.</span><span class="n">SessionRunHook</span><span class="p">):</span>
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
@@ -660,14 +685,21 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
             <span class="bp">self</span><span class="o">.</span><span class="n">summary_writer</span><span class="o">.</span><span class="n">add_summary</span><span class="p">(</span><span class="n">summary</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="MetricsLogger"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger">[docs]</a><span class="k">class</span> <span class="nc">MetricsLogger</span><span class="p">:</span>
+<div class="viewcode-block" id="MetricsLogger">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger">[docs]</a>
+<span class="k">class</span> <span class="nc">MetricsLogger</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Metrics logger&quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="MetricsLogger.__init__"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="MetricsLogger.__init__">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Initializer&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_log</span> <span class="o">=</span> <span class="p">{}</span></div>
 
-<div class="viewcode-block" id="MetricsLogger.log"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.log">[docs]</a>    <span class="k">def</span> <span class="nf">log</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">metric</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MetricsLogger.log">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.log">[docs]</a>
+    <span class="k">def</span> <span class="nf">log</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">metric</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Log metrics. Each metric&#39;s log will be stored in the corresponding list.</span>
 
 <span class="sd">        Args:</span>
@@ -678,13 +710,18 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
             <span class="bp">self</span><span class="o">.</span><span class="n">_log</span><span class="p">[</span><span class="n">metric</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_log</span><span class="p">[</span><span class="n">metric</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">value</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="MetricsLogger.get_log"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.get_log">[docs]</a>    <span class="k">def</span> <span class="nf">get_log</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="MetricsLogger.get_log">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.tf_utils.MetricsLogger.get_log">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_log</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Getter</span>
 
 <span class="sd">        Returns:</span>
 <span class="sd">            dict: Log metrics.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_log</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_log</span></div>
+</div>
+
 </pre></div>
 
                 </article>
@@ -725,7 +762,7 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -749,8 +786,8 @@ <h1>Source code for recommenders.utils.tf_utils</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/_modules/recommenders/utils/timer.html b/docs/_build/html/_modules/recommenders/utils/timer.html
index a93b49dcc..8eea112e3 100644
--- a/docs/_build/html/_modules/recommenders/utils/timer.html
+++ b/docs/_build/html/_modules/recommenders/utils/timer.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="../../../" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../../_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
-    <script src="../../../_static/jquery.js"></script>
-    <script src="../../../_static/underscore.js"></script>
-    <script src="../../../_static/_sphinx_javascript_frameworks_compat.js"></script>
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-    <script src="../../../_static/copybutton.js"></script>
-    <script src="../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="../../../_static/tabs.js"></script>
+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="../../../_static/togglebutton.js"></script>
+    <script src="../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="../../../_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="../../../_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="../../../_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = '_modules/recommenders/utils/timer';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/_modules/recommenders/utils/timer.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -80,7 +83,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -120,13 +122,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -167,7 +166,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -332,7 +342,9 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">timeit</span> <span class="kn">import</span> <span class="n">default_timer</span>
 
 
-<div class="viewcode-block" id="Timer"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer">[docs]</a><span class="k">class</span> <span class="nc">Timer</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="Timer">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer">[docs]</a>
+<span class="k">class</span> <span class="nc">Timer</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;Timer class.</span>
 
 <span class="sd">    `Original code &lt;https://github.com/miguelgfierro/pybase/blob/2298172a13fb4a243754acbc6029a4a2dcf72c20/log_base/timer.py&gt;`_.</span>
@@ -353,11 +365,14 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
 <span class="sd">        &#39;Time elapsed 1...&#39;</span>
 <span class="sd">    &quot;&quot;&quot;</span>
 
-<div class="viewcode-block" id="Timer.__init__"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.__init__">[docs]</a>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Timer.__init__">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.__init__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_timer</span> <span class="o">=</span> <span class="n">default_timer</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_interval</span> <span class="o">=</span> <span class="mi">0</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">running</span> <span class="o">=</span> <span class="kc">False</span></div>
 
+
     <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
         <span class="k">return</span> <span class="bp">self</span>
@@ -368,12 +383,17 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
     <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="s2">&quot;</span><span class="si">{:0.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">interval</span><span class="p">)</span>
 
-<div class="viewcode-block" id="Timer.start"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.start">[docs]</a>    <span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Timer.start">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.start">[docs]</a>
+    <span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Start the timer.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">init</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_timer</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">running</span> <span class="o">=</span> <span class="kc">True</span></div>
 
-<div class="viewcode-block" id="Timer.stop"><a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.stop">[docs]</a>    <span class="k">def</span> <span class="nf">stop</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+
+<div class="viewcode-block" id="Timer.stop">
+<a class="viewcode-back" href="../../../utils.html#recommenders.utils.timer.Timer.stop">[docs]</a>
+    <span class="k">def</span> <span class="nf">stop</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Stop the timer. Calculate the interval in seconds.&quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">end</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_timer</span><span class="p">()</span>
         <span class="k">try</span><span class="p">:</span>
@@ -384,6 +404,7 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
                 <span class="s2">&quot;Timer has not been initialized: use start() or the contextual form with Timer() as t:&quot;</span>
             <span class="p">)</span></div>
 
+
     <span class="nd">@property</span>
     <span class="k">def</span> <span class="nf">interval</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Get time interval in seconds.</span>
@@ -395,6 +416,7 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
             <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Timer has not been stopped, please use stop().&quot;</span><span class="p">)</span>
         <span class="k">else</span><span class="p">:</span>
             <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_interval</span></div>
+
 </pre></div>
 
                 </article>
@@ -435,7 +457,7 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -459,8 +481,8 @@ <h1>Source code for recommenders.utils.timer</h1><div class="highlight"><pre>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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1rem}.sd-g-sm-4,.sd-gy-sm-4{--sd-gutter-y: 1.5rem}.sd-g-sm-4,.sd-gx-sm-4{--sd-gutter-x: 1.5rem}.sd-g-sm-5,.sd-gy-sm-5{--sd-gutter-y: 3rem}.sd-g-sm-5,.sd-gx-sm-5{--sd-gutter-x: 3rem}}@media(min-width: 768px){.sd-col-md-auto{-ms-flex:0 0 auto;flex:0 0 auto;width:auto}.sd-col-md-1{-ms-flex:0 0 auto;flex:0 0 auto;width:8.3333333333%}.sd-col-md-2{-ms-flex:0 0 auto;flex:0 0 auto;width:16.6666666667%}.sd-col-md-3{-ms-flex:0 0 auto;flex:0 0 auto;width:25%}.sd-col-md-4{-ms-flex:0 0 auto;flex:0 0 auto;width:33.3333333333%}.sd-col-md-5{-ms-flex:0 0 auto;flex:0 0 auto;width:41.6666666667%}.sd-col-md-6{-ms-flex:0 0 auto;flex:0 0 auto;width:50%}.sd-col-md-7{-ms-flex:0 0 auto;flex:0 0 auto;width:58.3333333333%}.sd-col-md-8{-ms-flex:0 0 auto;flex:0 0 auto;width:66.6666666667%}.sd-col-md-9{-ms-flex:0 0 auto;flex:0 0 auto;width:75%}.sd-col-md-10{-ms-flex:0 0 auto;flex:0 0 auto;width:83.3333333333%}.sd-col-md-11{-ms-flex:0 0 auto;flex:0 0 auto;width:91.6666666667%}.sd-col-md-12{-ms-flex:0 0 auto;flex:0 0 auto;width:100%}.sd-g-md-0,.sd-gy-md-0{--sd-gutter-y: 0}.sd-g-md-0,.sd-gx-md-0{--sd-gutter-x: 0}.sd-g-md-1,.sd-gy-md-1{--sd-gutter-y: 0.25rem}.sd-g-md-1,.sd-gx-md-1{--sd-gutter-x: 0.25rem}.sd-g-md-2,.sd-gy-md-2{--sd-gutter-y: 0.5rem}.sd-g-md-2,.sd-gx-md-2{--sd-gutter-x: 0.5rem}.sd-g-md-3,.sd-gy-md-3{--sd-gutter-y: 1rem}.sd-g-md-3,.sd-gx-md-3{--sd-gutter-x: 1rem}.sd-g-md-4,.sd-gy-md-4{--sd-gutter-y: 1.5rem}.sd-g-md-4,.sd-gx-md-4{--sd-gutter-x: 1.5rem}.sd-g-md-5,.sd-gy-md-5{--sd-gutter-y: 3rem}.sd-g-md-5,.sd-gx-md-5{--sd-gutter-x: 3rem}}@media(min-width: 992px){.sd-col-lg-auto{-ms-flex:0 0 auto;flex:0 0 auto;width:auto}.sd-col-lg-1{-ms-flex:0 0 auto;flex:0 0 auto;width:8.3333333333%}.sd-col-lg-2{-ms-flex:0 0 auto;flex:0 0 auto;width:16.6666666667%}.sd-col-lg-3{-ms-flex:0 0 auto;flex:0 0 auto;width:25%}.sd-col-lg-4{-ms-flex:0 0 auto;flex:0 0 auto;width:33.3333333333%}.sd-col-lg-5{-ms-flex:0 0 auto;flex:0 0 auto;width:41.6666666667%}.sd-col-lg-6{-ms-flex:0 0 auto;flex:0 0 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0.5rem}.sd-g-xl-2,.sd-gx-xl-2{--sd-gutter-x: 0.5rem}.sd-g-xl-3,.sd-gy-xl-3{--sd-gutter-y: 1rem}.sd-g-xl-3,.sd-gx-xl-3{--sd-gutter-x: 1rem}.sd-g-xl-4,.sd-gy-xl-4{--sd-gutter-y: 1.5rem}.sd-g-xl-4,.sd-gx-xl-4{--sd-gutter-x: 1.5rem}.sd-g-xl-5,.sd-gy-xl-5{--sd-gutter-y: 3rem}.sd-g-xl-5,.sd-gx-xl-5{--sd-gutter-x: 3rem}}.sd-flex-row-reverse{flex-direction:row-reverse !important}details.sd-dropdown{position:relative}details.sd-dropdown .sd-summary-title{font-weight:700;padding-right:3em !important;-moz-user-select:none;-ms-user-select:none;-webkit-user-select:none;user-select:none}details.sd-dropdown:hover{cursor:pointer}details.sd-dropdown .sd-summary-content{cursor:default}details.sd-dropdown summary{list-style:none;padding:1em}details.sd-dropdown summary .sd-octicon.no-title{vertical-align:middle}details.sd-dropdown[open] summary .sd-octicon.no-title{visibility:hidden}details.sd-dropdown summary::-webkit-details-marker{display:none}details.sd-dropdown summary:focus{outline:none}details.sd-dropdown .sd-summary-icon{margin-right:.5em}details.sd-dropdown .sd-summary-icon svg{opacity:.8}details.sd-dropdown summary:hover .sd-summary-up svg,details.sd-dropdown summary:hover .sd-summary-down svg{opacity:1;transform:scale(1.1)}details.sd-dropdown .sd-summary-up svg,details.sd-dropdown .sd-summary-down svg{display:block;opacity:.6}details.sd-dropdown .sd-summary-up,details.sd-dropdown .sd-summary-down{pointer-events:none;position:absolute;right:1em;top:1em}details.sd-dropdown[open]>.sd-summary-title .sd-summary-down{visibility:hidden}details.sd-dropdown:not([open])>.sd-summary-title .sd-summary-up{visibility:hidden}details.sd-dropdown:not([open]).sd-card{border:none}details.sd-dropdown:not([open])>.sd-card-header{border:1px solid var(--sd-color-card-border);border-radius:.25rem}details.sd-dropdown.sd-fade-in[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out;animation:sd-fade-in .5s ease-in-out}details.sd-dropdown.sd-fade-in-slide-down[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out;animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out}.sd-col>.sd-dropdown{width:100%}.sd-summary-content>.sd-tab-set:first-child{margin-top:0}@keyframes sd-fade-in{0%{opacity:0}100%{opacity:1}}@keyframes sd-slide-down{0%{transform:translate(0, -10px)}100%{transform:translate(0, 0)}}.sd-tab-set{border-radius:.125rem;display:flex;flex-wrap:wrap;margin:1em 0;position:relative}.sd-tab-set>input{opacity:0;position:absolute}.sd-tab-set>input:checked+label{border-color:var(--sd-color-tabs-underline-active);color:var(--sd-color-tabs-label-active)}.sd-tab-set>input:checked+label+.sd-tab-content{display:block}.sd-tab-set>input:not(:checked)+label:hover{color:var(--sd-color-tabs-label-hover);border-color:var(--sd-color-tabs-underline-hover)}.sd-tab-set>input:focus+label{outline-style:auto}.sd-tab-set>input:not(.focus-visible)+label{outline:none;-webkit-tap-highlight-color:transparent}.sd-tab-set>label{border-bottom:.125rem solid transparent;margin-bottom:0;color:var(--sd-color-tabs-label-inactive);border-color:var(--sd-color-tabs-underline-inactive);cursor:pointer;font-size:var(--sd-fontsize-tabs-label);font-weight:700;padding:1em 1.25em .5em;transition:color 250ms;width:auto;z-index:1}html .sd-tab-set>label:hover{color:var(--sd-color-tabs-label-active)}.sd-col>.sd-tab-set{width:100%}.sd-tab-content{box-shadow:0 -0.0625rem var(--sd-color-tabs-overline),0 .0625rem var(--sd-color-tabs-underline);display:none;order:99;padding-bottom:.75rem;padding-top:.75rem;width:100%}.sd-tab-content>:first-child{margin-top:0 !important}.sd-tab-content>:last-child{margin-bottom:0 !important}.sd-tab-content>.sd-tab-set{margin:0}.sd-sphinx-override,.sd-sphinx-override *{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.sd-sphinx-override p{margin-top:0}:root{--sd-color-primary: #0071bc;--sd-color-secondary: #6c757d;--sd-color-success: #28a745;--sd-color-info: #17a2b8;--sd-color-warning: #f0b37e;--sd-color-danger: #dc3545;--sd-color-light: #f8f9fa;--sd-color-muted: #6c757d;--sd-color-dark: #212529;--sd-color-black: black;--sd-color-white: white;--sd-color-primary-highlight: #0060a0;--sd-color-secondary-highlight: #5c636a;--sd-color-success-highlight: #228e3b;--sd-color-info-highlight: #148a9c;--sd-color-warning-highlight: #cc986b;--sd-color-danger-highlight: #bb2d3b;--sd-color-light-highlight: #d3d4d5;--sd-color-muted-highlight: #5c636a;--sd-color-dark-highlight: #1c1f23;--sd-color-black-highlight: black;--sd-color-white-highlight: #d9d9d9;--sd-color-primary-text: #fff;--sd-color-secondary-text: #fff;--sd-color-success-text: #fff;--sd-color-info-text: #fff;--sd-color-warning-text: #212529;--sd-color-danger-text: #fff;--sd-color-light-text: #212529;--sd-color-muted-text: #fff;--sd-color-dark-text: #fff;--sd-color-black-text: #fff;--sd-color-white-text: #212529;--sd-color-shadow: rgba(0, 0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem}
diff --git a/docs/_build/html/_static/basic.css b/docs/_build/html/_static/basic.css
index 9e364ed34..e760386bd 100644
--- a/docs/_build/html/_static/basic.css
+++ b/docs/_build/html/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -237,6 +237,10 @@ a.headerlink {
     visibility: hidden;
 }
 
+a:visited {
+    color: #551A8B;
+}
+
 h1:hover > a.headerlink,
 h2:hover > a.headerlink,
 h3:hover > a.headerlink,
@@ -324,17 +328,17 @@ aside.sidebar {
 p.sidebar-title {
     font-weight: bold;
 }
+
 nav.contents,
 aside.topic,
-
 div.admonition, div.topic, blockquote {
     clear: left;
 }
 
 /* -- topics ---------------------------------------------------------------- */
+
 nav.contents,
 aside.topic,
-
 div.topic {
     border: 1px solid #ccc;
     padding: 7px;
@@ -375,7 +379,6 @@ div.sidebar > :last-child,
 aside.sidebar > :last-child,
 nav.contents > :last-child,
 aside.topic > :last-child,
-
 div.topic > :last-child,
 div.admonition > :last-child {
     margin-bottom: 0;
@@ -385,7 +388,6 @@ div.sidebar::after,
 aside.sidebar::after,
 nav.contents::after,
 aside.topic::after,
-
 div.topic::after,
 div.admonition::after,
 blockquote::after {
@@ -611,25 +613,6 @@ ul.simple p {
     margin-bottom: 0;
 }
 
-/* Docutils 0.17 and older (footnotes & citations) */
-dl.footnote > dt,
-dl.citation > dt {
-    float: left;
-    margin-right: 0.5em;
-}
-
-dl.footnote > dd,
-dl.citation > dd {
-    margin-bottom: 0em;
-}
-
-dl.footnote > dd:after,
-dl.citation > dd:after {
-    content: "";
-    clear: both;
-}
-
-/* Docutils 0.18+ (footnotes & citations) */
 aside.footnote > span,
 div.citation > span {
     float: left;
@@ -654,8 +637,6 @@ div.citation > p:last-of-type:after {
     clear: both;
 }
 
-/* Footnotes & citations ends */
-
 dl.field-list {
     display: grid;
     grid-template-columns: fit-content(30%) auto;
@@ -668,10 +649,6 @@ dl.field-list > dt {
     padding-right: 5px;
 }
 
-dl.field-list > dt:after {
-    content: ":";
-}
-
 dl.field-list > dd {
     padding-left: 0.5em;
     margin-top: 0em;
@@ -697,6 +674,16 @@ dd {
     margin-left: 30px;
 }
 
+.sig dd {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+.sig dl {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
 dl > dd:last-child,
 dl > dd:last-child > :last-child {
     margin-bottom: 0;
@@ -765,6 +752,14 @@ abbr, acronym {
     cursor: help;
 }
 
+.translated {
+    background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+    background-color: rgba(255, 207, 207, 0.2)
+}
+
 /* -- code displays --------------------------------------------------------- */
 
 pre {
diff --git a/docs/_build/html/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css b/docs/_build/html/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
new file mode 100644
index 000000000..eb19f698a
--- /dev/null
+++ b/docs/_build/html/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
@@ -0,0 +1 @@
+.sd-bg-primary{background-color:var(--sd-color-primary) !important}.sd-bg-text-primary{color:var(--sd-color-primary-text) !important}button.sd-bg-primary:focus,button.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}a.sd-bg-primary:focus,a.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}.sd-bg-secondary{background-color:var(--sd-color-secondary) !important}.sd-bg-text-secondary{color:var(--sd-color-secondary-text) !important}button.sd-bg-secondary:focus,button.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}a.sd-bg-secondary:focus,a.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}.sd-bg-success{background-color:var(--sd-color-success) !important}.sd-bg-text-success{color:var(--sd-color-success-text) !important}button.sd-bg-success:focus,button.sd-bg-success:hover{background-color:var(--sd-color-success-highlight) !important}a.sd-bg-success:focus,a.sd-bg-success:hover{background-color:var(--sd-color-success-highlight) !important}.sd-bg-info{background-color:var(--sd-color-info) !important}.sd-bg-text-info{color:var(--sd-color-info-text) !important}button.sd-bg-info:focus,button.sd-bg-info:hover{background-color:var(--sd-color-info-highlight) !important}a.sd-bg-info:focus,a.sd-bg-info:hover{background-color:var(--sd-color-info-highlight) !important}.sd-bg-warning{background-color:var(--sd-color-warning) !important}.sd-bg-text-warning{color:var(--sd-color-warning-text) !important}button.sd-bg-warning:focus,button.sd-bg-warning:hover{background-color:var(--sd-color-warning-highlight) !important}a.sd-bg-warning:focus,a.sd-bg-warning:hover{background-color:var(--sd-color-warning-highlight) !important}.sd-bg-danger{background-color:var(--sd-color-danger) !important}.sd-bg-text-danger{color:var(--sd-color-danger-text) 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auto;width:50%}.sd-col-lg-7{-ms-flex:0 0 auto;flex:0 0 auto;width:58.3333333333%}.sd-col-lg-8{-ms-flex:0 0 auto;flex:0 0 auto;width:66.6666666667%}.sd-col-lg-9{-ms-flex:0 0 auto;flex:0 0 auto;width:75%}.sd-col-lg-10{-ms-flex:0 0 auto;flex:0 0 auto;width:83.3333333333%}.sd-col-lg-11{-ms-flex:0 0 auto;flex:0 0 auto;width:91.6666666667%}.sd-col-lg-12{-ms-flex:0 0 auto;flex:0 0 auto;width:100%}.sd-g-lg-0,.sd-gy-lg-0{--sd-gutter-y: 0}.sd-g-lg-0,.sd-gx-lg-0{--sd-gutter-x: 0}.sd-g-lg-1,.sd-gy-lg-1{--sd-gutter-y: 0.25rem}.sd-g-lg-1,.sd-gx-lg-1{--sd-gutter-x: 0.25rem}.sd-g-lg-2,.sd-gy-lg-2{--sd-gutter-y: 0.5rem}.sd-g-lg-2,.sd-gx-lg-2{--sd-gutter-x: 0.5rem}.sd-g-lg-3,.sd-gy-lg-3{--sd-gutter-y: 1rem}.sd-g-lg-3,.sd-gx-lg-3{--sd-gutter-x: 1rem}.sd-g-lg-4,.sd-gy-lg-4{--sd-gutter-y: 1.5rem}.sd-g-lg-4,.sd-gx-lg-4{--sd-gutter-x: 1.5rem}.sd-g-lg-5,.sd-gy-lg-5{--sd-gutter-y: 3rem}.sd-g-lg-5,.sd-gx-lg-5{--sd-gutter-x: 3rem}}@media(min-width: 1200px){.sd-col-xl-auto{-ms-flex:0 0 auto;flex:0 0 auto;width:auto}.sd-col-xl-1{-ms-flex:0 0 auto;flex:0 0 auto;width:8.3333333333%}.sd-col-xl-2{-ms-flex:0 0 auto;flex:0 0 auto;width:16.6666666667%}.sd-col-xl-3{-ms-flex:0 0 auto;flex:0 0 auto;width:25%}.sd-col-xl-4{-ms-flex:0 0 auto;flex:0 0 auto;width:33.3333333333%}.sd-col-xl-5{-ms-flex:0 0 auto;flex:0 0 auto;width:41.6666666667%}.sd-col-xl-6{-ms-flex:0 0 auto;flex:0 0 auto;width:50%}.sd-col-xl-7{-ms-flex:0 0 auto;flex:0 0 auto;width:58.3333333333%}.sd-col-xl-8{-ms-flex:0 0 auto;flex:0 0 auto;width:66.6666666667%}.sd-col-xl-9{-ms-flex:0 0 auto;flex:0 0 auto;width:75%}.sd-col-xl-10{-ms-flex:0 0 auto;flex:0 0 auto;width:83.3333333333%}.sd-col-xl-11{-ms-flex:0 0 auto;flex:0 0 auto;width:91.6666666667%}.sd-col-xl-12{-ms-flex:0 0 auto;flex:0 0 auto;width:100%}.sd-g-xl-0,.sd-gy-xl-0{--sd-gutter-y: 0}.sd-g-xl-0,.sd-gx-xl-0{--sd-gutter-x: 0}.sd-g-xl-1,.sd-gy-xl-1{--sd-gutter-y: 0.25rem}.sd-g-xl-1,.sd-gx-xl-1{--sd-gutter-x: 0.25rem}.sd-g-xl-2,.sd-gy-xl-2{--sd-gutter-y: 0.5rem}.sd-g-xl-2,.sd-gx-xl-2{--sd-gutter-x: 0.5rem}.sd-g-xl-3,.sd-gy-xl-3{--sd-gutter-y: 1rem}.sd-g-xl-3,.sd-gx-xl-3{--sd-gutter-x: 1rem}.sd-g-xl-4,.sd-gy-xl-4{--sd-gutter-y: 1.5rem}.sd-g-xl-4,.sd-gx-xl-4{--sd-gutter-x: 1.5rem}.sd-g-xl-5,.sd-gy-xl-5{--sd-gutter-y: 3rem}.sd-g-xl-5,.sd-gx-xl-5{--sd-gutter-x: 3rem}}.sd-flex-row-reverse{flex-direction:row-reverse !important}details.sd-dropdown{position:relative}details.sd-dropdown .sd-summary-title{font-weight:700;padding-right:3em !important;-moz-user-select:none;-ms-user-select:none;-webkit-user-select:none;user-select:none}details.sd-dropdown:hover{cursor:pointer}details.sd-dropdown .sd-summary-content{cursor:default}details.sd-dropdown summary{list-style:none;padding:1em}details.sd-dropdown summary .sd-octicon.no-title{vertical-align:middle}details.sd-dropdown[open] summary .sd-octicon.no-title{visibility:hidden}details.sd-dropdown summary::-webkit-details-marker{display:none}details.sd-dropdown summary:focus{outline:none}details.sd-dropdown .sd-summary-icon{margin-right:.5em}details.sd-dropdown .sd-summary-icon svg{opacity:.8}details.sd-dropdown summary:hover .sd-summary-up svg,details.sd-dropdown summary:hover .sd-summary-down svg{opacity:1;transform:scale(1.1)}details.sd-dropdown .sd-summary-up svg,details.sd-dropdown .sd-summary-down svg{display:block;opacity:.6}details.sd-dropdown .sd-summary-up,details.sd-dropdown .sd-summary-down{pointer-events:none;position:absolute;right:1em;top:1em}details.sd-dropdown[open]>.sd-summary-title .sd-summary-down{visibility:hidden}details.sd-dropdown:not([open])>.sd-summary-title .sd-summary-up{visibility:hidden}details.sd-dropdown:not([open]).sd-card{border:none}details.sd-dropdown:not([open])>.sd-card-header{border:1px solid var(--sd-color-card-border);border-radius:.25rem}details.sd-dropdown.sd-fade-in[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out;animation:sd-fade-in .5s ease-in-out}details.sd-dropdown.sd-fade-in-slide-down[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out;animation:sd-fade-in .5s ease-in-out,sd-slide-down .5s ease-in-out}.sd-col>.sd-dropdown{width:100%}.sd-summary-content>.sd-tab-set:first-child{margin-top:0}@keyframes sd-fade-in{0%{opacity:0}100%{opacity:1}}@keyframes sd-slide-down{0%{transform:translate(0, -10px)}100%{transform:translate(0, 0)}}.sd-tab-set{border-radius:.125rem;display:flex;flex-wrap:wrap;margin:1em 0;position:relative}.sd-tab-set>input{opacity:0;position:absolute}.sd-tab-set>input:checked+label{border-color:var(--sd-color-tabs-underline-active);color:var(--sd-color-tabs-label-active)}.sd-tab-set>input:checked+label+.sd-tab-content{display:block}.sd-tab-set>input:not(:checked)+label:hover{color:var(--sd-color-tabs-label-hover);border-color:var(--sd-color-tabs-underline-hover)}.sd-tab-set>input:focus+label{outline-style:auto}.sd-tab-set>input:not(.focus-visible)+label{outline:none;-webkit-tap-highlight-color:transparent}.sd-tab-set>label{border-bottom:.125rem solid transparent;margin-bottom:0;color:var(--sd-color-tabs-label-inactive);border-color:var(--sd-color-tabs-underline-inactive);cursor:pointer;font-size:var(--sd-fontsize-tabs-label);font-weight:700;padding:1em 1.25em .5em;transition:color 250ms;width:auto;z-index:1}html .sd-tab-set>label:hover{color:var(--sd-color-tabs-label-active)}.sd-col>.sd-tab-set{width:100%}.sd-tab-content{box-shadow:0 -0.0625rem var(--sd-color-tabs-overline),0 .0625rem var(--sd-color-tabs-underline);display:none;order:99;padding-bottom:.75rem;padding-top:.75rem;width:100%}.sd-tab-content>:first-child{margin-top:0 !important}.sd-tab-content>:last-child{margin-bottom:0 !important}.sd-tab-content>.sd-tab-set{margin:0}.sd-sphinx-override,.sd-sphinx-override *{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.sd-sphinx-override p{margin-top:0}:root{--sd-color-primary: #0071bc;--sd-color-secondary: #6c757d;--sd-color-success: #28a745;--sd-color-info: #17a2b8;--sd-color-warning: #f0b37e;--sd-color-danger: #dc3545;--sd-color-light: #f8f9fa;--sd-color-muted: #6c757d;--sd-color-dark: #212529;--sd-color-black: black;--sd-color-white: white;--sd-color-primary-highlight: #0060a0;--sd-color-secondary-highlight: #5c636a;--sd-color-success-highlight: #228e3b;--sd-color-info-highlight: #148a9c;--sd-color-warning-highlight: #cc986b;--sd-color-danger-highlight: #bb2d3b;--sd-color-light-highlight: #d3d4d5;--sd-color-muted-highlight: #5c636a;--sd-color-dark-highlight: #1c1f23;--sd-color-black-highlight: black;--sd-color-white-highlight: #d9d9d9;--sd-color-primary-text: #fff;--sd-color-secondary-text: #fff;--sd-color-success-text: #fff;--sd-color-info-text: #fff;--sd-color-warning-text: #212529;--sd-color-danger-text: #fff;--sd-color-light-text: #212529;--sd-color-muted-text: #fff;--sd-color-dark-text: #fff;--sd-color-black-text: #fff;--sd-color-white-text: #212529;--sd-color-shadow: rgba(0, 0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem}
diff --git a/docs/_build/html/_static/doctools.js b/docs/_build/html/_static/doctools.js
index c3db08d1c..d06a71d75 100644
--- a/docs/_build/html/_static/doctools.js
+++ b/docs/_build/html/_static/doctools.js
@@ -4,12 +4,19 @@
  *
  * Base JavaScript utilities for all Sphinx HTML documentation.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
 "use strict";
 
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+  "TEXTAREA",
+  "INPUT",
+  "SELECT",
+  "BUTTON",
+]);
+
 const _ready = (callback) => {
   if (document.readyState !== "loading") {
     callback();
@@ -18,73 +25,11 @@ const _ready = (callback) => {
   }
 };
 
-/**
- * highlight a given string on a node by wrapping it in
- * span elements with the given class name.
- */
-const _highlight = (node, addItems, text, className) => {
-  if (node.nodeType === Node.TEXT_NODE) {
-    const val = node.nodeValue;
-    const parent = node.parentNode;
-    const pos = val.toLowerCase().indexOf(text);
-    if (
-      pos >= 0 &&
-      !parent.classList.contains(className) &&
-      !parent.classList.contains("nohighlight")
-    ) {
-      let span;
-
-      const closestNode = parent.closest("body, svg, foreignObject");
-      const isInSVG = closestNode && closestNode.matches("svg");
-      if (isInSVG) {
-        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
-      } else {
-        span = document.createElement("span");
-        span.classList.add(className);
-      }
-
-      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
-      parent.insertBefore(
-        span,
-        parent.insertBefore(
-          document.createTextNode(val.substr(pos + text.length)),
-          node.nextSibling
-        )
-      );
-      node.nodeValue = val.substr(0, pos);
-
-      if (isInSVG) {
-        const rect = document.createElementNS(
-          "http://www.w3.org/2000/svg",
-          "rect"
-        );
-        const bbox = parent.getBBox();
-        rect.x.baseVal.value = bbox.x;
-        rect.y.baseVal.value = bbox.y;
-        rect.width.baseVal.value = bbox.width;
-        rect.height.baseVal.value = bbox.height;
-        rect.setAttribute("class", className);
-        addItems.push({ parent: parent, target: rect });
-      }
-    }
-  } else if (node.matches && !node.matches("button, select, textarea")) {
-    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
-  }
-};
-const _highlightText = (thisNode, text, className) => {
-  let addItems = [];
-  _highlight(thisNode, addItems, text, className);
-  addItems.forEach((obj) =>
-    obj.parent.insertAdjacentElement("beforebegin", obj.target)
-  );
-};
-
 /**
  * Small JavaScript module for the documentation.
  */
 const Documentation = {
   init: () => {
-    Documentation.highlightSearchWords();
     Documentation.initDomainIndexTable();
     Documentation.initOnKeyListeners();
   },
@@ -126,51 +71,6 @@ const Documentation = {
     Documentation.LOCALE = catalog.locale;
   },
 
-  /**
-   * highlight the search words provided in the url in the text
-   */
-  highlightSearchWords: () => {
-    const highlight =
-      new URLSearchParams(window.location.search).get("highlight") || "";
-    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
-    if (terms.length === 0) return; // nothing to do
-
-    // There should never be more than one element matching "div.body"
-    const divBody = document.querySelectorAll("div.body");
-    const body = divBody.length ? divBody[0] : document.querySelector("body");
-    window.setTimeout(() => {
-      terms.forEach((term) => _highlightText(body, term, "highlighted"));
-    }, 10);
-
-    const searchBox = document.getElementById("searchbox");
-    if (searchBox === null) return;
-    searchBox.appendChild(
-      document
-        .createRange()
-        .createContextualFragment(
-          '<p class="highlight-link">' +
-            '<a href="javascript:Documentation.hideSearchWords()">' +
-            Documentation.gettext("Hide Search Matches") +
-            "</a></p>"
-        )
-    );
-  },
-
-  /**
-   * helper function to hide the search marks again
-   */
-  hideSearchWords: () => {
-    document
-      .querySelectorAll("#searchbox .highlight-link")
-      .forEach((el) => el.remove());
-    document
-      .querySelectorAll("span.highlighted")
-      .forEach((el) => el.classList.remove("highlighted"));
-    const url = new URL(window.location);
-    url.searchParams.delete("highlight");
-    window.history.replaceState({}, "", url);
-  },
-
   /**
    * helper function to focus on search bar
    */
@@ -210,15 +110,11 @@ const Documentation = {
     )
       return;
 
-    const blacklistedElements = new Set([
-      "TEXTAREA",
-      "INPUT",
-      "SELECT",
-      "BUTTON",
-    ]);
     document.addEventListener("keydown", (event) => {
-      if (blacklistedElements.has(document.activeElement.tagName)) return; // bail for input elements
-      if (event.altKey || event.ctrlKey || event.metaKey) return; // bail with special keys
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.altKey || event.ctrlKey || event.metaKey) return;
 
       if (!event.shiftKey) {
         switch (event.key) {
@@ -240,10 +136,6 @@ const Documentation = {
               event.preventDefault();
             }
             break;
-          case "Escape":
-            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
-            Documentation.hideSearchWords();
-            event.preventDefault();
         }
       }
 
diff --git a/docs/_build/html/_static/documentation_options.js b/docs/_build/html/_static/documentation_options.js
index 162a6ba8d..dab586c0d 100644
--- a/docs/_build/html/_static/documentation_options.js
+++ b/docs/_build/html/_static/documentation_options.js
@@ -1,5 +1,4 @@
-var DOCUMENTATION_OPTIONS = {
-    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+const DOCUMENTATION_OPTIONS = {
     VERSION: '',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
@@ -10,5 +9,5 @@ var DOCUMENTATION_OPTIONS = {
     SOURCELINK_SUFFIX: '',
     NAVIGATION_WITH_KEYS: false,
     SHOW_SEARCH_SUMMARY: true,
-    ENABLE_SEARCH_SHORTCUTS: false,
+    ENABLE_SEARCH_SHORTCUTS: true,
 };
\ No newline at end of file
diff --git a/docs/_build/html/_static/language_data.js b/docs/_build/html/_static/language_data.js
index 2e22b06ab..250f5665f 100644
--- a/docs/_build/html/_static/language_data.js
+++ b/docs/_build/html/_static/language_data.js
@@ -5,7 +5,7 @@
  * This script contains the language-specific data used by searchtools.js,
  * namely the list of stopwords, stemmer, scorer and splitter.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
diff --git a/docs/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po
index 2e8d68202..1237f3432 100644
--- a/docs/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ar\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "تنزيل ملف المصدر"
+
 msgid "suggest edit"
 msgstr "أقترح تحرير"
 
-msgid "Last updated on"
-msgstr "آخر تحديث في"
-
-msgid "Edit this page"
-msgstr "قم بتحرير هذه الصفحة"
-
-msgid "Launch"
-msgstr "إطلاق"
-
-msgid "Print to PDF"
-msgstr "طباعة إلى PDF"
+msgid "Toggle navigation"
+msgstr "تبديل التنقل"
 
 msgid "open issue"
 msgstr "قضية مفتوحة"
@@ -29,47 +23,53 @@ msgstr "قضية مفتوحة"
 msgid "Download notebook file"
 msgstr "تنزيل ملف دفتر الملاحظات"
 
-msgid "Toggle navigation"
-msgstr "تبديل التنقل"
+msgid "repository"
+msgstr "مخزن"
 
-msgid "Source repository"
-msgstr "مستودع المصدر"
+msgid "Theme by the"
+msgstr "موضوع بواسطة"
 
-msgid "By the"
-msgstr "بواسطة"
+msgid "Print to PDF"
+msgstr "طباعة إلى PDF"
 
-msgid "next page"
-msgstr "الصفحة التالية"
+msgid "Download this page"
+msgstr "قم بتنزيل هذه الصفحة"
 
-msgid "repository"
-msgstr "مخزن"
+msgid "Copyright"
+msgstr "حقوق النشر"
+
+msgid "Last updated on"
+msgstr "آخر تحديث في"
+
+msgid "Launch"
+msgstr "إطلاق"
+
+msgid "Open an issue"
+msgstr "افتح قضية"
+
+msgid "Fullscreen mode"
+msgstr "وضع ملء الشاشة"
 
 msgid "Sphinx Book Theme"
 msgstr "موضوع كتاب أبو الهول"
 
-msgid "Download source file"
-msgstr "تنزيل ملف المصدر"
-
 msgid "Contents"
 msgstr "محتويات"
 
-msgid "By"
-msgstr "بواسطة"
+msgid "Edit this page"
+msgstr "قم بتحرير هذه الصفحة"
 
-msgid "Copyright"
-msgstr "حقوق النشر"
+msgid "next page"
+msgstr "الصفحة التالية"
 
-msgid "Fullscreen mode"
-msgstr "وضع ملء الشاشة"
+msgid "Source repository"
+msgstr "مستودع المصدر"
 
-msgid "Open an issue"
-msgstr "افتح قضية"
+msgid "By"
+msgstr "بواسطة"
+
+msgid "By the"
+msgstr "بواسطة"
 
 msgid "previous page"
 msgstr "الصفحة السابقة"
-
-msgid "Download this page"
-msgstr "قم بتنزيل هذه الصفحة"
-
-msgid "Theme by the"
-msgstr "موضوع بواسطة"
diff --git a/docs/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.po
index 56ef0ebdf..45a6ed0a4 100644
--- a/docs/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: bg\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Изтеглете изходния файл"
+
 msgid "suggest edit"
 msgstr "предложи редактиране"
 
-msgid "Last updated on"
-msgstr "Последна актуализация на"
-
-msgid "Edit this page"
-msgstr "Редактирайте тази страница"
-
-msgid "Launch"
-msgstr "Стартиране"
-
-msgid "Print to PDF"
-msgstr "Печат в PDF"
+msgid "Toggle navigation"
+msgstr "Превключване на навигацията"
 
 msgid "open issue"
 msgstr "отворен брой"
@@ -29,47 +23,53 @@ msgstr "отворен брой"
 msgid "Download notebook file"
 msgstr "Изтеглете файла на бележника"
 
-msgid "Toggle navigation"
-msgstr "Превключване на навигацията"
+msgid "repository"
+msgstr "хранилище"
 
-msgid "Source repository"
-msgstr "Хранилище на източника"
+msgid "Theme by the"
+msgstr "Тема от"
 
-msgid "By the"
-msgstr "По"
+msgid "Print to PDF"
+msgstr "Печат в PDF"
 
-msgid "next page"
-msgstr "Следваща страница"
+msgid "Download this page"
+msgstr "Изтеглете тази страница"
 
-msgid "repository"
-msgstr "хранилище"
+msgid "Copyright"
+msgstr "Авторско право"
+
+msgid "Last updated on"
+msgstr "Последна актуализация на"
+
+msgid "Launch"
+msgstr "Стартиране"
+
+msgid "Open an issue"
+msgstr "Отворете проблем"
+
+msgid "Fullscreen mode"
+msgstr "Режим на цял екран"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема на книгата Sphinx"
 
-msgid "Download source file"
-msgstr "Изтеглете изходния файл"
-
 msgid "Contents"
 msgstr "Съдържание"
 
-msgid "By"
-msgstr "От"
+msgid "Edit this page"
+msgstr "Редактирайте тази страница"
 
-msgid "Copyright"
-msgstr "Авторско право"
+msgid "next page"
+msgstr "Следваща страница"
 
-msgid "Fullscreen mode"
-msgstr "Режим на цял екран"
+msgid "Source repository"
+msgstr "Хранилище на източника"
 
-msgid "Open an issue"
-msgstr "Отворете проблем"
+msgid "By"
+msgstr "От"
+
+msgid "By the"
+msgstr "По"
 
 msgid "previous page"
 msgstr "предишна страница"
-
-msgid "Download this page"
-msgstr "Изтеглете тази страница"
-
-msgid "Theme by the"
-msgstr "Тема от"
diff --git a/docs/_build/html/_static/locales/bn/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/bn/LC_MESSAGES/booktheme.po
index 243ca31f7..122a369e5 100644
--- a/docs/_build/html/_static/locales/bn/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/bn/LC_MESSAGES/booktheme.po
@@ -8,17 +8,11 @@ msgstr ""
 "Language: bn\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "Last updated on"
-msgstr "সর্বশেষ আপডেট"
-
-msgid "Edit this page"
-msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
-
-msgid "Launch"
-msgstr "শুরু করা"
+msgid "Download source file"
+msgstr "উত্স ফাইল ডাউনলোড করুন"
 
-msgid "Print to PDF"
-msgstr "পিডিএফ প্রিন্ট করুন"
+msgid "Toggle navigation"
+msgstr "নেভিগেশন টগল করুন"
 
 msgid "open issue"
 msgstr "খোলা সমস্যা"
@@ -26,38 +20,44 @@ msgstr "খোলা সমস্যা"
 msgid "Download notebook file"
 msgstr "নোটবুক ফাইল ডাউনলোড করুন"
 
-msgid "Toggle navigation"
-msgstr "নেভিগেশন টগল করুন"
+msgid "Theme by the"
+msgstr "থিম দ্বারা"
 
-msgid "Source repository"
-msgstr "উত্স সংগ্রহস্থল"
+msgid "Print to PDF"
+msgstr "পিডিএফ প্রিন্ট করুন"
 
-msgid "By the"
-msgstr "দ্বারা"
+msgid "Download this page"
+msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
 
-msgid "next page"
-msgstr "পরবর্তী পৃষ্ঠা"
+msgid "Copyright"
+msgstr "কপিরাইট"
+
+msgid "Last updated on"
+msgstr "সর্বশেষ আপডেট"
+
+msgid "Launch"
+msgstr "শুরু করা"
+
+msgid "Open an issue"
+msgstr "একটি সমস্যা খুলুন"
 
 msgid "Sphinx Book Theme"
 msgstr "স্পিনিক্স বুক থিম"
 
-msgid "Download source file"
-msgstr "উত্স ফাইল ডাউনলোড করুন"
+msgid "Edit this page"
+msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
+
+msgid "next page"
+msgstr "পরবর্তী পৃষ্ঠা"
+
+msgid "Source repository"
+msgstr "উত্স সংগ্রহস্থল"
 
 msgid "By"
 msgstr "দ্বারা"
 
-msgid "Copyright"
-msgstr "কপিরাইট"
-
-msgid "Open an issue"
-msgstr "একটি সমস্যা খুলুন"
+msgid "By the"
+msgstr "দ্বারা"
 
 msgid "previous page"
 msgstr "আগের পৃষ্ঠা"
-
-msgid "Download this page"
-msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
-
-msgid "Theme by the"
-msgstr "থিম দ্বারা"
diff --git a/docs/_build/html/_static/locales/ca/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ca/LC_MESSAGES/booktheme.po
index b27a13db9..c757deb8e 100644
--- a/docs/_build/html/_static/locales/ca/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ca/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ca\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Baixeu el fitxer font"
+
 msgid "suggest edit"
 msgstr "suggerir edició"
 
-msgid "Last updated on"
-msgstr "Darrera actualització el"
-
-msgid "Edit this page"
-msgstr "Editeu aquesta pàgina"
-
-msgid "Launch"
-msgstr "Llançament"
-
-msgid "Print to PDF"
-msgstr "Imprimeix a PDF"
+msgid "Toggle navigation"
+msgstr "Commuta la navegació"
 
 msgid "open issue"
 msgstr "número obert"
@@ -29,38 +23,44 @@ msgstr "número obert"
 msgid "Download notebook file"
 msgstr "Descarregar fitxer de quadern"
 
-msgid "Toggle navigation"
-msgstr "Commuta la navegació"
+msgid "Theme by the"
+msgstr "Tema del"
 
-msgid "Source repository"
-msgstr "Dipòsit de fonts"
+msgid "Print to PDF"
+msgstr "Imprimeix a PDF"
 
-msgid "By the"
-msgstr "Per la"
+msgid "Download this page"
+msgstr "Descarregueu aquesta pàgina"
 
-msgid "next page"
-msgstr "pàgina següent"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Last updated on"
+msgstr "Darrera actualització el"
+
+msgid "Launch"
+msgstr "Llançament"
+
+msgid "Open an issue"
+msgstr "Obriu un número"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del llibre Esfinx"
 
-msgid "Download source file"
-msgstr "Baixeu el fitxer font"
+msgid "Edit this page"
+msgstr "Editeu aquesta pàgina"
+
+msgid "next page"
+msgstr "pàgina següent"
+
+msgid "Source repository"
+msgstr "Dipòsit de fonts"
 
 msgid "By"
 msgstr "Per"
 
-msgid "Copyright"
-msgstr "Copyright"
-
-msgid "Open an issue"
-msgstr "Obriu un número"
+msgid "By the"
+msgstr "Per la"
 
 msgid "previous page"
 msgstr "Pàgina anterior"
-
-msgid "Download this page"
-msgstr "Descarregueu aquesta pàgina"
-
-msgid "Theme by the"
-msgstr "Tema del"
diff --git a/docs/_build/html/_static/locales/cs/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/cs/LC_MESSAGES/booktheme.po
index 3818df976..3571c23b4 100644
--- a/docs/_build/html/_static/locales/cs/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/cs/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: cs\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Stáhněte si zdrojový soubor"
+
 msgid "suggest edit"
 msgstr "navrhnout úpravy"
 
-msgid "Last updated on"
-msgstr "Naposledy aktualizováno"
-
-msgid "Edit this page"
-msgstr "Upravit tuto stránku"
-
-msgid "Launch"
-msgstr "Zahájení"
-
-msgid "Print to PDF"
-msgstr "Tisk do PDF"
+msgid "Toggle navigation"
+msgstr "Přepnout navigaci"
 
 msgid "open issue"
 msgstr "otevřené číslo"
@@ -29,47 +23,53 @@ msgstr "otevřené číslo"
 msgid "Download notebook file"
 msgstr "Stáhnout soubor poznámkového bloku"
 
-msgid "Toggle navigation"
-msgstr "Přepnout navigaci"
+msgid "repository"
+msgstr "úložiště"
 
-msgid "Source repository"
-msgstr "Zdrojové úložiště"
+msgid "Theme by the"
+msgstr "Téma od"
 
-msgid "By the"
-msgstr "Podle"
+msgid "Print to PDF"
+msgstr "Tisk do PDF"
 
-msgid "next page"
-msgstr "další strana"
+msgid "Download this page"
+msgstr "Stáhněte si tuto stránku"
 
-msgid "repository"
-msgstr "úložiště"
+msgid "Copyright"
+msgstr "autorská práva"
+
+msgid "Last updated on"
+msgstr "Naposledy aktualizováno"
+
+msgid "Launch"
+msgstr "Zahájení"
+
+msgid "Open an issue"
+msgstr "Otevřete problém"
+
+msgid "Fullscreen mode"
+msgstr "Režim celé obrazovky"
 
 msgid "Sphinx Book Theme"
 msgstr "Téma knihy Sfinga"
 
-msgid "Download source file"
-msgstr "Stáhněte si zdrojový soubor"
-
 msgid "Contents"
 msgstr "Obsah"
 
-msgid "By"
-msgstr "Podle"
+msgid "Edit this page"
+msgstr "Upravit tuto stránku"
 
-msgid "Copyright"
-msgstr "autorská práva"
+msgid "next page"
+msgstr "další strana"
 
-msgid "Fullscreen mode"
-msgstr "Režim celé obrazovky"
+msgid "Source repository"
+msgstr "Zdrojové úložiště"
 
-msgid "Open an issue"
-msgstr "Otevřete problém"
+msgid "By"
+msgstr "Podle"
+
+msgid "By the"
+msgstr "Podle"
 
 msgid "previous page"
 msgstr "předchozí stránka"
-
-msgid "Download this page"
-msgstr "Stáhněte si tuto stránku"
-
-msgid "Theme by the"
-msgstr "Téma od"
diff --git a/docs/_build/html/_static/locales/da/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/da/LC_MESSAGES/booktheme.po
index 7f20a3bd0..c39223fde 100644
--- a/docs/_build/html/_static/locales/da/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/da/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: da\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Download kildefil"
+
 msgid "suggest edit"
 msgstr "foreslå redigering"
 
-msgid "Last updated on"
-msgstr "Sidst opdateret den"
-
-msgid "Edit this page"
-msgstr "Rediger denne side"
-
-msgid "Launch"
-msgstr "Start"
-
-msgid "Print to PDF"
-msgstr "Udskriv til PDF"
+msgid "Toggle navigation"
+msgstr "Skift navigation"
 
 msgid "open issue"
 msgstr "åbent nummer"
@@ -29,47 +23,53 @@ msgstr "åbent nummer"
 msgid "Download notebook file"
 msgstr "Download notesbog-fil"
 
-msgid "Toggle navigation"
-msgstr "Skift navigation"
+msgid "repository"
+msgstr "lager"
 
-msgid "Source repository"
-msgstr "Kildelager"
+msgid "Theme by the"
+msgstr "Tema af"
 
-msgid "By the"
-msgstr "Ved"
+msgid "Print to PDF"
+msgstr "Udskriv til PDF"
 
-msgid "next page"
-msgstr "Næste side"
+msgid "Download this page"
+msgstr "Download denne side"
 
-msgid "repository"
-msgstr "lager"
+msgid "Copyright"
+msgstr "ophavsret"
+
+msgid "Last updated on"
+msgstr "Sidst opdateret den"
+
+msgid "Launch"
+msgstr "Start"
+
+msgid "Open an issue"
+msgstr "Åbn et problem"
+
+msgid "Fullscreen mode"
+msgstr "Fuldskærmstilstand"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx bogtema"
 
-msgid "Download source file"
-msgstr "Download kildefil"
-
 msgid "Contents"
 msgstr "Indhold"
 
-msgid "By"
-msgstr "Ved"
+msgid "Edit this page"
+msgstr "Rediger denne side"
 
-msgid "Copyright"
-msgstr "ophavsret"
+msgid "next page"
+msgstr "Næste side"
 
-msgid "Fullscreen mode"
-msgstr "Fuldskærmstilstand"
+msgid "Source repository"
+msgstr "Kildelager"
 
-msgid "Open an issue"
-msgstr "Åbn et problem"
+msgid "By"
+msgstr "Ved"
+
+msgid "By the"
+msgstr "Ved"
 
 msgid "previous page"
 msgstr "forrige side"
-
-msgid "Download this page"
-msgstr "Download denne side"
-
-msgid "Theme by the"
-msgstr "Tema af"
diff --git a/docs/_build/html/_static/locales/de/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/de/LC_MESSAGES/booktheme.po
index c0027d3ab..e22b505f2 100644
--- a/docs/_build/html/_static/locales/de/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/de/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: de\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Quelldatei herunterladen"
+
 msgid "suggest edit"
 msgstr "vorschlagen zu bearbeiten"
 
-msgid "Last updated on"
-msgstr "Zuletzt aktualisiert am"
-
-msgid "Edit this page"
-msgstr "Bearbeite diese Seite"
-
-msgid "Launch"
-msgstr "Starten"
-
-msgid "Print to PDF"
-msgstr "In PDF drucken"
+msgid "Toggle navigation"
+msgstr "Navigation umschalten"
 
 msgid "open issue"
 msgstr "offenes Thema"
@@ -29,47 +23,53 @@ msgstr "offenes Thema"
 msgid "Download notebook file"
 msgstr "Notebook-Datei herunterladen"
 
-msgid "Toggle navigation"
-msgstr "Navigation umschalten"
+msgid "repository"
+msgstr "Repository"
 
-msgid "Source repository"
-msgstr "Quell-Repository"
+msgid "Theme by the"
+msgstr "Thema von der"
 
-msgid "By the"
-msgstr "Bis zum"
+msgid "Print to PDF"
+msgstr "In PDF drucken"
 
-msgid "next page"
-msgstr "Nächste Seite"
+msgid "Download this page"
+msgstr "Laden Sie diese Seite herunter"
 
-msgid "repository"
-msgstr "Repository"
+msgid "Copyright"
+msgstr "Urheberrechte ©"
+
+msgid "Last updated on"
+msgstr "Zuletzt aktualisiert am"
+
+msgid "Launch"
+msgstr "Starten"
+
+msgid "Open an issue"
+msgstr "Öffnen Sie ein Problem"
+
+msgid "Fullscreen mode"
+msgstr "Vollbildmodus"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-Buch-Thema"
 
-msgid "Download source file"
-msgstr "Quelldatei herunterladen"
-
 msgid "Contents"
 msgstr "Inhalt"
 
-msgid "By"
-msgstr "Durch"
+msgid "Edit this page"
+msgstr "Bearbeite diese Seite"
 
-msgid "Copyright"
-msgstr "Urheberrechte ©"
+msgid "next page"
+msgstr "Nächste Seite"
 
-msgid "Fullscreen mode"
-msgstr "Vollbildmodus"
+msgid "Source repository"
+msgstr "Quell-Repository"
 
-msgid "Open an issue"
-msgstr "Öffnen Sie ein Problem"
+msgid "By"
+msgstr "Durch"
+
+msgid "By the"
+msgstr "Bis zum"
 
 msgid "previous page"
 msgstr "vorherige Seite"
-
-msgid "Download this page"
-msgstr "Laden Sie diese Seite herunter"
-
-msgid "Theme by the"
-msgstr "Thema von der"
diff --git a/docs/_build/html/_static/locales/el/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/el/LC_MESSAGES/booktheme.po
index bdeb3270a..588f2efd8 100644
--- a/docs/_build/html/_static/locales/el/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/el/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: el\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Λήψη αρχείου προέλευσης"
+
 msgid "suggest edit"
 msgstr "προτείνω επεξεργασία"
 
-msgid "Last updated on"
-msgstr "Τελευταία ενημέρωση στις"
-
-msgid "Edit this page"
-msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
-
-msgid "Launch"
-msgstr "Εκτόξευση"
-
-msgid "Print to PDF"
-msgstr "Εκτύπωση σε PDF"
+msgid "Toggle navigation"
+msgstr "Εναλλαγή πλοήγησης"
 
 msgid "open issue"
 msgstr "ανοιχτό ζήτημα"
@@ -29,47 +23,53 @@ msgstr "ανοιχτό ζήτημα"
 msgid "Download notebook file"
 msgstr "Λήψη αρχείου σημειωματάριου"
 
-msgid "Toggle navigation"
-msgstr "Εναλλαγή πλοήγησης"
+msgid "repository"
+msgstr "αποθήκη"
 
-msgid "Source repository"
-msgstr "Αποθήκη πηγής"
+msgid "Theme by the"
+msgstr "Θέμα από το"
 
-msgid "By the"
-msgstr "Από το"
+msgid "Print to PDF"
+msgstr "Εκτύπωση σε PDF"
 
-msgid "next page"
-msgstr "επόμενη σελίδα"
+msgid "Download this page"
+msgstr "Λήψη αυτής της σελίδας"
 
-msgid "repository"
-msgstr "αποθήκη"
+msgid "Copyright"
+msgstr "Πνευματική ιδιοκτησία"
+
+msgid "Last updated on"
+msgstr "Τελευταία ενημέρωση στις"
+
+msgid "Launch"
+msgstr "Εκτόξευση"
+
+msgid "Open an issue"
+msgstr "Ανοίξτε ένα ζήτημα"
+
+msgid "Fullscreen mode"
+msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
 
 msgid "Sphinx Book Theme"
 msgstr "Θέμα βιβλίου Sphinx"
 
-msgid "Download source file"
-msgstr "Λήψη αρχείου προέλευσης"
-
 msgid "Contents"
 msgstr "Περιεχόμενα"
 
-msgid "By"
-msgstr "Με"
+msgid "Edit this page"
+msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
 
-msgid "Copyright"
-msgstr "Πνευματική ιδιοκτησία"
+msgid "next page"
+msgstr "επόμενη σελίδα"
 
-msgid "Fullscreen mode"
-msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
+msgid "Source repository"
+msgstr "Αποθήκη πηγής"
 
-msgid "Open an issue"
-msgstr "Ανοίξτε ένα ζήτημα"
+msgid "By"
+msgstr "Με"
+
+msgid "By the"
+msgstr "Από το"
 
 msgid "previous page"
 msgstr "προηγούμενη σελίδα"
-
-msgid "Download this page"
-msgstr "Λήψη αυτής της σελίδας"
-
-msgid "Theme by the"
-msgstr "Θέμα από το"
diff --git a/docs/_build/html/_static/locales/eo/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/eo/LC_MESSAGES/booktheme.po
index 6749f3a34..4614fe0aa 100644
--- a/docs/_build/html/_static/locales/eo/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/eo/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: eo\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Elŝutu fontodosieron"
+
 msgid "suggest edit"
 msgstr "sugesti redaktadon"
 
-msgid "Last updated on"
-msgstr "Laste ĝisdatigita la"
-
-msgid "Edit this page"
-msgstr "Redaktu ĉi tiun paĝon"
-
-msgid "Launch"
-msgstr "Lanĉo"
-
-msgid "Print to PDF"
-msgstr "Presi al PDF"
+msgid "Toggle navigation"
+msgstr "Ŝalti navigadon"
 
 msgid "open issue"
 msgstr "malferma numero"
@@ -29,47 +23,53 @@ msgstr "malferma numero"
 msgid "Download notebook file"
 msgstr "Elŝutu kajeran dosieron"
 
-msgid "Toggle navigation"
-msgstr "Ŝalti navigadon"
+msgid "repository"
+msgstr "deponejo"
 
-msgid "Source repository"
-msgstr "Fonto-deponejo"
+msgid "Theme by the"
+msgstr "Temo de la"
 
-msgid "By the"
-msgstr "Per la"
+msgid "Print to PDF"
+msgstr "Presi al PDF"
 
-msgid "next page"
-msgstr "sekva paĝo"
+msgid "Download this page"
+msgstr "Elŝutu ĉi tiun paĝon"
 
-msgid "repository"
-msgstr "deponejo"
+msgid "Copyright"
+msgstr "Kopirajto"
+
+msgid "Last updated on"
+msgstr "Laste ĝisdatigita la"
+
+msgid "Launch"
+msgstr "Lanĉo"
+
+msgid "Open an issue"
+msgstr "Malfermu numeron"
+
+msgid "Fullscreen mode"
+msgstr "Plenekrana reĝimo"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksa Libro-Temo"
 
-msgid "Download source file"
-msgstr "Elŝutu fontodosieron"
-
 msgid "Contents"
 msgstr "Enhavo"
 
-msgid "By"
-msgstr "De"
+msgid "Edit this page"
+msgstr "Redaktu ĉi tiun paĝon"
 
-msgid "Copyright"
-msgstr "Kopirajto"
+msgid "next page"
+msgstr "sekva paĝo"
 
-msgid "Fullscreen mode"
-msgstr "Plenekrana reĝimo"
+msgid "Source repository"
+msgstr "Fonto-deponejo"
 
-msgid "Open an issue"
-msgstr "Malfermu numeron"
+msgid "By"
+msgstr "De"
+
+msgid "By the"
+msgstr "Per la"
 
 msgid "previous page"
 msgstr "antaŭa paĝo"
-
-msgid "Download this page"
-msgstr "Elŝutu ĉi tiun paĝon"
-
-msgid "Theme by the"
-msgstr "Temo de la"
diff --git a/docs/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po
index 71dde37f2..b4fccf194 100644
--- a/docs/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: es\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Descargar archivo fuente"
+
 msgid "suggest edit"
 msgstr "sugerir editar"
 
-msgid "Last updated on"
-msgstr "Ultima actualización en"
-
-msgid "Edit this page"
-msgstr "Edita esta página"
-
-msgid "Launch"
-msgstr "Lanzamiento"
-
-msgid "Print to PDF"
-msgstr "Imprimir en PDF"
+msgid "Toggle navigation"
+msgstr "Navegación de palanca"
 
 msgid "open issue"
 msgstr "Tema abierto"
@@ -29,47 +23,53 @@ msgstr "Tema abierto"
 msgid "Download notebook file"
 msgstr "Descargar archivo de cuaderno"
 
-msgid "Toggle navigation"
-msgstr "Navegación de palanca"
+msgid "repository"
+msgstr "repositorio"
 
-msgid "Source repository"
-msgstr "Repositorio de origen"
+msgid "Theme by the"
+msgstr "Tema por el"
 
-msgid "By the"
-msgstr "Por el"
+msgid "Print to PDF"
+msgstr "Imprimir en PDF"
 
-msgid "next page"
-msgstr "siguiente página"
+msgid "Download this page"
+msgstr "Descarga esta pagina"
 
-msgid "repository"
-msgstr "repositorio"
+msgid "Copyright"
+msgstr "Derechos de autor"
+
+msgid "Last updated on"
+msgstr "Ultima actualización en"
+
+msgid "Launch"
+msgstr "Lanzamiento"
+
+msgid "Open an issue"
+msgstr "Abrir un problema"
+
+msgid "Fullscreen mode"
+msgstr "Modo de pantalla completa"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del libro de la esfinge"
 
-msgid "Download source file"
-msgstr "Descargar archivo fuente"
-
 msgid "Contents"
 msgstr "Contenido"
 
-msgid "By"
-msgstr "Por"
+msgid "Edit this page"
+msgstr "Edita esta página"
 
-msgid "Copyright"
-msgstr "Derechos de autor"
+msgid "next page"
+msgstr "siguiente página"
 
-msgid "Fullscreen mode"
-msgstr "Modo de pantalla completa"
+msgid "Source repository"
+msgstr "Repositorio de origen"
 
-msgid "Open an issue"
-msgstr "Abrir un problema"
+msgid "By"
+msgstr "Por"
+
+msgid "By the"
+msgstr "Por el"
 
 msgid "previous page"
 msgstr "pagina anterior"
-
-msgid "Download this page"
-msgstr "Descarga esta pagina"
-
-msgid "Theme by the"
-msgstr "Tema por el"
diff --git a/docs/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po
index cdcd07c7d..b748b37f0 100644
--- a/docs/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: et\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Laadige alla lähtefail"
+
 msgid "suggest edit"
 msgstr "soovita muuta"
 
-msgid "Last updated on"
-msgstr "Viimati uuendatud"
-
-msgid "Edit this page"
-msgstr "Muutke seda lehte"
-
-msgid "Launch"
-msgstr "Käivitage"
-
-msgid "Print to PDF"
-msgstr "Prindi PDF-i"
+msgid "Toggle navigation"
+msgstr "Lülita navigeerimine sisse"
 
 msgid "open issue"
 msgstr "avatud küsimus"
@@ -29,47 +23,53 @@ msgstr "avatud küsimus"
 msgid "Download notebook file"
 msgstr "Laadige sülearvuti fail alla"
 
-msgid "Toggle navigation"
-msgstr "Lülita navigeerimine sisse"
+msgid "repository"
+msgstr "hoidla"
 
-msgid "Source repository"
-msgstr "Allikahoidla"
+msgid "Theme by the"
+msgstr "Teema"
 
-msgid "By the"
-msgstr "Autor"
+msgid "Print to PDF"
+msgstr "Prindi PDF-i"
 
-msgid "next page"
-msgstr "järgmine leht"
+msgid "Download this page"
+msgstr "Laadige see leht alla"
 
-msgid "repository"
-msgstr "hoidla"
+msgid "Copyright"
+msgstr "Autoriõigus"
+
+msgid "Last updated on"
+msgstr "Viimati uuendatud"
+
+msgid "Launch"
+msgstr "Käivitage"
+
+msgid "Open an issue"
+msgstr "Avage probleem"
+
+msgid "Fullscreen mode"
+msgstr "Täisekraanirežiim"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksiraamatu teema"
 
-msgid "Download source file"
-msgstr "Laadige alla lähtefail"
-
 msgid "Contents"
 msgstr "Sisu"
 
-msgid "By"
-msgstr "Kõrval"
+msgid "Edit this page"
+msgstr "Muutke seda lehte"
 
-msgid "Copyright"
-msgstr "Autoriõigus"
+msgid "next page"
+msgstr "järgmine leht"
 
-msgid "Fullscreen mode"
-msgstr "Täisekraanirežiim"
+msgid "Source repository"
+msgstr "Allikahoidla"
 
-msgid "Open an issue"
-msgstr "Avage probleem"
+msgid "By"
+msgstr "Kõrval"
+
+msgid "By the"
+msgstr "Autor"
 
 msgid "previous page"
 msgstr "eelmine leht"
-
-msgid "Download this page"
-msgstr "Laadige see leht alla"
-
-msgid "Theme by the"
-msgstr "Teema"
diff --git a/docs/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.po
index 3c3dd0896..f58cf58d3 100644
--- a/docs/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: fi\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Lataa lähdetiedosto"
+
 msgid "suggest edit"
 msgstr "ehdottaa muokkausta"
 
-msgid "Last updated on"
-msgstr "Viimeksi päivitetty"
-
-msgid "Edit this page"
-msgstr "Muokkaa tätä sivua"
-
-msgid "Launch"
-msgstr "Tuoda markkinoille"
-
-msgid "Print to PDF"
-msgstr "Tulosta PDF-tiedostoon"
+msgid "Toggle navigation"
+msgstr "Vaihda navigointia"
 
 msgid "open issue"
 msgstr "avoin ongelma"
@@ -29,47 +23,53 @@ msgstr "avoin ongelma"
 msgid "Download notebook file"
 msgstr "Lataa muistikirjatiedosto"
 
-msgid "Toggle navigation"
-msgstr "Vaihda navigointia"
+msgid "repository"
+msgstr "arkisto"
 
-msgid "Source repository"
-msgstr "Lähteen arkisto"
+msgid "Theme by the"
+msgstr "Teeman tekijä"
 
-msgid "By the"
-msgstr "Mukaan"
+msgid "Print to PDF"
+msgstr "Tulosta PDF-tiedostoon"
 
-msgid "next page"
-msgstr "seuraava sivu"
+msgid "Download this page"
+msgstr "Lataa tämä sivu"
 
-msgid "repository"
-msgstr "arkisto"
+msgid "Copyright"
+msgstr "Tekijänoikeus"
+
+msgid "Last updated on"
+msgstr "Viimeksi päivitetty"
+
+msgid "Launch"
+msgstr "Tuoda markkinoille"
+
+msgid "Open an issue"
+msgstr "Avaa ongelma"
+
+msgid "Fullscreen mode"
+msgstr "Koko näytön tila"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-kirjan teema"
 
-msgid "Download source file"
-msgstr "Lataa lähdetiedosto"
-
 msgid "Contents"
 msgstr "Sisällys"
 
-msgid "By"
-msgstr "Tekijä"
+msgid "Edit this page"
+msgstr "Muokkaa tätä sivua"
 
-msgid "Copyright"
-msgstr "Tekijänoikeus"
+msgid "next page"
+msgstr "seuraava sivu"
 
-msgid "Fullscreen mode"
-msgstr "Koko näytön tila"
+msgid "Source repository"
+msgstr "Lähteen arkisto"
 
-msgid "Open an issue"
-msgstr "Avaa ongelma"
+msgid "By"
+msgstr "Tekijä"
+
+msgid "By the"
+msgstr "Mukaan"
 
 msgid "previous page"
 msgstr "Edellinen sivu"
-
-msgid "Download this page"
-msgstr "Lataa tämä sivu"
-
-msgid "Theme by the"
-msgstr "Teeman tekijä"
diff --git a/docs/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po
index b57d2fe74..8a6c94619 100644
--- a/docs/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: fr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Télécharger le fichier source"
+
 msgid "suggest edit"
 msgstr "suggestion de modification"
 
-msgid "Last updated on"
-msgstr "Dernière mise à jour le"
-
-msgid "Edit this page"
-msgstr "Modifier cette page"
-
-msgid "Launch"
-msgstr "lancement"
-
-msgid "Print to PDF"
-msgstr "Imprimer au format PDF"
+msgid "Toggle navigation"
+msgstr "Basculer la navigation"
 
 msgid "open issue"
 msgstr "signaler un problème"
@@ -29,47 +23,53 @@ msgstr "signaler un problème"
 msgid "Download notebook file"
 msgstr "Télécharger le fichier notebook"
 
-msgid "Toggle navigation"
-msgstr "Basculer la navigation"
+msgid "repository"
+msgstr "dépôt"
 
-msgid "Source repository"
-msgstr "Dépôt source"
+msgid "Theme by the"
+msgstr "Thème par le"
 
-msgid "By the"
-msgstr "Par le"
+msgid "Print to PDF"
+msgstr "Imprimer au format PDF"
 
-msgid "next page"
-msgstr "page suivante"
+msgid "Download this page"
+msgstr "Téléchargez cette page"
 
-msgid "repository"
-msgstr "dépôt"
+msgid "Copyright"
+msgstr "droits d'auteur"
+
+msgid "Last updated on"
+msgstr "Dernière mise à jour le"
+
+msgid "Launch"
+msgstr "lancement"
+
+msgid "Open an issue"
+msgstr "Ouvrez un problème"
+
+msgid "Fullscreen mode"
+msgstr "Mode plein écran"
 
 msgid "Sphinx Book Theme"
 msgstr "Thème du livre Sphinx"
 
-msgid "Download source file"
-msgstr "Télécharger le fichier source"
-
 msgid "Contents"
 msgstr "Contenu"
 
-msgid "By"
-msgstr "Par"
+msgid "Edit this page"
+msgstr "Modifier cette page"
 
-msgid "Copyright"
-msgstr "droits d'auteur"
+msgid "next page"
+msgstr "page suivante"
 
-msgid "Fullscreen mode"
-msgstr "Mode plein écran"
+msgid "Source repository"
+msgstr "Dépôt source"
 
-msgid "Open an issue"
-msgstr "Ouvrez un problème"
+msgid "By"
+msgstr "Par"
+
+msgid "By the"
+msgstr "Par le"
 
 msgid "previous page"
 msgstr "page précédente"
-
-msgid "Download this page"
-msgstr "Téléchargez cette page"
-
-msgid "Theme by the"
-msgstr "Thème par le"
diff --git a/docs/_build/html/_static/locales/hr/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/hr/LC_MESSAGES/booktheme.po
index 4c425e89a..4ceb3899f 100644
--- a/docs/_build/html/_static/locales/hr/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/hr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: hr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Preuzmi izvornu datoteku"
+
 msgid "suggest edit"
 msgstr "predloži uređivanje"
 
-msgid "Last updated on"
-msgstr "Posljednje ažuriranje:"
-
-msgid "Edit this page"
-msgstr "Uredite ovu stranicu"
-
-msgid "Launch"
-msgstr "Pokrenite"
-
-msgid "Print to PDF"
-msgstr "Ispis u PDF"
+msgid "Toggle navigation"
+msgstr "Uključi / isključi navigaciju"
 
 msgid "open issue"
 msgstr "otvoreno izdanje"
@@ -29,47 +23,53 @@ msgstr "otvoreno izdanje"
 msgid "Download notebook file"
 msgstr "Preuzmi datoteku bilježnice"
 
-msgid "Toggle navigation"
-msgstr "Uključi / isključi navigaciju"
+msgid "repository"
+msgstr "spremište"
 
-msgid "Source repository"
-msgstr "Izvorno spremište"
+msgid "Theme by the"
+msgstr "Tema autora"
 
-msgid "By the"
-msgstr "Od strane"
+msgid "Print to PDF"
+msgstr "Ispis u PDF"
 
-msgid "next page"
-msgstr "sljedeća stranica"
+msgid "Download this page"
+msgstr "Preuzmite ovu stranicu"
 
-msgid "repository"
-msgstr "spremište"
+msgid "Copyright"
+msgstr "Autorska prava"
+
+msgid "Last updated on"
+msgstr "Posljednje ažuriranje:"
+
+msgid "Launch"
+msgstr "Pokrenite"
+
+msgid "Open an issue"
+msgstr "Otvorite izdanje"
+
+msgid "Fullscreen mode"
+msgstr "Način preko cijelog zaslona"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema knjige Sphinx"
 
-msgid "Download source file"
-msgstr "Preuzmi izvornu datoteku"
-
 msgid "Contents"
 msgstr "Sadržaj"
 
-msgid "By"
-msgstr "Po"
+msgid "Edit this page"
+msgstr "Uredite ovu stranicu"
 
-msgid "Copyright"
-msgstr "Autorska prava"
+msgid "next page"
+msgstr "sljedeća stranica"
 
-msgid "Fullscreen mode"
-msgstr "Način preko cijelog zaslona"
+msgid "Source repository"
+msgstr "Izvorno spremište"
 
-msgid "Open an issue"
-msgstr "Otvorite izdanje"
+msgid "By"
+msgstr "Po"
+
+msgid "By the"
+msgstr "Od strane"
 
 msgid "previous page"
 msgstr "Prethodna stranica"
-
-msgid "Download this page"
-msgstr "Preuzmite ovu stranicu"
-
-msgid "Theme by the"
-msgstr "Tema autora"
diff --git a/docs/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po
index 5db2ae147..1eca59947 100644
--- a/docs/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: id\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Unduh file sumber"
+
 msgid "suggest edit"
 msgstr "menyarankan edit"
 
-msgid "Last updated on"
-msgstr "Terakhir diperbarui saat"
-
-msgid "Edit this page"
-msgstr "Edit halaman ini"
-
-msgid "Launch"
-msgstr "Meluncurkan"
-
-msgid "Print to PDF"
-msgstr "Cetak ke PDF"
+msgid "Toggle navigation"
+msgstr "Alihkan navigasi"
 
 msgid "open issue"
 msgstr "masalah terbuka"
@@ -29,47 +23,53 @@ msgstr "masalah terbuka"
 msgid "Download notebook file"
 msgstr "Unduh file notebook"
 
-msgid "Toggle navigation"
-msgstr "Alihkan navigasi"
+msgid "repository"
+msgstr "gudang"
 
-msgid "Source repository"
-msgstr "Repositori sumber"
+msgid "Theme by the"
+msgstr "Tema oleh"
 
-msgid "By the"
-msgstr "Oleh"
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
 
-msgid "next page"
-msgstr "halaman selanjutnya"
+msgid "Download this page"
+msgstr "Unduh halaman ini"
 
-msgid "repository"
-msgstr "gudang"
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Last updated on"
+msgstr "Terakhir diperbarui saat"
+
+msgid "Launch"
+msgstr "Meluncurkan"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
+
+msgid "Fullscreen mode"
+msgstr "Mode layar penuh"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Buku Sphinx"
 
-msgid "Download source file"
-msgstr "Unduh file sumber"
-
 msgid "Contents"
 msgstr "Isi"
 
-msgid "By"
-msgstr "Oleh"
+msgid "Edit this page"
+msgstr "Edit halaman ini"
 
-msgid "Copyright"
-msgstr "hak cipta"
+msgid "next page"
+msgstr "halaman selanjutnya"
 
-msgid "Fullscreen mode"
-msgstr "Mode layar penuh"
+msgid "Source repository"
+msgstr "Repositori sumber"
 
-msgid "Open an issue"
-msgstr "Buka masalah"
+msgid "By"
+msgstr "Oleh"
+
+msgid "By the"
+msgstr "Oleh"
 
 msgid "previous page"
 msgstr "halaman sebelumnya"
-
-msgid "Download this page"
-msgstr "Unduh halaman ini"
-
-msgid "Theme by the"
-msgstr "Tema oleh"
diff --git a/docs/_build/html/_static/locales/it/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/it/LC_MESSAGES/booktheme.po
index 7d54fdefa..f3169000c 100644
--- a/docs/_build/html/_static/locales/it/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/it/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: it\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Scarica il file sorgente"
+
 msgid "suggest edit"
 msgstr "suggerisci modifica"
 
-msgid "Last updated on"
-msgstr "Ultimo aggiornamento il"
-
-msgid "Edit this page"
-msgstr "Modifica questa pagina"
-
-msgid "Launch"
-msgstr "Lanciare"
-
-msgid "Print to PDF"
-msgstr "Stampa in PDF"
+msgid "Toggle navigation"
+msgstr "Attiva / disattiva la navigazione"
 
 msgid "open issue"
 msgstr "questione aperta"
@@ -29,47 +23,53 @@ msgstr "questione aperta"
 msgid "Download notebook file"
 msgstr "Scarica il file del taccuino"
 
-msgid "Toggle navigation"
-msgstr "Attiva / disattiva la navigazione"
+msgid "repository"
+msgstr "repository"
 
-msgid "Source repository"
-msgstr "Repository di origine"
+msgid "Theme by the"
+msgstr "Tema di"
 
-msgid "By the"
-msgstr "Dal"
+msgid "Print to PDF"
+msgstr "Stampa in PDF"
 
-msgid "next page"
-msgstr "pagina successiva"
+msgid "Download this page"
+msgstr "Scarica questa pagina"
 
-msgid "repository"
-msgstr "repository"
+msgid "Copyright"
+msgstr "Diritto d'autore"
+
+msgid "Last updated on"
+msgstr "Ultimo aggiornamento il"
+
+msgid "Launch"
+msgstr "Lanciare"
+
+msgid "Open an issue"
+msgstr "Apri un problema"
+
+msgid "Fullscreen mode"
+msgstr "Modalità schermo intero"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del libro della Sfinge"
 
-msgid "Download source file"
-msgstr "Scarica il file sorgente"
-
 msgid "Contents"
 msgstr "Contenuti"
 
-msgid "By"
-msgstr "Di"
+msgid "Edit this page"
+msgstr "Modifica questa pagina"
 
-msgid "Copyright"
-msgstr "Diritto d'autore"
+msgid "next page"
+msgstr "pagina successiva"
 
-msgid "Fullscreen mode"
-msgstr "Modalità schermo intero"
+msgid "Source repository"
+msgstr "Repository di origine"
 
-msgid "Open an issue"
-msgstr "Apri un problema"
+msgid "By"
+msgstr "Di"
+
+msgid "By the"
+msgstr "Dal"
 
 msgid "previous page"
 msgstr "pagina precedente"
-
-msgid "Download this page"
-msgstr "Scarica questa pagina"
-
-msgid "Theme by the"
-msgstr "Tema di"
diff --git a/docs/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po
index 32b017cf6..9e6d753e7 100644
--- a/docs/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: iw\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "הורד את קובץ המקור"
+
 msgid "suggest edit"
 msgstr "מציע לערוך"
 
-msgid "Last updated on"
-msgstr "עודכן לאחרונה ב"
-
-msgid "Edit this page"
-msgstr "ערוך דף זה"
-
-msgid "Launch"
-msgstr "לְהַשִׁיק"
-
-msgid "Print to PDF"
-msgstr "הדפס לקובץ PDF"
+msgid "Toggle navigation"
+msgstr "החלף ניווט"
 
 msgid "open issue"
 msgstr "בעיה פתוחה"
@@ -29,47 +23,53 @@ msgstr "בעיה פתוחה"
 msgid "Download notebook file"
 msgstr "הורד קובץ מחברת"
 
-msgid "Toggle navigation"
-msgstr "החלף ניווט"
+msgid "repository"
+msgstr "מאגר"
 
-msgid "Source repository"
-msgstr "מאגר המקורות"
+msgid "Theme by the"
+msgstr "נושא מאת"
 
-msgid "By the"
-msgstr "דרך"
+msgid "Print to PDF"
+msgstr "הדפס לקובץ PDF"
 
-msgid "next page"
-msgstr "עמוד הבא"
+msgid "Download this page"
+msgstr "הורד דף זה"
 
-msgid "repository"
-msgstr "מאגר"
+msgid "Copyright"
+msgstr "זכויות יוצרים"
+
+msgid "Last updated on"
+msgstr "עודכן לאחרונה ב"
+
+msgid "Launch"
+msgstr "לְהַשִׁיק"
+
+msgid "Open an issue"
+msgstr "פתח גיליון"
+
+msgid "Fullscreen mode"
+msgstr "מצב מסך מלא"
 
 msgid "Sphinx Book Theme"
 msgstr "נושא ספר ספינקס"
 
-msgid "Download source file"
-msgstr "הורד את קובץ המקור"
-
 msgid "Contents"
 msgstr "תוכן"
 
-msgid "By"
-msgstr "על ידי"
+msgid "Edit this page"
+msgstr "ערוך דף זה"
 
-msgid "Copyright"
-msgstr "זכויות יוצרים"
+msgid "next page"
+msgstr "עמוד הבא"
 
-msgid "Fullscreen mode"
-msgstr "מצב מסך מלא"
+msgid "Source repository"
+msgstr "מאגר המקורות"
 
-msgid "Open an issue"
-msgstr "פתח גיליון"
+msgid "By"
+msgstr "על ידי"
+
+msgid "By the"
+msgstr "דרך"
 
 msgid "previous page"
 msgstr "עמוד קודם"
-
-msgid "Download this page"
-msgstr "הורד דף זה"
-
-msgid "Theme by the"
-msgstr "נושא מאת"
diff --git a/docs/_build/html/_static/locales/ja/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ja/LC_MESSAGES/booktheme.po
index 16924e197..c1a314896 100644
--- a/docs/_build/html/_static/locales/ja/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ja/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ja\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "ソースファイルをダウンロード"
+
 msgid "suggest edit"
 msgstr "編集を提案する"
 
-msgid "Last updated on"
-msgstr "最終更新日"
-
-msgid "Edit this page"
-msgstr "このページを編集"
-
-msgid "Launch"
-msgstr "起動"
-
-msgid "Print to PDF"
-msgstr "PDFに印刷"
+msgid "Toggle navigation"
+msgstr "ナビゲーションを切り替え"
 
 msgid "open issue"
 msgstr "未解決の問題"
@@ -29,47 +23,53 @@ msgstr "未解決の問題"
 msgid "Download notebook file"
 msgstr "ノートブックファイルをダウンロード"
 
-msgid "Toggle navigation"
-msgstr "ナビゲーションを切り替え"
+msgid "repository"
+msgstr "リポジトリ"
 
-msgid "Source repository"
-msgstr "ソースリポジトリ"
+msgid "Theme by the"
+msgstr "のテーマ"
 
-msgid "By the"
-msgstr "によって"
+msgid "Print to PDF"
+msgstr "PDFに印刷"
 
-msgid "next page"
-msgstr "次のページ"
+msgid "Download this page"
+msgstr "このページをダウンロード"
 
-msgid "repository"
-msgstr "リポジトリ"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Last updated on"
+msgstr "最終更新日"
+
+msgid "Launch"
+msgstr "起動"
+
+msgid "Open an issue"
+msgstr "問題を報告"
+
+msgid "Fullscreen mode"
+msgstr "全画面モード"
 
 msgid "Sphinx Book Theme"
 msgstr "スフィンクスの本のテーマ"
 
-msgid "Download source file"
-msgstr "ソースファイルをダウンロード"
-
 msgid "Contents"
 msgstr "目次"
 
-msgid "By"
-msgstr "著者"
+msgid "Edit this page"
+msgstr "このページを編集"
 
-msgid "Copyright"
-msgstr "Copyright"
+msgid "next page"
+msgstr "次のページ"
 
-msgid "Fullscreen mode"
-msgstr "全画面モード"
+msgid "Source repository"
+msgstr "ソースリポジトリ"
 
-msgid "Open an issue"
-msgstr "問題を報告"
+msgid "By"
+msgstr "著者"
+
+msgid "By the"
+msgstr "によって"
 
 msgid "previous page"
 msgstr "前のページ"
-
-msgid "Download this page"
-msgstr "このページをダウンロード"
-
-msgid "Theme by the"
-msgstr "のテーマ"
diff --git a/docs/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po
index 69dd18f77..80142313b 100644
--- a/docs/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ko\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "소스 파일 다운로드"
+
 msgid "suggest edit"
 msgstr "편집 제안"
 
-msgid "Last updated on"
-msgstr "마지막 업데이트"
-
-msgid "Edit this page"
-msgstr "이 페이지 편집"
-
-msgid "Launch"
-msgstr "시작하다"
-
-msgid "Print to PDF"
-msgstr "PDF로 인쇄"
+msgid "Toggle navigation"
+msgstr "탐색 전환"
 
 msgid "open issue"
 msgstr "열린 문제"
@@ -29,47 +23,53 @@ msgstr "열린 문제"
 msgid "Download notebook file"
 msgstr "노트북 파일 다운로드"
 
-msgid "Toggle navigation"
-msgstr "탐색 전환"
+msgid "repository"
+msgstr "저장소"
 
-msgid "Source repository"
-msgstr "소스 저장소"
+msgid "Theme by the"
+msgstr "테마별"
 
-msgid "By the"
-msgstr "에 의해"
+msgid "Print to PDF"
+msgstr "PDF로 인쇄"
 
-msgid "next page"
-msgstr "다음 페이지"
+msgid "Download this page"
+msgstr "이 페이지 다운로드"
 
-msgid "repository"
-msgstr "저장소"
+msgid "Copyright"
+msgstr "저작권"
+
+msgid "Last updated on"
+msgstr "마지막 업데이트"
+
+msgid "Launch"
+msgstr "시작하다"
+
+msgid "Open an issue"
+msgstr "이슈 열기"
+
+msgid "Fullscreen mode"
+msgstr "전체 화면으로보기"
 
 msgid "Sphinx Book Theme"
 msgstr "스핑크스 도서 테마"
 
-msgid "Download source file"
-msgstr "소스 파일 다운로드"
-
 msgid "Contents"
 msgstr "내용"
 
-msgid "By"
-msgstr "으로"
+msgid "Edit this page"
+msgstr "이 페이지 편집"
 
-msgid "Copyright"
-msgstr "저작권"
+msgid "next page"
+msgstr "다음 페이지"
 
-msgid "Fullscreen mode"
-msgstr "전체 화면으로보기"
+msgid "Source repository"
+msgstr "소스 저장소"
 
-msgid "Open an issue"
-msgstr "이슈 열기"
+msgid "By"
+msgstr "으로"
+
+msgid "By the"
+msgstr "에 의해"
 
 msgid "previous page"
 msgstr "이전 페이지"
-
-msgid "Download this page"
-msgstr "이 페이지 다운로드"
-
-msgid "Theme by the"
-msgstr "테마별"
diff --git a/docs/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po
index 9f037752c..2e6915a9f 100644
--- a/docs/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: lt\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Atsisiųsti šaltinio failą"
+
 msgid "suggest edit"
 msgstr "pasiūlyti redaguoti"
 
-msgid "Last updated on"
-msgstr "Paskutinį kartą atnaujinta"
-
-msgid "Edit this page"
-msgstr "Redaguoti šį puslapį"
-
-msgid "Launch"
-msgstr "Paleiskite"
-
-msgid "Print to PDF"
-msgstr "Spausdinti į PDF"
+msgid "Toggle navigation"
+msgstr "Perjungti naršymą"
 
 msgid "open issue"
 msgstr "atviras klausimas"
@@ -29,47 +23,53 @@ msgstr "atviras klausimas"
 msgid "Download notebook file"
 msgstr "Atsisiųsti nešiojamojo kompiuterio failą"
 
-msgid "Toggle navigation"
-msgstr "Perjungti naršymą"
+msgid "repository"
+msgstr "saugykla"
 
-msgid "Source repository"
-msgstr "Šaltinio saugykla"
+msgid "Theme by the"
+msgstr "Tema"
 
-msgid "By the"
-msgstr "Prie"
+msgid "Print to PDF"
+msgstr "Spausdinti į PDF"
 
-msgid "next page"
-msgstr "Kitas puslapis"
+msgid "Download this page"
+msgstr "Atsisiųskite šį puslapį"
 
-msgid "repository"
-msgstr "saugykla"
+msgid "Copyright"
+msgstr "Autorių teisės"
+
+msgid "Last updated on"
+msgstr "Paskutinį kartą atnaujinta"
+
+msgid "Launch"
+msgstr "Paleiskite"
+
+msgid "Open an issue"
+msgstr "Atidarykite problemą"
+
+msgid "Fullscreen mode"
+msgstr "Pilno ekrano režimas"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinkso knygos tema"
 
-msgid "Download source file"
-msgstr "Atsisiųsti šaltinio failą"
-
 msgid "Contents"
 msgstr "Turinys"
 
-msgid "By"
-msgstr "Iki"
+msgid "Edit this page"
+msgstr "Redaguoti šį puslapį"
 
-msgid "Copyright"
-msgstr "Autorių teisės"
+msgid "next page"
+msgstr "Kitas puslapis"
 
-msgid "Fullscreen mode"
-msgstr "Pilno ekrano režimas"
+msgid "Source repository"
+msgstr "Šaltinio saugykla"
 
-msgid "Open an issue"
-msgstr "Atidarykite problemą"
+msgid "By"
+msgstr "Iki"
+
+msgid "By the"
+msgstr "Prie"
 
 msgid "previous page"
 msgstr "Ankstesnis puslapis"
-
-msgid "Download this page"
-msgstr "Atsisiųskite šį puslapį"
-
-msgid "Theme by the"
-msgstr "Tema"
diff --git a/docs/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po
index c9633b545..d4f4b1507 100644
--- a/docs/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: lv\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Lejupielādēt avota failu"
+
 msgid "suggest edit"
 msgstr "ieteikt rediģēt"
 
-msgid "Last updated on"
-msgstr "Pēdējoreiz atjaunināts"
-
-msgid "Edit this page"
-msgstr "Rediģēt šo lapu"
-
-msgid "Launch"
-msgstr "Uzsākt"
-
-msgid "Print to PDF"
-msgstr "Drukāt PDF formātā"
+msgid "Toggle navigation"
+msgstr "Pārslēgt navigāciju"
 
 msgid "open issue"
 msgstr "atklāts jautājums"
@@ -29,47 +23,53 @@ msgstr "atklāts jautājums"
 msgid "Download notebook file"
 msgstr "Lejupielādēt piezīmju grāmatiņu"
 
-msgid "Toggle navigation"
-msgstr "Pārslēgt navigāciju"
+msgid "repository"
+msgstr "krātuve"
 
-msgid "Source repository"
-msgstr "Avota krātuve"
+msgid "Theme by the"
+msgstr "Autora tēma"
 
-msgid "By the"
-msgstr "Ar"
+msgid "Print to PDF"
+msgstr "Drukāt PDF formātā"
 
-msgid "next page"
-msgstr "nākamā lapaspuse"
+msgid "Download this page"
+msgstr "Lejupielādējiet šo lapu"
 
-msgid "repository"
-msgstr "krātuve"
+msgid "Copyright"
+msgstr "Autortiesības"
+
+msgid "Last updated on"
+msgstr "Pēdējoreiz atjaunināts"
+
+msgid "Launch"
+msgstr "Uzsākt"
+
+msgid "Open an issue"
+msgstr "Atveriet problēmu"
+
+msgid "Fullscreen mode"
+msgstr "Pilnekrāna režīms"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksa grāmatas tēma"
 
-msgid "Download source file"
-msgstr "Lejupielādēt avota failu"
-
 msgid "Contents"
 msgstr "Saturs"
 
-msgid "By"
-msgstr "Autors"
+msgid "Edit this page"
+msgstr "Rediģēt šo lapu"
 
-msgid "Copyright"
-msgstr "Autortiesības"
+msgid "next page"
+msgstr "nākamā lapaspuse"
 
-msgid "Fullscreen mode"
-msgstr "Pilnekrāna režīms"
+msgid "Source repository"
+msgstr "Avota krātuve"
 
-msgid "Open an issue"
-msgstr "Atveriet problēmu"
+msgid "By"
+msgstr "Autors"
+
+msgid "By the"
+msgstr "Ar"
 
 msgid "previous page"
 msgstr "iepriekšējā lapa"
-
-msgid "Download this page"
-msgstr "Lejupielādējiet šo lapu"
-
-msgid "Theme by the"
-msgstr "Autora tēma"
diff --git a/docs/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po
index 9a6a41e8e..5d8ed33b6 100644
--- a/docs/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ml\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
+
 msgid "suggest edit"
 msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
 
-msgid "Last updated on"
-msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
-
-msgid "Edit this page"
-msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
-
-msgid "Launch"
-msgstr "സമാരംഭിക്കുക"
-
-msgid "Print to PDF"
-msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
+msgid "Toggle navigation"
+msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
 
 msgid "open issue"
 msgstr "തുറന്ന പ്രശ്നം"
@@ -29,38 +23,44 @@ msgstr "തുറന്ന പ്രശ്നം"
 msgid "Download notebook file"
 msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക"
 
-msgid "Toggle navigation"
-msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
+msgid "Theme by the"
+msgstr "പ്രമേയം"
 
-msgid "Source repository"
-msgstr "ഉറവിട ശേഖരം"
+msgid "Print to PDF"
+msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
 
-msgid "By the"
-msgstr "എഴുതിയത്"
+msgid "Download this page"
+msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
 
-msgid "next page"
-msgstr "അടുത്ത പേജ്"
+msgid "Copyright"
+msgstr "പകർപ്പവകാശം"
+
+msgid "Last updated on"
+msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
+
+msgid "Launch"
+msgstr "സമാരംഭിക്കുക"
+
+msgid "Open an issue"
+msgstr "ഒരു പ്രശ്നം തുറക്കുക"
 
 msgid "Sphinx Book Theme"
 msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം"
 
-msgid "Download source file"
-msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
+msgid "Edit this page"
+msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
+
+msgid "next page"
+msgstr "അടുത്ത പേജ്"
+
+msgid "Source repository"
+msgstr "ഉറവിട ശേഖരം"
 
 msgid "By"
 msgstr "എഴുതിയത്"
 
-msgid "Copyright"
-msgstr "പകർപ്പവകാശം"
-
-msgid "Open an issue"
-msgstr "ഒരു പ്രശ്നം തുറക്കുക"
+msgid "By the"
+msgstr "എഴുതിയത്"
 
 msgid "previous page"
 msgstr "മുൻപത്തെ താൾ"
-
-msgid "Download this page"
-msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
-
-msgid "Theme by the"
-msgstr "പ്രമേയം"
diff --git a/docs/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po
index ef72d8c6b..64389fac9 100644
--- a/docs/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: mr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "स्त्रोत फाइल डाउनलोड करा"
+
 msgid "suggest edit"
 msgstr "संपादन सुचवा"
 
-msgid "Last updated on"
-msgstr "अखेरचे अद्यतनित"
-
-msgid "Edit this page"
-msgstr "हे पृष्ठ संपादित करा"
-
-msgid "Launch"
-msgstr "लाँच करा"
-
-msgid "Print to PDF"
-msgstr "पीडीएफवर मुद्रित करा"
+msgid "Toggle navigation"
+msgstr "नेव्हिगेशन टॉगल करा"
 
 msgid "open issue"
 msgstr "खुला मुद्दा"
@@ -29,38 +23,44 @@ msgstr "खुला मुद्दा"
 msgid "Download notebook file"
 msgstr "नोटबुक फाईल डाउनलोड करा"
 
-msgid "Toggle navigation"
-msgstr "नेव्हिगेशन टॉगल करा"
+msgid "Theme by the"
+msgstr "द्वारा थीम"
 
-msgid "Source repository"
-msgstr "स्त्रोत भांडार"
+msgid "Print to PDF"
+msgstr "पीडीएफवर मुद्रित करा"
 
-msgid "By the"
-msgstr "द्वारा"
+msgid "Download this page"
+msgstr "हे पृष्ठ डाउनलोड करा"
 
-msgid "next page"
-msgstr "पुढील पृष्ठ"
+msgid "Copyright"
+msgstr "कॉपीराइट"
+
+msgid "Last updated on"
+msgstr "अखेरचे अद्यतनित"
+
+msgid "Launch"
+msgstr "लाँच करा"
+
+msgid "Open an issue"
+msgstr "एक मुद्दा उघडा"
 
 msgid "Sphinx Book Theme"
 msgstr "स्फिंक्स बुक थीम"
 
-msgid "Download source file"
-msgstr "स्त्रोत फाइल डाउनलोड करा"
+msgid "Edit this page"
+msgstr "हे पृष्ठ संपादित करा"
+
+msgid "next page"
+msgstr "पुढील पृष्ठ"
+
+msgid "Source repository"
+msgstr "स्त्रोत भांडार"
 
 msgid "By"
 msgstr "द्वारा"
 
-msgid "Copyright"
-msgstr "कॉपीराइट"
-
-msgid "Open an issue"
-msgstr "एक मुद्दा उघडा"
+msgid "By the"
+msgstr "द्वारा"
 
 msgid "previous page"
 msgstr "मागील पान"
-
-msgid "Download this page"
-msgstr "हे पृष्ठ डाउनलोड करा"
-
-msgid "Theme by the"
-msgstr "द्वारा थीम"
diff --git a/docs/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po
index e29cbe2ec..4365ff549 100644
--- a/docs/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ms\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Muat turun fail sumber"
+
 msgid "suggest edit"
 msgstr "cadangkan edit"
 
-msgid "Last updated on"
-msgstr "Terakhir dikemas kini pada"
-
-msgid "Edit this page"
-msgstr "Edit halaman ini"
-
-msgid "Launch"
-msgstr "Lancarkan"
-
-msgid "Print to PDF"
-msgstr "Cetak ke PDF"
+msgid "Toggle navigation"
+msgstr "Togol navigasi"
 
 msgid "open issue"
 msgstr "isu terbuka"
@@ -29,38 +23,44 @@ msgstr "isu terbuka"
 msgid "Download notebook file"
 msgstr "Muat turun fail buku nota"
 
-msgid "Toggle navigation"
-msgstr "Togol navigasi"
+msgid "Theme by the"
+msgstr "Tema oleh"
 
-msgid "Source repository"
-msgstr "Repositori sumber"
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
 
-msgid "By the"
-msgstr "Oleh"
+msgid "Download this page"
+msgstr "Muat turun halaman ini"
 
-msgid "next page"
-msgstr "muka surat seterusnya"
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Last updated on"
+msgstr "Terakhir dikemas kini pada"
+
+msgid "Launch"
+msgstr "Lancarkan"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Buku Sphinx"
 
-msgid "Download source file"
-msgstr "Muat turun fail sumber"
+msgid "Edit this page"
+msgstr "Edit halaman ini"
+
+msgid "next page"
+msgstr "muka surat seterusnya"
+
+msgid "Source repository"
+msgstr "Repositori sumber"
 
 msgid "By"
 msgstr "Oleh"
 
-msgid "Copyright"
-msgstr "hak cipta"
-
-msgid "Open an issue"
-msgstr "Buka masalah"
+msgid "By the"
+msgstr "Oleh"
 
 msgid "previous page"
 msgstr "halaman sebelumnya"
-
-msgid "Download this page"
-msgstr "Muat turun halaman ini"
-
-msgid "Theme by the"
-msgstr "Tema oleh"
diff --git a/docs/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po
index e4844d7c9..f7b18e5d5 100644
--- a/docs/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: nl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Download het bronbestand"
+
 msgid "suggest edit"
 msgstr "suggereren bewerken"
 
-msgid "Last updated on"
-msgstr "Laatst geupdate op"
-
-msgid "Edit this page"
-msgstr "bewerk deze pagina"
-
-msgid "Launch"
-msgstr "Lancering"
-
-msgid "Print to PDF"
-msgstr "Afdrukken naar pdf"
+msgid "Toggle navigation"
+msgstr "Schakel navigatie"
 
 msgid "open issue"
 msgstr "open probleem"
@@ -29,47 +23,53 @@ msgstr "open probleem"
 msgid "Download notebook file"
 msgstr "Download notebookbestand"
 
-msgid "Toggle navigation"
-msgstr "Schakel navigatie"
+msgid "repository"
+msgstr "repository"
 
-msgid "Source repository"
-msgstr "Bronopslagplaats"
+msgid "Theme by the"
+msgstr "Thema door de"
 
-msgid "By the"
-msgstr "Door de"
+msgid "Print to PDF"
+msgstr "Afdrukken naar pdf"
 
-msgid "next page"
-msgstr "volgende bladzijde"
+msgid "Download this page"
+msgstr "Download deze pagina"
 
-msgid "repository"
-msgstr "repository"
+msgid "Copyright"
+msgstr "auteursrechten"
+
+msgid "Last updated on"
+msgstr "Laatst geupdate op"
+
+msgid "Launch"
+msgstr "Lancering"
+
+msgid "Open an issue"
+msgstr "Open een probleem"
+
+msgid "Fullscreen mode"
+msgstr "Volledig scherm"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-boekthema"
 
-msgid "Download source file"
-msgstr "Download het bronbestand"
-
 msgid "Contents"
 msgstr "Inhoud"
 
-msgid "By"
-msgstr "Door"
+msgid "Edit this page"
+msgstr "bewerk deze pagina"
 
-msgid "Copyright"
-msgstr "auteursrechten"
+msgid "next page"
+msgstr "volgende bladzijde"
 
-msgid "Fullscreen mode"
-msgstr "Volledig scherm"
+msgid "Source repository"
+msgstr "Bronopslagplaats"
 
-msgid "Open an issue"
-msgstr "Open een probleem"
+msgid "By"
+msgstr "Door"
+
+msgid "By the"
+msgstr "Door de"
 
 msgid "previous page"
 msgstr "vorige pagina"
-
-msgid "Download this page"
-msgstr "Download deze pagina"
-
-msgid "Theme by the"
-msgstr "Thema door de"
diff --git a/docs/_build/html/_static/locales/no/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/no/LC_MESSAGES/booktheme.po
index d079dd9b0..274823a86 100644
--- a/docs/_build/html/_static/locales/no/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/no/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: no\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Last ned kildefilen"
+
 msgid "suggest edit"
 msgstr "foreslå redigering"
 
-msgid "Last updated on"
-msgstr "Sist oppdatert den"
-
-msgid "Edit this page"
-msgstr "Rediger denne siden"
-
-msgid "Launch"
-msgstr "Start"
-
-msgid "Print to PDF"
-msgstr "Skriv ut til PDF"
+msgid "Toggle navigation"
+msgstr "Bytt navigasjon"
 
 msgid "open issue"
 msgstr "åpent nummer"
@@ -29,47 +23,53 @@ msgstr "åpent nummer"
 msgid "Download notebook file"
 msgstr "Last ned notatbokfilen"
 
-msgid "Toggle navigation"
-msgstr "Bytt navigasjon"
+msgid "repository"
+msgstr "oppbevaringssted"
 
-msgid "Source repository"
-msgstr "Kildedepot"
+msgid "Theme by the"
+msgstr "Tema av"
 
-msgid "By the"
-msgstr "Ved"
+msgid "Print to PDF"
+msgstr "Skriv ut til PDF"
 
-msgid "next page"
-msgstr "neste side"
+msgid "Download this page"
+msgstr "Last ned denne siden"
 
-msgid "repository"
-msgstr "oppbevaringssted"
+msgid "Copyright"
+msgstr "opphavsrett"
+
+msgid "Last updated on"
+msgstr "Sist oppdatert den"
+
+msgid "Launch"
+msgstr "Start"
+
+msgid "Open an issue"
+msgstr "Åpne et problem"
+
+msgid "Fullscreen mode"
+msgstr "Fullskjerm-modus"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx boktema"
 
-msgid "Download source file"
-msgstr "Last ned kildefilen"
-
 msgid "Contents"
 msgstr "Innhold"
 
-msgid "By"
-msgstr "Av"
+msgid "Edit this page"
+msgstr "Rediger denne siden"
 
-msgid "Copyright"
-msgstr "opphavsrett"
+msgid "next page"
+msgstr "neste side"
 
-msgid "Fullscreen mode"
-msgstr "Fullskjerm-modus"
+msgid "Source repository"
+msgstr "Kildedepot"
 
-msgid "Open an issue"
-msgstr "Åpne et problem"
+msgid "By"
+msgstr "Av"
+
+msgid "By the"
+msgstr "Ved"
 
 msgid "previous page"
 msgstr "forrige side"
-
-msgid "Download this page"
-msgstr "Last ned denne siden"
-
-msgid "Theme by the"
-msgstr "Tema av"
diff --git a/docs/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po
index fcac51d32..dfba3f698 100644
--- a/docs/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: pl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Pobierz plik źródłowy"
+
 msgid "suggest edit"
 msgstr "zaproponuj edycję"
 
-msgid "Last updated on"
-msgstr "Ostatnia aktualizacja"
-
-msgid "Edit this page"
-msgstr "Edytuj tę strone"
-
-msgid "Launch"
-msgstr "Uruchomić"
-
-msgid "Print to PDF"
-msgstr "Drukuj do PDF"
+msgid "Toggle navigation"
+msgstr "Przełącz nawigację"
 
 msgid "open issue"
 msgstr "otwarty problem"
@@ -29,47 +23,53 @@ msgstr "otwarty problem"
 msgid "Download notebook file"
 msgstr "Pobierz plik notatnika"
 
-msgid "Toggle navigation"
-msgstr "Przełącz nawigację"
+msgid "repository"
+msgstr "magazyn"
 
-msgid "Source repository"
-msgstr "Repozytorium źródłowe"
+msgid "Theme by the"
+msgstr "Motyw autorstwa"
 
-msgid "By the"
-msgstr "Przez"
+msgid "Print to PDF"
+msgstr "Drukuj do PDF"
 
-msgid "next page"
-msgstr "Następna strona"
+msgid "Download this page"
+msgstr "Pobierz tę stronę"
 
-msgid "repository"
-msgstr "magazyn"
+msgid "Copyright"
+msgstr "prawa autorskie"
+
+msgid "Last updated on"
+msgstr "Ostatnia aktualizacja"
+
+msgid "Launch"
+msgstr "Uruchomić"
+
+msgid "Open an issue"
+msgstr "Otwórz problem"
+
+msgid "Fullscreen mode"
+msgstr "Pełny ekran"
 
 msgid "Sphinx Book Theme"
 msgstr "Motyw książki Sphinx"
 
-msgid "Download source file"
-msgstr "Pobierz plik źródłowy"
-
 msgid "Contents"
 msgstr "Zawartość"
 
-msgid "By"
-msgstr "Przez"
+msgid "Edit this page"
+msgstr "Edytuj tę strone"
 
-msgid "Copyright"
-msgstr "prawa autorskie"
+msgid "next page"
+msgstr "Następna strona"
 
-msgid "Fullscreen mode"
-msgstr "Pełny ekran"
+msgid "Source repository"
+msgstr "Repozytorium źródłowe"
 
-msgid "Open an issue"
-msgstr "Otwórz problem"
+msgid "By"
+msgstr "Przez"
+
+msgid "By the"
+msgstr "Przez"
 
 msgid "previous page"
 msgstr "Poprzednia strona"
-
-msgid "Download this page"
-msgstr "Pobierz tę stronę"
-
-msgid "Theme by the"
-msgstr "Motyw autorstwa"
diff --git a/docs/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po
index 1761db08a..4c24eb9e2 100644
--- a/docs/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: pt\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Baixar arquivo fonte"
+
 msgid "suggest edit"
 msgstr "sugerir edição"
 
-msgid "Last updated on"
-msgstr "Última atualização em"
-
-msgid "Edit this page"
-msgstr "Edite essa página"
-
-msgid "Launch"
-msgstr "Lançamento"
-
-msgid "Print to PDF"
-msgstr "Imprimir em PDF"
+msgid "Toggle navigation"
+msgstr "Alternar de navegação"
 
 msgid "open issue"
 msgstr "questão aberta"
@@ -29,47 +23,53 @@ msgstr "questão aberta"
 msgid "Download notebook file"
 msgstr "Baixar arquivo de notebook"
 
-msgid "Toggle navigation"
-msgstr "Alternar de navegação"
+msgid "repository"
+msgstr "repositório"
 
-msgid "Source repository"
-msgstr "Repositório fonte"
+msgid "Theme by the"
+msgstr "Tema por"
 
-msgid "By the"
-msgstr "Pelo"
+msgid "Print to PDF"
+msgstr "Imprimir em PDF"
 
-msgid "next page"
-msgstr "próxima página"
+msgid "Download this page"
+msgstr "Baixe esta página"
 
-msgid "repository"
-msgstr "repositório"
+msgid "Copyright"
+msgstr "direito autoral"
+
+msgid "Last updated on"
+msgstr "Última atualização em"
+
+msgid "Launch"
+msgstr "Lançamento"
+
+msgid "Open an issue"
+msgstr "Abra um problema"
+
+msgid "Fullscreen mode"
+msgstr "Modo tela cheia"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema do livro Sphinx"
 
-msgid "Download source file"
-msgstr "Baixar arquivo fonte"
-
 msgid "Contents"
 msgstr "Conteúdo"
 
-msgid "By"
-msgstr "De"
+msgid "Edit this page"
+msgstr "Edite essa página"
 
-msgid "Copyright"
-msgstr "direito autoral"
+msgid "next page"
+msgstr "próxima página"
 
-msgid "Fullscreen mode"
-msgstr "Modo tela cheia"
+msgid "Source repository"
+msgstr "Repositório fonte"
 
-msgid "Open an issue"
-msgstr "Abra um problema"
+msgid "By"
+msgstr "De"
+
+msgid "By the"
+msgstr "Pelo"
 
 msgid "previous page"
 msgstr "página anterior"
-
-msgid "Download this page"
-msgstr "Baixe esta página"
-
-msgid "Theme by the"
-msgstr "Tema por"
diff --git a/docs/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po
index db865c8f6..5f03d9cdb 100644
--- a/docs/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ro\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Descărcați fișierul sursă"
+
 msgid "suggest edit"
 msgstr "sugerează editare"
 
-msgid "Last updated on"
-msgstr "Ultima actualizare la"
-
-msgid "Edit this page"
-msgstr "Editați această pagină"
-
-msgid "Launch"
-msgstr "Lansa"
-
-msgid "Print to PDF"
-msgstr "Imprimați în PDF"
+msgid "Toggle navigation"
+msgstr "Comutare navigare"
 
 msgid "open issue"
 msgstr "problema deschisă"
@@ -29,47 +23,53 @@ msgstr "problema deschisă"
 msgid "Download notebook file"
 msgstr "Descărcați fișierul notebook"
 
-msgid "Toggle navigation"
-msgstr "Comutare navigare"
+msgid "repository"
+msgstr "repertoriu"
 
-msgid "Source repository"
-msgstr "Depozit sursă"
+msgid "Theme by the"
+msgstr "Tema de"
 
-msgid "By the"
-msgstr "Langa"
+msgid "Print to PDF"
+msgstr "Imprimați în PDF"
 
-msgid "next page"
-msgstr "pagina următoare"
+msgid "Download this page"
+msgstr "Descarcă această pagină"
 
-msgid "repository"
-msgstr "repertoriu"
+msgid "Copyright"
+msgstr "Drepturi de autor"
+
+msgid "Last updated on"
+msgstr "Ultima actualizare la"
+
+msgid "Launch"
+msgstr "Lansa"
+
+msgid "Open an issue"
+msgstr "Deschideți o problemă"
+
+msgid "Fullscreen mode"
+msgstr "Modul ecran întreg"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Sphinx Book"
 
-msgid "Download source file"
-msgstr "Descărcați fișierul sursă"
-
 msgid "Contents"
 msgstr "Cuprins"
 
-msgid "By"
-msgstr "De"
+msgid "Edit this page"
+msgstr "Editați această pagină"
 
-msgid "Copyright"
-msgstr "Drepturi de autor"
+msgid "next page"
+msgstr "pagina următoare"
 
-msgid "Fullscreen mode"
-msgstr "Modul ecran întreg"
+msgid "Source repository"
+msgstr "Depozit sursă"
 
-msgid "Open an issue"
-msgstr "Deschideți o problemă"
+msgid "By"
+msgstr "De"
+
+msgid "By the"
+msgstr "Langa"
 
 msgid "previous page"
 msgstr "pagina anterioară"
-
-msgid "Download this page"
-msgstr "Descarcă această pagină"
-
-msgid "Theme by the"
-msgstr "Tema de"
diff --git a/docs/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po
index 84ab6eb53..2886570d0 100644
--- a/docs/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ru\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Скачать исходный файл"
+
 msgid "suggest edit"
 msgstr "предложить редактировать"
 
-msgid "Last updated on"
-msgstr "Последнее обновление"
-
-msgid "Edit this page"
-msgstr "Редактировать эту страницу"
-
-msgid "Launch"
-msgstr "Запуск"
-
-msgid "Print to PDF"
-msgstr "Распечатать в PDF"
+msgid "Toggle navigation"
+msgstr "Переключить навигацию"
 
 msgid "open issue"
 msgstr "открытый вопрос"
@@ -29,47 +23,53 @@ msgstr "открытый вопрос"
 msgid "Download notebook file"
 msgstr "Скачать файл записной книжки"
 
-msgid "Toggle navigation"
-msgstr "Переключить навигацию"
+msgid "repository"
+msgstr "хранилище"
 
-msgid "Source repository"
-msgstr "Исходный репозиторий"
+msgid "Theme by the"
+msgstr "Тема от"
 
-msgid "By the"
-msgstr "Посредством"
+msgid "Print to PDF"
+msgstr "Распечатать в PDF"
 
-msgid "next page"
-msgstr "Следующая страница"
+msgid "Download this page"
+msgstr "Загрузите эту страницу"
 
-msgid "repository"
-msgstr "хранилище"
+msgid "Copyright"
+msgstr "авторское право"
+
+msgid "Last updated on"
+msgstr "Последнее обновление"
+
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Open an issue"
+msgstr "Открыть вопрос"
+
+msgid "Fullscreen mode"
+msgstr "Полноэкранный режим"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема книги Сфинкс"
 
-msgid "Download source file"
-msgstr "Скачать исходный файл"
-
 msgid "Contents"
 msgstr "Содержание"
 
-msgid "By"
-msgstr "По"
+msgid "Edit this page"
+msgstr "Редактировать эту страницу"
 
-msgid "Copyright"
-msgstr "авторское право"
+msgid "next page"
+msgstr "Следующая страница"
 
-msgid "Fullscreen mode"
-msgstr "Полноэкранный режим"
+msgid "Source repository"
+msgstr "Исходный репозиторий"
 
-msgid "Open an issue"
-msgstr "Открыть вопрос"
+msgid "By"
+msgstr "По"
+
+msgid "By the"
+msgstr "Посредством"
 
 msgid "previous page"
 msgstr "Предыдущая страница"
-
-msgid "Download this page"
-msgstr "Загрузите эту страницу"
-
-msgid "Theme by the"
-msgstr "Тема от"
diff --git a/docs/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po
index e44878b50..25517aa5a 100644
--- a/docs/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: sk\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Stiahnite si zdrojový súbor"
+
 msgid "suggest edit"
 msgstr "navrhnúť úpravu"
 
-msgid "Last updated on"
-msgstr "Posledná aktualizácia dňa"
-
-msgid "Edit this page"
-msgstr "Upraviť túto stránku"
-
-msgid "Launch"
-msgstr "Spustiť"
-
-msgid "Print to PDF"
-msgstr "Tlač do PDF"
+msgid "Toggle navigation"
+msgstr "Prepnúť navigáciu"
 
 msgid "open issue"
 msgstr "otvorené vydanie"
@@ -29,47 +23,53 @@ msgstr "otvorené vydanie"
 msgid "Download notebook file"
 msgstr "Stiahnite si zošit"
 
-msgid "Toggle navigation"
-msgstr "Prepnúť navigáciu"
+msgid "repository"
+msgstr "Úložisko"
 
-msgid "Source repository"
-msgstr "Zdrojové úložisko"
+msgid "Theme by the"
+msgstr "Téma od"
 
-msgid "By the"
-msgstr "Podľa"
+msgid "Print to PDF"
+msgstr "Tlač do PDF"
 
-msgid "next page"
-msgstr "ďalšia strana"
+msgid "Download this page"
+msgstr "Stiahnite si túto stránku"
 
-msgid "repository"
-msgstr "Úložisko"
+msgid "Copyright"
+msgstr "Autorské práva"
+
+msgid "Last updated on"
+msgstr "Posledná aktualizácia dňa"
+
+msgid "Launch"
+msgstr "Spustiť"
+
+msgid "Open an issue"
+msgstr "Otvorte problém"
+
+msgid "Fullscreen mode"
+msgstr "Režim celej obrazovky"
 
 msgid "Sphinx Book Theme"
 msgstr "Téma knihy Sfinga"
 
-msgid "Download source file"
-msgstr "Stiahnite si zdrojový súbor"
-
 msgid "Contents"
 msgstr "Obsah"
 
-msgid "By"
-msgstr "Autor:"
+msgid "Edit this page"
+msgstr "Upraviť túto stránku"
 
-msgid "Copyright"
-msgstr "Autorské práva"
+msgid "next page"
+msgstr "ďalšia strana"
 
-msgid "Fullscreen mode"
-msgstr "Režim celej obrazovky"
+msgid "Source repository"
+msgstr "Zdrojové úložisko"
 
-msgid "Open an issue"
-msgstr "Otvorte problém"
+msgid "By"
+msgstr "Autor:"
+
+msgid "By the"
+msgstr "Podľa"
 
 msgid "previous page"
 msgstr "predchádzajúca strana"
-
-msgid "Download this page"
-msgstr "Stiahnite si túto stránku"
-
-msgid "Theme by the"
-msgstr "Téma od"
diff --git a/docs/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po
index 228939bcd..346c36484 100644
--- a/docs/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: sl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Prenesite izvorno datoteko"
+
 msgid "suggest edit"
 msgstr "predlagajte urejanje"
 
-msgid "Last updated on"
-msgstr "Nazadnje posodobljeno dne"
-
-msgid "Edit this page"
-msgstr "Uredite to stran"
-
-msgid "Launch"
-msgstr "Kosilo"
-
-msgid "Print to PDF"
-msgstr "Natisni v PDF"
+msgid "Toggle navigation"
+msgstr "Preklopi navigacijo"
 
 msgid "open issue"
 msgstr "odprto vprašanje"
@@ -29,47 +23,53 @@ msgstr "odprto vprašanje"
 msgid "Download notebook file"
 msgstr "Prenesite datoteko zvezka"
 
-msgid "Toggle navigation"
-msgstr "Preklopi navigacijo"
+msgid "repository"
+msgstr "odlagališče"
 
-msgid "Source repository"
-msgstr "Izvorno skladišče"
+msgid "Theme by the"
+msgstr "Tema avtorja"
 
-msgid "By the"
-msgstr "Avtor"
+msgid "Print to PDF"
+msgstr "Natisni v PDF"
 
-msgid "next page"
-msgstr "Naslednja stran"
+msgid "Download this page"
+msgstr "Prenesite to stran"
 
-msgid "repository"
-msgstr "odlagališče"
+msgid "Copyright"
+msgstr "avtorske pravice"
+
+msgid "Last updated on"
+msgstr "Nazadnje posodobljeno dne"
+
+msgid "Launch"
+msgstr "Kosilo"
+
+msgid "Open an issue"
+msgstr "Odprite številko"
+
+msgid "Fullscreen mode"
+msgstr "Celozaslonski način"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema knjige Sphinx"
 
-msgid "Download source file"
-msgstr "Prenesite izvorno datoteko"
-
 msgid "Contents"
 msgstr "Vsebina"
 
-msgid "By"
-msgstr "Avtor"
+msgid "Edit this page"
+msgstr "Uredite to stran"
 
-msgid "Copyright"
-msgstr "avtorske pravice"
+msgid "next page"
+msgstr "Naslednja stran"
 
-msgid "Fullscreen mode"
-msgstr "Celozaslonski način"
+msgid "Source repository"
+msgstr "Izvorno skladišče"
 
-msgid "Open an issue"
-msgstr "Odprite številko"
+msgid "By"
+msgstr "Avtor"
+
+msgid "By the"
+msgstr "Avtor"
 
 msgid "previous page"
 msgstr "Prejšnja stran"
-
-msgid "Download this page"
-msgstr "Prenesite to stran"
-
-msgid "Theme by the"
-msgstr "Tema avtorja"
diff --git a/docs/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po
index 1a712a18d..b1a97adac 100644
--- a/docs/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: sr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Преузми изворну датотеку"
+
 msgid "suggest edit"
 msgstr "предложи уређивање"
 
-msgid "Last updated on"
-msgstr "Последње ажурирање"
-
-msgid "Edit this page"
-msgstr "Уредите ову страницу"
-
-msgid "Launch"
-msgstr "Лансирање"
-
-msgid "Print to PDF"
-msgstr "Испис у ПДФ"
+msgid "Toggle navigation"
+msgstr "Укључи / искључи навигацију"
 
 msgid "open issue"
 msgstr "отворено издање"
@@ -29,47 +23,53 @@ msgstr "отворено издање"
 msgid "Download notebook file"
 msgstr "Преузмите датотеку бележнице"
 
-msgid "Toggle navigation"
-msgstr "Укључи / искључи навигацију"
+msgid "repository"
+msgstr "спремиште"
 
-msgid "Source repository"
-msgstr "Изворно спремиште"
+msgid "Theme by the"
+msgstr "Тхеме би"
 
-msgid "By the"
-msgstr "Од"
+msgid "Print to PDF"
+msgstr "Испис у ПДФ"
 
-msgid "next page"
-msgstr "Следећа страна"
+msgid "Download this page"
+msgstr "Преузмите ову страницу"
 
-msgid "repository"
-msgstr "спремиште"
+msgid "Copyright"
+msgstr "Ауторско право"
+
+msgid "Last updated on"
+msgstr "Последње ажурирање"
+
+msgid "Launch"
+msgstr "Лансирање"
+
+msgid "Open an issue"
+msgstr "Отворите издање"
+
+msgid "Fullscreen mode"
+msgstr "Режим целог екрана"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема књиге Спхинк"
 
-msgid "Download source file"
-msgstr "Преузми изворну датотеку"
-
 msgid "Contents"
 msgstr "Садржај"
 
-msgid "By"
-msgstr "Од стране"
+msgid "Edit this page"
+msgstr "Уредите ову страницу"
 
-msgid "Copyright"
-msgstr "Ауторско право"
+msgid "next page"
+msgstr "Следећа страна"
 
-msgid "Fullscreen mode"
-msgstr "Режим целог екрана"
+msgid "Source repository"
+msgstr "Изворно спремиште"
 
-msgid "Open an issue"
-msgstr "Отворите издање"
+msgid "By"
+msgstr "Од стране"
+
+msgid "By the"
+msgstr "Од"
 
 msgid "previous page"
 msgstr "Претходна страница"
-
-msgid "Download this page"
-msgstr "Преузмите ову страницу"
-
-msgid "Theme by the"
-msgstr "Тхеме би"
diff --git a/docs/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.mo b/docs/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.mo
index be951bec201ccd86d534499749af1df8938a14e3..b07dc76ff21128244172d2e415cc899555d8b49d 100644
GIT binary patch
delta 400
zcmZ9`yGjE=6b9gvxGF{sDtIXe#7+eZ(KaCnqD3V502^kK44KRfvy(+^tnC5;eSvH*
z2tI&=k06NHTZwkI{+rln^>J=L=c)8u8oXT<iRfdBXa;`4Irt41U?Cz}gJrk^x8Mdm
zgzNAOE<p)b;U&y-1~A{dh0E~ncm4>=s9)eLe2-{%yzq&}JQ{`RNzfw94>w`{$Ue*;
zsNP=}c=4c;QYB?vXgbzfbV8;Som<;6Y2w1jdpeCdkC_&ZY2!uHnC?zXs^NB|>fy#(
z9n%CRG_%e$mFT(HTH`!5x=yC7@0piMv3l)@PQpm3uHlIj)+Ev!C;L5W*pAc}tU7#+
k_G&u*AJYmCPP9WNG#4z9Jf=U_<8h)w#==N*Cv}^C0AtK%FaQ7m

delta 365
zcmX}lJxc>Y5C-5eo(7|66hDF>Y++%eXltXDAfyun%RP5;w`AR%duOl{?CgXCv9$1N
zi-3P%$sZ8xEVQ(+vk+{2?-XI#2WH-xd2S3F*Dn|2MD#IAgh!wFCg2yGg0+BX1<t@Z
zxDH!z7cRjg*o3EW0bas7yoF`{4$i^>EcXrJG<<?(?k%8=D)5fNBnsbuf%@3*;36!8
zYj7TJ4z5O2ZD-Fvx=_=hR<v&|$G$Lz&XOeV^;75Xvy9qODJd*FA#KLTU8`-BhP`e_
z8@BmsV3ym`rtBp7n<TMPaF&V0^+LlZ`9siZc5tFE9UUaGw&x<uUxTe}{?Aa^=g1dq
Y6^m3WSyjr3s*@UD2**lC>~NZX05KL?761SM

diff --git a/docs/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.po
index 7d2b56d94..8fc0146e6 100644
--- a/docs/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: sv\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Ladda ner källfil"
+
 msgid "suggest edit"
-msgstr "föreslå redigering"
+msgstr "föreslå ändring"
 
-msgid "Last updated on"
-msgstr "Senast uppdaterad den"
+msgid "Toggle navigation"
+msgstr "Växla navigering"
 
-msgid "Edit this page"
-msgstr "Redigera den här sidan"
+msgid "open issue"
+msgstr "öppna problemrapport"
 
-msgid "Launch"
-msgstr "Lansera"
+msgid "Download notebook file"
+msgstr "Ladda ner notebook-fil"
+
+msgid "repository"
+msgstr "repositorium"
+
+msgid "Theme by the"
+msgstr "Tema av"
 
 msgid "Print to PDF"
 msgstr "Skriv ut till PDF"
 
-msgid "open issue"
-msgstr "öppet problem"
-
-msgid "Download notebook file"
-msgstr "Ladda ner anteckningsbokfilen"
+msgid "Download this page"
+msgstr "Ladda ner den här sidan"
 
-msgid "Toggle navigation"
-msgstr "Växla navigering"
+msgid "Copyright"
+msgstr "Upphovsrätt"
 
-msgid "Source repository"
-msgstr "Källförvar"
+msgid "Last updated on"
+msgstr "Senast uppdaterad den"
 
-msgid "By the"
-msgstr "Vid"
+msgid "Launch"
+msgstr "Öppna"
 
-msgid "next page"
-msgstr "nästa sida"
+msgid "Open an issue"
+msgstr "Öppna en problemrapport"
 
-msgid "repository"
-msgstr "förvar"
+msgid "Fullscreen mode"
+msgstr "Fullskärmsläge"
 
 msgid "Sphinx Book Theme"
-msgstr "Sphinx boktema"
-
-msgid "Download source file"
-msgstr "Ladda ner källfil"
+msgstr "Sphinx Boktema"
 
 msgid "Contents"
 msgstr "Innehåll"
 
-msgid "By"
-msgstr "Förbi"
+msgid "Edit this page"
+msgstr "Redigera den här sidan"
 
-msgid "Copyright"
-msgstr "upphovsrätt"
+msgid "next page"
+msgstr "nästa sida"
 
-msgid "Fullscreen mode"
-msgstr "Fullskärmsläge"
+msgid "Source repository"
+msgstr "Källkodsrepositorium"
 
-msgid "Open an issue"
-msgstr "Öppna ett problem"
+msgid "By"
+msgstr "Av"
+
+msgid "By the"
+msgstr "Av den"
 
 msgid "previous page"
 msgstr "föregående sida"
-
-msgid "Download this page"
-msgstr "Ladda ner den här sidan"
-
-msgid "Theme by the"
-msgstr "Tema av"
diff --git a/docs/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po
index c75ffe192..116d74331 100644
--- a/docs/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ta\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "மூல கோப்பைப் பதிவிறக்குக"
+
 msgid "suggest edit"
 msgstr "திருத்த பரிந்துரைக்கவும்"
 
-msgid "Last updated on"
-msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
-
-msgid "Edit this page"
-msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
-
-msgid "Launch"
-msgstr "தொடங்க"
-
-msgid "Print to PDF"
-msgstr "PDF இல் அச்சிடுக"
+msgid "Toggle navigation"
+msgstr "வழிசெலுத்தலை நிலைமாற்று"
 
 msgid "open issue"
 msgstr "திறந்த பிரச்சினை"
@@ -29,38 +23,44 @@ msgstr "திறந்த பிரச்சினை"
 msgid "Download notebook file"
 msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்"
 
-msgid "Toggle navigation"
-msgstr "வழிசெலுத்தலை நிலைமாற்று"
+msgid "Theme by the"
+msgstr "வழங்கிய தீம்"
 
-msgid "Source repository"
-msgstr "மூல களஞ்சியம்"
+msgid "Print to PDF"
+msgstr "PDF இல் அச்சிடுக"
 
-msgid "By the"
-msgstr "மூலம்"
+msgid "Download this page"
+msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
 
-msgid "next page"
-msgstr "அடுத்த பக்கம்"
+msgid "Copyright"
+msgstr "பதிப்புரிமை"
+
+msgid "Last updated on"
+msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
+
+msgid "Launch"
+msgstr "தொடங்க"
+
+msgid "Open an issue"
+msgstr "சிக்கலைத் திறக்கவும்"
 
 msgid "Sphinx Book Theme"
 msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்"
 
-msgid "Download source file"
-msgstr "மூல கோப்பைப் பதிவிறக்குக"
+msgid "Edit this page"
+msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
+
+msgid "next page"
+msgstr "அடுத்த பக்கம்"
+
+msgid "Source repository"
+msgstr "மூல களஞ்சியம்"
 
 msgid "By"
 msgstr "வழங்கியவர்"
 
-msgid "Copyright"
-msgstr "பதிப்புரிமை"
-
-msgid "Open an issue"
-msgstr "சிக்கலைத் திறக்கவும்"
+msgid "By the"
+msgstr "மூலம்"
 
 msgid "previous page"
 msgstr "முந்தைய பக்கம்"
-
-msgid "Download this page"
-msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
-
-msgid "Theme by the"
-msgstr "வழங்கிய தீம்"
diff --git a/docs/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po
index 2595c0359..635bdf962 100644
--- a/docs/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: te\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
+
 msgid "suggest edit"
 msgstr "సవరించమని సూచించండి"
 
-msgid "Last updated on"
-msgstr "చివరిగా నవీకరించబడింది"
-
-msgid "Edit this page"
-msgstr "ఈ పేజీని సవరించండి"
-
-msgid "Launch"
-msgstr "ప్రారంభించండి"
-
-msgid "Print to PDF"
-msgstr "PDF కి ముద్రించండి"
+msgid "Toggle navigation"
+msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
 
 msgid "open issue"
 msgstr "ఓపెన్ ఇష్యూ"
@@ -29,38 +23,44 @@ msgstr "ఓపెన్ ఇష్యూ"
 msgid "Download notebook file"
 msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి"
 
-msgid "Toggle navigation"
-msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
+msgid "Theme by the"
+msgstr "ద్వారా థీమ్"
 
-msgid "Source repository"
-msgstr "మూల రిపోజిటరీ"
+msgid "Print to PDF"
+msgstr "PDF కి ముద్రించండి"
 
-msgid "By the"
-msgstr "ద్వారా"
+msgid "Download this page"
+msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
 
-msgid "next page"
-msgstr "తరువాతి పేజీ"
+msgid "Copyright"
+msgstr "కాపీరైట్"
+
+msgid "Last updated on"
+msgstr "చివరిగా నవీకరించబడింది"
+
+msgid "Launch"
+msgstr "ప్రారంభించండి"
+
+msgid "Open an issue"
+msgstr "సమస్యను తెరవండి"
 
 msgid "Sphinx Book Theme"
 msgstr "సింహిక పుస్తక థీమ్"
 
-msgid "Download source file"
-msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
+msgid "Edit this page"
+msgstr "ఈ పేజీని సవరించండి"
+
+msgid "next page"
+msgstr "తరువాతి పేజీ"
+
+msgid "Source repository"
+msgstr "మూల రిపోజిటరీ"
 
 msgid "By"
 msgstr "ద్వారా"
 
-msgid "Copyright"
-msgstr "కాపీరైట్"
-
-msgid "Open an issue"
-msgstr "సమస్యను తెరవండి"
+msgid "By the"
+msgstr "ద్వారా"
 
 msgid "previous page"
 msgstr "ముందు పేజి"
-
-msgid "Download this page"
-msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
-
-msgid "Theme by the"
-msgstr "ద్వారా థీమ్"
diff --git a/docs/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po
index 73cd30ea9..a92c069a4 100644
--- a/docs/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: tg\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Файли манбаъро зеркашӣ кунед"
+
 msgid "suggest edit"
 msgstr "пешниҳод вироиш"
 
-msgid "Last updated on"
-msgstr "Last навсозӣ дар"
-
-msgid "Edit this page"
-msgstr "Ин саҳифаро таҳрир кунед"
-
-msgid "Launch"
-msgstr "Оғоз"
-
-msgid "Print to PDF"
-msgstr "Чоп ба PDF"
+msgid "Toggle navigation"
+msgstr "Гузаришро иваз кунед"
 
 msgid "open issue"
 msgstr "барориши кушод"
@@ -29,47 +23,53 @@ msgstr "барориши кушод"
 msgid "Download notebook file"
 msgstr "Файли дафтарро зеркашӣ кунед"
 
-msgid "Toggle navigation"
-msgstr "Гузаришро иваз кунед"
+msgid "repository"
+msgstr "анбор"
 
-msgid "Source repository"
-msgstr "Анбори манбаъ"
+msgid "Theme by the"
+msgstr "Мавзӯъи аз"
 
-msgid "By the"
-msgstr "Бо"
+msgid "Print to PDF"
+msgstr "Чоп ба PDF"
 
-msgid "next page"
-msgstr "саҳифаи оянда"
+msgid "Download this page"
+msgstr "Ин саҳифаро зеркашӣ кунед"
 
-msgid "repository"
-msgstr "анбор"
+msgid "Copyright"
+msgstr "Ҳуқуқи муаллиф"
+
+msgid "Last updated on"
+msgstr "Last навсозӣ дар"
+
+msgid "Launch"
+msgstr "Оғоз"
+
+msgid "Open an issue"
+msgstr "Масъаларо кушоед"
+
+msgid "Fullscreen mode"
+msgstr "Ҳолати экрани пурра"
 
 msgid "Sphinx Book Theme"
 msgstr "Сфинкс Мавзӯи китоб"
 
-msgid "Download source file"
-msgstr "Файли манбаъро зеркашӣ кунед"
-
 msgid "Contents"
 msgstr "Мундариҷа"
 
-msgid "By"
-msgstr "Бо"
+msgid "Edit this page"
+msgstr "Ин саҳифаро таҳрир кунед"
 
-msgid "Copyright"
-msgstr "Ҳуқуқи муаллиф"
+msgid "next page"
+msgstr "саҳифаи оянда"
 
-msgid "Fullscreen mode"
-msgstr "Ҳолати экрани пурра"
+msgid "Source repository"
+msgstr "Анбори манбаъ"
 
-msgid "Open an issue"
-msgstr "Масъаларо кушоед"
+msgid "By"
+msgstr "Бо"
+
+msgid "By the"
+msgstr "Бо"
 
 msgid "previous page"
 msgstr "саҳифаи қаблӣ"
-
-msgid "Download this page"
-msgstr "Ин саҳифаро зеркашӣ кунед"
-
-msgid "Theme by the"
-msgstr "Мавзӯъи аз"
diff --git a/docs/_build/html/_static/locales/th/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/th/LC_MESSAGES/booktheme.po
index 0392b4ad3..25d9837f8 100644
--- a/docs/_build/html/_static/locales/th/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/th/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: th\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
+
 msgid "suggest edit"
 msgstr "แนะนำแก้ไข"
 
-msgid "Last updated on"
-msgstr "ปรับปรุงล่าสุดเมื่อ"
-
-msgid "Edit this page"
-msgstr "แก้ไขหน้านี้"
-
-msgid "Launch"
-msgstr "เปิด"
-
-msgid "Print to PDF"
-msgstr "พิมพ์เป็น PDF"
+msgid "Toggle navigation"
+msgstr "ไม่ต้องสลับช่องทาง"
 
 msgid "open issue"
 msgstr "เปิดปัญหา"
@@ -29,47 +23,53 @@ msgstr "เปิดปัญหา"
 msgid "Download notebook file"
 msgstr "ดาวน์โหลดไฟล์สมุดบันทึก"
 
-msgid "Toggle navigation"
-msgstr "ไม่ต้องสลับช่องทาง"
+msgid "repository"
+msgstr "ที่เก็บ"
 
-msgid "Source repository"
-msgstr "ที่เก็บซอร์ส"
+msgid "Theme by the"
+msgstr "ธีมโดย"
 
-msgid "By the"
-msgstr "โดย"
+msgid "Print to PDF"
+msgstr "พิมพ์เป็น PDF"
 
-msgid "next page"
-msgstr "หน้าต่อไป"
+msgid "Download this page"
+msgstr "ดาวน์โหลดหน้านี้"
 
-msgid "repository"
-msgstr "ที่เก็บ"
+msgid "Copyright"
+msgstr "ลิขสิทธิ์"
+
+msgid "Last updated on"
+msgstr "ปรับปรุงล่าสุดเมื่อ"
+
+msgid "Launch"
+msgstr "เปิด"
+
+msgid "Open an issue"
+msgstr "เปิดปัญหา"
+
+msgid "Fullscreen mode"
+msgstr "โหมดเต็มหน้าจอ"
 
 msgid "Sphinx Book Theme"
 msgstr "ธีมหนังสือสฟิงซ์"
 
-msgid "Download source file"
-msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
-
 msgid "Contents"
 msgstr "สารบัญ"
 
-msgid "By"
-msgstr "โดย"
+msgid "Edit this page"
+msgstr "แก้ไขหน้านี้"
 
-msgid "Copyright"
-msgstr "ลิขสิทธิ์"
+msgid "next page"
+msgstr "หน้าต่อไป"
 
-msgid "Fullscreen mode"
-msgstr "โหมดเต็มหน้าจอ"
+msgid "Source repository"
+msgstr "ที่เก็บซอร์ส"
 
-msgid "Open an issue"
-msgstr "เปิดปัญหา"
+msgid "By"
+msgstr "โดย"
+
+msgid "By the"
+msgstr "โดย"
 
 msgid "previous page"
 msgstr "หน้าที่แล้ว"
-
-msgid "Download this page"
-msgstr "ดาวน์โหลดหน้านี้"
-
-msgid "Theme by the"
-msgstr "ธีมโดย"
diff --git a/docs/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.po
index c8375b543..7e28b05fa 100644
--- a/docs/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: tl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Mag-download ng file ng pinagmulan"
+
 msgid "suggest edit"
 msgstr "iminumungkahi i-edit"
 
-msgid "Last updated on"
-msgstr "Huling na-update noong"
-
-msgid "Edit this page"
-msgstr "I-edit ang pahinang ito"
-
-msgid "Launch"
-msgstr "Ilunsad"
-
-msgid "Print to PDF"
-msgstr "I-print sa PDF"
+msgid "Toggle navigation"
+msgstr "I-toggle ang pag-navigate"
 
 msgid "open issue"
 msgstr "bukas na isyu"
@@ -29,38 +23,44 @@ msgstr "bukas na isyu"
 msgid "Download notebook file"
 msgstr "Mag-download ng file ng notebook"
 
-msgid "Toggle navigation"
-msgstr "I-toggle ang pag-navigate"
+msgid "Theme by the"
+msgstr "Tema ng"
 
-msgid "Source repository"
-msgstr "Pinagmulan ng imbakan"
+msgid "Print to PDF"
+msgstr "I-print sa PDF"
 
-msgid "By the"
-msgstr "Sa pamamagitan ng"
+msgid "Download this page"
+msgstr "I-download ang pahinang ito"
 
-msgid "next page"
-msgstr "Susunod na pahina"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Last updated on"
+msgstr "Huling na-update noong"
+
+msgid "Launch"
+msgstr "Ilunsad"
+
+msgid "Open an issue"
+msgstr "Magbukas ng isyu"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema ng Sphinx Book"
 
-msgid "Download source file"
-msgstr "Mag-download ng file ng pinagmulan"
+msgid "Edit this page"
+msgstr "I-edit ang pahinang ito"
+
+msgid "next page"
+msgstr "Susunod na pahina"
+
+msgid "Source repository"
+msgstr "Pinagmulan ng imbakan"
 
 msgid "By"
 msgstr "Ni"
 
-msgid "Copyright"
-msgstr "Copyright"
-
-msgid "Open an issue"
-msgstr "Magbukas ng isyu"
+msgid "By the"
+msgstr "Sa pamamagitan ng"
 
 msgid "previous page"
 msgstr "Nakaraang pahina"
-
-msgid "Download this page"
-msgstr "I-download ang pahinang ito"
-
-msgid "Theme by the"
-msgstr "Tema ng"
diff --git a/docs/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.po
index 47d7bdf7f..54d6f5836 100644
--- a/docs/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: tr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Kaynak dosyayı indirin"
+
 msgid "suggest edit"
 msgstr "düzenleme öner"
 
-msgid "Last updated on"
-msgstr "Son güncelleme tarihi"
-
-msgid "Edit this page"
-msgstr "Bu sayfayı düzenle"
-
-msgid "Launch"
-msgstr "Başlatmak"
-
-msgid "Print to PDF"
-msgstr "PDF olarak yazdır"
+msgid "Toggle navigation"
+msgstr "Gezinmeyi değiştir"
 
 msgid "open issue"
 msgstr "Açık konu"
@@ -29,47 +23,53 @@ msgstr "Açık konu"
 msgid "Download notebook file"
 msgstr "Defter dosyasını indirin"
 
-msgid "Toggle navigation"
-msgstr "Gezinmeyi değiştir"
+msgid "repository"
+msgstr "depo"
 
-msgid "Source repository"
-msgstr "Kaynak kod deposu"
+msgid "Theme by the"
+msgstr "Tarafından tema"
 
-msgid "By the"
-msgstr "Tarafından"
+msgid "Print to PDF"
+msgstr "PDF olarak yazdır"
 
-msgid "next page"
-msgstr "sonraki Sayfa"
+msgid "Download this page"
+msgstr "Bu sayfayı indirin"
 
-msgid "repository"
-msgstr "depo"
+msgid "Copyright"
+msgstr "Telif hakkı"
+
+msgid "Last updated on"
+msgstr "Son güncelleme tarihi"
+
+msgid "Launch"
+msgstr "Başlatmak"
+
+msgid "Open an issue"
+msgstr "Bir sorunu açın"
+
+msgid "Fullscreen mode"
+msgstr "Tam ekran modu"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfenks Kitap Teması"
 
-msgid "Download source file"
-msgstr "Kaynak dosyayı indirin"
-
 msgid "Contents"
 msgstr "İçindekiler"
 
-msgid "By"
-msgstr "Tarafından"
+msgid "Edit this page"
+msgstr "Bu sayfayı düzenle"
 
-msgid "Copyright"
-msgstr "Telif hakkı"
+msgid "next page"
+msgstr "sonraki Sayfa"
 
-msgid "Fullscreen mode"
-msgstr "Tam ekran modu"
+msgid "Source repository"
+msgstr "Kaynak kod deposu"
 
-msgid "Open an issue"
-msgstr "Bir sorunu açın"
+msgid "By"
+msgstr "Tarafından"
+
+msgid "By the"
+msgstr "Tarafından"
 
 msgid "previous page"
 msgstr "önceki sayfa"
-
-msgid "Download this page"
-msgstr "Bu sayfayı indirin"
-
-msgid "Theme by the"
-msgstr "Tarafından tema"
diff --git a/docs/_build/html/_static/locales/uk/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/uk/LC_MESSAGES/booktheme.po
index e85f6f16a..6ecaec679 100644
--- a/docs/_build/html/_static/locales/uk/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/uk/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: uk\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Завантажити вихідний файл"
+
 msgid "suggest edit"
 msgstr "запропонувати редагувати"
 
-msgid "Last updated on"
-msgstr "Останнє оновлення:"
-
-msgid "Edit this page"
-msgstr "Редагувати цю сторінку"
-
-msgid "Launch"
-msgstr "Запуск"
-
-msgid "Print to PDF"
-msgstr "Друк у форматі PDF"
+msgid "Toggle navigation"
+msgstr "Переключити навігацію"
 
 msgid "open issue"
 msgstr "відкритий випуск"
@@ -29,47 +23,53 @@ msgstr "відкритий випуск"
 msgid "Download notebook file"
 msgstr "Завантажте файл блокнота"
 
-msgid "Toggle navigation"
-msgstr "Переключити навігацію"
+msgid "repository"
+msgstr "сховище"
 
-msgid "Source repository"
-msgstr "Джерело сховища"
+msgid "Theme by the"
+msgstr "Тема від"
 
-msgid "By the"
-msgstr "По"
+msgid "Print to PDF"
+msgstr "Друк у форматі PDF"
 
-msgid "next page"
-msgstr "Наступна сторінка"
+msgid "Download this page"
+msgstr "Завантажте цю сторінку"
 
-msgid "repository"
-msgstr "сховище"
+msgid "Copyright"
+msgstr "Авторське право"
+
+msgid "Last updated on"
+msgstr "Останнє оновлення:"
+
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Open an issue"
+msgstr "Відкрийте випуск"
+
+msgid "Fullscreen mode"
+msgstr "Повноекранний режим"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема книги \"Сфінкс\""
 
-msgid "Download source file"
-msgstr "Завантажити вихідний файл"
-
 msgid "Contents"
 msgstr "Зміст"
 
-msgid "By"
-msgstr "Автор"
+msgid "Edit this page"
+msgstr "Редагувати цю сторінку"
 
-msgid "Copyright"
-msgstr "Авторське право"
+msgid "next page"
+msgstr "Наступна сторінка"
 
-msgid "Fullscreen mode"
-msgstr "Повноекранний режим"
+msgid "Source repository"
+msgstr "Джерело сховища"
 
-msgid "Open an issue"
-msgstr "Відкрийте випуск"
+msgid "By"
+msgstr "Автор"
+
+msgid "By the"
+msgstr "По"
 
 msgid "previous page"
 msgstr "Попередня сторінка"
-
-msgid "Download this page"
-msgstr "Завантажте цю сторінку"
-
-msgid "Theme by the"
-msgstr "Тема від"
diff --git a/docs/_build/html/_static/locales/ur/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/ur/LC_MESSAGES/booktheme.po
index 0f90726c1..818e03de7 100644
--- a/docs/_build/html/_static/locales/ur/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/ur/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: ur\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "سورس فائل ڈاؤن لوڈ کریں"
+
 msgid "suggest edit"
 msgstr "ترمیم کی تجویز کریں"
 
-msgid "Last updated on"
-msgstr "آخری بار تازہ کاری ہوئی"
-
-msgid "Edit this page"
-msgstr "اس صفحے میں ترمیم کریں"
-
-msgid "Launch"
-msgstr "لانچ کریں"
-
-msgid "Print to PDF"
-msgstr "پی ڈی ایف پرنٹ کریں"
+msgid "Toggle navigation"
+msgstr "نیویگیشن ٹوگل کریں"
 
 msgid "open issue"
 msgstr "کھلا مسئلہ"
@@ -29,38 +23,44 @@ msgstr "کھلا مسئلہ"
 msgid "Download notebook file"
 msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں"
 
-msgid "Toggle navigation"
-msgstr "نیویگیشن ٹوگل کریں"
+msgid "Theme by the"
+msgstr "کے ذریعہ تھیم"
 
-msgid "Source repository"
-msgstr "ماخذ ذخیرہ"
+msgid "Print to PDF"
+msgstr "پی ڈی ایف پرنٹ کریں"
 
-msgid "By the"
-msgstr "کی طرف"
+msgid "Download this page"
+msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
 
-msgid "next page"
-msgstr "اگلا صفحہ"
+msgid "Copyright"
+msgstr "کاپی رائٹ"
+
+msgid "Last updated on"
+msgstr "آخری بار تازہ کاری ہوئی"
+
+msgid "Launch"
+msgstr "لانچ کریں"
+
+msgid "Open an issue"
+msgstr "ایک مسئلہ کھولیں"
 
 msgid "Sphinx Book Theme"
 msgstr "سپنکس بک تھیم"
 
-msgid "Download source file"
-msgstr "سورس فائل ڈاؤن لوڈ کریں"
+msgid "Edit this page"
+msgstr "اس صفحے میں ترمیم کریں"
+
+msgid "next page"
+msgstr "اگلا صفحہ"
+
+msgid "Source repository"
+msgstr "ماخذ ذخیرہ"
 
 msgid "By"
 msgstr "بذریعہ"
 
-msgid "Copyright"
-msgstr "کاپی رائٹ"
-
-msgid "Open an issue"
-msgstr "ایک مسئلہ کھولیں"
+msgid "By the"
+msgstr "کی طرف"
 
 msgid "previous page"
 msgstr "سابقہ ​​صفحہ"
-
-msgid "Download this page"
-msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
-
-msgid "Theme by the"
-msgstr "کے ذریعہ تھیم"
diff --git a/docs/_build/html/_static/locales/vi/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/vi/LC_MESSAGES/booktheme.po
index 2cb5cf3b8..59db26698 100644
--- a/docs/_build/html/_static/locales/vi/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/vi/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: vi\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "Tải xuống tệp nguồn"
+
 msgid "suggest edit"
 msgstr "đề nghị chỉnh sửa"
 
-msgid "Last updated on"
-msgstr "Cập nhật lần cuối vào"
-
-msgid "Edit this page"
-msgstr "chỉnh sửa trang này"
-
-msgid "Launch"
-msgstr "Phóng"
-
-msgid "Print to PDF"
-msgstr "In sang PDF"
+msgid "Toggle navigation"
+msgstr "Chuyển đổi điều hướng thành"
 
 msgid "open issue"
 msgstr "vấn đề mở"
@@ -29,47 +23,53 @@ msgstr "vấn đề mở"
 msgid "Download notebook file"
 msgstr "Tải xuống tệp sổ tay"
 
-msgid "Toggle navigation"
-msgstr "Chuyển đổi điều hướng thành"
+msgid "repository"
+msgstr "kho"
 
-msgid "Source repository"
-msgstr "Kho nguồn"
+msgid "Theme by the"
+msgstr "Chủ đề của"
 
-msgid "By the"
-msgstr "Bằng"
+msgid "Print to PDF"
+msgstr "In sang PDF"
 
-msgid "next page"
-msgstr "Trang tiếp theo"
+msgid "Download this page"
+msgstr "Tải xuống trang này"
 
-msgid "repository"
-msgstr "kho"
+msgid "Copyright"
+msgstr "Bản quyền"
+
+msgid "Last updated on"
+msgstr "Cập nhật lần cuối vào"
+
+msgid "Launch"
+msgstr "Phóng"
+
+msgid "Open an issue"
+msgstr "Mở một vấn đề"
+
+msgid "Fullscreen mode"
+msgstr "Chế độ toàn màn hình"
 
 msgid "Sphinx Book Theme"
 msgstr "Chủ đề sách nhân sư"
 
-msgid "Download source file"
-msgstr "Tải xuống tệp nguồn"
-
 msgid "Contents"
 msgstr "Nội dung"
 
-msgid "By"
-msgstr "Bởi"
+msgid "Edit this page"
+msgstr "chỉnh sửa trang này"
 
-msgid "Copyright"
-msgstr "Bản quyền"
+msgid "next page"
+msgstr "Trang tiếp theo"
 
-msgid "Fullscreen mode"
-msgstr "Chế độ toàn màn hình"
+msgid "Source repository"
+msgstr "Kho nguồn"
 
-msgid "Open an issue"
-msgstr "Mở một vấn đề"
+msgid "By"
+msgstr "Bởi"
+
+msgid "By the"
+msgstr "Bằng"
 
 msgid "previous page"
 msgstr "trang trước"
-
-msgid "Download this page"
-msgstr "Tải xuống trang này"
-
-msgid "Theme by the"
-msgstr "Chủ đề của"
diff --git a/docs/_build/html/_static/locales/zh_CN/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
index f91f3ba0a..e8d12dd74 100644
--- a/docs/_build/html/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: zh_CN\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "下载源文件"
+
 msgid "suggest edit"
 msgstr "提出修改建议"
 
-msgid "Last updated on"
-msgstr "上次更新时间："
-
-msgid "Edit this page"
-msgstr "编辑此页面"
-
-msgid "Launch"
-msgstr "启动"
-
-msgid "Print to PDF"
-msgstr "列印成 PDF"
+msgid "Toggle navigation"
+msgstr "显示或隐藏导航栏"
 
 msgid "open issue"
 msgstr "创建议题"
@@ -29,47 +23,53 @@ msgstr "创建议题"
 msgid "Download notebook file"
 msgstr "下载笔记本文件"
 
-msgid "Toggle navigation"
-msgstr "显示或隐藏导航栏"
+msgid "repository"
+msgstr "仓库"
 
-msgid "Source repository"
-msgstr "源码库"
+msgid "Theme by the"
+msgstr "主题作者："
 
-msgid "By the"
-msgstr "作者："
+msgid "Print to PDF"
+msgstr "列印成 PDF"
 
-msgid "next page"
-msgstr "下一页"
+msgid "Download this page"
+msgstr "下载此页面"
 
-msgid "repository"
-msgstr "仓库"
+msgid "Copyright"
+msgstr "版权"
+
+msgid "Last updated on"
+msgstr "上次更新时间："
+
+msgid "Launch"
+msgstr "启动"
+
+msgid "Open an issue"
+msgstr "创建议题"
+
+msgid "Fullscreen mode"
+msgstr "全屏模式"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx Book 主题"
 
-msgid "Download source file"
-msgstr "下载源文件"
-
 msgid "Contents"
 msgstr "目录"
 
-msgid "By"
-msgstr "作者："
+msgid "Edit this page"
+msgstr "编辑此页面"
 
-msgid "Copyright"
-msgstr "版权"
+msgid "next page"
+msgstr "下一页"
 
-msgid "Fullscreen mode"
-msgstr "全屏模式"
+msgid "Source repository"
+msgstr "源码库"
 
-msgid "Open an issue"
-msgstr "创建议题"
+msgid "By"
+msgstr "作者："
+
+msgid "By the"
+msgstr "作者："
 
 msgid "previous page"
 msgstr "上一页"
-
-msgid "Download this page"
-msgstr "下载此页面"
-
-msgid "Theme by the"
-msgstr "主题作者："
diff --git a/docs/_build/html/_static/locales/zh_TW/LC_MESSAGES/booktheme.po b/docs/_build/html/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
index 7833d9043..0ed32f74e 100644
--- a/docs/_build/html/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
+++ b/docs/_build/html/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
@@ -8,20 +8,14 @@ msgstr ""
 "Language: zh_TW\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
+msgid "Download source file"
+msgstr "下載原始檔"
+
 msgid "suggest edit"
 msgstr "提出修改建議"
 
-msgid "Last updated on"
-msgstr "最後更新時間："
-
-msgid "Edit this page"
-msgstr "編輯此頁面"
-
-msgid "Launch"
-msgstr "啟動"
-
-msgid "Print to PDF"
-msgstr "列印成 PDF"
+msgid "Toggle navigation"
+msgstr "顯示或隱藏導覽列"
 
 msgid "open issue"
 msgstr "公開的問題"
@@ -29,47 +23,53 @@ msgstr "公開的問題"
 msgid "Download notebook file"
 msgstr "下載 Notebook 檔案"
 
-msgid "Toggle navigation"
-msgstr "顯示或隱藏導覽列"
+msgid "repository"
+msgstr "儲存庫"
 
-msgid "Source repository"
-msgstr "來源儲存庫"
+msgid "Theme by the"
+msgstr "佈景主題作者："
 
-msgid "By the"
-msgstr "作者："
+msgid "Print to PDF"
+msgstr "列印成 PDF"
 
-msgid "next page"
-msgstr "下一頁"
+msgid "Download this page"
+msgstr "下載此頁面"
 
-msgid "repository"
-msgstr "儲存庫"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Last updated on"
+msgstr "最後更新時間："
+
+msgid "Launch"
+msgstr "啟動"
+
+msgid "Open an issue"
+msgstr "開啟議題"
+
+msgid "Fullscreen mode"
+msgstr "全螢幕模式"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx Book 佈景主題"
 
-msgid "Download source file"
-msgstr "下載原始檔"
-
 msgid "Contents"
 msgstr "目錄"
 
-msgid "By"
-msgstr "作者："
+msgid "Edit this page"
+msgstr "編輯此頁面"
 
-msgid "Copyright"
-msgstr "Copyright"
+msgid "next page"
+msgstr "下一頁"
 
-msgid "Fullscreen mode"
-msgstr "全螢幕模式"
+msgid "Source repository"
+msgstr "來源儲存庫"
 
-msgid "Open an issue"
-msgstr "開啟議題"
+msgid "By"
+msgstr "作者："
+
+msgid "By the"
+msgstr "作者："
 
 msgid "previous page"
 msgstr "上一頁"
-
-msgid "Download this page"
-msgstr "下載此頁面"
-
-msgid "Theme by the"
-msgstr "佈景主題作者："
diff --git a/docs/_build/html/_static/play-solid.svg b/docs/_build/html/_static/play-solid.svg
new file mode 100644
index 000000000..bcd81f7a6
--- /dev/null
+++ b/docs/_build/html/_static/play-solid.svg
@@ -0,0 +1 @@
+<svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="play" class="svg-inline--fa fa-play fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M424.4 214.7L72.4 6.6C43.8-10.3 0 6.1 0 47.9V464c0 37.5 40.7 60.1 72.4 41.3l352-208c31.4-18.5 31.5-64.1 0-82.6z"></path></svg>
\ No newline at end of file
diff --git a/docs/_build/html/_static/scripts/bootstrap.js b/docs/_build/html/_static/scripts/bootstrap.js
index bda8a6027..4e209b0e1 100644
--- a/docs/_build/html/_static/scripts/bootstrap.js
+++ b/docs/_build/html/_static/scripts/bootstrap.js
@@ -1,3 +1,3 @@
 /*! For license information please see bootstrap.js.LICENSE.txt */
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this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=ye.findOne(Ze,this._indicatorsElement);e.classList.remove(Je),e.removeAttribute("aria-current");const i=ye.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(Je),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===He,s=e||Ut(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>ue.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(Re).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),Rt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(Je),i.classList.remove(Je,c,l),this._isSliding=!1,r(qe)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return ye.findOne(ei,this._element)}_getItems(){return ye.find(ti,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Yt()?t===We?Be:He:t===We?He:Be}_orderToDirection(t){return Yt()?t===Be?We:ze:t===Be?ze:We}static jQueryInterface(t){return this.each((function(){const e=oi.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}ue.on(document,Ue,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=ye.getElementFromSelector(this);if(!e||!e.classList.contains(Ge))return;t.preventDefault();const i=oi.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===ge.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),ue.on(window,Xe,(()=>{const t=ye.find('[data-bs-ride="carousel"]');for(const e of t)oi.getOrCreateInstance(e)})),Kt(oi);const ri=".bs.collapse",ai=`show${ri}`,li=`shown${ri}`,ci=`hide${ri}`,hi=`hidden${ri}`,di=`click${ri}.data-api`,ui="show",fi="collapse",pi="collapsing",mi=`:scope .${fi} .${fi}`,gi='[data-bs-toggle="collapse"]',_i={parent:null,toggle:!0},bi={parent:"(null|element)",toggle:"boolean"};class vi extends be{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=ye.find(gi);for(const t of i){const e=ye.getSelectorFromElement(t),i=ye.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return _i}static get DefaultType(){return bi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>vi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(ue.trigger(this._element,ai).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(fi),this._element.classList.add(pi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(pi),this._element.classList.add(fi,ui),this._element.style[e]="",ue.trigger(this._element,li)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(ue.trigger(this._element,ci).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,Rt(this._element),this._element.classList.add(pi),this._element.classList.remove(fi,ui);for(const t of this._triggerArray){const e=ye.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(pi),this._element.classList.add(fi),ue.trigger(this._element,hi)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(ui)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ft(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(gi);for(const e of t){const t=ye.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=ye.find(mi,this._config.parent);return ye.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=vi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}ue.on(document,di,gi,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of ye.getMultipleElementsFromSelector(this))vi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Kt(vi);const yi="dropdown",wi=".bs.dropdown",Ei=".data-api",Ai="ArrowUp",Ti="ArrowDown",Ci=`hide${wi}`,Oi=`hidden${wi}`,xi=`show${wi}`,ki=`shown${wi}`,Li=`click${wi}${Ei}`,Si=`keydown${wi}${Ei}`,Di=`keyup${wi}${Ei}`,$i="show",Ii='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Ni=`${Ii}.${$i}`,Pi=".dropdown-menu",Mi=Yt()?"top-end":"top-start",ji=Yt()?"top-start":"top-end",Fi=Yt()?"bottom-end":"bottom-start",Hi=Yt()?"bottom-start":"bottom-end",Bi=Yt()?"left-start":"right-start",Wi=Yt()?"right-start":"left-start",zi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class qi extends be{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=ye.next(this._element,Pi)[0]||ye.prev(this._element,Pi)[0]||ye.findOne(Pi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return zi}static get DefaultType(){return Ri}static get NAME(){return yi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Bt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!ue.trigger(this._element,xi,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))ue.on(t,"mouseover",zt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add($i),this._element.classList.add($i),ue.trigger(this._element,ki,t)}}hide(){if(Bt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!ue.trigger(this._element,Ci,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.off(t,"mouseover",zt);this._popper&&this._popper.destroy(),this._menu.classList.remove($i),this._element.classList.remove($i),this._element.setAttribute("aria-expanded","false"),ge.removeDataAttribute(this._menu,"popper"),ue.trigger(this._element,Oi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!jt(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${yi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:jt(this._config.reference)?t=Ft(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=St(t,this._menu,i)}_isShown(){return this._menu.classList.contains($i)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Bi;if(t.classList.contains("dropstart"))return Wi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ji:Mi:e?Hi:Fi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(ge.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Qt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=ye.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Ht(t)));i.length&&Ut(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=ye.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ai,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:ye.prev(this,Ii)[0]||ye.next(this,Ii)[0]||ye.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}ue.on(document,Si,Ii,qi.dataApiKeydownHandler),ue.on(document,Si,Pi,qi.dataApiKeydownHandler),ue.on(document,Li,qi.clearMenus),ue.on(document,Di,qi.clearMenus),ue.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),Kt(qi);const Vi="backdrop",Yi="show",Ki=`mousedown.bs.${Vi}`,Qi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Xi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends _e{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Qi}static get DefaultType(){return Xi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void Qt(t);this._append();const e=this._getElement();this._config.isAnimated&&Rt(e),e.classList.add(Yi),this._emulateAnimation((()=>{Qt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Yi),this._emulateAnimation((()=>{this.dispose(),Qt(t)}))):Qt(t)}dispose(){this._isAppended&&(ue.off(this._element,Ki),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ft(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),ue.on(t,Ki,(()=>{Qt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Xt(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends _e{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),ue.off(document,Gi),ue.on(document,Ji,(t=>this._handleFocusin(t))),ue.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,ue.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=ye.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&ge.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=ge.getDataAttribute(t,e);null!==i?(ge.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(jt(t))e(t);else for(const i of ye.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",En="show",An="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends be{constructor(t,e){super(t,e),this._dialog=ye.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||ue.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(ue.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(En),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){ue.off(window,hn),ue.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=ye.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),Rt(this._element),this._element.classList.add(En),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,ue.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){ue.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),ue.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),ue.on(this._element,bn,(t=>{ue.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),ue.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(ue.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(An)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(An),this._queueCallback((()=>{this._element.classList.remove(An),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Yt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Yt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}ue.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=ye.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),ue.one(e,pn,(t=>{t.defaultPrevented||ue.one(e,fn,(()=>{Ht(this)&&this.focus()}))}));const i=ye.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),we(On),Kt(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Bn=`click${xn}${kn}`,Wn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends be{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||ue.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),ue.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(ue.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),ue.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():ue.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){ue.on(this._element,Wn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():ue.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}ue.on(document,Bn,'[data-bs-toggle="offcanvas"]',(function(t){const e=ye.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Bt(this))return;ue.one(e,Fn,(()=>{Ht(this)&&this.focus()}));const i=ye.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),ue.on(window,Ln,(()=>{for(const t of ye.find(In))qn.getOrCreateInstance(t).show()})),ue.on(window,Hn,(()=>{for(const t of ye.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),we(qn),Kt(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Yn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Kn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Qn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Yn.has(i)||Boolean(Kn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Xn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends _e{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Xn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=ye.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?jt(e)?this._putElementInTemplate(Ft(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Qn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Qt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:Yt()?"left":"right",BOTTOM:"bottom",LEFT:Yt()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends be{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),ue.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=ue.trigger(this._element,this.constructor.eventName("show")),e=(Wt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),ue.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.on(t,"mouseover",zt);this._queueCallback((()=>{ue.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!ue.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.off(t,"mouseover",zt);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),ue.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=Qt(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return St(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Qt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Qt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)ue.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ss?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ss?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");ue.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?os:ss]=!0,e._enter()})),ue.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?os:ss]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},ue.on(this._element.closest(is),ns,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=ge.getDataAttributes(this._element);for(const t of Object.keys(e))Zn.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ft(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=cs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Kt(cs);const hs={...cs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},ds={...cs.DefaultType,content:"(null|string|element|function)"};class us extends cs{static get Default(){return hs}static get DefaultType(){return ds}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Kt(us);const fs=".bs.scrollspy",ps=`activate${fs}`,ms=`click${fs}`,gs=`load${fs}.data-api`,_s="active",bs="[href]",vs=".nav-link",ys=`${vs}, .nav-item > ${vs}, .list-group-item`,ws={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},Es={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class As extends be{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return ws}static get DefaultType(){return Es}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ft(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(ue.off(this._config.target,ms),ue.on(this._config.target,ms,bs,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=ye.find(bs,this._config.target);for(const e of t){if(!e.hash||Bt(e))continue;const t=ye.findOne(decodeURI(e.hash),this._element);Ht(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(_s),this._activateParents(t),ue.trigger(this._element,ps,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))ye.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(_s);else for(const e of ye.parents(t,".nav, .list-group"))for(const t of ye.prev(e,ys))t.classList.add(_s)}_clearActiveClass(t){t.classList.remove(_s);const e=ye.find(`${bs}.${_s}`,t);for(const t of e)t.classList.remove(_s)}static jQueryInterface(t){return this.each((function(){const e=As.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}ue.on(window,gs,(()=>{for(const t of ye.find('[data-bs-spy="scroll"]'))As.getOrCreateInstance(t)})),Kt(As);const Ts=".bs.tab",Cs=`hide${Ts}`,Os=`hidden${Ts}`,xs=`show${Ts}`,ks=`shown${Ts}`,Ls=`click${Ts}`,Ss=`keydown${Ts}`,Ds=`load${Ts}`,$s="ArrowLeft",Is="ArrowRight",Ns="ArrowUp",Ps="ArrowDown",Ms="Home",js="End",Fs="active",Hs="fade",Bs="show",Ws=".dropdown-toggle",zs=`:not(${Ws})`,Rs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',qs=`.nav-link${zs}, .list-group-item${zs}, [role="tab"]${zs}, ${Rs}`,Vs=`.${Fs}[data-bs-toggle="tab"], .${Fs}[data-bs-toggle="pill"], .${Fs}[data-bs-toggle="list"]`;class Ys extends be{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),ue.on(this._element,Ss,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?ue.trigger(e,Cs,{relatedTarget:t}):null;ue.trigger(t,xs,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Fs),this._activate(ye.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),ue.trigger(t,ks,{relatedTarget:e})):t.classList.add(Bs)}),t,t.classList.contains(Hs)))}_deactivate(t,e){t&&(t.classList.remove(Fs),t.blur(),this._deactivate(ye.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),ue.trigger(t,Os,{relatedTarget:e})):t.classList.remove(Bs)}),t,t.classList.contains(Hs)))}_keydown(t){if(![$s,Is,Ns,Ps,Ms,js].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!Bt(t)));let i;if([Ms,js].includes(t.key))i=e[t.key===Ms?0:e.length-1];else{const n=[Is,Ps].includes(t.key);i=Ut(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Ys.getOrCreateInstance(i).show())}_getChildren(){return ye.find(qs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const 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e?we.find(e):[]}},Ee=(t,e="hide")=>{const i=`click.dismiss${t.EVENT_KEY}`,n=t.NAME;fe.on(document,i,`[data-bs-dismiss="${n}"]`,(function(i){if(["A","AREA"].includes(this.tagName)&&i.preventDefault(),Wt(this))return;const s=we.getElementFromSelector(this)||this.closest(`.${n}`);t.getOrCreateInstance(s)[e]()}))},Ae=".bs.alert",Te=`close${Ae}`,Ce=`closed${Ae}`;class Oe extends ve{static get NAME(){return"alert"}close(){if(fe.trigger(this._element,Te).defaultPrevented)return;this._element.classList.remove("show");const t=this._element.classList.contains("fade");this._queueCallback((()=>this._destroyElement()),this._element,t)}_destroyElement(){this._element.remove(),fe.trigger(this._element,Ce),this.dispose()}static jQueryInterface(t){return this.each((function(){const e=Oe.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}Ee(Oe,"close"),Qt(Oe);const xe='[data-bs-toggle="button"]';class ke extends ve{static get NAME(){return"button"}toggle(){this._element.setAttribute("aria-pressed",this._element.classList.toggle("active"))}static jQueryInterface(t){return this.each((function(){const e=ke.getOrCreateInstance(this);"toggle"===t&&e[t]()}))}}fe.on(document,"click.bs.button.data-api",xe,(t=>{t.preventDefault();const e=t.target.closest(xe);ke.getOrCreateInstance(e).toggle()})),Qt(ke);const Le=".bs.swipe",Se=`touchstart${Le}`,De=`touchmove${Le}`,$e=`touchend${Le}`,Ie=`pointerdown${Le}`,Ne=`pointerup${Le}`,Pe={endCallback:null,leftCallback:null,rightCallback:null},Me={endCallback:"(function|null)",leftCallback:"(function|null)",rightCallback:"(function|null)"};class je extends be{constructor(t,e){super(),this._element=t,t&&je.isSupported()&&(this._config=this._getConfig(e),this._deltaX=0,this._supportPointerEvents=Boolean(window.PointerEvent),this._initEvents())}static get Default(){return Pe}static get DefaultType(){return Me}static get NAME(){return"swipe"}dispose(){fe.off(this._element,Le)}_start(t){this._supportPointerEvents?this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX):this._deltaX=t.touches[0].clientX}_end(t){this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX-this._deltaX),this._handleSwipe(),Xt(this._config.endCallback)}_move(t){this._deltaX=t.touches&&t.touches.length>1?0:t.touches[0].clientX-this._deltaX}_handleSwipe(){const t=Math.abs(this._deltaX);if(t<=40)return;const e=t/this._deltaX;this._deltaX=0,e&&Xt(e>0?this._config.rightCallback:this._config.leftCallback)}_initEvents(){this._supportPointerEvents?(fe.on(this._element,Ie,(t=>this._start(t))),fe.on(this._element,Ne,(t=>this._end(t))),this._element.classList.add("pointer-event")):(fe.on(this._element,Se,(t=>this._start(t))),fe.on(this._element,De,(t=>this._move(t))),fe.on(this._element,$e,(t=>this._end(t))))}_eventIsPointerPenTouch(t){return this._supportPointerEvents&&("pen"===t.pointerType||"touch"===t.pointerType)}static isSupported(){return"ontouchstart"in document.documentElement||navigator.maxTouchPoints>0}}const Fe=".bs.carousel",He=".data-api",Be="next",We="prev",ze="left",Re="right",qe=`slide${Fe}`,Ve=`slid${Fe}`,Ye=`keydown${Fe}`,Ke=`mouseenter${Fe}`,Qe=`mouseleave${Fe}`,Xe=`dragstart${Fe}`,Ue=`load${Fe}${He}`,Ge=`click${Fe}${He}`,Je="carousel",Ze="active",ti=".active",ei=".carousel-item",ii=ti+ei,ni={ArrowLeft:Re,ArrowRight:ze},si={interval:5e3,keyboard:!0,pause:"hover",ride:!1,touch:!0,wrap:!0},oi={interval:"(number|boolean)",keyboard:"boolean",pause:"(string|boolean)",ride:"(boolean|string)",touch:"boolean",wrap:"boolean"};class ri extends ve{constructor(t,e){super(t,e),this._interval=null,this._activeElement=null,this._isSliding=!1,this.touchTimeout=null,this._swipeHelper=null,this._indicatorsElement=we.findOne(".carousel-indicators",this._element),this._addEventListeners(),this._config.ride===Je&&this.cycle()}static get Default(){return si}static get DefaultType(){return oi}static get NAME(){return"carousel"}next(){this._slide(Be)}nextWhenVisible(){!document.hidden&&Bt(this._element)&&this.next()}prev(){this._slide(We)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?fe.one(this._element,Ve,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void fe.one(this._element,Ve,(()=>this.to(t)));const i=this._getItemIndex(this._getActive());if(i===t)return;const n=t>i?Be:We;this._slide(n,e[t])}dispose(){this._swipeHelper&&this._swipeHelper.dispose(),super.dispose()}_configAfterMerge(t){return t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&fe.on(this._element,Ye,(t=>this._keydown(t))),"hover"===this._config.pause&&(fe.on(this._element,Ke,(()=>this.pause())),fe.on(this._element,Qe,(()=>this._maybeEnableCycle()))),this._config.touch&&je.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of we.find(".carousel-item img",this._element))fe.on(t,Xe,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(ze)),rightCallback:()=>this._slide(this._directionToOrder(Re)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new je(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=ni[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=we.findOne(ti,this._indicatorsElement);e.classList.remove(Ze),e.removeAttribute("aria-current");const i=we.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(Ze),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===Be,s=e||Gt(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>fe.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(qe).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(Ze),i.classList.remove(Ze,c,l),this._isSliding=!1,r(Ve)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return we.findOne(ii,this._element)}_getItems(){return we.find(ei,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===ze?We:Be:t===ze?Be:We}_orderToDirection(t){return Kt()?t===We?ze:Re:t===We?Re:ze}static jQueryInterface(t){return this.each((function(){const e=ri.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}fe.on(document,Ge,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=we.getElementFromSelector(this);if(!e||!e.classList.contains(Je))return;t.preventDefault();const i=ri.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===_e.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),fe.on(window,Ue,(()=>{const t=we.find('[data-bs-ride="carousel"]');for(const e of t)ri.getOrCreateInstance(e)})),Qt(ri);const ai=".bs.collapse",li=`show${ai}`,ci=`shown${ai}`,hi=`hide${ai}`,di=`hidden${ai}`,ui=`click${ai}.data-api`,fi="show",pi="collapse",mi="collapsing",gi=`:scope .${pi} .${pi}`,_i='[data-bs-toggle="collapse"]',bi={parent:null,toggle:!0},vi={parent:"(null|element)",toggle:"boolean"};class yi extends ve{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=we.find(_i);for(const t of i){const e=we.getSelectorFromElement(t),i=we.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return bi}static get DefaultType(){return vi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>yi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(fe.trigger(this._element,li).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(pi),this._element.classList.add(mi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(mi),this._element.classList.add(pi,fi),this._element.style[e]="",fe.trigger(this._element,ci)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(fe.trigger(this._element,hi).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(mi),this._element.classList.remove(pi,fi);for(const t of this._triggerArray){const e=we.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(mi),this._element.classList.add(pi),fe.trigger(this._element,di)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(fi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(_i);for(const e of t){const t=we.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=we.find(gi,this._config.parent);return we.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=yi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}fe.on(document,ui,_i,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of we.getMultipleElementsFromSelector(this))yi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(yi);const wi="dropdown",Ei=".bs.dropdown",Ai=".data-api",Ti="ArrowUp",Ci="ArrowDown",Oi=`hide${Ei}`,xi=`hidden${Ei}`,ki=`show${Ei}`,Li=`shown${Ei}`,Si=`click${Ei}${Ai}`,Di=`keydown${Ei}${Ai}`,$i=`keyup${Ei}${Ai}`,Ii="show",Ni='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Pi=`${Ni}.${Ii}`,Mi=".dropdown-menu",ji=Kt()?"top-end":"top-start",Fi=Kt()?"top-start":"top-end",Hi=Kt()?"bottom-end":"bottom-start",Bi=Kt()?"bottom-start":"bottom-end",Wi=Kt()?"left-start":"right-start",zi=Kt()?"right-start":"left-start",Ri={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},qi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Vi extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Mi)[0]||we.prev(this._element,Mi)[0]||we.findOne(Mi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Ri}static get DefaultType(){return qi}static get NAME(){return wi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,ki,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Ii),this._element.classList.add(Ii),fe.trigger(this._element,Li,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,Oi,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Ii),this._element.classList.remove(Ii),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,xi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${wi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Ii)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Wi;if(t.classList.contains("dropstart"))return zi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Fi:ji:e?Bi:Hi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===Ci,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Vi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(Pi);for(const i of e){const e=Vi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ti,Ci].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ni)?this:we.prev(this,Ni)[0]||we.next(this,Ni)[0]||we.findOne(Ni,t.delegateTarget.parentNode),o=Vi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Di,Ni,Vi.dataApiKeydownHandler),fe.on(document,Di,Mi,Vi.dataApiKeydownHandler),fe.on(document,Si,Vi.clearMenus),fe.on(document,$i,Vi.clearMenus),fe.on(document,Si,Ni,(function(t){t.preventDefault(),Vi.getOrCreateInstance(this).toggle()})),Qt(Vi);const Yi="backdrop",Ki="show",Qi=`mousedown.bs.${Yi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ui={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Gi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Ui}static get NAME(){return Yi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Ki),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Qi,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const Ji=".bs.focustrap",Zi=`focusin${Ji}`,tn=`keydown.tab${Ji}`,en="backward",nn={autofocus:!0,trapElement:null},sn={autofocus:"boolean",trapElement:"element"};class on extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return nn}static get DefaultType(){return sn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,Ji),fe.on(document,Zi,(t=>this._handleFocusin(t))),fe.on(document,tn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,Ji))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===en?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?en:"forward")}}const rn=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",an=".sticky-top",ln="padding-right",cn="margin-right";class hn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,ln,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e+t)),this._setElementAttributes(an,cn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,ln),this._resetElementAttributes(rn,ln),this._resetElementAttributes(an,cn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const dn=".bs.modal",un=`hide${dn}`,fn=`hidePrevented${dn}`,pn=`hidden${dn}`,mn=`show${dn}`,gn=`shown${dn}`,_n=`resize${dn}`,bn=`click.dismiss${dn}`,vn=`mousedown.dismiss${dn}`,yn=`keydown.dismiss${dn}`,wn=`click${dn}.data-api`,En="modal-open",An="show",Tn="modal-static",Cn={backdrop:!0,focus:!0,keyboard:!0},On={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class xn extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new hn,this._addEventListeners()}static get Default(){return Cn}static get DefaultType(){return On}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,mn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(En),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,un).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,dn),fe.off(this._dialog,dn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Gi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new on({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,gn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,yn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,_n,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,vn,(t=>{fe.one(this._element,bn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(En),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,pn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,fn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Tn)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Tn),this._queueCallback((()=>{this._element.classList.remove(Tn),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=xn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,wn,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,mn,(t=>{t.defaultPrevented||fe.one(e,pn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&xn.getInstance(i).hide(),xn.getOrCreateInstance(e).toggle(this)})),Ee(xn),Qt(xn);const kn=".bs.offcanvas",Ln=".data-api",Sn=`load${kn}${Ln}`,Dn="show",$n="showing",In="hiding",Nn=".offcanvas.show",Pn=`show${kn}`,Mn=`shown${kn}`,jn=`hide${kn}`,Fn=`hidePrevented${kn}`,Hn=`hidden${kn}`,Bn=`resize${kn}`,Wn=`click${kn}${Ln}`,zn=`keydown.dismiss${kn}`,Rn={backdrop:!0,keyboard:!0,scroll:!1},qn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Vn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Rn}static get DefaultType(){return qn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,Pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new hn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($n),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Dn),this._element.classList.remove($n),fe.trigger(this._element,Mn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,jn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(In),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Dn,In),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new hn).reset(),fe.trigger(this._element,Hn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Gi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Fn)}:null})}_initializeFocusTrap(){return new on({trapElement:this._element})}_addEventListeners(){fe.on(this._element,zn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Fn))}))}static jQueryInterface(t){return this.each((function(){const e=Vn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Hn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Nn);i&&i!==e&&Vn.getInstance(i).hide(),Vn.getOrCreateInstance(e).toggle(this)})),fe.on(window,Sn,(()=>{for(const t of we.find(Nn))Vn.getOrCreateInstance(t).show()})),fe.on(window,Bn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Vn.getOrCreateInstance(t).hide()})),Ee(Vn),Qt(Vn);const Yn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Un={allowList:Yn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Gn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Jn={entry:"(string|element|function|null)",selector:"(string|element)"};class Zn extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Un}static get DefaultType(){return Gn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Jn)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const ts=new Set(["sanitize","allowList","sanitizeFn"]),es="fade",is="show",ns=".modal",ss="hide.bs.modal",os="hover",rs="focus",as={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ls={allowList:Yn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},cs={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class hs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ls}static get DefaultType(){return cs}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(ns),ss,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(is),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(is),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[rs]=!1,this._activeTrigger[os]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(es,is),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(es),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Zn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(es)}_isShown(){return this.tip&&this.tip.classList.contains(is)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=as[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===os?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===os?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?rs:os]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?rs:os]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(ns),ss,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))ts.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=hs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(hs);const ds={...hs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div 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diff --git a/docs/_build/html/_static/scripts/bootstrap.js.map b/docs/_build/html/_static/scripts/bootstrap.js.map
index e5bc15752..64e212b1e 100644
--- a/docs/_build/html/_static/scripts/bootstrap.js.map
+++ b/docs/_build/html/_static/scripts/bootstrap.js.map
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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.2 (https://getbootstrap.com/)\n  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.2';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? parseSelector(hrefAttribute.trim()) : null;\n  }\n  return selector;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\n\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\n\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Import and setup functions to control Bootstrap's behavior.\nimport \"@popperjs/core\";\nimport { Tooltip } from \"bootstrap\";\nimport { documentReady } from \"./mixin\";\n\nimport \"../styles/bootstrap.scss\";\n\n/*******************************************************************************\n * Trigger tooltips\n */\n\n/**\n * Add tooltip to each element with the \"tooltip\" data-bs-toogle class\n */\nfunction TriggerTooltip() {\n  var tooltipTriggerList = [].slice.call(\n    document.querySelectorAll('[data-bs-toggle=\"tooltip\"]')\n  );\n  tooltipTriggerList.map(function (tooltipTriggerEl) {\n    return new Tooltip(tooltipTriggerEl, { delay: { show: 500, hide: 100 } });\n  });\n}\n\n/*******************************************************************************\n * back to top button\n */\nfunction backToTop() {\n  var btn = document.getElementById(\"pst-back-to-top\");\n  btn.addEventListener(\"click\", function () {\n    document.body.scrollTop = 0;\n    document.documentElement.scrollTop = 0;\n  });\n}\n\nfunction showBackToTop() {\n  var btn = document.getElementById(\"pst-back-to-top\");\n  var header = document\n    .getElementsByClassName(\"bd-header\")[0]\n    .getBoundingClientRect();\n  window.addEventListener(\"scroll\", function () {\n    if (this.oldScroll > this.scrollY && this.scrollY > header.bottom) {\n      btn.style.display = \"block\";\n    } else {\n      btn.style.display = \"none\";\n    }\n    this.oldScroll = this.scrollY;\n  });\n}\n\n/*******************************************************************************\n * Call functions after document loading.\n 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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.2 (https://getbootstrap.com/)\n  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.2';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? parseSelector(hrefAttribute.trim()) : null;\n  }\n  return selector;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\n\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\n\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if 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diff --git a/docs/_build/html/_static/scripts/pydata-sphinx-theme.js b/docs/_build/html/_static/scripts/pydata-sphinx-theme.js
index db2e63a03..25dee3ec2 100644
--- a/docs/_build/html/_static/scripts/pydata-sphinx-theme.js
+++ b/docs/_build/html/_static/scripts/pydata-sphinx-theme.js
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index 22244973f..131caef33 100644
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Symbol(\"webpack error\") : \"__webpack_error__\";\nvar resolveQueue = (queue) => {\n\tif(queue && queue.d < 1) {\n\t\tqueue.d = 1;\n\t\tqueue.forEach((fn) => (fn.r--));\n\t\tqueue.forEach((fn) => (fn.r-- ? fn.r++ : fn()));\n\t}\n}\nvar wrapDeps = (deps) => (deps.map((dep) => {\n\tif(dep !== null && typeof dep === \"object\") {\n\t\tif(dep[webpackQueues]) return dep;\n\t\tif(dep.then) {\n\t\t\tvar queue = [];\n\t\t\tqueue.d = 0;\n\t\t\tdep.then((r) => {\n\t\t\t\tobj[webpackExports] = r;\n\t\t\t\tresolveQueue(queue);\n\t\t\t}, (e) => {\n\t\t\t\tobj[webpackError] = e;\n\t\t\t\tresolveQueue(queue);\n\t\t\t});\n\t\t\tvar obj = {};\n\t\t\tobj[webpackQueues] = (fn) => (fn(queue));\n\t\t\treturn obj;\n\t\t}\n\t}\n\tvar ret = {};\n\tret[webpackQueues] = x => {};\n\tret[webpackExports] = dep;\n\treturn ret;\n}));\n__webpack_require__.a = (module, body, hasAwait) => {\n\tvar queue;\n\thasAwait && ((queue = []).d = -1);\n\tvar depQueues = new Set();\n\tvar exports = module.exports;\n\tvar currentDeps;\n\tvar outerResolve;\n\tvar reject;\n\tvar promise = new Promise((resolve, rej) => {\n\t\treject = rej;\n\t\touterResolve = resolve;\n\t});\n\tpromise[webpackExports] = exports;\n\tpromise[webpackQueues] = (fn) => (queue && fn(queue), depQueues.forEach(fn), promise[\"catch\"](x => {}));\n\tmodule.exports = promise;\n\tbody((deps) => {\n\t\tcurrentDeps = wrapDeps(deps);\n\t\tvar fn;\n\t\tvar getResult = () => (currentDeps.map((d) => {\n\t\t\tif(d[webpackError]) throw d[webpackError];\n\t\t\treturn d[webpackExports];\n\t\t}))\n\t\tvar promise = new Promise((resolve) => {\n\t\t\tfn = () => (resolve(getResult));\n\t\t\tfn.r = 0;\n\t\t\tvar fnQueue = (q) => (q !== queue && !depQueues.has(q) && (depQueues.add(q), q && !q.d && (fn.r++, q.push(fn))));\n\t\t\tcurrentDeps.map((dep) => (dep[webpackQueues](fnQueue)));\n\t\t});\n\t\treturn fn.r ? promise : getResult();\n\t}, (err) => ((err ? reject(promise[webpackError] = err) : outerResolve(exports)), resolveQueue(queue)));\n\tqueue && queue.d < 0 && (queue.d = 0);\n};","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \"div:not(.search-button__search-container) > form.bd-search\"\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  let input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  let searchPopupWrapper = document.querySelector(\".search-button__wrapper\");\n  let hiddenInput = searchPopupWrapper.querySelector(\"input\");\n  if (input === hiddenInput) {\n    searchPopupWrapper.classList.toggle(\"show\");\n  }\n  // when toggling off the search field, remove its focus\n  if (document.activeElement === input) {\n    input.blur();\n  } else {\n    input.focus();\n    input.select();\n    input.scrollIntoView({ block: \"center\" });\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /k/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\")\n    );\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // Add the search button overlay event callback\n  let overlay = document.querySelector(\".search-button__overlay\");\n  if (overlay) {\n    overlay.onclick = toggleSearchField;\n  }\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  let currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      // assume we got a relative path, and fix accordingly. But first, we need to\n      // use `fetch()` to follow redirects so we get the correct final base URL\n      const origin = await fetch(window.location.origin, { method: \"HEAD\" });\n      result = new URL(url, origin.url);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\"\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`\n    );\n    return;\n  }\n  const preferredVersion = 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Symbol(\"webpack error\") : \"__webpack_error__\";\nvar resolveQueue = (queue) => {\n\tif(queue && queue.d < 1) {\n\t\tqueue.d = 1;\n\t\tqueue.forEach((fn) => (fn.r--));\n\t\tqueue.forEach((fn) => (fn.r-- ? fn.r++ : fn()));\n\t}\n}\nvar wrapDeps = (deps) => (deps.map((dep) => {\n\tif(dep !== null && typeof dep === \"object\") {\n\t\tif(dep[webpackQueues]) return dep;\n\t\tif(dep.then) {\n\t\t\tvar queue = [];\n\t\t\tqueue.d = 0;\n\t\t\tdep.then((r) => {\n\t\t\t\tobj[webpackExports] = r;\n\t\t\t\tresolveQueue(queue);\n\t\t\t}, (e) => {\n\t\t\t\tobj[webpackError] = e;\n\t\t\t\tresolveQueue(queue);\n\t\t\t});\n\t\t\tvar obj = {};\n\t\t\tobj[webpackQueues] = (fn) => (fn(queue));\n\t\t\treturn obj;\n\t\t}\n\t}\n\tvar ret = {};\n\tret[webpackQueues] = x => {};\n\tret[webpackExports] = dep;\n\treturn ret;\n}));\n__webpack_require__.a = (module, body, hasAwait) => {\n\tvar queue;\n\thasAwait && ((queue = []).d = -1);\n\tvar depQueues = new Set();\n\tvar exports = module.exports;\n\tvar currentDeps;\n\tvar outerResolve;\n\tvar reject;\n\tvar promise = new Promise((resolve, rej) => {\n\t\treject = rej;\n\t\touterResolve = resolve;\n\t});\n\tpromise[webpackExports] = exports;\n\tpromise[webpackQueues] = (fn) => (queue && fn(queue), depQueues.forEach(fn), promise[\"catch\"](x => {}));\n\tmodule.exports = promise;\n\tbody((deps) => {\n\t\tcurrentDeps = wrapDeps(deps);\n\t\tvar fn;\n\t\tvar getResult = () => (currentDeps.map((d) => {\n\t\t\tif(d[webpackError]) throw d[webpackError];\n\t\t\treturn d[webpackExports];\n\t\t}))\n\t\tvar promise = new Promise((resolve) => {\n\t\t\tfn = () => (resolve(getResult));\n\t\t\tfn.r = 0;\n\t\t\tvar fnQueue = (q) => (q !== queue && !depQueues.has(q) && (depQueues.add(q), q && !q.d && (fn.r++, q.push(fn))));\n\t\t\tcurrentDeps.map((dep) => (dep[webpackQueues](fnQueue)));\n\t\t});\n\t\treturn fn.r ? promise : getResult();\n\t}, (err) => ((err ? reject(promise[webpackError] = err) : outerResolve(exports)), resolveQueue(queue)));\n\tqueue && queue.d < 0 && (queue.d = 0);\n};","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \"div:not(.search-button__search-container) > form.bd-search\"\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  let input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  let searchPopupWrapper = document.querySelector(\".search-button__wrapper\");\n  let hiddenInput = searchPopupWrapper.querySelector(\"input\");\n  if (input === hiddenInput) {\n    searchPopupWrapper.classList.toggle(\"show\");\n  }\n  // when toggling off the search field, remove its focus\n  if (document.activeElement === input) {\n    input.blur();\n  } else {\n    input.focus();\n    input.select();\n    input.scrollIntoView({ block: \"center\" });\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /^k$/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\")\n    );\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // Add the search button overlay event callback\n  let overlay = document.querySelector(\".search-button__overlay\");\n  if (overlay) {\n    overlay.onclick = toggleSearchField;\n  }\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  let currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      // assume we got a relative path, and fix accordingly. But first, we need to\n      // use `fetch()` to follow redirects so we get the correct final base URL\n      const origin = await fetch(window.location.origin, { method: \"HEAD\" });\n      result = new URL(url, origin.url);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\"\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`\n    );\n    return;\n  }\n  const preferredVersion = preferredEntries[0].version;\n  const preferredURL = preferredEntries[0].url;\n  // if already on preferred version, nothing to do\n  const versionsAreComparable = validate(version) && validate(preferredVersion);\n  if (versionsAreComparable && compare(version, preferredVersion, \"=\")) {\n    return;\n  }\n  // now construct the warning banner\n  var outer = document.createElement(\"aside\");\n  // TODO: add to translatable strings\n  outer.setAttribute(\"aria-label\", \"Version warning\");\n  const middle = document.createElement(\"div\");\n  const inner = document.createElement(\"div\");\n  const bold = document.createElement(\"strong\");\n  const button = document.createElement(\"a\");\n  // these classes exist since pydata-sphinx-theme v0.10.0\n  outer.classList = \"bd-header-version-warning container-fluid\";\n  middle.classList = \"bd-header-announcement__content\";\n  inner.classList = \"sidebar-message\";\n  button.classList =\n    \"sd-btn sd-btn-danger sd-shadow-sm sd-text-wrap font-weight-bold ms-3 my-1 align-baseline\";\n  button.href = `${preferredURL}${DOCUMENTATION_OPTIONS.pagename}.html`;\n  button.innerText = \"Switch to stable version\";\n  button.onclick = checkPageExistsAndRedirect;\n  // add the version-dependent text\n  inner.innerText = \"This is documentation for \";\n  const isDev =\n    version.includes(\"dev\") ||\n    version.includes(\"rc\") ||\n    version.includes(\"pre\");\n  const newerThanPreferred =\n    versionsAreComparable && compare(version, preferredVersion, \">\");\n  if (isDev || newerThanPreferred) {\n    bold.innerText = \"an unstable development version\";\n  } else if (versionsAreComparable && compare(version, preferredVersion, \"<\")) {\n    bold.innerText = `an old version (${version})`;\n  } else if (!version) {\n    bold.innerText = \"an unknown version\"; // e.g., an empty string\n  } else {\n    bold.innerText = `version ${version}`;\n  }\n  outer.appendChild(middle);\n  middle.appendChild(inner);\n  inner.appendChild(bold);\n  inner.appendChild(document.createTextNode(\".\"));\n  inner.appendChild(button);\n  const skipLink = document.getElementById(\"pst-skip-link\");\n  skipLink.after(outer);\n}\n\n/*******************************************************************************\n * MutationObserver to move the ReadTheDocs button\n */\n\n/**\n * intercept the RTD flyout and place it in the rtd-footer-container if existing\n * if not it stays where on top of the page\n */\nfunction initRTDObserver() {\n  const mutatedCallback = (mutationList, observer) => {\n    mutationList.forEach((mutation) => {\n      // Check whether the mutation is for RTD, which will have a specific structure\n      if (mutation.addedNodes.length === 0) {\n        return;\n      }\n      if (mutation.addedNodes[0].data === undefined) {\n        return;\n      }\n      if (mutation.addedNodes[0].data.search(\"Inserted RTD Footer\") != -1) {\n        mutation.addedNodes.forEach((node) => {\n          document.getElementById(\"rtd-footer-container\").append(node);\n        });\n      }\n    });\n  };\n\n  const observer = new MutationObserver(mutatedCallback);\n  const config = { childList: true };\n  observer.observe(document.body, config);\n}\n\n// fetch the JSON version data (only once), then use it to populate the version\n// switcher and maybe show the version warning bar\nvar versionSwitcherBtns = document.querySelectorAll(\n  \".version-switcher__button\"\n);\nconst hasSwitcherMenu = versionSwitcherBtns.length > 0;\nconst hasVersionsJSON = DOCUMENTATION_OPTIONS.hasOwnProperty(\n  \"theme_switcher_json_url\"\n);\nconst wantsWarningBanner = DOCUMENTATION_OPTIONS.show_version_warning_banner;\n\nif (hasVersionsJSON && (hasSwitcherMenu || wantsWarningBanner)) {\n  const data = await fetchVersionSwitcherJSON(\n    DOCUMENTATION_OPTIONS.theme_switcher_json_url\n  );\n  populateVersionSwitcher(data, versionSwitcherBtns);\n  if (wantsWarningBanner) {\n    showVersionWarningBanner(data);\n  }\n}\n\n/**\n * Fix bug #1603\n */\nfunction fixMoreLinksInMobileSidebar() {\n  const dropdown = document.querySelector(\n    \".bd-sidebar-primary [id^=pst-nav-more-links]\"\n  );\n  dropdown.classList.add(\"show\");\n}\n\n/*******************************************************************************\n * Call functions after document loading.\n */\n\ndocumentReady(addModeListener);\ndocumentReady(scrollToActive);\ndocumentReady(addTOCInteractivity);\ndocumentReady(setupSearchButtons);\ndocumentReady(initRTDObserver);\ndocumentReady(fixMoreLinksInMobileSidebar);\n","// The module cache\nvar __webpack_module_cache__ = {};\n\n// The require function\nfunction __webpack_require__(moduleId) {\n\t// Check if module is in cache\n\tvar cachedModule = __webpack_module_cache__[moduleId];\n\tif (cachedModule !== undefined) {\n\t\treturn cachedModule.exports;\n\t}\n\t// Create a new module (and put it into the cache)\n\tvar module = __webpack_module_cache__[moduleId] = {\n\t\t// no module.id needed\n\t\t// no module.loaded needed\n\t\texports: {}\n\t};\n\n\t// Execute the module function\n\t__webpack_modules__[moduleId](module, module.exports, __webpack_require__);\n\n\t// Return the exports of the module\n\treturn module.exports;\n}\n\n","// define getter functions for harmony exports\n__webpack_require__.d = (exports, definition) => {\n\tfor(var key in definition) {\n\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n\t\t}\n\t}\n};","__webpack_require__.o = (obj, prop) => (Object.prototype.hasOwnProperty.call(obj, prop))","// startup\n// Load entry module and return exports\n// This entry module used 'module' so it can't be inlined\nvar __webpack_exports__ = __webpack_require__(937);\n"],"names":["webpackQueues","webpackExports","webpackError","resolveQueue","validate","version","test","semver","compare","v1","v2","operator","assertValidOperator","res","n1","validateAndParse","n2","p1","pop","p2","r","compareSegments","split","compareVersions","operatorResMap","includes","TypeError","match","Error","shift","isWildcard","s","tryParse","v","n","parseInt","isNaN","compareStrings","a","b","ap","bp","String","forceType","i","Math","max","length","allowedOperators","Object","keys","op","indexOf","join","documentReady","callback","document","readyState","addEventListener","prefersDark","window","matchMedia","autoTheme","e","documentElement","dataset","theme","matches","setTheme","mode","console","error","colorScheme","querySelectorAll","forEach","el","classList","add","remove","localStorage","setItem","log","onchange","cycleMode","defaultMode","currentMode","getItem","arr","nextPosition","addModeListener","addTOCInteractivity","navLink","parentElement","scrollToActive","querySelector","sidebar","storedScrollTop","sessionStorage","active_pages","latest_active","offset","getBoundingClientRect","y","innerHeight","buffer","scrollTop","clientHeight","findSearchInput","forms","toggleSearchField","input","searchPopupWrapper","toggle","activeElement","blur","focus","select","scrollIntoView","block","useCommandKey","navigator","platform","async","checkPageExistsAndRedirect","event","preventDefault","currentFilePath","DOCUMENTATION_OPTIONS","pagename","tryUrl","currentTarget","getAttribute","otherDocsHomepage","replace","fetch","method","ok","location","href","err","fetchVersionSwitcherJSON","url","result","URL","origin","response","json","populateVersionSwitcher","data","versionSwitcherBtns","btn","hasMatchingPreferredEntry","map","entry","theme_switcher_version_match","preferred","name","some","Boolean","foundMatch","anchor","createElement","setAttribute","span","textContent","appendChild","matchesAndIsPreferred","matchesAndIsFirst","innerText","menu","node","cloneNode","onclick","append","showVersionWarningBanner","VERSION","preferredEntries","filter","howMany","preferredVersion","preferredURL","versionsAreComparable","outer","middle","inner","bold","button","isDev","newerThanPreferred","createTextNode","getElementById","after","initRTDObserver","MutationObserver","mutationList","observer","mutation","addedNodes","undefined","search","observe","body","childList","hasSwitcherMenu","hasVersionsJSON","hasOwnProperty","wantsWarningBanner","show_version_warning_banner","theme_switcher_json_url","fixMoreLinksInMobileSidebar","shortcuts","f","changeSearchShortcutKey","shiftKey","altKey","metaKey","ctrlKey","key","overlay","__webpack_module_cache__","__webpack_require__","moduleId","cachedModule","exports","module","__webpack_modules__","Symbol","queue","d","fn","hasAwait","currentDeps","outerResolve","reject","depQueues","Set","promise","Promise","resolve","rej","x","deps","dep","then","obj","ret","wrapDeps","getResult","fnQueue","q","has","push","definition","o","defineProperty","enumerable","get","prop","prototype","call"],"sourceRoot":""}
\ No newline at end of file
diff --git a/docs/_build/html/_static/searchtools.js b/docs/_build/html/_static/searchtools.js
index ac4d5861f..7918c3fab 100644
--- a/docs/_build/html/_static/searchtools.js
+++ b/docs/_build/html/_static/searchtools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for the full-text search.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -57,14 +57,14 @@ const _removeChildren = (element) => {
 const _escapeRegExp = (string) =>
   string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
 
-const _displayItem = (item, highlightTerms, searchTerms) => {
+const _displayItem = (item, searchTerms, highlightTerms) => {
   const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
-  const docUrlRoot = DOCUMENTATION_OPTIONS.URL_ROOT;
   const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
   const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
   const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+  const contentRoot = document.documentElement.dataset.content_root;
 
-  const [docName, title, anchor, descr] = item;
+  const [docName, title, anchor, descr, score, _filename] = item;
 
   let listItem = document.createElement("li");
   let requestUrl;
@@ -75,29 +75,35 @@ const _displayItem = (item, highlightTerms, searchTerms) => {
     if (dirname.match(/\/index\/$/))
       dirname = dirname.substring(0, dirname.length - 6);
     else if (dirname === "index/") dirname = "";
-    requestUrl = docUrlRoot + dirname;
+    requestUrl = contentRoot + dirname;
     linkUrl = requestUrl;
   } else {
     // normal html builders
-    requestUrl = docUrlRoot + docName + docFileSuffix;
+    requestUrl = contentRoot + docName + docFileSuffix;
     linkUrl = docName + docLinkSuffix;
   }
-  const params = new URLSearchParams();
-  params.set("highlight", [...highlightTerms].join(" "));
   let linkEl = listItem.appendChild(document.createElement("a"));
-  linkEl.href = linkUrl + "?" + params.toString() + anchor;
+  linkEl.href = linkUrl + anchor;
+  linkEl.dataset.score = score;
   linkEl.innerHTML = title;
-  if (descr)
-    listItem.appendChild(document.createElement("span")).innerText =
+  if (descr) {
+    listItem.appendChild(document.createElement("span")).innerHTML =
       " (" + descr + ")";
+    // highlight search terms in the description
+    if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+      highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+  }
   else if (showSearchSummary)
     fetch(requestUrl)
       .then((responseData) => responseData.text())
       .then((data) => {
         if (data)
           listItem.appendChild(
-            Search.makeSearchSummary(data, searchTerms, highlightTerms)
+            Search.makeSearchSummary(data, searchTerms)
           );
+        // highlight search terms in the summary
+        if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+          highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
       });
   Search.output.appendChild(listItem);
 };
@@ -116,15 +122,15 @@ const _finishSearch = (resultCount) => {
 const _displayNextItem = (
   results,
   resultCount,
+  searchTerms,
   highlightTerms,
-  searchTerms
 ) => {
   // results left, load the summary and display it
   // this is intended to be dynamic (don't sub resultsCount)
   if (results.length) {
-    _displayItem(results.pop(), highlightTerms, searchTerms);
+    _displayItem(results.pop(), searchTerms, highlightTerms);
     setTimeout(
-      () => _displayNextItem(results, resultCount, highlightTerms, searchTerms),
+      () => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
       5
     );
   }
@@ -155,10 +161,8 @@ const Search = {
   _pulse_status: -1,
 
   htmlToText: (htmlString) => {
-    const htmlElement = document
-      .createRange()
-      .createContextualFragment(htmlString);
-    _removeChildren(htmlElement.querySelectorAll(".headerlink"));
+    const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+    htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() });
     const docContent = htmlElement.querySelector('[role="main"]');
     if (docContent !== undefined) return docContent.textContent;
     console.warn(
@@ -239,6 +243,12 @@ const Search = {
    * execute search (requires search index to be loaded)
    */
   query: (query) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
     // stem the search terms and add them to the correct list
     const stemmer = new Stemmer();
     const searchTerms = new Set();
@@ -266,6 +276,10 @@ const Search = {
       }
     });
 
+    if (SPHINX_HIGHLIGHT_ENABLED) {  // set in sphinx_highlight.js
+      localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+    }
+
     // console.debug("SEARCH: searching for:");
     // console.info("required: ", [...searchTerms]);
     // console.info("excluded: ", [...excludedTerms]);
@@ -274,6 +288,40 @@ const Search = {
     let results = [];
     _removeChildren(document.getElementById("search-progress"));
 
+    const queryLower = query.toLowerCase();
+    for (const [title, foundTitles] of Object.entries(allTitles)) {
+      if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) {
+        for (const [file, id] of foundTitles) {
+          let score = Math.round(100 * queryLower.length / title.length)
+          results.push([
+            docNames[file],
+            titles[file] !== title ? `${titles[file]} > ${title}` : title,
+            id !== null ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
+    // search for explicit entries in index directives
+    for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+      if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+        for (const [file, id] of foundEntries) {
+          let score = Math.round(100 * queryLower.length / entry.length)
+          results.push([
+            docNames[file],
+            titles[file],
+            id ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
     // lookup as object
     objectTerms.forEach((term) =>
       results.push(...Search.performObjectSearch(term, objectTerms))
@@ -320,7 +368,7 @@ const Search = {
     // console.info("search results:", Search.lastresults);
 
     // print the results
-    _displayNextItem(results, results.length, highlightTerms, searchTerms);
+    _displayNextItem(results, results.length, searchTerms, highlightTerms);
   },
 
   /**
@@ -401,8 +449,8 @@ const Search = {
     // prepare search
     const terms = Search._index.terms;
     const titleTerms = Search._index.titleterms;
-    const docNames = Search._index.docnames;
     const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
     const titles = Search._index.titles;
 
     const scoreMap = new Map();
@@ -499,16 +547,15 @@ const Search = {
   /**
    * helper function to return a node containing the
    * search summary for a given text. keywords is a list
-   * of stemmed words, highlightWords is the list of normal, unstemmed
-   * words. the first one is used to find the occurrence, the
-   * latter for highlighting it.
+   * of stemmed words.
    */
-  makeSearchSummary: (htmlText, keywords, highlightWords) => {
-    const text = Search.htmlToText(htmlText).toLowerCase();
+  makeSearchSummary: (htmlText, keywords) => {
+    const text = Search.htmlToText(htmlText);
     if (text === "") return null;
 
+    const textLower = text.toLowerCase();
     const actualStartPosition = [...keywords]
-      .map((k) => text.indexOf(k.toLowerCase()))
+      .map((k) => textLower.indexOf(k.toLowerCase()))
       .filter((i) => i > -1)
       .slice(-1)[0];
     const startWithContext = Math.max(actualStartPosition - 120, 0);
@@ -516,13 +563,9 @@ const Search = {
     const top = startWithContext === 0 ? "" : "...";
     const tail = startWithContext + 240 < text.length ? "..." : "";
 
-    let summary = document.createElement("div");
+    let summary = document.createElement("p");
     summary.classList.add("context");
-    summary.innerText = top + text.substr(startWithContext, 240).trim() + tail;
-
-    highlightWords.forEach((highlightWord) =>
-      _highlightText(summary, highlightWord, "highlighted")
-    );
+    summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
 
     return summary;
   },
diff --git a/docs/_build/html/_static/sphinx_highlight.js b/docs/_build/html/_static/sphinx_highlight.js
new file mode 100644
index 000000000..8a96c69a1
--- /dev/null
+++ b/docs/_build/html/_static/sphinx_highlight.js
@@ -0,0 +1,154 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
+
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
+
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      const rest = document.createTextNode(val.substr(pos + text.length));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          rest,
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+      /* There may be more occurrences of search term in this node. So call this
+       * function recursively on the remaining fragment.
+       */
+      _highlight(rest, addItems, text, className);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
+      }
+    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+  }
+};
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+  /**
+   * highlight the search words provided in localstorage in the text
+   */
+  highlightSearchWords: () => {
+    if (!SPHINX_HIGHLIGHT_ENABLED) return;  // bail if no highlight
+
+    // get and clear terms from localstorage
+    const url = new URL(window.location);
+    const highlight =
+        localStorage.getItem("sphinx_highlight_terms")
+        || url.searchParams.get("highlight")
+        || "";
+    localStorage.removeItem("sphinx_highlight_terms")
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+
+    // get individual terms from highlight string
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
+
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:SphinxHighlight.hideSearchWords()">' +
+            _("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    localStorage.removeItem("sphinx_highlight_terms")
+  },
+
+  initEscapeListener: () => {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+      if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+        SphinxHighlight.hideSearchWords();
+        event.preventDefault();
+      }
+    });
+  },
+};
+
+_ready(() => {
+  /* Do not call highlightSearchWords() when we are on the search page.
+   * It will highlight words from the *previous* search query.
+   */
+  if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
+  SphinxHighlight.initEscapeListener();
+});
diff --git a/docs/_build/html/_static/styles/pydata-sphinx-theme.css b/docs/_build/html/_static/styles/pydata-sphinx-theme.css
index 9d12a9657..b81ac474d 100644
--- a/docs/_build/html/_static/styles/pydata-sphinx-theme.css
+++ b/docs/_build/html/_static/styles/pydata-sphinx-theme.css
@@ -1,2 +1,2 @@
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details.toggle-details summary{border-left:3px solid var(--pst-color-primary)}html div.rendered_html html .jp-RenderedHTMLCommon table{table-layout:auto}html[data-theme=dark] .bd-content .nboutput .output_area.rendered_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}html[data-theme=dark] .bd-content .nboutput .output_area.stderr{background:var(--pst-color-danger)}div.nblast.container{margin-bottom:1rem}div.cell_output .output{max-width:100%;overflow-x:auto}html[data-theme=dark] .bd-content div.cell_output img,html[data-theme=dark] .bd-content div.cell_output .text_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}.bd-content div.cell_input{display:flex;flex-direction:column;justify-content:stretch}.bd-content div.cell_input,.bd-content div.output{border-radius:.25rem}.bd-content div.output table{table-layout:auto}html[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded{border-radius:0;padding:0}.bd-search-container div#search-results>h2{font-size:var(--pst-font-size-icon);margin-top:0}.bd-search-container div#search-results p.search-summary{color:var(--pst-color-text-muted)}.bd-search-container ul.search{margin:0;list-style:none}.bd-search-container ul.search li{background-image:none;padding:1rem 0;margin:1rem 0;border-top:1px solid var(--pst-color-text-muted)}.bd-search-container ul.search li>a{font-size:1.2em}.bd-search-container ul.search li div.context,.bd-search-container ul.search li p.context{color:var(--pst-color-text-base);margin:.5em 0 0 0}.bd-search-container ul.search li div.context a:before,.bd-search-container ul.search li p.context a:before{content:\"#\";padding-right:.2em;color:var(--pst-color-text-muted)}","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on bootstrap sizing\n  --pst-font-size-h1: 2.5rem;\n  --pst-font-size-h2: 2rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1.1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 400;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, BlinkMacSystemFont, Segoe UI,\n    \"Helvetica Neue\", Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji,\n    Segoe UI Symbol;\n  --pst-font-family-monospace-system: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: 1.65;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n  color: var(--pst-color-text-base);\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    opacity: 0.7;\n    font-size: 0.8em;\n    padding: 0 4px 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    transition: all 0.2s ease-out;\n    user-select: none;\n\n    &:hover {\n      opacity: 1;\n    }\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n.heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend .heading-style;\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 80vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n}\n","/**\n * Consistent styling for links\n **/\n\n// Define some useful variables for links styling consistency\n//\n//  Thickness of the underline for links\n// the default will be either:\n//  - 1px\n// - 0.0625rem if it's thicker than 1px because the user has changed the text\n//   size in their browser\n$link-underline-thickness: unquote(\"max(1px, .0625rem)\") !default;\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: unquote(\"max(3px, .1875rem, .12em)\") !default;\n\n//  Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n    // Disable ink skipping on underlines on hover. Browsers haven't\n    // standardised on this part of the spec yet, so set both properties\n    text-decoration-skip-ink: none; // Chromium, Firefox\n    text-decoration-skip: none; // Safari\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover\n@mixin link-style-hover {\n  &:hover {\n    @include link-decoration;\n    @include link-decoration-hover;\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Default link styles\n//\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n\n  color: var(--pst-color-link);\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n  @include focus-indicator;\n}\n\n// Text link styles\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n  @include focus-indicator;\n}\n\n// Sidebar and TOC links\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Sidebar current page link styles\n//\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    box-shadow: inset\n      $link-hover-decoration-thickness\n      0px\n      0px\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar current page link styles\n//\n// Adds a bottom underline, this leaves enough space for the hover state without\n// cluttering the navbar.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-navbar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    border-bottom: $link-hover-decoration-thickness\n      solid\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar icon links hover styles\n//\n// Adds a bottom box-shadow - since there is no text we cannot use text-decoration\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin icon-navbar-hover {\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @if $link-hover-decoration-thickness {\n      box-shadow: 0px\n        $link-hover-decoration-thickness\n        0px\n        var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Focus indicator\n@mixin focus-indicator {\n  &:focus-visible {\n    outline: 2px solid var(--pst-color-accent);\n  }\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n$accordion-button-focus-border-color:     $input-focus-border-color !default;\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-active-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n","/***\n * Rules for the UX/UI of skip navigation link btn. \n *It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  // Ensure we are using a WCAG conformant colour\n  color: var(--pst-color-warning-text) !important;\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n  &:focus {\n    transform: translateY(0%);\n    // ensure this is visible\n    outline: 3px solid $foundation-black;\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n",".bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  &:after {\n    position: absolute;\n    width: 100%;\n    height: 100%;\n    left: 0;\n    top: 0;\n    content: \"\";\n    z-index: -1; // So it doesn't hover over the content\n  }\n\n  &:empty {\n    display: none;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  &:after {\n    background-color: var(--pst-color-secondary-bg);\n  }\n}\n\n.bd-header-version-warning {\n  &:after {\n    background-color: var(--pst-color-danger-bg);\n  }\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the header items on mobile\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: flex;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: 1rem;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  .navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Center align on wide screens so the dropdown button is centered properly\n      align-items: center;\n    }\n\n    li a.nav-link {\n      @include link-style-text;\n    }\n\n    // Current page is always underlined in the navbar\n    > .current > .nav-link {\n      @include link-navbar-current;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        color: var(--pst-color-text-muted);\n        border: none;\n        @include link-style-hover;\n        @include focus-indicator;\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover):not(:active) {\n            background-color: inherit;\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  @include link-style-hover;\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external:after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n/**\n * Showing and hiding the sidebar toggle buttons and header items\n */\n\n// Hide the header items on mobile\n.bd-header {\n  // Toggle labels\n  label {\n    &.sidebar-toggle {\n      display: flex;\n      cursor: pointer;\n      font-size: var(--pst-font-size-icon);\n      align-items: center;\n      color: var(--pst-color-muted);\n      margin-bottom: 0;\n      padding-bottom: 0.25rem;\n    }\n\n    &.primary-toggle {\n      margin-right: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-primary) {\n        display: none;\n      }\n    }\n\n    &.secondary-toggle {\n      margin-left: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n        display: none;\n      }\n    }\n    @include icon-navbar-hover;\n    @include focus-indicator;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n    }\n  }\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  display: flex;\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n    height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__start,\n  .header-article-items__end {\n    display: flex;\n    align-items: start;\n    gap: 0.5rem;\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem 1rem 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    // The dropdown toggle for extra links just shows them all instead.\n    .nav-item.dropdown {\n      // On mobile, the dropdown behaves like any other link, no hiding\n      button {\n        display: none;\n      }\n\n      .dropdown-menu {\n        display: flex;\n        flex-direction: column;\n        padding: 0;\n        margin: 0;\n        border: none;\n        background-color: inherit;\n        font-size: inherit;\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 0.5rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n  .list-caption {\n    list-style: none;\n    padding-left: 0px;\n  }\n  li {\n    position: relative;\n    // If it has children, add a bit more padding to wrap the content to avoid\n    // overlapping with the <label>\n    &.has-children {\n      > .reference {\n        padding-right: 30px;\n      }\n    }\n  }\n  // Navigation item chevrons\n  label.toctree-toggle {\n    position: absolute;\n    top: 0;\n    right: 0;\n    height: 30px;\n    width: 30px;\n\n    cursor: pointer;\n\n    display: flex;\n    justify-content: center;\n    align-items: center;\n\n    &:hover {\n      background: var(--pst-color-surface);\n    }\n\n    i {\n      display: inline-block;\n      font-size: 0.75rem;\n      text-align: center;\n      &:hover {\n        color: var(--pst-color-primary);\n      }\n    }\n  }\n  .label-parts {\n    width: 100%;\n    height: 100%;\n    &:hover {\n      background: none;\n    }\n    i {\n      width: 30px;\n      position: absolute;\n      top: 0.3em; // aligning chevron with text\n      right: 0em; // aligning chevron to the right\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -1rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: 0.25rem 0.65rem;\n    @include link-sidebar;\n    box-shadow: none;\n\n    &.reference.external {\n      &:after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current {\n    > a {\n      @include link-sidebar-current;\n      background-color: transparent;\n    }\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem 0.5rem;\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Buttons and overlays\n*/\ninput.sidebar-toggle {\n  display: none;\n}\n\n// Background overlays\nlabel.overlay {\n  background-color: black;\n  opacity: 0.5;\n  height: 0;\n  width: 0;\n  position: fixed;\n  top: 0;\n  left: 0;\n  transition: opacity $animation-time ease-out;\n  z-index: $zindex-modal-backdrop;\n}\n\ninput {\n  // Show the correct overlay when its input is checked\n  &#__primary:checked + label.overlay.overlay-primary,\n  &#__secondary:checked + label.overlay.overlay-secondary {\n    height: 100vh;\n    width: 100vw;\n  }\n\n  // Primary sidebar slides in from the left\n  &#__primary:checked ~ .bd-container .bd-sidebar-primary {\n    visibility: visible;\n    margin-left: 0;\n  }\n\n  // Secondary sidebar slides in from the right\n  &#__secondary:checked ~ .bd-container .bd-sidebar-secondary {\n    visibility: visible;\n    margin-right: 0;\n  }\n}\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * Behavior for sliding drawer elements that will be toggled with an input\n *\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition: visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n// Primary sidebar hides/shows at earlier widths\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  label.sidebar-toggle.primary-toggle {\n    display: none;\n  }\n\n  input#__primary {\n    &:checked + label.overlay.overlay-primary {\n      height: 0;\n      width: 0;\n    }\n  }\n\n  .bd-sidebar-primary {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home):before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.navbar-icon-links {\n  display: flex;\n  flex-direction: row;\n  column-gap: 1rem;\n  flex-wrap: wrap;\n\n  // Remove the padding so that we can define it with flexbox gap above\n  li.nav-item a.nav-link {\n    padding-left: 0;\n    padding-right: 0;\n    @include icon-navbar-hover;\n  }\n\n  // Spacing and centering\n  a span {\n    display: flex;\n    align-items: center;\n  }\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter:before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab:before {\n      color: #548;\n    }\n\n    &.fa-bitbucket:before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  // remove underline from brand title on default state\n  a {\n    text-decoration: none;\n  }\n  &:hover {\n    @include link-style-hover;\n  }\n  &:visited {\n    &:hover {\n      @include link-style-hover;\n    }\n  }\n}\n","/**\n * Navigation text links in the navbar\n */\n.navbar-nav {\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: 0.25rem;\n      padding-bottom: 0.25rem;\n      @include link-style-text;\n    }\n  }\n\n  /**\n   * Togglable expand/collapse\n   * This is only applicable to the primary sidebar which has these checkboxes\n   */\n  .toctree-checkbox {\n    position: absolute;\n    display: none;\n  }\n\n  .toctree-checkbox {\n    ~ ul {\n      display: none;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(0deg);\n    }\n  }\n  .toctree-checkbox:checked {\n    ~ ul {\n      display: block;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(180deg);\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover p.prev-next-title {\n      @include link-style-hover;\n    }\n    // Exception here - keep visited in the default link colour\n    // it still should hover on the default link hover colour\n    &:visited p.prev-next-title {\n      color: var(--pst-color-link);\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input {\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      -webkit-appearance: none;\n      appearance: none;\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: flex;\n    position: absolute;\n    right: 0.5rem;\n    color: var(--pst-color-border);\n  }\n}\n\n.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n\n  &:focus,\n  &:focus-visible {\n    border: none;\n    box-shadow: none;\n    outline: 3px solid var(--pst-color-accent);\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n\n// Search link icon should be a bit bigger since it is separate from icon links\n.search-button {\n  display: flex;\n  align-items: center;\n  align-content: center;\n  color: var(--pst-color-text-muted);\n  // Needed to match other icons hover\n  padding: 0 0 0.25rem 0;\n  border-radius: 0;\n  @include icon-navbar-hover;\n  @include focus-indicator;\n\n  i {\n    font-size: 1.3rem;\n  }\n}\n\n// __search-container will only show up when we use the search pop-up bar\n.search-button__search-container,\n.search-button__overlay {\n  display: none;\n}\n.search-button__wrapper.show {\n  .search-button__search-container {\n    display: flex;\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n  }\n\n  .search-button__overlay {\n    display: flex;\n    position: fixed;\n    z-index: $zindex-modal-backdrop;\n    background-color: black;\n    opacity: 0.5;\n    width: 100%;\n    height: 100%;\n    top: 0px;\n    left: 0px;\n  }\n\n  form.bd-search {\n    flex-grow: 1;\n    padding-top: 0;\n    padding-bottom: 0;\n  }\n\n  // Font and input text a bit bigger\n  svg,\n  input {\n    font-size: var(--pst-font-size-icon);\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: 1.5em;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    border: 2px solid var(--pst-color-link-hover);\n  }\n  &:focus-visible {\n    border: 2px solid var(--pst-color-accent);\n  }\n\n  // The keyboard shotcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow();\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n      &:hover {\n        box-shadow: inset 0px 0px 50px 50px rgba(0, 0, 0, 0.25);\n      }\n\n      &:before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  // overide bootstrap settings\n  margin: 0 -0.5rem;\n  padding: 0; // We pad the `span` not the container\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include focus-indicator;\n\n  span {\n    display: none;\n    padding: 0.5em;\n\n    @include icon-navbar-hover;\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\nhtml[data-mode=\"auto\"] .theme-switch-button span[data-mode=\"auto\"] {\n  display: flex;\n}\nhtml[data-mode=\"light\"] .theme-switch-button span[data-mode=\"light\"] {\n  display: flex;\n}\nhtml[data-mode=\"dark\"] .theme-switch-button span[data-mode=\"dark\"] {\n  display: flex;\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  @include link-style-hover;\n  @include focus-indicator;\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n    @include link-style-hover;\n    &:hover {\n      background-color: var(--pst-color-surface);\n    }\n    &.active {\n      @include link-sidebar-current;\n      position: relative;\n      z-index: 1;\n\n      span:before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav,\n.list-caption {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: 0.125rem 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &:before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &:before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &:before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &:before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n",".bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem; // ignore sidebar padding\n\n  .rst-versions.rst-badge {\n    position: unset;\n    font-size: 0.9em;\n    font-family: var(--pst-font-family-base);\n    max-width: unset;\n\n    .rst-current-version {\n      display: flex;\n      align-items: center;\n      gap: 0.2rem;\n      height: 2.5rem;\n      transition: background-color 0.2s ease-out;\n      background-color: var(--pst-color-background);\n      color: var(--pst-color-success);\n      border-top: 1px solid var(--pst-color-border);\n    }\n\n    .fa.fa-book {\n      color: var(--pst-color-text-muted);\n      margin-right: auto;\n\n      &::after {\n        color: var(--pst-color-text-base);\n        content: \"Read The Docs\";\n        font-family: var(--pst-font-family-base);\n        font-weight: var(--pst-admonition-font-weight-heading);\n      }\n    }\n    .fa.fa-caret-down {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  .rst-versions.rst-badge.shift-up {\n    .rst-current-version {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n  }\n\n  .rst-other-versions {\n    background-color: var(--pst-color-surface);\n    color: var(--pst-color-text-base);\n\n    dl {\n      dd a {\n        color: var(--pst-color-text-muted);\n      }\n    }\n\n    hr {\n      background-color: var(--pst-color-border);\n    }\n\n    small a {\n      color: var(--pst-color-link);\n    }\n\n    input {\n      padding-left: 0.5rem;\n      border: 1px solid var(--pst-color-border);\n      background-color: var(--pst-color-surface);\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-color-info-bg);\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &:after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &:after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &:after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 0.2rem;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0rem;\n      margin-right: 0rem;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n  @include box-shadow();\n\n  .topic-title {\n    margin: 0 0 0.5rem 0;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n// loading the math module\n@use \"sass:math\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &:before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if type-of($color) == string {\n    $color: from-hex($color);\n  }\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: str-length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: str-slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if index($hex, $c) == null {\n      @return $string;\n    }\n\n    @if str-length($r) < $max {\n      $r: $r + $c;\n    } @else if str-length($g) < $max {\n      $g: $g + $c;\n    } @else if str-length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(_hex-to-dec($r), _hex-to-dec($g), _hex-to-dec($b));\n}\n\n@function _hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: to-lower-case($string);\n  $length: str-length($string);\n\n  $dec: 0;\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: index($hex, str-slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0em 0em 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors*/\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple) {\n  //increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\n\n// Fix for Sphinx's \"highlight\" directive - this is an issue with our accessible pygments theme\n// and the colour we are using for the background of the code blocks.\nhtml[data-theme=\"light\"] .highlight .nf {\n  color: #0078a1 !important;\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child):before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child):after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n  -webkit-user-select: text; /* Safari fallback only */\n  -webkit-user-select: none; /* Chrome/Safari */\n  -moz-user-select: none; /* Firefox */\n  -ms-user-select: none; /* IE10+ */\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-surface);\n\n  //hack to make the text in the blockquote selectable\n  &:before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  color: var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download:before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\n// ensure table will fit in the article width and make them y-scrollable\ntable {\n  display: table;\n  overflow: auto;\n\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-align\\:left {\n    text-align: left;\n  }\n\n  &.text-align\\:right {\n    text-align: right;\n  }\n\n  &.text-align\\:center {\n    text-align: center;\n  }\n}\n\n// override bootstrap background colors\n.table {\n  --bs-table-bg: transparent;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0em;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-direction: row;\n      flex-flow: wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i:before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left:before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right:before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-direction: row;\n      flex-wrap: wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Removes the button background so we more naturally blend with the code cell.\n  background-color: unset;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left:after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #ffffff;\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"heading-color\": (\n    \"light\": #{$foundation-white},\n    \"dark\": #{$foundation-black},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if str-index($key, $mode) != null {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if str-index($key, \"bg\") != null {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n  }\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark):not(.dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark):not(.dark-light) {\n      background: rgb(255, 255, 255);\n      border-radius: 0.25rem;\n    }\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:meta\";\n@use \"sass:color\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n\n$all-colors: map-merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --pst-color-#{$name}-highlight: #{darken($value, 15%)};\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map-get($all-colors, $name);\n      @if type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if str-index($key, $mode) != null {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if str-index($key, \"bg\") != null {\n              --sd-color-#{$name}-bg: #{$value};\n              // create local variable\n              $bg-var: --sd-color-#{$name}-bg;\n              $value: check-color($value);\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map-get($all-colors, $name);\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow();\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  // TODO - --pst-color-panel-background is not defined... where is this coming from?\n  .sd-card-header {\n    background-color: var(--pst-color-panel-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n  .sd-card-footer {\n    background-color: var(--pst-color-panel-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-panel-background);\n  }\n}\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-color: transparent transparent var(--pst-color-primary); // top LR bottom\n      color: var(--pst-color-primary);\n    }\n\n    // Hover label\n    &:not(:checked) + label:hover {\n      border-color: var(--pst-color-secondary);\n      color: var(--pst-color-secondary);\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-text-muted);\n    border-top: 0.125rem solid transparent; // so hover isn't just color change\n    padding-top: 0.5em; // same as bottom padding, so hover overline looks OK\n    // Hovered label\n    html &:hover {\n      color: var(--pst-color-secondary);\n      border-color: var(--pst-color-secondary);\n    }\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0px !important;\n  summary.sd-card-header {\n    border: 0 !important;\n    & + div.sd-summary-content {\n      border: 0;\n    }\n  }\n  // Drop shadow should behave same as admonitions\n  @include box-shadow();\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n    & + div.sd-summary-content {\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n */\n\n.bd-content {\n  // Admonition toggles\n  .admonition {\n    button.toggle-button {\n      color: inherit;\n    }\n  }\n\n  // Details buttons\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  table {\n    table-layout: auto;\n  }\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  .nboutput {\n    .output_area.rendered_html {\n      @include cell-output-background;\n    }\n\n    .output_area.stderr {\n      background: var(--pst-color-danger);\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  div.cell_output {\n    img,\n    .text_html {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 0;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a:before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
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details.toggle-details summary{border-left:3px solid var(--pst-color-primary)}html div.rendered_html html .jp-RenderedHTMLCommon table{table-layout:auto}html[data-theme=dark] .bd-content .nboutput .output_area.rendered_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}html[data-theme=dark] .bd-content .nboutput .output_area.stderr{background:var(--pst-color-danger)}div.nblast.container{margin-bottom:1rem}div.cell_output .output{max-width:100%;overflow-x:auto}html[data-theme=dark] .bd-content div.cell_output img,html[data-theme=dark] .bd-content div.cell_output .text_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}.bd-content div.cell_input{display:flex;flex-direction:column;justify-content:stretch}.bd-content div.cell_input,.bd-content div.output{border-radius:.25rem}.bd-content div.output table{table-layout:auto}html[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded{border-radius:0;padding:0}.bd-search-container div#search-results>h2{font-size:var(--pst-font-size-icon);margin-top:0}.bd-search-container div#search-results p.search-summary{color:var(--pst-color-text-muted)}.bd-search-container ul.search{margin:0;list-style:none}.bd-search-container ul.search li{background-image:none;padding:1rem 0;margin:1rem 0;border-top:1px solid var(--pst-color-text-muted)}.bd-search-container ul.search li>a{font-size:1.2em}.bd-search-container ul.search li div.context,.bd-search-container ul.search li p.context{color:var(--pst-color-text-base);margin:.5em 0 0 0}.bd-search-container ul.search li div.context a:before,.bd-search-container ul.search li p.context a:before{content:\"#\";padding-right:.2em;color:var(--pst-color-text-muted)}","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on bootstrap sizing\n  --pst-font-size-h1: 2.5rem;\n  --pst-font-size-h2: 2rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1.1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 400;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, BlinkMacSystemFont, Segoe UI,\n    \"Helvetica Neue\", Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji,\n    Segoe UI Symbol;\n  --pst-font-family-monospace-system: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: 1.65;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n  color: var(--pst-color-text-base);\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    opacity: 0.7;\n    font-size: 0.8em;\n    padding: 0 4px 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    transition: all 0.2s ease-out;\n    user-select: none;\n\n    &:hover {\n      opacity: 1;\n    }\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n.heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend .heading-style;\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n}\n","/**\n * Consistent styling for links\n **/\n\n// Define some useful variables for links styling consistency\n//\n//  Thickness of the underline for links\n// the default will be either:\n//  - 1px\n// - 0.0625rem if it's thicker than 1px because the user has changed the text\n//   size in their browser\n$link-underline-thickness: unquote(\"max(1px, .0625rem)\") !default;\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: unquote(\"max(3px, .1875rem, .12em)\") !default;\n\n//  Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n    // Disable ink skipping on underlines on hover. Browsers haven't\n    // standardised on this part of the spec yet, so set both properties\n    text-decoration-skip-ink: none; // Chromium, Firefox\n    text-decoration-skip: none; // Safari\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover\n@mixin link-style-hover {\n  &:hover {\n    @include link-decoration;\n    @include link-decoration-hover;\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Default link styles\n//\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n\n  color: var(--pst-color-link);\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n  @include focus-indicator;\n}\n\n// Text link styles\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n  @include focus-indicator;\n}\n\n// Sidebar and TOC links\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Sidebar current page link styles\n//\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    box-shadow: inset\n      $link-hover-decoration-thickness\n      0px\n      0px\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar current page link styles\n//\n// Adds a bottom underline, this leaves enough space for the hover state without\n// cluttering the navbar.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-navbar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    border-bottom: $link-hover-decoration-thickness\n      solid\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar icon links hover styles\n//\n// Adds a bottom box-shadow - since there is no text we cannot use text-decoration\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin icon-navbar-hover {\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @if $link-hover-decoration-thickness {\n      box-shadow: 0px\n        $link-hover-decoration-thickness\n        0px\n        var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Focus indicator\n@mixin focus-indicator {\n  &:focus-visible {\n    outline: 2px solid var(--pst-color-accent);\n  }\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n$accordion-button-focus-border-color:     $input-focus-border-color !default;\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-active-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n","/***\n * Rules for the UX/UI of skip navigation link btn. \n *It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  // Ensure we are using a WCAG conformant colour\n  color: var(--pst-color-warning-text) !important;\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n  &:focus {\n    transform: translateY(0%);\n    // ensure this is visible\n    outline: 3px solid $foundation-black;\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n",".bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  &:after {\n    position: absolute;\n    width: 100%;\n    height: 100%;\n    left: 0;\n    top: 0;\n    content: \"\";\n    z-index: -1; // So it doesn't hover over the content\n  }\n\n  &:empty {\n    display: none;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  &:after {\n    background-color: var(--pst-color-secondary-bg);\n  }\n}\n\n.bd-header-version-warning {\n  &:after {\n    background-color: var(--pst-color-danger-bg);\n  }\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the header items on mobile\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: flex;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: 1rem;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  .navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Center align on wide screens so the dropdown button is centered properly\n      align-items: center;\n    }\n\n    li a.nav-link {\n      @include link-style-text;\n    }\n\n    // Current page is always underlined in the navbar\n    > .current > .nav-link {\n      @include link-navbar-current;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        color: var(--pst-color-text-muted);\n        border: none;\n        @include link-style-hover;\n        @include focus-indicator;\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover):not(:active) {\n            background-color: inherit;\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  @include link-style-hover;\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external:after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n/**\n * Showing and hiding the sidebar toggle buttons and header items\n */\n\n// Hide the header items on mobile\n.bd-header {\n  // Toggle labels\n  label {\n    &.sidebar-toggle {\n      display: flex;\n      cursor: pointer;\n      font-size: var(--pst-font-size-icon);\n      align-items: center;\n      color: var(--pst-color-muted);\n      margin-bottom: 0;\n      padding-bottom: 0.25rem;\n    }\n\n    &.primary-toggle {\n      margin-right: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-primary) {\n        display: none;\n      }\n    }\n\n    &.secondary-toggle {\n      margin-left: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n        display: none;\n      }\n    }\n    @include icon-navbar-hover;\n    @include focus-indicator;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n    }\n  }\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  display: flex;\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n    height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__start,\n  .header-article-items__end {\n    display: flex;\n    align-items: start;\n    gap: 0.5rem;\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem 1rem 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    // The dropdown toggle for extra links just shows them all instead.\n    .nav-item.dropdown {\n      // On mobile, the dropdown behaves like any other link, no hiding\n      button {\n        display: none;\n      }\n\n      .dropdown-menu {\n        display: flex;\n        flex-direction: column;\n        padding: 0;\n        margin: 0;\n        border: none;\n        background-color: inherit;\n        font-size: inherit;\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 0.5rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n  .list-caption {\n    list-style: none;\n    padding-left: 0px;\n  }\n  li {\n    position: relative;\n    // If it has children, add a bit more padding to wrap the content to avoid\n    // overlapping with the <label>\n    &.has-children {\n      > .reference {\n        padding-right: 30px;\n      }\n    }\n  }\n  // Navigation item chevrons\n  label.toctree-toggle {\n    position: absolute;\n    top: 0;\n    right: 0;\n    height: 30px;\n    width: 30px;\n\n    cursor: pointer;\n\n    display: flex;\n    justify-content: center;\n    align-items: center;\n\n    &:hover {\n      background: var(--pst-color-surface);\n    }\n\n    i {\n      display: inline-block;\n      font-size: 0.75rem;\n      text-align: center;\n      &:hover {\n        color: var(--pst-color-primary);\n      }\n    }\n  }\n  .label-parts {\n    width: 100%;\n    height: 100%;\n    &:hover {\n      background: none;\n    }\n    i {\n      width: 30px;\n      position: absolute;\n      top: 0.3em; // aligning chevron with text\n      right: 0em; // aligning chevron to the right\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -1rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: 0.25rem 0.65rem;\n    @include link-sidebar;\n    box-shadow: none;\n\n    &.reference.external {\n      &:after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current {\n    > a {\n      @include link-sidebar-current;\n      background-color: transparent;\n    }\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem 0.5rem;\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Buttons and overlays\n*/\ninput.sidebar-toggle {\n  display: none;\n}\n\n// Background overlays\nlabel.overlay {\n  background-color: black;\n  opacity: 0.5;\n  height: 0;\n  width: 0;\n  position: fixed;\n  top: 0;\n  left: 0;\n  transition: opacity $animation-time ease-out;\n  z-index: $zindex-modal-backdrop;\n}\n\ninput {\n  // Show the correct overlay when its input is checked\n  &#__primary:checked + label.overlay.overlay-primary,\n  &#__secondary:checked + label.overlay.overlay-secondary {\n    height: 100vh;\n    width: 100vw;\n  }\n\n  // Primary sidebar slides in from the left\n  &#__primary:checked ~ .bd-container .bd-sidebar-primary {\n    visibility: visible;\n    margin-left: 0;\n  }\n\n  // Secondary sidebar slides in from the right\n  &#__secondary:checked ~ .bd-container .bd-sidebar-secondary {\n    visibility: visible;\n    margin-right: 0;\n  }\n}\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * Behavior for sliding drawer elements that will be toggled with an input\n *\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition: visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n// Primary sidebar hides/shows at earlier widths\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  label.sidebar-toggle.primary-toggle {\n    display: none;\n  }\n\n  input#__primary {\n    &:checked + label.overlay.overlay-primary {\n      height: 0;\n      width: 0;\n    }\n  }\n\n  .bd-sidebar-primary {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home):before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.navbar-icon-links {\n  display: flex;\n  flex-direction: row;\n  column-gap: 1rem;\n  flex-wrap: wrap;\n\n  // Remove the padding so that we can define it with flexbox gap above\n  li.nav-item a.nav-link {\n    padding-left: 0;\n    padding-right: 0;\n    @include icon-navbar-hover;\n  }\n\n  // Spacing and centering\n  a span {\n    display: flex;\n    align-items: center;\n  }\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter:before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab:before {\n      color: #548;\n    }\n\n    &.fa-bitbucket:before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  // remove underline from brand title on default state\n  a {\n    text-decoration: none;\n  }\n  &:hover {\n    @include link-style-hover;\n  }\n  &:visited {\n    &:hover {\n      @include link-style-hover;\n    }\n  }\n}\n","/**\n * Navigation text links in the navbar\n */\n.navbar-nav {\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: 0.25rem;\n      padding-bottom: 0.25rem;\n      @include link-style-text;\n    }\n  }\n\n  /**\n   * Togglable expand/collapse\n   * This is only applicable to the primary sidebar which has these checkboxes\n   */\n  .toctree-checkbox {\n    position: absolute;\n    display: none;\n  }\n\n  .toctree-checkbox {\n    ~ ul {\n      display: none;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(0deg);\n    }\n  }\n  .toctree-checkbox:checked {\n    ~ ul {\n      display: block;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(180deg);\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover p.prev-next-title {\n      @include link-style-hover;\n    }\n    // Exception here - keep visited in the default link colour\n    // it still should hover on the default link hover colour\n    &:visited p.prev-next-title {\n      color: var(--pst-color-link);\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input {\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      -webkit-appearance: none;\n      appearance: none;\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: flex;\n    position: absolute;\n    right: 0.5rem;\n    color: var(--pst-color-border);\n  }\n}\n\n.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n\n  &:focus,\n  &:focus-visible {\n    border: none;\n    box-shadow: none;\n    outline: 3px solid var(--pst-color-accent);\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n\n// Search link icon should be a bit bigger since it is separate from icon links\n.search-button {\n  display: flex;\n  align-items: center;\n  align-content: center;\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include icon-navbar-hover;\n  @include focus-indicator;\n\n  i {\n    font-size: 1.3rem;\n  }\n}\n\n// __search-container will only show up when we use the search pop-up bar\n.search-button__search-container,\n.search-button__overlay {\n  display: none;\n}\n.search-button__wrapper.show {\n  .search-button__search-container {\n    display: flex;\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n  }\n\n  .search-button__overlay {\n    display: flex;\n    position: fixed;\n    z-index: $zindex-modal-backdrop;\n    background-color: black;\n    opacity: 0.5;\n    width: 100%;\n    height: 100%;\n    top: 0px;\n    left: 0px;\n  }\n\n  form.bd-search {\n    flex-grow: 1;\n    padding-top: 0;\n    padding-bottom: 0;\n  }\n\n  // Font and input text a bit bigger\n  svg,\n  input {\n    font-size: var(--pst-font-size-icon);\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: 1.5em;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    border: 2px solid var(--pst-color-link-hover);\n  }\n  &:focus-visible {\n    border: 2px solid var(--pst-color-accent);\n  }\n\n  // The keyboard shotcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow();\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n      &:hover {\n        box-shadow: inset 0px 0px 50px 50px rgba(0, 0, 0, 0.25);\n      }\n\n      &:before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  // overide bootstrap settings\n  margin: 0 -0.5rem;\n  padding: 0; // We pad the `span` not the container\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include focus-indicator;\n\n  span {\n    display: none;\n    padding: 0.5em;\n\n    @include icon-navbar-hover;\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\nhtml[data-mode=\"auto\"] .theme-switch-button span[data-mode=\"auto\"] {\n  display: flex;\n}\nhtml[data-mode=\"light\"] .theme-switch-button span[data-mode=\"light\"] {\n  display: flex;\n}\nhtml[data-mode=\"dark\"] .theme-switch-button span[data-mode=\"dark\"] {\n  display: flex;\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  @include link-style-hover;\n  @include focus-indicator;\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n    @include link-style-hover;\n    &:hover {\n      background-color: var(--pst-color-surface);\n    }\n    &.active {\n      @include link-sidebar-current;\n      position: relative;\n      z-index: 1;\n\n      span:before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav,\n.list-caption {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: 0.125rem 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &:before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &:before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &:before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &:before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n",".bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem; // ignore sidebar padding\n\n  .rst-versions.rst-badge {\n    position: unset;\n    font-size: 0.9em;\n    font-family: var(--pst-font-family-base);\n    max-width: unset;\n\n    .rst-current-version {\n      display: flex;\n      align-items: center;\n      gap: 0.2rem;\n      height: 2.5rem;\n      transition: background-color 0.2s ease-out;\n      background-color: var(--pst-color-background);\n      color: var(--pst-color-success);\n      border-top: 1px solid var(--pst-color-border);\n    }\n\n    .fa.fa-book {\n      color: var(--pst-color-text-muted);\n      margin-right: auto;\n\n      &::after {\n        color: var(--pst-color-text-base);\n        content: \"Read The Docs\";\n        font-family: var(--pst-font-family-base);\n        font-weight: var(--pst-admonition-font-weight-heading);\n      }\n    }\n    .fa.fa-caret-down {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  .rst-versions.rst-badge.shift-up {\n    .rst-current-version {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n  }\n\n  .rst-other-versions {\n    background-color: var(--pst-color-surface);\n    color: var(--pst-color-text-base);\n\n    dl {\n      dd a {\n        color: var(--pst-color-text-muted);\n      }\n    }\n\n    hr {\n      background-color: var(--pst-color-border);\n    }\n\n    small a {\n      color: var(--pst-color-link);\n    }\n\n    input {\n      padding-left: 0.5rem;\n      border: 1px solid var(--pst-color-border);\n      background-color: var(--pst-color-surface);\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-color-info-bg);\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &:after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &:after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &:after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 0.2rem;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0rem;\n      margin-right: 0rem;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n  @include box-shadow();\n\n  .topic-title {\n    margin: 0 0 0.5rem 0;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n// loading the math module\n@use \"sass:math\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &:before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if type-of($color) == string {\n    $color: from-hex($color);\n  }\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: str-length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: str-slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if index($hex, $c) == null {\n      @return $string;\n    }\n\n    @if str-length($r) < $max {\n      $r: $r + $c;\n    } @else if str-length($g) < $max {\n      $g: $g + $c;\n    } @else if str-length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(_hex-to-dec($r), _hex-to-dec($g), _hex-to-dec($b));\n}\n\n@function _hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: to-lower-case($string);\n  $length: str-length($string);\n\n  $dec: 0;\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: index($hex, str-slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0em 0em 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors*/\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple) {\n  //increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\n\n// Fix for Sphinx's \"highlight\" directive - this is an issue with our accessible pygments theme\n// and the colour we are using for the background of the code blocks.\nhtml[data-theme=\"light\"] .highlight .nf {\n  color: #0078a1 !important;\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child):before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child):after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n  -webkit-user-select: text; /* Safari fallback only */\n  -webkit-user-select: none; /* Chrome/Safari */\n  -moz-user-select: none; /* Firefox */\n  -ms-user-select: none; /* IE10+ */\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-surface);\n\n  //hack to make the text in the blockquote selectable\n  &:before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  color: var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download:before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\n// ensure table will fit in the article width and make them y-scrollable\ntable {\n  display: table;\n  overflow: auto;\n\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-align\\:left {\n    text-align: left;\n  }\n\n  &.text-align\\:right {\n    text-align: right;\n  }\n\n  &.text-align\\:center {\n    text-align: center;\n  }\n}\n\n// override bootstrap background colors\n.table {\n  --bs-table-bg: transparent;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0em;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-direction: row;\n      flex-flow: wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i:before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left:before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right:before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-direction: row;\n      flex-wrap: wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Removes the button background so we more naturally blend with the code cell.\n  background-color: unset;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left:after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #ffffff;\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"heading-color\": (\n    \"light\": #{$foundation-white},\n    \"dark\": #{$foundation-black},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if str-index($key, $mode) != null {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if str-index($key, \"bg\") != null {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n  }\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark):not(.dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark):not(.dark-light) {\n      background: rgb(255, 255, 255);\n      border-radius: 0.25rem;\n    }\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:meta\";\n@use \"sass:color\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n\n$all-colors: map-merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --pst-color-#{$name}-highlight: #{darken($value, 15%)};\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map-get($all-colors, $name);\n      @if type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if str-index($key, $mode) != null {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if str-index($key, \"bg\") != null {\n              --sd-color-#{$name}-bg: #{$value};\n              // create local variable\n              $bg-var: --sd-color-#{$name}-bg;\n              $value: check-color($value);\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map-get($all-colors, $name);\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow();\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  // TODO - --pst-color-panel-background is not defined... where is this coming from?\n  .sd-card-header {\n    background-color: var(--pst-color-panel-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n  .sd-card-footer {\n    background-color: var(--pst-color-panel-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-panel-background);\n  }\n}\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-color: transparent transparent var(--pst-color-primary); // top LR bottom\n      color: var(--pst-color-primary);\n    }\n\n    // Hover label\n    &:not(:checked) + label:hover {\n      border-color: var(--pst-color-secondary);\n      color: var(--pst-color-secondary);\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-text-muted);\n    border-top: 0.125rem solid transparent; // so hover isn't just color change\n    padding-top: 0.5em; // same as bottom padding, so hover overline looks OK\n    // Hovered label\n    html &:hover {\n      color: var(--pst-color-secondary);\n      border-color: var(--pst-color-secondary);\n    }\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0px !important;\n  summary.sd-card-header {\n    border: 0 !important;\n    & + div.sd-summary-content {\n      border: 0;\n    }\n  }\n  // Drop shadow should behave same as admonitions\n  @include box-shadow();\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n    & + div.sd-summary-content {\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n */\n\n.bd-content {\n  // Admonition toggles\n  .admonition {\n    button.toggle-button {\n      color: inherit;\n    }\n  }\n\n  // Details buttons\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  table {\n    table-layout: auto;\n  }\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  .nboutput {\n    .output_area.rendered_html {\n      @include cell-output-background;\n    }\n\n    .output_area.stderr {\n      background: var(--pst-color-danger);\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  div.cell_output {\n    img,\n    .text_html {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 0;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a:before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/docs/_build/html/_static/styles/sphinx-book-theme.css b/docs/_build/html/_static/styles/sphinx-book-theme.css
index e514f24e3..56c23f180 100644
--- a/docs/_build/html/_static/styles/sphinx-book-theme.css
+++ b/docs/_build/html/_static/styles/sphinx-book-theme.css
@@ -5,4 +5,4 @@
  *
  * This follows the 7-1 pattern described here:
  * https://sass-guidelin.es/#architecture
- */html{--pst-font-size-base:none}html[data-theme=light]{--sbt-color-announcement:#616161}html[data-theme=dark],html[data-theme=light]{--pst-color-primary:#579aca}html{scroll-padding-top:4rem}.sbt-scroll-pixel-helper{position:absolute;width:0;height:0;top:0;left:0}.d-n,.onlyprint{display:none}@media print{.onlyprint{display:block!important}}@media print{.noprint{display:none!important}}.bd-article-container h1,.bd-article-container h2,.bd-article-container h3,.bd-article-container h4,.bd-article-container h5,.bd-article-container p.caption{color:var(--pst-color-muted)}.bd-article-container h1,.bd-article-container h2{font-weight:500}a.brackets:before{color:inherit;font-family:inherit;margin-right:0}table{position:relative}@media print{.bd-main .bd-content{margin-left:2rem;height:auto}.bd-main .bd-content #jb-print-docs-body{margin-left:0}.bd-main .bd-content #jb-print-docs-body h1{font-size:3em;text-align:center;margin-bottom:0}.bd-main .bd-content .bd-article{padding-top:0}.bd-main 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div.cell.tag_margin .cell_output,aside.margin div.cell.tag_margin .cell_output,div.margin div.cell.tag_margin .cell_output,figure.margin div.cell.tag_margin .cell_output{padding-left:0}div.figure.margin-caption figcaption,div.figure.margin-caption p.caption,figure.margin-caption figcaption{z-index:2;position:relative;width:40%;float:right;background-color:unset;font-size:.9em;margin-left:.5rem}@media (min-width:992px),print{div.figure.margin-caption figcaption,div.figure.margin-caption p.caption,figure.margin-caption figcaption{width:33%;margin:0 -36% 0 0;clear:right}div.figure.margin-caption figcaption p.sidebar-title,div.figure.margin-caption p.caption p.sidebar-title,figure.margin-caption figcaption p.sidebar-title{margin-bottom:-1rem;border-bottom:none;padding-left:0}div.figure.margin-caption figcaption p.sidebar-title~*,div.figure.margin-caption p.caption p.sidebar-title~*,figure.margin-caption figcaption p.sidebar-title~*{padding-left:0;padding-right:0}}.margin-caption 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\ No newline at end of file
diff --git a/docs/_build/html/_static/webpack-macros.html b/docs/_build/html/_static/webpack-macros.html
index 76b95d8d6..243a8589f 100644
--- a/docs/_build/html/_static/webpack-macros.html
+++ b/docs/_build/html/_static/webpack-macros.html
@@ -4,7 +4,7 @@
 -->
 {# Load FontAwesome icons #}
 {% macro head_pre_icons() %}
-  <link href="{{ pathto('_static/vendor/fontawesome/6.5.1/css/all.min.css', 1) }}?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="{{ pathto('_static/vendor/fontawesome/6.5.1/css/all.min.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2', 1) }}" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2', 1) }}" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2', 1) }}" />
@@ -12,20 +12,20 @@
 
 {% macro head_pre_assets() %}
   <!-- Loaded before other Sphinx assets -->
-  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 {% endmacro %}
 
 {% macro head_js_preload() %}
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=bd9e20870c6007c4c509" />
-  <script src="{{ pathto('_static/vendor/fontawesome/6.5.1/js/all.min.js', 1) }}?digest=bd9e20870c6007c4c509"></script>
+  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8d27b9dea8ad943066ae" />
+  <script src="{{ pathto('_static/vendor/fontawesome/6.5.1/js/all.min.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
 {% endmacro %}
 
 {% macro body_post() %}
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=bd9e20870c6007c4c509"></script>
-<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=bd9e20870c6007c4c509"></script>
+  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
+<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
 {% endmacro %}
\ No newline at end of file
diff --git a/docs/_build/html/datasets.html b/docs/_build/html/datasets.html
index 4b6047437..8a5455557 100644
--- a/docs/_build/html/datasets.html
+++ b/docs/_build/html/datasets.html
@@ -1,13 +1,12 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     <title>Dataset module &#8212; Recommenders documentation</title>
   
@@ -19,54 +18,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
-    <link rel="stylesheet" href="_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
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-    <link rel="stylesheet" type="text/css" href="_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
-    <script src="_static/jquery.js"></script>
-    <script src="_static/underscore.js"></script>
-    <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="_static/doctools.js"></script>
-    <script src="_static/clipboard.min.js"></script>
-    <script src="_static/copybutton.js"></script>
-    <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="_static/tabs.js"></script>
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="_static/togglebutton.js"></script>
+    <script src="_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'datasets';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/datasets.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="Evaluation module" href="evaluation.html" />
@@ -83,7 +86,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -123,21 +125,16 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
       
       
-        
-      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -170,7 +167,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="current nav bd-sidenav">
@@ -375,23 +383,130 @@ <h2> Contents </h2>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#recommendation-datasets">Recommendation datasets</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#amazon-reviews">Amazon Reviews</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cord-19">CORD-19</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#criteo">Criteo</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mind">MIND</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#movielens">MovieLens</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#amazon-reviews">Amazon Reviews</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.data_preprocessing"><code class="docutils literal notranslate"><span class="pre">data_preprocessing()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.download_and_extract"><code class="docutils literal notranslate"><span class="pre">download_and_extract()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.get_review_data"><code class="docutils literal notranslate"><span class="pre">get_review_data()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cord-19">CORD-19</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.clean_dataframe"><code class="docutils literal notranslate"><span class="pre">clean_dataframe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.get_public_domain_text"><code class="docutils literal notranslate"><span class="pre">get_public_domain_text()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.remove_duplicates"><code class="docutils literal notranslate"><span class="pre">remove_duplicates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.remove_nan"><code class="docutils literal notranslate"><span class="pre">remove_nan()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.retrieve_text"><code class="docutils literal notranslate"><span class="pre">retrieve_text()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#criteo">Criteo</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.download_criteo"><code class="docutils literal notranslate"><span class="pre">download_criteo()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.extract_criteo"><code class="docutils literal notranslate"><span class="pre">extract_criteo()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.get_spark_schema"><code class="docutils literal notranslate"><span class="pre">get_spark_schema()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.load_spark_df"><code class="docutils literal notranslate"><span class="pre">load_spark_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mind">MIND</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.download_and_extract_glove"><code class="docutils literal notranslate"><span class="pre">download_and_extract_glove()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.download_mind"><code class="docutils literal notranslate"><span class="pre">download_mind()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.extract_mind"><code class="docutils literal notranslate"><span class="pre">extract_mind()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.generate_embeddings"><code class="docutils literal notranslate"><span class="pre">generate_embeddings()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_train_input"><code class="docutils literal notranslate"><span class="pre">get_train_input()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_user_history"><code class="docutils literal notranslate"><span class="pre">get_user_history()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_valid_input"><code class="docutils literal notranslate"><span class="pre">get_valid_input()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_words_and_entities"><code class="docutils literal notranslate"><span class="pre">get_words_and_entities()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.load_glove_matrix"><code class="docutils literal notranslate"><span class="pre">load_glove_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.read_clickhistory"><code class="docutils literal notranslate"><span class="pre">read_clickhistory()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.word_tokenize"><code class="docutils literal notranslate"><span class="pre">word_tokenize()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#movielens">MovieLens</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.Config"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.Config</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h6 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.Config.name"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.Config.name</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.get_df"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.get_df()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.get_spark_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.download_movielens"><code class="docutils literal notranslate"><span class="pre">download_movielens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.extract_movielens"><code class="docutils literal notranslate"><span class="pre">extract_movielens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_item_df"><code class="docutils literal notranslate"><span class="pre">load_item_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_spark_df"><code class="docutils literal notranslate"><span class="pre">load_spark_df()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.download_utils">Download utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.download_path"><code class="docutils literal notranslate"><span class="pre">download_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.maybe_download"><code class="docutils literal notranslate"><span class="pre">maybe_download()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.unzip_file"><code class="docutils literal notranslate"><span class="pre">unzip_file()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.pandas_df_utils">Pandas dataframe utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter"><code class="docutils literal notranslate"><span class="pre">LibffmConverter</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.field_count"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.field_count</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.feature_count</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.filepath"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.filepath</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.fit_transform()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.get_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.transform"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.transform()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.PandasHash"><code class="docutils literal notranslate"><span class="pre">PandasHash</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.filter_by"><code class="docutils literal notranslate"><span class="pre">filter_by()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.has_columns"><code class="docutils literal notranslate"><span class="pre">has_columns()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.has_same_base_dtype"><code class="docutils literal notranslate"><span class="pre">has_same_base_dtype()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.lru_cache_df"><code class="docutils literal notranslate"><span class="pre">lru_cache_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.negative_feedback_sampler"><code class="docutils literal notranslate"><span class="pre">negative_feedback_sampler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.user_item_pairs"><code class="docutils literal notranslate"><span class="pre">user_item_pairs()</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.download_utils">Download utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.pandas_df_utils">Pandas dataframe utilities</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#splitter-utilities">Splitter utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.python_splitters">Python splitters</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.spark_splitters">PySpark splitters</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.split_utils">Other splitters utilities</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.python_splitters">Python splitters</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.numpy_stratified_split"><code class="docutils literal notranslate"><span class="pre">numpy_stratified_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_chrono_split"><code class="docutils literal notranslate"><span class="pre">python_chrono_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_random_split"><code class="docutils literal notranslate"><span class="pre">python_random_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_stratified_split"><code class="docutils literal notranslate"><span class="pre">python_stratified_split()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.spark_splitters">PySpark splitters</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_chrono_split"><code class="docutils literal notranslate"><span class="pre">spark_chrono_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_random_split"><code class="docutils literal notranslate"><span class="pre">spark_random_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_stratified_split"><code class="docutils literal notranslate"><span class="pre">spark_stratified_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_timestamp_split"><code class="docutils literal notranslate"><span class="pre">spark_timestamp_split()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.split_utils">Other splitters utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.filter_k_core"><code class="docutils literal notranslate"><span class="pre">filter_k_core()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.min_rating_filter_pandas"><code class="docutils literal notranslate"><span class="pre">min_rating_filter_pandas()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.min_rating_filter_spark"><code class="docutils literal notranslate"><span class="pre">min_rating_filter_spark()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.process_split_ratio"><code class="docutils literal notranslate"><span class="pre">process_split_ratio()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.split_pandas_data_with_ratios"><code class="docutils literal notranslate"><span class="pre">split_pandas_data_with_ratios()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.sparse">Sparse utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix.gen_affinity_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix.map_back_sparse()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.wikidata">Knowledge graph utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.find_wikidata_id"><code class="docutils literal notranslate"><span class="pre">find_wikidata_id()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.get_session"><code class="docutils literal notranslate"><span class="pre">get_session()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.query_entity_description"><code class="docutils literal notranslate"><span class="pre">query_entity_description()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.query_entity_links"><code class="docutils literal notranslate"><span class="pre">query_entity_links()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.read_linked_entities"><code class="docutils literal notranslate"><span class="pre">read_linked_entities()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.search_wikidata"><code class="docutils literal notranslate"><span class="pre">search_wikidata()</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.sparse">Sparse utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.wikidata">Knowledge graph utilities</a></li>
 </ul>
             </nav>
         </div>
@@ -404,12 +519,12 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="dataset-module">
-<span id="dataset"></span><h1>Dataset module<a class="headerlink" href="#dataset-module" title="Permalink to this heading">#</a></h1>
+<span id="dataset"></span><h1>Dataset module<a class="headerlink" href="#dataset-module" title="Link to this heading">#</a></h1>
 <p>Recommendation datasets and related utilities</p>
 <section id="recommendation-datasets">
-<h2>Recommendation datasets<a class="headerlink" href="#recommendation-datasets" title="Permalink to this heading">#</a></h2>
+<h2>Recommendation datasets<a class="headerlink" href="#recommendation-datasets" title="Link to this heading">#</a></h2>
 <section id="amazon-reviews">
-<h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink to this heading">#</a></h3>
+<h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Link to this heading">#</a></h3>
 <p><a class="reference external" href="https://snap.stanford.edu/data/web-Amazon.html">Amazon Reviews dataset</a> consists of reviews from Amazon.
 The data span a period of 18 years, including ~35 million reviews up to March 2013. Reviews include product and user
 information, ratings, and a plaintext review.</p>
@@ -419,9 +534,9 @@ <h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink
 RecSys, 2013.</p>
 </dd>
 </dl>
-<span class="target" id="module-recommenders.datasets.amazon_reviews"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.datasets.amazon_reviews">
 <dt class="sig sig-object py" id="recommenders.datasets.amazon_reviews.data_preprocessing">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">data_preprocessing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reviews_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cate_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_history_expanding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#data_preprocessing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.data_preprocessing" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">data_preprocessing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reviews_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cate_vocab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_history_expanding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#data_preprocessing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.data_preprocessing" title="Link to this definition">#</a></dt>
 <dd><p>Create data for training, validation and testing from original dataset</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -435,7 +550,7 @@ <h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.amazon_reviews.download_and_extract">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">download_and_extract</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#download_and_extract"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.download_and_extract" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">download_and_extract</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#download_and_extract"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.download_and_extract" title="Link to this definition">#</a></dt>
 <dd><p>Downloads and extracts Amazon reviews and meta datafiles if they don’t already exist</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -455,7 +570,7 @@ <h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.amazon_reviews.get_review_data">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">get_review_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reviews_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#get_review_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.get_review_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.amazon_reviews.</span></span><span class="sig-name descname"><span class="pre">get_review_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reviews_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/amazon_reviews.html#get_review_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.amazon_reviews.get_review_data" title="Link to this definition">#</a></dt>
 <dd><p>Downloads amazon review data (only), prepares in the required format
 and stores in the same location</p>
 <dl class="field-list simple">
@@ -467,7 +582,7 @@ <h3>Amazon Reviews<a class="headerlink" href="#amazon-reviews" title="Permalink
 
 </section>
 <section id="cord-19">
-<h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this heading">#</a></h3>
+<h3>CORD-19<a class="headerlink" href="#cord-19" title="Link to this heading">#</a></h3>
 <p><a class="reference external" href="https://azure.microsoft.com/en-us/services/open-datasets/catalog/covid-19-open-research/">COVID-19 Open Research Dataset (CORD-19)</a> is a full-text
 and metadata dataset of COVID-19 and coronavirus-related scholarly articles optimized
 for machine readability and made available for use by the global research community.</p>
@@ -483,9 +598,9 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 Funk, K., Kinney, R., Liu, Z., Merrill, W. and Mooney, P. “Cord-19: The COVID-19 Open Research Dataset.”, 2020.</p>
 </dd>
 </dl>
-<span class="target" id="module-recommenders.datasets.covid_utils"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.datasets.covid_utils">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.clean_dataframe">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">clean_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#clean_dataframe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.clean_dataframe" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">clean_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#clean_dataframe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.clean_dataframe" title="Link to this definition">#</a></dt>
 <dd><p>Clean up the dataframe.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -502,7 +617,7 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.get_public_domain_text">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">get_public_domain_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#get_public_domain_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.get_public_domain_text" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">get_public_domain_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#get_public_domain_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.get_public_domain_text" title="Link to this definition">#</a></dt>
 <dd><p>Get all public domain text.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -524,7 +639,7 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.load_pandas_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'covid19temp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata_filename</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'metadata.csv'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.load_pandas_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'covid19temp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata_filename</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'metadata.csv'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.load_pandas_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the Azure Open Research COVID-19 dataset as a pd.DataFrame.</p>
 <p>The Azure COVID-19 Open Research Dataset may be found at <a class="reference external" href="https://azure.microsoft.com/en-us/services/open-datasets/catalog/covid-19-open-research/">https://azure.microsoft.com/en-us/services/open-datasets/catalog/covid-19-open-research/</a></p>
 <dl class="field-list simple">
@@ -547,13 +662,13 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.remove_duplicates">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">remove_duplicates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#remove_duplicates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.remove_duplicates" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">remove_duplicates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#remove_duplicates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.remove_duplicates" title="Link to this definition">#</a></dt>
 <dd><p>Remove duplicated entries.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df</strong> (<em>pd.DataFrame</em>) – Pandas dataframe.</p></li>
-<li><p><strong>cols</strong> (<em>list of str</em>) – Name of columns in which to look for duplicates.</p></li>
+<li><p><strong>cols</strong> (<em>list</em><em> of </em><em>str</em>) – Name of columns in which to look for duplicates.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -567,13 +682,13 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.remove_nan">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">remove_nan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#remove_nan"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.remove_nan" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">remove_nan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#remove_nan"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.remove_nan" title="Link to this definition">#</a></dt>
 <dd><p>Remove rows with NaN values in specified column.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df</strong> (<em>pandas.DataFrame</em>) – Pandas dataframe.</p></li>
-<li><p><strong>cols</strong> (<em>list of str</em>) – Name of columns in which to look for NaN.</p></li>
+<li><p><strong>cols</strong> (<em>list</em><em> of </em><em>str</em>) – Name of columns in which to look for NaN.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -587,7 +702,7 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.covid_utils.retrieve_text">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">retrieve_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#retrieve_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.retrieve_text" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.covid_utils.</span></span><span class="sig-name descname"><span class="pre">retrieve_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_account_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'azureopendatastorage'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">azure_storage_sas_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/covid_utils.html#retrieve_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.covid_utils.retrieve_text" title="Link to this definition">#</a></dt>
 <dd><p>Retrieve body text from article of interest.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -607,14 +722,14 @@ <h3>CORD-19<a class="headerlink" href="#cord-19" title="Permalink to this headin
 
 </section>
 <section id="criteo">
-<h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading">#</a></h3>
+<h3>Criteo<a class="headerlink" href="#criteo" title="Link to this heading">#</a></h3>
 <p><a class="reference external" href="https://www.kaggle.com/c/criteo-display-ad-challenge/overview">Criteo dataset</a>, released by Criteo Labs, is an online advertising dataset that contains feature values and click feedback
 for millions of display Ads. Every Ad has has 40 attributes, the first attribute is the label where a value 1 represents
 that the Ad has been clicked on and a 0 represents it wasn’t clicked on. The rest consist of 13 integer columns and
 26 categorical columns.</p>
-<span class="target" id="module-recommenders.datasets.criteo"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.datasets.criteo">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.download_criteo">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">download_criteo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">work_directory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#download_criteo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.download_criteo" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">download_criteo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">work_directory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#download_criteo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.download_criteo" title="Link to this definition">#</a></dt>
 <dd><p>Download criteo dataset as a compressed file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -634,7 +749,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.extract_criteo">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">extract_criteo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compressed_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#extract_criteo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.extract_criteo" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">extract_criteo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compressed_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#extract_criteo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.extract_criteo" title="Link to this definition">#</a></dt>
 <dd><p>Extract Criteo dataset tar.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -655,7 +770,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.get_spark_schema">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">get_spark_schema</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#get_spark_schema"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.get_spark_schema" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">get_spark_schema</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#get_spark_schema"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.get_spark_schema" title="Link to this definition">#</a></dt>
 <dd><p>Get Spark schema from header.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -672,7 +787,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.load_pandas_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.load_pandas_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.load_pandas_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the Criteo DAC dataset as <cite>pandas.DataFrame</cite>. This function download, untar, and load the dataset.</p>
 <p>The dataset consists of a portion of Criteo’s traffic over a period
 of 24 days. Each row corresponds to a display ad served by Criteo and the first
@@ -705,7 +820,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.criteo.load_spark_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">load_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbfs_datapath</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'dbfs:/FileStore/dac'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbutils</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#load_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.load_spark_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.criteo.</span></span><span class="sig-name descname"><span class="pre">load_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['label',</span> <span class="pre">'int00',</span> <span class="pre">'int01',</span> <span class="pre">'int02',</span> <span class="pre">'int03',</span> <span class="pre">'int04',</span> <span class="pre">'int05',</span> <span class="pre">'int06',</span> <span class="pre">'int07',</span> <span class="pre">'int08',</span> <span class="pre">'int09',</span> <span class="pre">'int10',</span> <span class="pre">'int11',</span> <span class="pre">'int12',</span> <span class="pre">'cat00',</span> <span class="pre">'cat01',</span> <span class="pre">'cat02',</span> <span class="pre">'cat03',</span> <span class="pre">'cat04',</span> <span class="pre">'cat05',</span> <span class="pre">'cat06',</span> <span class="pre">'cat07',</span> <span class="pre">'cat08',</span> <span class="pre">'cat09',</span> <span class="pre">'cat10',</span> <span class="pre">'cat11',</span> <span class="pre">'cat12',</span> <span class="pre">'cat13',</span> <span class="pre">'cat14',</span> <span class="pre">'cat15',</span> <span class="pre">'cat16',</span> <span class="pre">'cat17',</span> <span class="pre">'cat18',</span> <span class="pre">'cat19',</span> <span class="pre">'cat20',</span> <span class="pre">'cat21',</span> <span class="pre">'cat22',</span> <span class="pre">'cat23',</span> <span class="pre">'cat24',</span> <span class="pre">'cat25']</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbfs_datapath</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'dbfs:/FileStore/dac'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbutils</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/criteo.html#load_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.criteo.load_spark_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the Criteo DAC dataset as <cite>pySpark.DataFrame</cite>.</p>
 <p>The dataset consists of a portion of Criteo’s traffic over a period
 of 24 days. Each row corresponds to a display ad served by Criteo and the first
@@ -741,7 +856,7 @@ <h3>Criteo<a class="headerlink" href="#criteo" title="Permalink to this heading"
 
 </section>
 <section id="mind">
-<h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</a></h3>
+<h3>MIND<a class="headerlink" href="#mind" title="Link to this heading">#</a></h3>
 <p><a class="reference external" href="https://msnews.github.io/">MIcrosoft News Dataset (MIND)</a>, is a large-scale dataset for news recommendation research. It was collected from
 anonymized behavior logs of Microsoft News website.</p>
 <p>MIND contains about 160k English news articles and more than 15 million impression logs generated by 1 million users.
@@ -754,9 +869,9 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 and Ming Zhou, “MIND: A Large-scale Dataset for News Recommendation”, ACL, 2020.</p>
 </dd>
 </dl>
-<span class="target" id="module-recommenders.datasets.mind"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.datasets.mind">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.download_and_extract_glove">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">download_and_extract_glove</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#download_and_extract_glove"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.download_and_extract_glove" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">download_and_extract_glove</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#download_and_extract_glove"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.download_and_extract_glove" title="Link to this definition">#</a></dt>
 <dd><p>Download and extract the Glove embedding</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -773,7 +888,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.download_mind">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">download_mind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'small'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#download_mind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.download_mind" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">download_mind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'small'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#download_mind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.download_mind" title="Link to this definition">#</a></dt>
 <dd><p>Download MIND dataset</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -793,7 +908,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.extract_mind">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">extract_mind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_zip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_zip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_folder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'train'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_folder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'valid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clean_zip_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#extract_mind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.extract_mind" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">extract_mind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_zip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_zip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_folder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'train'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_folder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'valid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clean_zip_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#extract_mind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.extract_mind" title="Link to this definition">#</a></dt>
 <dd><p>Extract MIND dataset</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -815,7 +930,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.generate_embeddings">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">generate_embeddings</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">news_words</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">news_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_sentence</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_embedding_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#generate_embeddings"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.generate_embeddings" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">generate_embeddings</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">news_words</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">news_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_entities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_sentence</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_embedding_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#generate_embeddings"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.generate_embeddings" title="Link to this definition">#</a></dt>
 <dd><p>Generate embeddings.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -840,7 +955,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.get_train_input">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_train_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_file_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_train_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_train_input" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_train_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_file_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_train_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_train_input" title="Link to this definition">#</a></dt>
 <dd><p>Generate train file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -855,7 +970,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.get_user_history">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_user_history</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_history_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_user_history"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_user_history" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_user_history</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_history_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_user_history"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_user_history" title="Link to this definition">#</a></dt>
 <dd><p>Generate user history file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -870,7 +985,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.get_valid_input">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_valid_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_valid_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_valid_input" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_valid_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_valid_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_valid_input" title="Link to this definition">#</a></dt>
 <dd><p>Generate validation file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -884,7 +999,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.get_words_and_entities">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_words_and_entities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_news</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_news</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_words_and_entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_words_and_entities" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">get_words_and_entities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_news</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_news</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#get_words_and_entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.get_words_and_entities" title="Link to this definition">#</a></dt>
 <dd><p>Load words and entities</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -904,7 +1019,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.load_glove_matrix">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">load_glove_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path_emb</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_embedding_dim</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#load_glove_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.load_glove_matrix" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">load_glove_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path_emb</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_embedding_dim</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#load_glove_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.load_glove_matrix" title="Link to this definition">#</a></dt>
 <dd><p>Load pretrained embedding metrics of words in word_dict</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -925,7 +1040,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.read_clickhistory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">read_clickhistory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#read_clickhistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.read_clickhistory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">read_clickhistory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#read_clickhistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.read_clickhistory" title="Link to this definition">#</a></dt>
 <dd><p>Read click history file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -949,7 +1064,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.mind.word_tokenize">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">word_tokenize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#word_tokenize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.word_tokenize" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.mind.</span></span><span class="sig-name descname"><span class="pre">word_tokenize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/mind.html#word_tokenize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.mind.word_tokenize" title="Link to this definition">#</a></dt>
 <dd><p>Tokenize a sententence</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -966,7 +1081,7 @@ <h3>MIND<a class="headerlink" href="#mind" title="Permalink to this heading">#</
 
 </section>
 <section id="movielens">
-<h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this heading">#</a></h3>
+<h3>MovieLens<a class="headerlink" href="#movielens" title="Link to this heading">#</a></h3>
 <p>The <a class="reference external" href="https://grouplens.org/datasets/movielens/">MovieLens datasets</a>, first released in 1998,
 describe people’s expressed preferences
 for movies. These preferences take the form of <cite>&lt;user, item, rating, timestamp&gt;</cite> tuples,
@@ -986,9 +1101,9 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 DOI=http://dx.doi.org/10.1145/2827872, 2015.</p>
 </dd>
 </dl>
-<span class="target" id="module-recommenders.datasets.movielens"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.datasets.movielens">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">MockMovielensSchema</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">MockMovielensSchema</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema" title="Link to this definition">#</a></dt>
 <dd><p>Mock dataset schema to generate fake data for testing purpose.
 This schema is configured to mimic the Movielens dataset</p>
 <p><a class="reference external" href="https://files.grouplens.org/datasets/movielens/ml-100k/">https://files.grouplens.org/datasets/movielens/ml-100k/</a></p>
@@ -997,10 +1112,10 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 for more information.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema.Config">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Config</span></span><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.Config" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Config</span></span><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.Config" title="Link to this definition">#</a></dt>
 <dd><dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema.Config.name">
-<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'MockMovielensSchema'</span></em><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.Config.name" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'MockMovielensSchema'</span></em><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.Config.name" title="Link to this definition">#</a></dt>
 <dd><p>name of schema</p>
 </dd></dl>
 
@@ -1008,7 +1123,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema.get_df">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_first_n_cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_title_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_genre_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataFrame</span></span></span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema.get_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.get_df" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_first_n_cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_title_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_genre_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataFrame</span></span></span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema.get_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.get_df" title="Link to this definition">#</a></dt>
 <dd><p>Return fake movielens dataset as a Pandas Dataframe with specified rows.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1031,7 +1146,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.MockMovielensSchema.get_spark_df">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_title_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_genre_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tmp_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema.get_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_title_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_genre_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tmp_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#MockMovielensSchema.get_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df" title="Link to this definition">#</a></dt>
 <dd><p>Return fake movielens dataset as a Spark Dataframe with specified rows</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1059,7 +1174,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.download_movielens">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">download_movielens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#download_movielens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.download_movielens" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">download_movielens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dest_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#download_movielens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.download_movielens" title="Link to this definition">#</a></dt>
 <dd><p>Downloads MovieLens datafile.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1073,7 +1188,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.extract_movielens">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">extract_movielens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zip_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#extract_movielens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.extract_movielens" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">extract_movielens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zip_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#extract_movielens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.extract_movielens" title="Link to this definition">#</a></dt>
 <dd><p>Extract MovieLens rating and item datafiles from the MovieLens raw zip file.</p>
 <p>To extract all files instead of just rating and item datafiles,
 use ZipFile’s extractall(path) instead.</p>
@@ -1091,7 +1206,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.load_item_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_item_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">movie_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_item_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_item_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_item_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">movie_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_item_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_item_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads Movie info.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1117,7 +1232,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.load_pandas_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_pandas_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_pandas_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_pandas_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_pandas_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the MovieLens dataset as pd.DataFrame.</p>
 <p>Download the dataset from <a class="reference external" href="https://files.grouplens.org/datasets/movielens">https://files.grouplens.org/datasets/movielens</a>, unzip, and load.
 To load movie information only, you can use load_item_df function.</p>
@@ -1163,7 +1278,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.movielens.load_spark_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">schema</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbutils</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_spark_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.movielens.</span></span><span class="sig-name descname"><span class="pre">load_spark_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spark</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'100k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">schema</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dbutils</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">genres_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">year_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/movielens.html#load_spark_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.movielens.load_spark_df" title="Link to this definition">#</a></dt>
 <dd><p>Loads the MovieLens dataset as <cite>pyspark.sql.DataFrame</cite>.</p>
 <p>Download the dataset from <a class="reference external" href="https://files.grouplens.org/datasets/movielens">https://files.grouplens.org/datasets/movielens</a>, unzip, and load as <cite>pyspark.sql.DataFrame</cite>.</p>
 <p>To load movie information only, you can use <cite>load_item_df</cite> function.</p>
@@ -1226,10 +1341,10 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 </section>
 </section>
 <section id="module-recommenders.datasets.download_utils">
-<span id="download-utilities"></span><h2>Download utilities<a class="headerlink" href="#module-recommenders.datasets.download_utils" title="Permalink to this heading">#</a></h2>
+<span id="download-utilities"></span><h2>Download utilities<a class="headerlink" href="#module-recommenders.datasets.download_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.download_utils.download_path">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">download_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#download_path"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.download_path" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">download_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#download_path"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.download_path" title="Link to this definition">#</a></dt>
 <dd><p>Return a path to download data. If <cite>path=None</cite>, then it yields a temporal path that is eventually deleted,
 otherwise the real path of the input.</p>
 <dl class="field-list simple">
@@ -1252,7 +1367,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.download_utils.maybe_download">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">maybe_download</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">work_directory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">expected_bytes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#maybe_download"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.maybe_download" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">maybe_download</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">work_directory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">expected_bytes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#maybe_download"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.maybe_download" title="Link to this definition">#</a></dt>
 <dd><p>Download a file if it is not already downloaded.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1274,7 +1389,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.download_utils.unzip_file">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">unzip_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">zip_src</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dst_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clean_zip_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#unzip_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.unzip_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.download_utils.</span></span><span class="sig-name descname"><span class="pre">unzip_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">zip_src</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dst_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clean_zip_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/download_utils.html#unzip_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.download_utils.unzip_file" title="Link to this definition">#</a></dt>
 <dd><p>Unzip a file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1289,10 +1404,10 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 </section>
 <section id="module-recommenders.datasets.pandas_df_utils">
-<span id="pandas-dataframe-utilities"></span><h2>Pandas dataframe utilities<a class="headerlink" href="#module-recommenders.datasets.pandas_df_utils" title="Permalink to this heading">#</a></h2>
+<span id="pandas-dataframe-utilities"></span><h2>Pandas dataframe utilities<a class="headerlink" href="#module-recommenders.datasets.pandas_df_utils" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">LibffmConverter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">LibffmConverter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter" title="Link to this definition">#</a></dt>
 <dd><p>Converts an input dataframe to another dataframe in libffm format. A text file of the converted
 Dataframe is optionally generated.</p>
 <div class="admonition note">
@@ -1323,7 +1438,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 </dl>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.field_count">
-<span class="sig-name descname"><span class="pre">field_count</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.field_count" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">field_count</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.field_count" title="Link to this definition">#</a></dt>
 <dd><p>count of field in the libffm format data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1334,7 +1449,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count">
-<span class="sig-name descname"><span class="pre">feature_count</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">feature_count</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count" title="Link to this definition">#</a></dt>
 <dd><p>count of feature in the libffm format data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1345,7 +1460,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.filepath">
-<span class="sig-name descname"><span class="pre">filepath</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.filepath" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">filepath</span></span><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.filepath" title="Link to this definition">#</a></dt>
 <dd><p>file path where the output is stored - it can be None or a string</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1376,7 +1491,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the dataframe for libffm format.
 This method does nothing but check the validity of the input columns</p>
 <dl class="field-list simple">
@@ -1397,7 +1512,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform">
-<span class="sig-name descname"><span class="pre">fit_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.fit_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.fit_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform" title="Link to this definition">#</a></dt>
 <dd><p>Do fit and transform in a row</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1417,7 +1532,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters (attributes) of the libffm converter</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1431,7 +1546,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.LibffmConverter.transform">
-<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.transform" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#LibffmConverter.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.transform" title="Link to this definition">#</a></dt>
 <dd><p>Tranform an input dataset with the same schema (column names and dtypes) to libffm format
 by using the fitted converter.</p>
 <dl class="field-list simple">
@@ -1451,13 +1566,13 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.PandasHash">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">PandasHash</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pandas_object</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#PandasHash"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.PandasHash" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">PandasHash</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pandas_object</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#PandasHash"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.PandasHash" title="Link to this definition">#</a></dt>
 <dd><p>Wrapper class to allow pandas objects (DataFrames or Series) to be hashable</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.filter_by">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">filter_by</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by_cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#filter_by"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.filter_by" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">filter_by</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by_cols</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#filter_by"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.filter_by" title="Link to this definition">#</a></dt>
 <dd><p>From the input DataFrame <cite>df</cite>, remove the records whose target column <cite>filter_by_cols</cite> values are
 exist in the filter-by DataFrame <cite>filter_by_df</cite>.</p>
 <dl class="field-list simple">
@@ -1465,7 +1580,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df</strong> (<em>pandas.DataFrame</em>) – Source dataframe.</p></li>
 <li><p><strong>filter_by_df</strong> (<em>pandas.DataFrame</em>) – Filter dataframe.</p></li>
-<li><p><strong>filter_by_cols</strong> (<em>iterable of str</em>) – Filter columns.</p></li>
+<li><p><strong>filter_by_cols</strong> (<em>iterable</em><em> of </em><em>str</em>) – Filter columns.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -1479,7 +1594,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.has_columns">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">has_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#has_columns"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.has_columns" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">has_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#has_columns"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.has_columns" title="Link to this definition">#</a></dt>
 <dd><p>Check if DataFrame has necessary columns</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1499,7 +1614,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.has_same_base_dtype">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">has_same_base_dtype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">df_2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#has_same_base_dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.has_same_base_dtype" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">has_same_base_dtype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">df_2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#has_same_base_dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.has_same_base_dtype" title="Link to this definition">#</a></dt>
 <dd><p>Check if specified columns have the same base dtypes across both DataFrames</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1520,7 +1635,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.lru_cache_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">lru_cache_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">maxsize</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#lru_cache_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.lru_cache_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">lru_cache_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">maxsize</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#lru_cache_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.lru_cache_df" title="Link to this definition">#</a></dt>
 <dd><p>Least-recently-used cache decorator for pandas Dataframes.</p>
 <p>Decorator to wrap a function with a memoizing callable that saves up to the maxsize most recent calls. It can
 save time when an expensive or I/O bound function is periodically called with the same arguments.</p>
@@ -1537,7 +1652,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.negative_feedback_sampler">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">negative_feedback_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_label</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'label'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_feedback</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'feedback'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio_neg_per_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#negative_feedback_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.negative_feedback_sampler" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">negative_feedback_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_label</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'label'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_feedback</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'feedback'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio_neg_per_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#negative_feedback_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.negative_feedback_sampler" title="Link to this definition">#</a></dt>
 <dd><p>Utility function to sample negative feedback from user-item interaction dataset.
 This negative sampling function will take the user-item interaction data to create
 binarized feedback, i.e., 1 and 0 indicate positive and negative feedback,
@@ -1594,7 +1709,7 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.pandas_df_utils.user_item_pairs">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">user_item_pairs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_item_filter_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#user_item_pairs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.user_item_pairs" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.pandas_df_utils.</span></span><span class="sig-name descname"><span class="pre">user_item_pairs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_item_filter_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/pandas_df_utils.html#user_item_pairs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.pandas_df_utils.user_item_pairs" title="Link to this definition">#</a></dt>
 <dd><p>Get all pairs of users and items data.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1619,12 +1734,12 @@ <h3>MovieLens<a class="headerlink" href="#movielens" title="Permalink to this he
 
 </section>
 <section id="splitter-utilities">
-<h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Permalink to this heading">#</a></h2>
+<h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Link to this heading">#</a></h2>
 <section id="module-recommenders.datasets.python_splitters">
-<span id="python-splitters"></span><h3>Python splitters<a class="headerlink" href="#module-recommenders.datasets.python_splitters" title="Permalink to this heading">#</a></h3>
+<span id="python-splitters"></span><h3>Python splitters<a class="headerlink" href="#module-recommenders.datasets.python_splitters" title="Link to this heading">#</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.python_splitters.numpy_stratified_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">numpy_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#numpy_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.numpy_stratified_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">numpy_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#numpy_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.numpy_stratified_split" title="Link to this definition">#</a></dt>
 <dd><p>Split the user/item affinity matrix (sparse matrix) into train and test set matrices while maintaining
 local (i.e. per user) ratios.</p>
 <p>Main points :</p>
@@ -1672,7 +1787,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.python_splitters.python_chrono_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_chrono_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_chrono_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_chrono_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_chrono_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_chrono_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_chrono_split" title="Link to this definition">#</a></dt>
 <dd><p>Pandas chronological splitter.</p>
 <p>This function splits data in a chronological manner. That is, for each user / item, the
 split function takes proportions of ratings which is specified by the split ratio(s).
@@ -1706,7 +1821,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.python_splitters.python_random_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_random_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_random_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_random_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_random_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_random_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_random_split" title="Link to this definition">#</a></dt>
 <dd><p>Pandas random splitter.</p>
 <p>The splitter randomly splits the input data.</p>
 <dl class="field-list simple">
@@ -1732,7 +1847,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.python_splitters.python_stratified_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_stratified_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.python_splitters.</span></span><span class="sig-name descname"><span class="pre">python_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/python_splitters.html#python_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.python_splitters.python_stratified_split" title="Link to this definition">#</a></dt>
 <dd><p>Pandas stratified splitter.</p>
 <p>For each user / item, the split function takes proportions of ratings which is
 specified by the split ratio(s). The split is stratified.</p>
@@ -1764,10 +1879,10 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 </section>
 <section id="module-recommenders.datasets.spark_splitters">
-<span id="pyspark-splitters"></span><h3>PySpark splitters<a class="headerlink" href="#module-recommenders.datasets.spark_splitters" title="Permalink to this heading">#</a></h3>
+<span id="pyspark-splitters"></span><h3>PySpark splitters<a class="headerlink" href="#module-recommenders.datasets.spark_splitters" title="Link to this heading">#</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.spark_splitters.spark_chrono_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_chrono_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_partition</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_chrono_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_chrono_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_chrono_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_partition</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_chrono_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_chrono_split" title="Link to this definition">#</a></dt>
 <dd><p>Spark chronological splitter.</p>
 <p>This function splits data in a chronological manner. That is, for each user / item, the
 split function takes proportions of ratings which is specified by the split ratio(s).
@@ -1801,7 +1916,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.spark_splitters.spark_random_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_random_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_random_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_random_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_random_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_random_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_random_split" title="Link to this definition">#</a></dt>
 <dd><p>Spark random splitter.</p>
 <p>Randomly split the data into several splits.</p>
 <dl class="field-list simple">
@@ -1827,7 +1942,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.spark_splitters.spark_stratified_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_stratified_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_stratified_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_stratified_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_stratified_split" title="Link to this definition">#</a></dt>
 <dd><p>Spark stratified splitter.</p>
 <p>For each user / item, the split function takes proportions of ratings which is
 specified by the split ratio(s). The split is stratified.</p>
@@ -1861,7 +1976,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.spark_splitters.spark_timestamp_split">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_timestamp_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_timestamp_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_timestamp_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.spark_splitters.</span></span><span class="sig-name descname"><span class="pre">spark_timestamp_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.75</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/spark_splitters.html#spark_timestamp_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.spark_splitters.spark_timestamp_split" title="Link to this definition">#</a></dt>
 <dd><p>Spark timestamp based splitter.</p>
 <p>The splitter splits the data into sets by timestamps without stratification on either user or item.
 The ratios are applied on the timestamp column which is divided accordingly into several partitions.</p>
@@ -1893,17 +2008,17 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 </section>
 <section id="module-recommenders.datasets.split_utils">
-<span id="other-splitters-utilities"></span><h3>Other splitters utilities<a class="headerlink" href="#module-recommenders.datasets.split_utils" title="Permalink to this heading">#</a></h3>
+<span id="other-splitters-utilities"></span><h3>Other splitters utilities<a class="headerlink" href="#module-recommenders.datasets.split_utils" title="Link to this heading">#</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.filter_k_core">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">filter_k_core</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">core_num</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#filter_k_core"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.filter_k_core" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">filter_k_core</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">core_num</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#filter_k_core"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.filter_k_core" title="Link to this definition">#</a></dt>
 <dd><p>Filter rating dataframe for minimum number of users and items by
 repeatedly applying min_rating_filter until the condition is satisfied.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.min_rating_filter_pandas">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">min_rating_filter_pandas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#min_rating_filter_pandas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.min_rating_filter_pandas" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">min_rating_filter_pandas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#min_rating_filter_pandas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.min_rating_filter_pandas" title="Link to this definition">#</a></dt>
 <dd><p>Filter rating DataFrame for each user with minimum rating.</p>
 <p>Filter rating data frame with minimum number of ratings for user/item is usually useful to
 generate a new data frame with warm user/item. The warmth is defined by min_rating argument. For
@@ -1932,7 +2047,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.min_rating_filter_spark">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">min_rating_filter_spark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#min_rating_filter_spark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.min_rating_filter_spark" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">min_rating_filter_spark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'user'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#min_rating_filter_spark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.min_rating_filter_spark" title="Link to this definition">#</a></dt>
 <dd><p>Filter rating DataFrame for each user with minimum rating.</p>
 <p>Filter rating data frame with minimum number of ratings for user/item is usually useful to
 generate a new data frame with warm user/item. The warmth is defined by min_rating argument. For
@@ -1961,7 +2076,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.process_split_ratio">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">process_split_ratio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ratio</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#process_split_ratio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.process_split_ratio" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">process_split_ratio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ratio</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#process_split_ratio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.process_split_ratio" title="Link to this definition">#</a></dt>
 <dd><p>Generate split ratio lists.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1985,7 +2100,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.split_utils.split_pandas_data_with_ratios">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">split_pandas_data_with_ratios</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratios</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#split_pandas_data_with_ratios"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.split_pandas_data_with_ratios" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.split_utils.</span></span><span class="sig-name descname"><span class="pre">split_pandas_data_with_ratios</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratios</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/split_utils.html#split_pandas_data_with_ratios"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.split_utils.split_pandas_data_with_ratios" title="Link to this definition">#</a></dt>
 <dd><p>Helper function to split pandas DataFrame with given ratios</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1995,7 +2110,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>data</strong> (<em>pandas.DataFrame</em>) – Pandas data frame to be split.</p></li>
-<li><p><strong>ratios</strong> (<em>list of floats</em>) – list of ratios for split. The ratios have to sum to 1.</p></li>
+<li><p><strong>ratios</strong> (<em>list</em><em> of </em><em>floats</em>) – list of ratios for split. The ratios have to sum to 1.</p></li>
 <li><p><strong>seed</strong> (<em>int</em>) – random seed.</p></li>
 <li><p><strong>shuffle</strong> (<em>bool</em>) – whether data will be shuffled when being split.</p></li>
 </ul>
@@ -2012,14 +2127,14 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 </section>
 </section>
 <section id="module-recommenders.datasets.sparse">
-<span id="sparse-utilities"></span><h2>Sparse utilities<a class="headerlink" href="#module-recommenders.datasets.sparse" title="Permalink to this heading">#</a></h2>
+<span id="sparse-utilities"></span><h2>Sparse utilities<a class="headerlink" href="#module-recommenders.datasets.sparse" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.datasets.sparse.AffinityMatrix">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.sparse.</span></span><span class="sig-name descname"><span class="pre">AffinityMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items_list</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_pred</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.datasets.sparse.</span></span><span class="sig-name descname"><span class="pre">AffinityMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items_list</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_pred</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix" title="Link to this definition">#</a></dt>
 <dd><p>Generate the user/item affinity matrix from a pandas dataframe and vice versa</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix">
-<span class="sig-name descname"><span class="pre">gen_affinity_matrix</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix.gen_affinity_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_affinity_matrix</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix.gen_affinity_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix" title="Link to this definition">#</a></dt>
 <dd><p>Generate the user/item affinity matrix.</p>
 <p>As a first step, two new columns are added to the input DF, containing the index maps
 generated by the gen_index() method. The new indices, together with the ratings, are
@@ -2040,7 +2155,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.datasets.sparse.AffinityMatrix.map_back_sparse">
-<span class="sig-name descname"><span class="pre">map_back_sparse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kind</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix.map_back_sparse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">map_back_sparse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kind</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/sparse.html#AffinityMatrix.map_back_sparse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse" title="Link to this definition">#</a></dt>
 <dd><p>Map back the user/affinity matrix to a pd dataframe</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2062,10 +2177,10 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 </section>
 <section id="module-recommenders.datasets.wikidata">
-<span id="knowledge-graph-utilities"></span><h2>Knowledge graph utilities<a class="headerlink" href="#module-recommenders.datasets.wikidata" title="Permalink to this heading">#</a></h2>
+<span id="knowledge-graph-utilities"></span><h2>Knowledge graph utilities<a class="headerlink" href="#module-recommenders.datasets.wikidata" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.find_wikidata_id">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">find_wikidata_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#find_wikidata_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.find_wikidata_id" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">find_wikidata_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#find_wikidata_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.find_wikidata_id" title="Link to this definition">#</a></dt>
 <dd><p>Find the entity ID in wikidata from a title string.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2086,7 +2201,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.get_session">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">get_session</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#get_session"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.get_session" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">get_session</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#get_session"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.get_session" title="Link to this definition">#</a></dt>
 <dd><p>Get session object</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2103,7 +2218,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.query_entity_description">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">query_entity_description</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entity_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#query_entity_description"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.query_entity_description" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">query_entity_description</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entity_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#query_entity_description"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.query_entity_description" title="Link to this definition">#</a></dt>
 <dd><p>Query entity wikidata description from entityID</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2124,7 +2239,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.query_entity_links">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">query_entity_links</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entity_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#query_entity_links"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.query_entity_links" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">query_entity_links</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entity_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">session</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#query_entity_links"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.query_entity_links" title="Link to this definition">#</a></dt>
 <dd><p>Query all linked pages from a wikidata entityID</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2144,7 +2259,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.read_linked_entities">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">read_linked_entities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#read_linked_entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.read_linked_entities" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">read_linked_entities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#read_linked_entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.read_linked_entities" title="Link to this definition">#</a></dt>
 <dd><p>Obtain lists of liken entities (IDs and names) from dictionary</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2165,7 +2280,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.datasets.wikidata.search_wikidata">
-<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">search_wikidata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">names</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">describe</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#search_wikidata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.search_wikidata" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.datasets.wikidata.</span></span><span class="sig-name descname"><span class="pre">search_wikidata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">names</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">describe</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/datasets/wikidata.html#search_wikidata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.datasets.wikidata.search_wikidata" title="Link to this definition">#</a></dt>
 <dd><p>Create DataFrame of Wikidata search results</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2253,23 +2368,130 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#recommendation-datasets">Recommendation datasets</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#amazon-reviews">Amazon Reviews</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cord-19">CORD-19</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#criteo">Criteo</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mind">MIND</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#movielens">MovieLens</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#amazon-reviews">Amazon Reviews</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.data_preprocessing"><code class="docutils literal notranslate"><span class="pre">data_preprocessing()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.download_and_extract"><code class="docutils literal notranslate"><span class="pre">download_and_extract()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.amazon_reviews.get_review_data"><code class="docutils literal notranslate"><span class="pre">get_review_data()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cord-19">CORD-19</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.clean_dataframe"><code class="docutils literal notranslate"><span class="pre">clean_dataframe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.get_public_domain_text"><code class="docutils literal notranslate"><span class="pre">get_public_domain_text()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.remove_duplicates"><code class="docutils literal notranslate"><span class="pre">remove_duplicates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.remove_nan"><code class="docutils literal notranslate"><span class="pre">remove_nan()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.covid_utils.retrieve_text"><code class="docutils literal notranslate"><span class="pre">retrieve_text()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#criteo">Criteo</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.download_criteo"><code class="docutils literal notranslate"><span class="pre">download_criteo()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.extract_criteo"><code class="docutils literal notranslate"><span class="pre">extract_criteo()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.get_spark_schema"><code class="docutils literal notranslate"><span class="pre">get_spark_schema()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.criteo.load_spark_df"><code class="docutils literal notranslate"><span class="pre">load_spark_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mind">MIND</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.download_and_extract_glove"><code class="docutils literal notranslate"><span class="pre">download_and_extract_glove()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.download_mind"><code class="docutils literal notranslate"><span class="pre">download_mind()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.extract_mind"><code class="docutils literal notranslate"><span class="pre">extract_mind()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.generate_embeddings"><code class="docutils literal notranslate"><span class="pre">generate_embeddings()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_train_input"><code class="docutils literal notranslate"><span class="pre">get_train_input()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_user_history"><code class="docutils literal notranslate"><span class="pre">get_user_history()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_valid_input"><code class="docutils literal notranslate"><span class="pre">get_valid_input()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.get_words_and_entities"><code class="docutils literal notranslate"><span class="pre">get_words_and_entities()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.load_glove_matrix"><code class="docutils literal notranslate"><span class="pre">load_glove_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.read_clickhistory"><code class="docutils literal notranslate"><span class="pre">read_clickhistory()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.mind.word_tokenize"><code class="docutils literal notranslate"><span class="pre">word_tokenize()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#movielens">MovieLens</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.Config"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.Config</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h6 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.Config.name"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.Config.name</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.get_df"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.get_df()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.MockMovielensSchema.get_spark_df"><code class="docutils literal notranslate"><span class="pre">MockMovielensSchema.get_spark_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.download_movielens"><code class="docutils literal notranslate"><span class="pre">download_movielens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.extract_movielens"><code class="docutils literal notranslate"><span class="pre">extract_movielens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_item_df"><code class="docutils literal notranslate"><span class="pre">load_item_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_pandas_df"><code class="docutils literal notranslate"><span class="pre">load_pandas_df()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.movielens.load_spark_df"><code class="docutils literal notranslate"><span class="pre">load_spark_df()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.download_utils">Download utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.download_path"><code class="docutils literal notranslate"><span class="pre">download_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.maybe_download"><code class="docutils literal notranslate"><span class="pre">maybe_download()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.download_utils.unzip_file"><code class="docutils literal notranslate"><span class="pre">unzip_file()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.pandas_df_utils">Pandas dataframe utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter"><code class="docutils literal notranslate"><span class="pre">LibffmConverter</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.field_count"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.field_count</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.feature_count"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.feature_count</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.filepath"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.filepath</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.fit_transform"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.fit_transform()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.get_params"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.get_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.LibffmConverter.transform"><code class="docutils literal notranslate"><span class="pre">LibffmConverter.transform()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.PandasHash"><code class="docutils literal notranslate"><span class="pre">PandasHash</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.filter_by"><code class="docutils literal notranslate"><span class="pre">filter_by()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.has_columns"><code class="docutils literal notranslate"><span class="pre">has_columns()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.has_same_base_dtype"><code class="docutils literal notranslate"><span class="pre">has_same_base_dtype()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.lru_cache_df"><code class="docutils literal notranslate"><span class="pre">lru_cache_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.negative_feedback_sampler"><code class="docutils literal notranslate"><span class="pre">negative_feedback_sampler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.pandas_df_utils.user_item_pairs"><code class="docutils literal notranslate"><span class="pre">user_item_pairs()</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.download_utils">Download utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.pandas_df_utils">Pandas dataframe utilities</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#splitter-utilities">Splitter utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.python_splitters">Python splitters</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.spark_splitters">PySpark splitters</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.split_utils">Other splitters utilities</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.python_splitters">Python splitters</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.numpy_stratified_split"><code class="docutils literal notranslate"><span class="pre">numpy_stratified_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_chrono_split"><code class="docutils literal notranslate"><span class="pre">python_chrono_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_random_split"><code class="docutils literal notranslate"><span class="pre">python_random_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.python_splitters.python_stratified_split"><code class="docutils literal notranslate"><span class="pre">python_stratified_split()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.spark_splitters">PySpark splitters</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_chrono_split"><code class="docutils literal notranslate"><span class="pre">spark_chrono_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_random_split"><code class="docutils literal notranslate"><span class="pre">spark_random_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_stratified_split"><code class="docutils literal notranslate"><span class="pre">spark_stratified_split()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.spark_splitters.spark_timestamp_split"><code class="docutils literal notranslate"><span class="pre">spark_timestamp_split()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.split_utils">Other splitters utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.filter_k_core"><code class="docutils literal notranslate"><span class="pre">filter_k_core()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.min_rating_filter_pandas"><code class="docutils literal notranslate"><span class="pre">min_rating_filter_pandas()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.min_rating_filter_spark"><code class="docutils literal notranslate"><span class="pre">min_rating_filter_spark()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.process_split_ratio"><code class="docutils literal notranslate"><span class="pre">process_split_ratio()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.split_utils.split_pandas_data_with_ratios"><code class="docutils literal notranslate"><span class="pre">split_pandas_data_with_ratios()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.sparse">Sparse utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix.gen_affinity_matrix"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix.gen_affinity_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.sparse.AffinityMatrix.map_back_sparse"><code class="docutils literal notranslate"><span class="pre">AffinityMatrix.map_back_sparse()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.wikidata">Knowledge graph utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.find_wikidata_id"><code class="docutils literal notranslate"><span class="pre">find_wikidata_id()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.get_session"><code class="docutils literal notranslate"><span class="pre">get_session()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.query_entity_description"><code class="docutils literal notranslate"><span class="pre">query_entity_description()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.query_entity_links"><code class="docutils literal notranslate"><span class="pre">query_entity_links()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.read_linked_entities"><code class="docutils literal notranslate"><span class="pre">read_linked_entities()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.datasets.wikidata.search_wikidata"><code class="docutils literal notranslate"><span class="pre">search_wikidata()</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.sparse">Sparse utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.datasets.wikidata">Knowledge graph utilities</a></li>
 </ul>
   </nav></div>
 
@@ -2294,7 +2516,7 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -2318,8 +2540,8 @@ <h2>Splitter utilities<a class="headerlink" href="#splitter-utilities" title="Pe
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diff --git a/docs/_build/html/evaluation.html b/docs/_build/html/evaluation.html
index 2bfe38bd4..ef34f80d2 100644
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+++ b/docs/_build/html/evaluation.html
@@ -1,13 +1,12 @@
 
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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@@ -374,8 +382,73 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.python_evaluation">Python evaluation</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.spark_evaluation">PySpark evaluation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.python_evaluation">Python evaluation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError"><code class="docutils literal notranslate"><span class="pre">ColumnMismatchError</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError.message"><code class="docutils literal notranslate"><span class="pre">ColumnMismatchError.message</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError"><code class="docutils literal notranslate"><span class="pre">ColumnTypeMismatchError</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message"><code class="docutils literal notranslate"><span class="pre">ColumnTypeMismatchError.message</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.auc"><code class="docutils literal notranslate"><span class="pre">auc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.catalog_coverage"><code class="docutils literal notranslate"><span class="pre">catalog_coverage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.distributional_coverage"><code class="docutils literal notranslate"><span class="pre">distributional_coverage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.diversity"><code class="docutils literal notranslate"><span class="pre">diversity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.exp_var"><code class="docutils literal notranslate"><span class="pre">exp_var()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.get_top_k_items"><code class="docutils literal notranslate"><span class="pre">get_top_k_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.historical_item_novelty"><code class="docutils literal notranslate"><span class="pre">historical_item_novelty()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.logloss"><code class="docutils literal notranslate"><span class="pre">logloss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.mae"><code class="docutils literal notranslate"><span class="pre">mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.map"><code class="docutils literal notranslate"><span class="pre">map()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.map_at_k"><code class="docutils literal notranslate"><span class="pre">map_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.merge_ranking_true_pred"><code class="docutils literal notranslate"><span class="pre">merge_ranking_true_pred()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.merge_rating_true_pred"><code class="docutils literal notranslate"><span class="pre">merge_rating_true_pred()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ndcg_at_k"><code class="docutils literal notranslate"><span class="pre">ndcg_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.novelty"><code class="docutils literal notranslate"><span class="pre">novelty()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.precision_at_k"><code class="docutils literal notranslate"><span class="pre">precision_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.recall_at_k"><code class="docutils literal notranslate"><span class="pre">recall_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.rmse"><code class="docutils literal notranslate"><span class="pre">rmse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.rsquared"><code class="docutils literal notranslate"><span class="pre">rsquared()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.serendipity"><code class="docutils literal notranslate"><span class="pre">serendipity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_diversity"><code class="docutils literal notranslate"><span class="pre">user_diversity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_item_serendipity"><code class="docutils literal notranslate"><span class="pre">user_item_serendipity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_serendipity"><code class="docutils literal notranslate"><span class="pre">user_serendipity()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.spark_evaluation">PySpark evaluation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.catalog_coverage()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.distributional_coverage()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.diversity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.historical_item_novelty()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.novelty()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.serendipity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_diversity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_item_serendipity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_serendipity()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.map()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.map_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.ndcg_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.precision_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.recall_at_k()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.exp_var()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.mae()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.rmse()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.rsquared()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
 </ul>
             </nav>
         </div>
@@ -388,18 +461,18 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="evaluation-module">
-<span id="evaluation"></span><h1>Evaluation module<a class="headerlink" href="#evaluation-module" title="Permalink to this heading">#</a></h1>
+<span id="evaluation"></span><h1>Evaluation module<a class="headerlink" href="#evaluation-module" title="Link to this heading">#</a></h1>
 <section id="module-recommenders.evaluation.python_evaluation">
-<span id="python-evaluation"></span><h2>Python evaluation<a class="headerlink" href="#module-recommenders.evaluation.python_evaluation" title="Permalink to this heading">#</a></h2>
+<span id="python-evaluation"></span><h2>Python evaluation<a class="headerlink" href="#module-recommenders.evaluation.python_evaluation" title="Link to this heading">#</a></h2>
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ColumnMismatchError">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ColumnMismatchError</span></span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ColumnMismatchError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ColumnMismatchError</span></span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ColumnMismatchError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised when there is a mismatch in columns.</p>
 <p>This exception is raised when an operation involving columns
 encounters a mismatch or inconsistency.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ColumnMismatchError.message">
-<span class="sig-name descname"><span class="pre">message</span></span><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError.message" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">message</span></span><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError.message" title="Link to this definition">#</a></dt>
 <dd><p>Explanation of the error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -412,13 +485,13 @@ <h2> Contents </h2>
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ColumnTypeMismatchError">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ColumnTypeMismatchError</span></span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ColumnTypeMismatchError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ColumnTypeMismatchError</span></span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ColumnTypeMismatchError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised when there is a mismatch in column types.</p>
 <p>This exception is raised when an operation involving column types
 encounters a mismatch or inconsistency.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message">
-<span class="sig-name descname"><span class="pre">message</span></span><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">message</span></span><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message" title="Link to this definition">#</a></dt>
 <dd><p>Explanation of the error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -431,7 +504,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.auc">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">auc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#auc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.auc" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">auc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#auc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.auc" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the Area-Under-Curve metric for implicit feedback typed
 recommender, where rating is binary and prediction is float number ranging
 from 0 to 1.</p>
@@ -465,7 +538,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.catalog_coverage">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">catalog_coverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#catalog_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.catalog_coverage" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">catalog_coverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#catalog_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.catalog_coverage" title="Link to this definition">#</a></dt>
 <dd><p>Calculate catalog coverage for recommendations across all users.
 The metric definition is based on the “catalog coverage” definition in the following reference:</p>
 <dl class="field-list simple">
@@ -495,7 +568,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.distributional_coverage">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">distributional_coverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#distributional_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.distributional_coverage" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">distributional_coverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#distributional_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.distributional_coverage" title="Link to this definition">#</a></dt>
 <dd><p>Calculate distributional coverage for recommendations across all users.
 The metric definition is based on formula (21) in the following reference:</p>
 <dl class="field-list simple">
@@ -525,7 +598,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.diversity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">diversity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.diversity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">diversity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.diversity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average diversity of recommendations across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -556,7 +629,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.exp_var">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">exp_var</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#exp_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.exp_var" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">exp_var</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#exp_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.exp_var" title="Link to this definition">#</a></dt>
 <dd><p>Calculate explained variance.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -580,7 +653,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.get_top_k_items">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">get_top_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataframe</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#get_top_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.get_top_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">get_top_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataframe</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#get_top_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.get_top_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Get the input customer-item-rating tuple in the format of Pandas
 DataFrame, output a Pandas DataFrame in the dense format of top k items
 for each user.</p>
@@ -611,7 +684,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.historical_item_novelty">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">historical_item_novelty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#historical_item_novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.historical_item_novelty" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">historical_item_novelty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#historical_item_novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.historical_item_novelty" title="Link to this definition">#</a></dt>
 <dd><p>Calculate novelty for each item. Novelty is computed as the minus logarithm of
 (number of interactions with item / total number of interactions). The definition of the metric
 is based on the following reference using the choice model (eqs. 1 and 6):</p>
@@ -649,7 +722,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.logloss">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">logloss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#logloss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.logloss" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">logloss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#logloss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.logloss" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the logloss metric for implicit feedback typed
 recommender, where rating is binary and prediction is float number ranging
 from 0 to 1.</p>
@@ -676,7 +749,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.mae">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#mae"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.mae" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#mae"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.mae" title="Link to this definition">#</a></dt>
 <dd><p>Calculate Mean Absolute Error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -700,7 +773,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.map">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.map" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.map" title="Link to this definition">#</a></dt>
 <dd><p>Mean Average Precision for top k prediction items</p>
 <p>The implementation of MAP is referenced from Spark MLlib evaluation metrics.
 <a class="reference external" href="https://spark.apache.org/docs/2.3.0/mllib-evaluation-metrics.html#ranking-systems">https://spark.apache.org/docs/2.3.0/mllib-evaluation-metrics.html#ranking-systems</a></p>
@@ -736,7 +809,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.map_at_k">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">map_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#map_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.map_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">map_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#map_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.map_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Mean Average Precision at k</p>
 <p>The implementation of MAP&#64;k is referenced from Spark MLlib evaluation metrics.
 <a class="github reference external" href="https://github.com/apache/spark/blob/b938ff9f520fd4e4997938284ffa0aba9ea271fc/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala#L99">apache/spark</a></p>
@@ -765,7 +838,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.merge_ranking_true_pred">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">merge_ranking_true_pred</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#merge_ranking_true_pred"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.merge_ranking_true_pred" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">merge_ranking_true_pred</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#merge_ranking_true_pred"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.merge_ranking_true_pred" title="Link to this definition">#</a></dt>
 <dd><p>Filter truth and prediction data frames on common users</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -793,7 +866,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.merge_rating_true_pred">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">merge_rating_true_pred</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#merge_rating_true_pred"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.merge_rating_true_pred" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">merge_rating_true_pred</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#merge_rating_true_pred"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.merge_rating_true_pred" title="Link to this definition">#</a></dt>
 <dd><p>Join truth and prediction data frames on userID and itemID and return the true
 and predicted rated with the correct index.</p>
 <dl class="field-list simple">
@@ -819,7 +892,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ndcg_at_k">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ndcg_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'binary'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">discfun_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'loge'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ndcg_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ndcg_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ndcg_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'binary'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">discfun_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'loge'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ndcg_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ndcg_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Normalized Discounted Cumulative Gain (nDCG).</p>
 <p>Info: <a class="reference external" href="https://en.wikipedia.org/wiki/Discounted_cumulative_gain">https://en.wikipedia.org/wiki/Discounted_cumulative_gain</a></p>
 <dl class="field-list simple">
@@ -852,7 +925,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.novelty">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">novelty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.novelty" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">novelty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.novelty" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the average novelty in a list of recommended items (this assumes that the recommendation list
 is already computed). Follows section 5 from</p>
 <dl class="field-list simple">
@@ -882,7 +955,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.precision_at_k">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">precision_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#precision_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.precision_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">precision_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#precision_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.precision_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Precision at K.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -917,7 +990,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.recall_at_k">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">recall_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#recall_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.recall_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">recall_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#recall_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.recall_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Recall at K.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -945,7 +1018,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.rmse">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#rmse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.rmse" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#rmse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.rmse" title="Link to this definition">#</a></dt>
 <dd><p>Calculate Root Mean Squared Error</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -969,7 +1042,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.rsquared">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">rsquared</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#rsquared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.rsquared" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">rsquared</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#rsquared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.rsquared" title="Link to this definition">#</a></dt>
 <dd><p>Calculate R squared</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -993,7 +1066,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.serendipity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average serendipity for recommendations across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1025,7 +1098,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.user_diversity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_diversity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_diversity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_diversity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_diversity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average diversity of recommendations for each user.
 The metric definition is based on formula (3) in the following reference:</p>
 <dl class="field-list simple">
@@ -1061,7 +1134,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.user_item_serendipity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_item_serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_item_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_item_serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_item_serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_item_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_item_serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate serendipity of each item in the recommendations for each user.
 The metric definition is based on the following references:</p>
 <dl class="field-list simple">
@@ -1102,7 +1175,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.user_serendipity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average serendipity for each user’s recommendations.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1134,14 +1207,14 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.evaluation.spark_evaluation">
-<span id="pyspark-evaluation"></span><h2>PySpark evaluation<a class="headerlink" href="#module-recommenders.evaluation.spark_evaluation" title="Permalink to this heading">#</a></h2>
+<span id="pyspark-evaluation"></span><h2>PySpark evaluation<a class="headerlink" href="#module-recommenders.evaluation.spark_evaluation" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkDiversityEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkDiversityEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation" title="Link to this definition">#</a></dt>
 <dd><p>Spark Evaluator for diversity, coverage, novelty, serendipity</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializer.</p>
 <p>This is the Spark version of diversity metrics evaluator.
 The methods of this class calculate the following diversity metrics:</p>
@@ -1197,7 +1270,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage">
-<span class="sig-name descname"><span class="pre">catalog_coverage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.catalog_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">catalog_coverage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.catalog_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage" title="Link to this definition">#</a></dt>
 <dd><p>Calculate catalog coverage for recommendations across all users.
 The metric definition is based on the “catalog coverage” definition in the following reference:</p>
 <dl class="field-list simple">
@@ -1216,7 +1289,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage">
-<span class="sig-name descname"><span class="pre">distributional_coverage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.distributional_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">distributional_coverage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.distributional_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage" title="Link to this definition">#</a></dt>
 <dd><p>Calculate distributional coverage for recommendations across all users.
 The metric definition is based on formula (21) in the following reference:</p>
 <dl class="field-list simple">
@@ -1235,7 +1308,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity">
-<span class="sig-name descname"><span class="pre">diversity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">diversity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average diversity of recommendations across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1249,7 +1322,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty">
-<span class="sig-name descname"><span class="pre">historical_item_novelty</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.historical_item_novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">historical_item_novelty</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.historical_item_novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty" title="Link to this definition">#</a></dt>
 <dd><p>Calculate novelty for each item. Novelty is computed as the minus logarithm of
 (number of interactions with item / total number of interactions). The definition of the metric
 is based on the following reference using the choice model (eqs. 1 and 6):</p>
@@ -1276,7 +1349,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty">
-<span class="sig-name descname"><span class="pre">novelty</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">novelty</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the average novelty in a list of recommended items (this assumes that the recommendation list
 is already computed). Follows section 5 from</p>
 <dl class="field-list simple">
@@ -1295,7 +1368,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity">
-<span class="sig-name descname"><span class="pre">serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average serendipity for recommendations across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1309,7 +1382,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity">
-<span class="sig-name descname"><span class="pre">user_diversity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_diversity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average diversity of recommendations for each user.
 The metric definition is based on formula (3) in the following reference:</p>
 <dl class="field-list simple">
@@ -1328,7 +1401,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity">
-<span class="sig-name descname"><span class="pre">user_item_serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_item_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_item_serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_item_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate serendipity of each item in the recommendations for each user.
 The metric definition is based on the following references:</p>
 <dl class="field-list">
@@ -1349,7 +1422,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity">
-<span class="sig-name descname"><span class="pre">user_serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average serendipity for each user’s recommendations.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1365,11 +1438,11 @@ <h2> Contents </h2>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkRankingEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkRankingEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation" title="Link to this definition">#</a></dt>
 <dd><p>Spark Ranking Evaluator</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization.
 This is the Spark version of ranking metrics evaluator.
 The methods of this class, calculate ranking metrics such as precision&#64;k, recall&#64;k, ndcg&#64;k, and mean average
@@ -1401,7 +1474,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map">
-<span class="sig-name descname"><span class="pre">map</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">map</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map" title="Link to this definition">#</a></dt>
 <dd><p>Get mean average precision.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1415,7 +1488,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k">
-<span class="sig-name descname"><span class="pre">map_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.map_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">map_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.map_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Get mean average precision at k.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1433,7 +1506,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k">
-<span class="sig-name descname"><span class="pre">ndcg_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.ndcg_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ndcg_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.ndcg_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Get Normalized Discounted Cumulative Gain (NDCG)</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1452,7 +1525,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k">
-<span class="sig-name descname"><span class="pre">precision_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.precision_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">precision_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.precision_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Get precision&#64;k.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1471,7 +1544,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k">
-<span class="sig-name descname"><span class="pre">recall_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.recall_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recall_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.recall_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Get recall&#64;K.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1492,11 +1565,11 @@ <h2> Contents </h2>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkRatingEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkRatingEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation" title="Link to this definition">#</a></dt>
 <dd><p>Spark Rating Evaluator</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializer.</p>
 <p>This is the Spark version of rating metrics evaluator.
 The methods of this class, calculate rating metrics such as root mean squared error, mean absolute error,
@@ -1517,7 +1590,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var">
-<span class="sig-name descname"><span class="pre">exp_var</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.exp_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">exp_var</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.exp_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var" title="Link to this definition">#</a></dt>
 <dd><p>Calculate explained variance.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1535,7 +1608,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae">
-<span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.mae"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.mae"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae" title="Link to this definition">#</a></dt>
 <dd><p>Calculate Mean Absolute Error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1549,7 +1622,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse">
-<span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.rmse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.rmse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse" title="Link to this definition">#</a></dt>
 <dd><p>Calculate Root Mean Squared Error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1563,7 +1636,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared">
-<span class="sig-name descname"><span class="pre">rsquared</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.rsquared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">rsquared</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.rsquared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared" title="Link to this definition">#</a></dt>
 <dd><p>Calculate R squared.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1644,8 +1717,73 @@ <h2> Contents </h2>
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.python_evaluation">Python evaluation</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.spark_evaluation">PySpark evaluation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.python_evaluation">Python evaluation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError"><code class="docutils literal notranslate"><span class="pre">ColumnMismatchError</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError.message"><code class="docutils literal notranslate"><span class="pre">ColumnMismatchError.message</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError"><code class="docutils literal notranslate"><span class="pre">ColumnTypeMismatchError</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message"><code class="docutils literal notranslate"><span class="pre">ColumnTypeMismatchError.message</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.auc"><code class="docutils literal notranslate"><span class="pre">auc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.catalog_coverage"><code class="docutils literal notranslate"><span class="pre">catalog_coverage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.distributional_coverage"><code class="docutils literal notranslate"><span class="pre">distributional_coverage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.diversity"><code class="docutils literal notranslate"><span class="pre">diversity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.exp_var"><code class="docutils literal notranslate"><span class="pre">exp_var()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.get_top_k_items"><code class="docutils literal notranslate"><span class="pre">get_top_k_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.historical_item_novelty"><code class="docutils literal notranslate"><span class="pre">historical_item_novelty()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.logloss"><code class="docutils literal notranslate"><span class="pre">logloss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.mae"><code class="docutils literal notranslate"><span class="pre">mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.map"><code class="docutils literal notranslate"><span class="pre">map()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.map_at_k"><code class="docutils literal notranslate"><span class="pre">map_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.merge_ranking_true_pred"><code class="docutils literal notranslate"><span class="pre">merge_ranking_true_pred()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.merge_rating_true_pred"><code class="docutils literal notranslate"><span class="pre">merge_rating_true_pred()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ndcg_at_k"><code class="docutils literal notranslate"><span class="pre">ndcg_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.novelty"><code class="docutils literal notranslate"><span class="pre">novelty()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.precision_at_k"><code class="docutils literal notranslate"><span class="pre">precision_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.recall_at_k"><code class="docutils literal notranslate"><span class="pre">recall_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.rmse"><code class="docutils literal notranslate"><span class="pre">rmse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.rsquared"><code class="docutils literal notranslate"><span class="pre">rsquared()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.serendipity"><code class="docutils literal notranslate"><span class="pre">serendipity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_diversity"><code class="docutils literal notranslate"><span class="pre">user_diversity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_item_serendipity"><code class="docutils literal notranslate"><span class="pre">user_item_serendipity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_serendipity"><code class="docutils literal notranslate"><span class="pre">user_serendipity()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.spark_evaluation">PySpark evaluation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.catalog_coverage()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.distributional_coverage()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.diversity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.historical_item_novelty()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.novelty()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.serendipity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_diversity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_item_serendipity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_serendipity()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.map()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.map_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.ndcg_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.precision_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.recall_at_k()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.exp_var()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.mae()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.rmse()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.rsquared()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
 </ul>
   </nav></div>
 
@@ -1670,7 +1808,7 @@ <h2> Contents </h2>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -1694,8 +1832,8 @@ <h2> Contents </h2>
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diff --git a/docs/_build/html/genindex.html b/docs/_build/html/genindex.html
index f3613276a..88969b2b4 100644
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@@ -1,9 +1,8 @@
 
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
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 <ul class="nav bd-sidenav">
@@ -2527,7 +2537,7 @@ <h2 id="X">X</h2>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
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@@ -2551,8 +2561,8 @@ <h2 id="X">X</h2>
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diff --git a/docs/_build/html/intro.html b/docs/_build/html/intro.html
index 29a2258b3..73f7046e8 100644
--- a/docs/_build/html/intro.html
+++ b/docs/_build/html/intro.html
@@ -1,13 +1,12 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     <title>Welcome to Recommenders &#8212; Recommenders documentation</title>
   
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+    <script src="_static/togglebutton.js?v=4a39c7ea"></script>
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+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
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     <link rel="next" title="Dataset module" href="datasets.html" />
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 </form></div>
   </div>
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-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
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     <div class="bd-container__inner bd-page-width">
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 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
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 Licensed under the MIT License.
 -->
 <section class="tex2jax_ignore mathjax_ignore" id="welcome-to-recommenders">
-<h1>Welcome to Recommenders<a class="headerlink" href="#welcome-to-recommenders" title="Permalink to this heading">#</a></h1>
+<h1>Welcome to Recommenders<a class="headerlink" href="#welcome-to-recommenders" title="Link to this heading">#</a></h1>
 <p>Recommenders objective is to assist researchers, developers and enthusiasts in prototyping, experimenting with and bringing to production a range of classic and state-of-the-art recommendation systems.</p>
 <aside class="margin sidebar">
 <p class="sidebar-title"></p>
@@ -473,7 +483,7 @@ <h1>Welcome to Recommenders<a class="headerlink" href="#welcome-to-recommenders"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -497,8 +507,8 @@ <h1>Welcome to Recommenders<a class="headerlink" href="#welcome-to-recommenders"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/docs/_build/html/models.html b/docs/_build/html/models.html
index 71f2daa80..ea2bcaa21 100644
--- a/docs/_build/html/models.html
+++ b/docs/_build/html/models.html
@@ -1,13 +1,12 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
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+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
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+    <script src="_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
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+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="genindex.html" />
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@@ -172,7 +169,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="current nav bd-sidenav">
@@ -376,50 +384,623 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.cornac.cornac_utils">Cornac utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.cornac.cornac_utils">Cornac utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.cornac.cornac_utils.predict"><code class="docutils literal notranslate"><span class="pre">predict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.cornac.cornac_utils.predict_ranking"><code class="docutils literal notranslate"><span class="pre">predict_ranking()</span></code></a></li>
+</ul>
+</li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#deeprec-utilities">DeepRec utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.base_model">Base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model">Sequential base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.io.iterator">Iterators</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF">Data processing utilities</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.deeprec_utils">Utilities</a></li>
-</ul>
-</li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn">DKN</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn_item2item">DKN item-to-item</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.xDeepFM">xDeepFM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn">LightGCN</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.asvd">A2SVD</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.caser">Caser</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.gru">GRU</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.nextitnet">NextItNet</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">RNN Cells</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sum">SUM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sli_rec">SLIRec</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.fastai.fastai_utils">FastAI utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightfm.lightfm_utils">LightFM utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightgbm.lightgbm_utils">LightGBM utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.ncf.dataset">NCF</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.base_model">Base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel"><code class="docutils literal notranslate"><span class="pre">BaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">BaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.fit"><code class="docutils literal notranslate"><span class="pre">BaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.group_labels"><code class="docutils literal notranslate"><span class="pre">BaseModel.group_labels()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.infer"><code class="docutils literal notranslate"><span class="pre">BaseModel.infer()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.load_model"><code class="docutils literal notranslate"><span class="pre">BaseModel.load_model()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.predict"><code class="docutils literal notranslate"><span class="pre">BaseModel.predict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.run_eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.train"><code class="docutils literal notranslate"><span class="pre">BaseModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model">Sequential base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.predict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.run_eval()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.io.iterator">Iterators</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator"><code class="docutils literal notranslate"><span class="pre">BaseIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">BaseIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">BaseIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">BaseIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.gen_infer_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.load_infer_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator.load_data_from_file()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator"><code class="docutils literal notranslate"><span class="pre">NextItNetIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__"><code class="docutils literal notranslate"><span class="pre">NextItNetIterator.__init__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator"><code class="docutils literal notranslate"><span class="pre">SequentialIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.parse_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF">Data processing utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF"><code class="docutils literal notranslate"><span class="pre">ImplicitCF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.create_norm_adj_mat()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.get_norm_adj_mat()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.train_loader()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.deeprec_utils">Utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams"><code class="docutils literal notranslate"><span class="pre">HParams</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.__init__"><code class="docutils literal notranslate"><span class="pre">HParams.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.__repr__"><code class="docutils literal notranslate"><span class="pre">HParams.__repr__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.values"><code class="docutils literal notranslate"><span class="pre">HParams.values()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.cal_metric"><code class="docutils literal notranslate"><span class="pre">cal_metric()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.check_nn_config"><code class="docutils literal notranslate"><span class="pre">check_nn_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.check_type"><code class="docutils literal notranslate"><span class="pre">check_type()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.create_hparams"><code class="docutils literal notranslate"><span class="pre">create_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.dcg_score"><code class="docutils literal notranslate"><span class="pre">dcg_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources"><code class="docutils literal notranslate"><span class="pre">download_deeprec_resources()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.flat_config"><code class="docutils literal notranslate"><span class="pre">flat_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.hit_score"><code class="docutils literal notranslate"><span class="pre">hit_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.load_dict"><code class="docutils literal notranslate"><span class="pre">load_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.load_yaml"><code class="docutils literal notranslate"><span class="pre">load_yaml()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.mrr_score"><code class="docutils literal notranslate"><span class="pre">mrr_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.ndcg_score"><code class="docutils literal notranslate"><span class="pre">ndcg_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.prepare_hparams"><code class="docutils literal notranslate"><span class="pre">prepare_hparams()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn">DKN</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN"><code class="docutils literal notranslate"><span class="pre">DKN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.__init__"><code class="docutils literal notranslate"><span class="pre">DKN.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.infer_embedding"><code class="docutils literal notranslate"><span class="pre">DKN.infer_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding"><code class="docutils literal notranslate"><span class="pre">DKN.run_get_embedding()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn_item2item">DKN item-to-item</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item.eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item.run_eval()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.xDeepFM">xDeepFM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel"><code class="docutils literal notranslate"><span class="pre">XDeepFMModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn">LightGCN</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN"><code class="docutils literal notranslate"><span class="pre">LightGCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__"><code class="docutils literal notranslate"><span class="pre">LightGCN.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit"><code class="docutils literal notranslate"><span class="pre">LightGCN.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding"><code class="docutils literal notranslate"><span class="pre">LightGCN.infer_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load"><code class="docutils literal notranslate"><span class="pre">LightGCN.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">LightGCN.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval"><code class="docutils literal notranslate"><span class="pre">LightGCN.run_eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score"><code class="docutils literal notranslate"><span class="pre">LightGCN.score()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.asvd">A2SVD</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel"><code class="docutils literal notranslate"><span class="pre">A2SVDModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.caser">Caser</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel"><code class="docutils literal notranslate"><span class="pre">CaserModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__"><code class="docutils literal notranslate"><span class="pre">CaserModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.gru">GRU</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.gru.GRUModel"><code class="docutils literal notranslate"><span class="pre">GRUModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.nextitnet">NextItNet</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel"><code class="docutils literal notranslate"><span class="pre">NextItNetModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">RNN Cells</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.state_size</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.state_size</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sum">SUM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum.SUMModel"><code class="docutils literal notranslate"><span class="pre">SUMModel</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell"><code class="docutils literal notranslate"><span class="pre">SUMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build"><code class="docutils literal notranslate"><span class="pre">SUMCell.build()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call"><code class="docutils literal notranslate"><span class="pre">SUMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config"><code class="docutils literal notranslate"><span class="pre">SUMCell.get_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size"><code class="docutils literal notranslate"><span class="pre">SUMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size"><code class="docutils literal notranslate"><span class="pre">SUMCell.state_size</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell.build()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell.call()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sli_rec">SLIRec</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel"><code class="docutils literal notranslate"><span class="pre">SLI_RECModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.fastai.fastai_utils">FastAI utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.cartesian_product"><code class="docutils literal notranslate"><span class="pre">cartesian_product()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar"><code class="docutils literal notranslate"><span class="pre">hide_fastai_progress_bar()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.score"><code class="docutils literal notranslate"><span class="pre">score()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightfm.lightfm_utils">LightFM utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.compare_metric"><code class="docutils literal notranslate"><span class="pre">compare_metric()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.model_perf_plots"><code class="docutils literal notranslate"><span class="pre">model_perf_plots()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions"><code class="docutils literal notranslate"><span class="pre">prepare_all_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.prepare_test_df"><code class="docutils literal notranslate"><span class="pre">prepare_test_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.similar_items"><code class="docutils literal notranslate"><span class="pre">similar_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.similar_users"><code class="docutils literal notranslate"><span class="pre">similar_users()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.track_model_metrics"><code class="docutils literal notranslate"><span class="pre">track_model_metrics()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightgbm.lightgbm_utils">LightGBM utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder"><code class="docutils literal notranslate"><span class="pre">NumEncoder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform"><code class="docutils literal notranslate"><span class="pre">NumEncoder.fit_transform()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform"><code class="docutils literal notranslate"><span class="pre">NumEncoder.transform()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.unpackbits"><code class="docutils literal notranslate"><span class="pre">unpackbits()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.ncf.dataset">NCF</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile"><code class="docutils literal notranslate"><span class="pre">DataFile</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile.__init__"><code class="docutils literal notranslate"><span class="pre">DataFile.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile.load_data"><code class="docutils literal notranslate"><span class="pre">DataFile.load_data()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset"><code class="docutils literal notranslate"><span class="pre">Dataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.__init__"><code class="docutils literal notranslate"><span class="pre">Dataset.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.test_loader"><code class="docutils literal notranslate"><span class="pre">Dataset.test_loader()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.train_loader"><code class="docutils literal notranslate"><span class="pre">Dataset.train_loader()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.EmptyFileException"><code class="docutils literal notranslate"><span class="pre">EmptyFileException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.FileNotSortedException"><code class="docutils literal notranslate"><span class="pre">FileNotSortedException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.MissingFieldsException"><code class="docutils literal notranslate"><span class="pre">MissingFieldsException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.MissingUserException"><code class="docutils literal notranslate"><span class="pre">MissingUserException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler"><code class="docutils literal notranslate"><span class="pre">NegativeSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler.__init__"><code class="docutils literal notranslate"><span class="pre">NegativeSampler.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler.sample"><code class="docutils literal notranslate"><span class="pre">NegativeSampler.sample()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF"><code class="docutils literal notranslate"><span class="pre">NCF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.__init__"><code class="docutils literal notranslate"><span class="pre">NCF.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.fit"><code class="docutils literal notranslate"><span class="pre">NCF.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.load"><code class="docutils literal notranslate"><span class="pre">NCF.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.predict"><code class="docutils literal notranslate"><span class="pre">NCF.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.save"><code class="docutils literal notranslate"><span class="pre">NCF.save()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#newsrec-utilities">NewsRec utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Iterators</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Utilities</a></li>
-</ul>
-</li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.lstur">LSTUR</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.naml">NAML</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.npa">NPA</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.nrms">NRMS</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.rbm.rbm">RBM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sar.sar_singlenode">SAR</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.model">SASRec</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.ssept">SSE-PT</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.surprise.surprise_utils">Surprise utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.tfidf.tfidf_utils">TF-IDF utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.standard_vae">Standard VAE</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.multinomial_vae">Multinomial VAE</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vowpal_wabbit.vw">Vowpal Wabbit utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.wide_deep.wide_deep_utils">Wide &amp; Deep</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel"><code class="docutils literal notranslate"><span class="pre">BaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.hparams"><code class="docutils literal notranslate"><span class="pre">BaseModel.hparams</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.train_iterator"><code class="docutils literal notranslate"><span class="pre">BaseModel.train_iterator</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.test_iterator"><code class="docutils literal notranslate"><span class="pre">BaseModel.test_iterator</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.graph"><code class="docutils literal notranslate"><span class="pre">BaseModel.graph</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.seed"><code class="docutils literal notranslate"><span class="pre">BaseModel.seed</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">BaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.fit"><code class="docutils literal notranslate"><span class="pre">BaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.group_labels"><code class="docutils literal notranslate"><span class="pre">BaseModel.group_labels()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.run_eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.train"><code class="docutils literal notranslate"><span class="pre">BaseModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Iterators</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator"><code class="docutils literal notranslate"><span class="pre">MINDIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter"><code class="docutils literal notranslate"><span class="pre">MINDIterator.col_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter"><code class="docutils literal notranslate"><span class="pre">MINDIterator.ID_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.batch_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.title_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.his_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio"><code class="docutils literal notranslate"><span class="pre">MINDIterator.npratio</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__"><code class="docutils literal notranslate"><span class="pre">MINDIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors"><code class="docutils literal notranslate"><span class="pre">MINDIterator.init_behaviors()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news"><code class="docutils literal notranslate"><span class="pre">MINDIterator.init_news()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_impression_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_news_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_user_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">MINDIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.col_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.ID_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.batch_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.title_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.body_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.his_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.npratio</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.init_behaviors()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.init_news()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_impression_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_news_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_user_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2"><code class="docutils literal notranslate"><span class="pre">AttLayer2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.dim"><code class="docutils literal notranslate"><span class="pre">AttLayer2.dim</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.__init__"><code class="docutils literal notranslate"><span class="pre">AttLayer2.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.build"><code class="docutils literal notranslate"><span class="pre">AttLayer2.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.call"><code class="docutils literal notranslate"><span class="pre">AttLayer2.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask"><code class="docutils literal notranslate"><span class="pre">AttLayer2.compute_mask()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">AttLayer2.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking"><code class="docutils literal notranslate"><span class="pre">ComputeMasking</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking.call"><code class="docutils literal notranslate"><span class="pre">ComputeMasking.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">ComputeMasking.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.build"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.call"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling"><code class="docutils literal notranslate"><span class="pre">PersonalizedAttentivePooling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim1"><code class="docutils literal notranslate"><span class="pre">dim1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim2"><code class="docutils literal notranslate"><span class="pre">dim2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim3"><code class="docutils literal notranslate"><span class="pre">dim3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention"><code class="docutils literal notranslate"><span class="pre">SelfAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.Mask"><code class="docutils literal notranslate"><span class="pre">SelfAttention.Mask()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.__init__"><code class="docutils literal notranslate"><span class="pre">SelfAttention.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.build"><code class="docutils literal notranslate"><span class="pre">SelfAttention.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.call"><code class="docutils literal notranslate"><span class="pre">SelfAttention.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">SelfAttention.compute_output_shape()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.get_config"><code class="docutils literal notranslate"><span class="pre">SelfAttention.get_config()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.check_nn_config"><code class="docutils literal notranslate"><span class="pre">check_nn_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.check_type"><code class="docutils literal notranslate"><span class="pre">check_type()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.create_hparams"><code class="docutils literal notranslate"><span class="pre">create_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.get_mind_data_set"><code class="docutils literal notranslate"><span class="pre">get_mind_data_set()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.newsample"><code class="docutils literal notranslate"><span class="pre">newsample()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.prepare_hparams"><code class="docutils literal notranslate"><span class="pre">prepare_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.word_tokenize"><code class="docutils literal notranslate"><span class="pre">word_tokenize()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.lstur">LSTUR</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel"><code class="docutils literal notranslate"><span class="pre">LSTURModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">LSTURModel.word2vec_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel.hparam"><code class="docutils literal notranslate"><span class="pre">LSTURModel.hparam</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel.__init__"><code class="docutils literal notranslate"><span class="pre">LSTURModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.naml">NAML</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel"><code class="docutils literal notranslate"><span class="pre">NAMLModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NAMLModel.word2vec_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.hparam"><code class="docutils literal notranslate"><span class="pre">NAMLModel.hparam</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.__init__"><code class="docutils literal notranslate"><span class="pre">NAMLModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.npa">NPA</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel"><code class="docutils literal notranslate"><span class="pre">NPAModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NPAModel.word2vec_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.hparam"><code class="docutils literal notranslate"><span class="pre">NPAModel.hparam</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.__init__"><code class="docutils literal notranslate"><span class="pre">NPAModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.nrms">NRMS</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel"><code class="docutils literal notranslate"><span class="pre">NRMSModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NRMSModel.word2vec_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel.hparam"><code class="docutils literal notranslate"><span class="pre">NRMSModel.hparam</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel.__init__"><code class="docutils literal notranslate"><span class="pre">NRMSModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.rbm.rbm">RBM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM"><code class="docutils literal notranslate"><span class="pre">RBM</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.__init__"><code class="docutils literal notranslate"><span class="pre">RBM.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.batch_training"><code class="docutils literal notranslate"><span class="pre">RBM.batch_training()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.binomial_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.binomial_sampling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.data_pipeline"><code class="docutils literal notranslate"><span class="pre">RBM.data_pipeline()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.eval_out"><code class="docutils literal notranslate"><span class="pre">RBM.eval_out()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.fit"><code class="docutils literal notranslate"><span class="pre">RBM.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.free_energy"><code class="docutils literal notranslate"><span class="pre">RBM.free_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.generate_graph"><code class="docutils literal notranslate"><span class="pre">RBM.generate_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.gibbs_protocol"><code class="docutils literal notranslate"><span class="pre">RBM.gibbs_protocol()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.gibbs_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.gibbs_sampling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_gpu"><code class="docutils literal notranslate"><span class="pre">RBM.init_gpu()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_metrics"><code class="docutils literal notranslate"><span class="pre">RBM.init_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_parameters"><code class="docutils literal notranslate"><span class="pre">RBM.init_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_training_session"><code class="docutils literal notranslate"><span class="pre">RBM.init_training_session()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.load"><code class="docutils literal notranslate"><span class="pre">RBM.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.losses"><code class="docutils literal notranslate"><span class="pre">RBM.losses()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.multinomial_distribution"><code class="docutils literal notranslate"><span class="pre">RBM.multinomial_distribution()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.multinomial_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.multinomial_sampling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.placeholder"><code class="docutils literal notranslate"><span class="pre">RBM.placeholder()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.predict"><code class="docutils literal notranslate"><span class="pre">RBM.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">RBM.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.sample_hidden_units"><code class="docutils literal notranslate"><span class="pre">RBM.sample_hidden_units()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.sample_visible_units"><code class="docutils literal notranslate"><span class="pre">RBM.sample_visible_units()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.save"><code class="docutils literal notranslate"><span class="pre">RBM.save()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sar.sar_singlenode">SAR</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode"><code class="docutils literal notranslate"><span class="pre">SARSingleNode</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_affinity_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_cooccurrence_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_time_decay()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.fit"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_item_based_topk()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_popularity_based_topk()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_topk_most_similar_users()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.predict"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.score"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.set_index()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.model">SASRec</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder"><code class="docutils literal notranslate"><span class="pre">Encoder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder.__init__"><code class="docutils literal notranslate"><span class="pre">Encoder.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder.call"><code class="docutils literal notranslate"><span class="pre">Encoder.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer"><code class="docutils literal notranslate"><span class="pre">EncoderLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.__init__"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.call"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.call_"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.call_()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization"><code class="docutils literal notranslate"><span class="pre">LayerNormalization</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization.__init__"><code class="docutils literal notranslate"><span class="pre">LayerNormalization.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization.call"><code class="docutils literal notranslate"><span class="pre">LayerNormalization.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention.__init__"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention.call"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward.__init__"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward.call"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC"><code class="docutils literal notranslate"><span class="pre">SASREC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.__init__"><code class="docutils literal notranslate"><span class="pre">SASREC.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.call"><code class="docutils literal notranslate"><span class="pre">SASREC.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.create_combined_dataset"><code class="docutils literal notranslate"><span class="pre">SASREC.create_combined_dataset()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.embedding"><code class="docutils literal notranslate"><span class="pre">SASREC.embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.evaluate"><code class="docutils literal notranslate"><span class="pre">SASREC.evaluate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.evaluate_valid"><code class="docutils literal notranslate"><span class="pre">SASREC.evaluate_valid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.loss_function"><code class="docutils literal notranslate"><span class="pre">SASREC.loss_function()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.predict"><code class="docutils literal notranslate"><span class="pre">SASREC.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.train"><code class="docutils literal notranslate"><span class="pre">SASREC.train()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler"><code class="docutils literal notranslate"><span class="pre">WarpSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.User"><code class="docutils literal notranslate"><span class="pre">WarpSampler.User</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.usernum"><code class="docutils literal notranslate"><span class="pre">WarpSampler.usernum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.itemnum"><code class="docutils literal notranslate"><span class="pre">WarpSampler.itemnum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.batch_size"><code class="docutils literal notranslate"><span class="pre">WarpSampler.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.maxlen"><code class="docutils literal notranslate"><span class="pre">WarpSampler.maxlen</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.n_workers"><code class="docutils literal notranslate"><span class="pre">WarpSampler.n_workers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.__init__"><code class="docutils literal notranslate"><span class="pre">WarpSampler.__init__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.sample_function"><code class="docutils literal notranslate"><span class="pre">sample_function()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.usernum"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.usernum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.itemnum"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.itemnum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.User"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.User</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.Items"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.Items</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_train"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_train</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_valid"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_valid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_test"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_test</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.col_sep"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.col_sep</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.filename"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.filename</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.ssept">SSE-PT</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT"><code class="docutils literal notranslate"><span class="pre">SSEPT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.__init__"><code class="docutils literal notranslate"><span class="pre">SSEPT.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.call"><code class="docutils literal notranslate"><span class="pre">SSEPT.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.loss_function"><code class="docutils literal notranslate"><span class="pre">SSEPT.loss_function()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.predict"><code class="docutils literal notranslate"><span class="pre">SSEPT.predict()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.surprise.surprise_utils">Surprise utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.compute_ranking_predictions"><code class="docutils literal notranslate"><span class="pre">compute_ranking_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.predict"><code class="docutils literal notranslate"><span class="pre">predict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df"><code class="docutils literal notranslate"><span class="pre">surprise_trainset_to_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.tfidf.tfidf_utils">TF-IDF utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.clean_dataframe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_stop_words()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_tokens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_top_k_recommendations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.recommend_top_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.tokenize_text()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.standard_vae">Standard VAE</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.__init__"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.get_data"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_batch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory"><code class="docutils literal notranslate"><span class="pre">LossHistory</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory.on_train_begin"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics"><code class="docutils literal notranslate"><span class="pre">Metrics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.__init__"><code class="docutils literal notranslate"><span class="pre">Metrics.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.get_data"><code class="docutils literal notranslate"><span class="pre">Metrics.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">Metrics.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.on_train_begin"><code class="docutils literal notranslate"><span class="pre">Metrics.on_train_begin()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Metrics.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE"><code class="docutils literal notranslate"><span class="pre">StandardVAE</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.__init__"><code class="docutils literal notranslate"><span class="pre">StandardVAE.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.display_metrics"><code class="docutils literal notranslate"><span class="pre">StandardVAE.display_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.fit"><code class="docutils literal notranslate"><span class="pre">StandardVAE.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta"><code class="docutils literal notranslate"><span class="pre">StandardVAE.get_optimal_beta()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch"><code class="docutils literal notranslate"><span class="pre">StandardVAE.ndcg_per_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator"><code class="docutils literal notranslate"><span class="pre">StandardVAE.nn_batch_generator()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">StandardVAE.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.multinomial_vae">Multinomial VAE</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_batch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory"><code class="docutils literal notranslate"><span class="pre">LossHistory</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics"><code class="docutils literal notranslate"><span class="pre">Metrics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.__init__"><code class="docutils literal notranslate"><span class="pre">Metrics.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.get_data"><code class="docutils literal notranslate"><span class="pre">Metrics.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">Metrics.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin"><code class="docutils literal notranslate"><span class="pre">Metrics.on_train_begin()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Metrics.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE"><code class="docutils literal notranslate"><span class="pre">Mult_VAE</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.display_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.fit"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.get_optimal_beta()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.ndcg_per_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.nn_batch_generator()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vowpal_wabbit.vw">Vowpal Wabbit utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW"><code class="docutils literal notranslate"><span class="pre">VW</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.fit"><code class="docutils literal notranslate"><span class="pre">VW.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params"><code class="docutils literal notranslate"><span class="pre">VW.parse_test_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params"><code class="docutils literal notranslate"><span class="pre">VW.parse_train_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.predict"><code class="docutils literal notranslate"><span class="pre">VW.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd"><code class="docutils literal notranslate"><span class="pre">VW.to_vw_cmd()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file"><code class="docutils literal notranslate"><span class="pre">VW.to_vw_file()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.wide_deep.wide_deep_utils">Wide &amp; Deep</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns"><code class="docutils literal notranslate"><span class="pre">build_feature_columns()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.wide_deep.wide_deep_utils.build_model"><code class="docutils literal notranslate"><span class="pre">build_model()</span></code></a></li>
+</ul>
+</li>
 </ul>
             </nav>
         </div>
@@ -432,13 +1013,13 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="recommender-algorithms-module">
-<span id="recommender"></span><h1>Recommender algorithms module<a class="headerlink" href="#recommender-algorithms-module" title="Permalink to this heading">#</a></h1>
+<span id="recommender"></span><h1>Recommender algorithms module<a class="headerlink" href="#recommender-algorithms-module" title="Link to this heading">#</a></h1>
 <p>Recommender system algorithms and utilities.</p>
 <section id="module-recommenders.models.cornac.cornac_utils">
-<span id="cornac-utilities"></span><h2>Cornac utilities<a class="headerlink" href="#module-recommenders.models.cornac.cornac_utils" title="Permalink to this heading">#</a></h2>
+<span id="cornac-utilities"></span><h2>Cornac utilities<a class="headerlink" href="#module-recommenders.models.cornac.cornac_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.cornac.cornac_utils.predict">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.cornac.cornac_utils.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/cornac/cornac_utils.html#predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.cornac.cornac_utils.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.cornac.cornac_utils.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/cornac/cornac_utils.html#predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.cornac.cornac_utils.predict" title="Link to this definition">#</a></dt>
 <dd><p>Computes predictions of a recommender model from Cornac on the data.
 Can be used for computing rating metrics like RMSE.</p>
 <dl class="field-list simple">
@@ -461,7 +1042,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.cornac.cornac_utils.predict_ranking">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.cornac.cornac_utils.</span></span><span class="sig-name descname"><span class="pre">predict_ranking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/cornac/cornac_utils.html#predict_ranking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.cornac.cornac_utils.predict_ranking" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.cornac.cornac_utils.</span></span><span class="sig-name descname"><span class="pre">predict_ranking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/cornac/cornac_utils.html#predict_ranking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.cornac.cornac_utils.predict_ranking" title="Link to this definition">#</a></dt>
 <dd><p>Computes predictions of recommender model from Cornac on all users and items in data.
 It can be used for computing ranking metrics like NDCG.</p>
 <dl class="field-list simple">
@@ -485,16 +1066,16 @@ <h2> Contents </h2>
 
 </section>
 <section id="deeprec-utilities">
-<h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Permalink to this heading">#</a></h2>
+<h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Link to this heading">#</a></h2>
 <section id="module-recommenders.models.deeprec.models.base_model">
-<span id="base-model"></span><h3>Base model<a class="headerlink" href="#module-recommenders.models.deeprec.models.base_model" title="Permalink to this heading">#</a></h3>
+<span id="base-model"></span><h3>Base model<a class="headerlink" href="#module-recommenders.models.deeprec.models.base_model" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel" title="Link to this definition">#</a></dt>
 <dd><p>Base class for models</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializing the model. Create common logics which are needed by all deeprec models, such as loss function,
 parameter set.</p>
 <dl class="field-list simple">
@@ -511,7 +1092,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.eval">
-<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the data in <cite>feed_dict</cite> with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -531,7 +1112,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the model with <cite>train_file</cite>. Evaluate the model on valid_file per epoch to observe the training status.
 If <cite>test_file</cite> is not None, evaluate it too.</p>
 <dl class="field-list simple">
@@ -553,7 +1134,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.group_labels">
-<span class="sig-name descname"><span class="pre">group_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.group_labels"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.group_labels" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">group_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.group_labels"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.group_labels" title="Link to this definition">#</a></dt>
 <dd><p>Devide <cite>labels</cite> and <cite>preds</cite> into several group according to values in group keys.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -578,7 +1159,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.infer">
-<span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.infer" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.infer" title="Link to this definition">#</a></dt>
 <dd><p>Given feature data (in <cite>feed_dict</cite>), get predicted scores with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -598,7 +1179,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.load_model">
-<span class="sig-name descname"><span class="pre">load_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.load_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.load_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.load_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.load_model" title="Link to this definition">#</a></dt>
 <dd><p>Load an existing model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -612,7 +1193,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.predict" title="Link to this definition">#</a></dt>
 <dd><p>Make predictions on the given data, and output predicted scores to a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -632,7 +1213,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the given file and returns some evaluation metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -649,7 +1230,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.train">
-<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.train" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.train" title="Link to this definition">#</a></dt>
 <dd><p>Go through the optimization step once with training data in <cite>feed_dict</cite>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -671,14 +1252,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.sequential_base_model">
-<span id="sequential-base-model"></span><h3>Sequential base model<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model" title="Permalink to this heading">#</a></h3>
+<span id="sequential-base-model"></span><h3>Sequential base model<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sequential_base_model.</span></span><span class="sig-name descname"><span class="pre">SequentialBaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sequential_base_model.</span></span><span class="sig-name descname"><span class="pre">SequentialBaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel" title="Link to this definition">#</a></dt>
 <dd><p>Base class for sequential models</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializing the model. Create common logics which are needed by all sequential models, such as loss function,
 parameter set.</p>
 <dl class="field-list simple">
@@ -695,7 +1276,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_num_ngs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'group_auc'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_num_ngs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'group_auc'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the model with <cite>train_file</cite>. Evaluate the model on <cite>valid_file</cite> per epoch to observe the training status.
 If <cite>test_file</cite> is not None, evaluate it too.</p>
 <dl class="field-list simple">
@@ -718,7 +1299,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict" title="Link to this definition">#</a></dt>
 <dd><p>Make predictions on the given data, and output predicted scores to a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -738,7 +1319,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_ngs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_ngs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the given file and returns some evaluation metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -760,14 +1341,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.io.iterator">
-<span id="iterators"></span><h3>Iterators<a class="headerlink" href="#module-recommenders.models.deeprec.io.iterator" title="Permalink to this heading">#</a></h3>
+<span id="iterators"></span><h3>Iterators<a class="headerlink" href="#module-recommenders.models.deeprec.io.iterator" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.BaseIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.iterator.</span></span><span class="sig-name descname"><span class="pre">BaseIterator</span></span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.iterator.</span></span><span class="sig-name descname"><span class="pre">BaseIterator</span></span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator" title="Link to this definition">#</a></dt>
 <dd><p>Abstract base iterator class</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Abstract method. Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -778,7 +1359,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Abstract method. Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -789,7 +1370,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Abstract method. Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -802,13 +1383,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.iterator.</span></span><span class="sig-name descname"><span class="pre">FFMTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.iterator.</span></span><span class="sig-name descname"><span class="pre">FFMTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator" title="Link to this definition">#</a></dt>
 <dd><p>Data loader for FFM format based models, such as xDeepFM.
 Iterator will not load the whole data into memory. Instead, it loads data into memory
 per mini-batch, so that large files can be used as input data.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create the necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -824,7 +1405,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict">
-<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -841,7 +1422,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -858,7 +1439,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -875,9 +1456,9 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.io.dkn_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.io.dkn_iterator">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.dkn_iterator.</span></span><span class="sig-name descname"><span class="pre">DKNTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.dkn_iterator.</span></span><span class="sig-name descname"><span class="pre">DKNTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator" title="Link to this definition">#</a></dt>
 <dd><p>Data loader for the DKN model.
 DKN requires a special type of data format, where each instance contains a label, the candidate news article,
 and user’s clicked news article. Articles are represented by title words and title entities. Words and entities
@@ -886,7 +1467,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 per mini-batch, so that large files can be used as input data.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -902,7 +1483,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict">
-<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -919,7 +1500,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict">
-<span class="sig-name descname"><span class="pre">gen_infer_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.gen_infer_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_infer_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.gen_infer_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -936,7 +1517,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -955,7 +1536,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file">
-<span class="sig-name descname"><span class="pre">load_infer_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.load_infer_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_infer_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.load_infer_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file for infer document embedding.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -974,7 +1555,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -992,12 +1573,12 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.io.dkn_item2item_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.io.dkn_item2item_iterator">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.dkn_item2item_iterator.</span></span><span class="sig-name descname"><span class="pre">DKNItem2itemTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.dkn_item2item_iterator.</span></span><span class="sig-name descname"><span class="pre">DKNItem2itemTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator" title="Link to this definition">#</a></dt>
 <dd><dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>This new iterator is for DKN’s item-to-item recommendations version.
 The tutorial can be found <a class="reference external" href="https://github.com/microsoft/recommenders/blob/main/examples/07_tutorials/KDD2020-tutorial/step4_run_dkn_item2item.ipynb">on this notebook</a>.</p>
 <p>Compared with user-to-item recommendations, we don’t need the user behavior module.
@@ -1014,7 +1595,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>This function will return a mini-batch of data with features,
 by looking up <cite>news_word_index</cite> dictionary and <cite>news_entity_index</cite> dictionary according to the news article’s ID.</p>
 <dl class="field-list simple">
@@ -1034,16 +1615,16 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.io.nextitnet_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.io.nextitnet_iterator">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.nextitnet_iterator.</span></span><span class="sig-name descname"><span class="pre">NextItNetIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/nextitnet_iterator.html#NextItNetIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.nextitnet_iterator.</span></span><span class="sig-name descname"><span class="pre">NextItNetIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/nextitnet_iterator.html#NextItNetIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator" title="Link to this definition">#</a></dt>
 <dd><p>Data loader for the NextItNet model.</p>
 <p>NextItNet requires a special type of data format. In training stage, each instance will
 produce <cite>(sequence_length * train_num_ngs)</cite> target items and labels, to let NextItNet
 output predictions of every item in a sequence except only of the last item.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/nextitnet_iterator.html#NextItNetIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/nextitnet_iterator.html#NextItNetIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.
 Different from sequential iterator</p>
 <dl class="field-list simple">
@@ -1059,12 +1640,12 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.io.sequential_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.io.sequential_iterator">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.sequential_iterator.</span></span><span class="sig-name descname"><span class="pre">SequentialIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.sequential_iterator.</span></span><span class="sig-name descname"><span class="pre">SequentialIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator" title="Link to this definition">#</a></dt>
 <dd><dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1079,7 +1660,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict">
-<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1096,7 +1677,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_seq_length</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_seq_length</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1116,7 +1697,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file">
-<span class="sig-name descname"><span class="pre">parse_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.parse_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parse_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.parse_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file" title="Link to this definition">#</a></dt>
 <dd><p>Parse the file to A list ready to be used for downstream tasks.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1133,7 +1714,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1156,15 +1737,15 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.DataModel.ImplicitCF">
-<span id="data-processing-utilities"></span><h3>Data processing utilities<a class="headerlink" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF" title="Permalink to this heading">#</a></h3>
+<span id="data-processing-utilities"></span><h3>Data processing utilities<a class="headerlink" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.DataModel.ImplicitCF.</span></span><span class="sig-name descname"><span class="pre">ImplicitCF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adj_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.DataModel.ImplicitCF.</span></span><span class="sig-name descname"><span class="pre">ImplicitCF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adj_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF" title="Link to this definition">#</a></dt>
 <dd><p>Data processing class for GCN models which use implicit feedback.</p>
 <p>Initialize train and test set, create normalized adjacency matrix and sample data for training epochs.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adj_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adj_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1185,7 +1766,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat">
-<span class="sig-name descname"><span class="pre">create_norm_adj_mat</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.create_norm_adj_mat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">create_norm_adj_mat</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.create_norm_adj_mat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat" title="Link to this definition">#</a></dt>
 <dd><p>Create normalized adjacency matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1199,7 +1780,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat">
-<span class="sig-name descname"><span class="pre">get_norm_adj_mat</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.get_norm_adj_mat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_norm_adj_mat</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.get_norm_adj_mat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat" title="Link to this definition">#</a></dt>
 <dd><p>Load normalized adjacency matrix if it exists, otherwise create (and save) it.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1213,7 +1794,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader">
-<span class="sig-name descname"><span class="pre">train_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.train_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.train_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader" title="Link to this definition">#</a></dt>
 <dd><p>Sample train data every batch. One positive item and one negative item sampled for each user.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1237,14 +1818,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.deeprec_utils">
-<span id="utilities"></span><h3>Utilities<a class="headerlink" href="#module-recommenders.models.deeprec.deeprec_utils" title="Permalink to this heading">#</a></h3>
+<span id="utilities"></span><h3>Utilities<a class="headerlink" href="#module-recommenders.models.deeprec.deeprec_utils" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.HParams">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">HParams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">HParams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams" title="Link to this definition">#</a></dt>
 <dd><p>Class for holding hyperparameters for DeepRec algorithms.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.HParams.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Create an HParams object from a dictionary of hyperparameter values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1255,13 +1836,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.HParams.__repr__">
-<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.__repr__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.__repr__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.__repr__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.__repr__" title="Link to this definition">#</a></dt>
 <dd><p>Return repr(self).</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.HParams.values">
-<span class="sig-name descname"><span class="pre">values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.values"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.values" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.values"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.values" title="Link to this definition">#</a></dt>
 <dd><p>Return the hyperparameter values as a dictionary.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1277,7 +1858,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.cal_metric">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">cal_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#cal_metric"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.cal_metric" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">cal_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#cal_metric"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.cal_metric" title="Link to this definition">#</a></dt>
 <dd><p>Calculate metrics.</p>
 <p>Available options are: <cite>auc</cite>, <cite>rmse</cite>, <cite>logloss</cite>, <cite>acc</cite> (accurary), <cite>f1</cite>, <cite>mean_mrr</cite>,
 <cite>ndcg</cite> (format like: ndcg&#64;2;4;6;8), <cite>hit</cite> (format like: hit&#64;2;4;6;8), <cite>group_auc</cite>.</p>
@@ -1305,7 +1886,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.check_nn_config">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">check_nn_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#check_nn_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.check_nn_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">check_nn_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#check_nn_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.check_nn_config" title="Link to this definition">#</a></dt>
 <dd><p>Check neural networks configuration.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1319,7 +1900,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.check_type">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">check_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#check_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.check_type" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">check_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#check_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.check_type" title="Link to this definition">#</a></dt>
 <dd><p>Check that the config parameters are the correct type</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1333,7 +1914,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.create_hparams">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">create_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">flags</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#create_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.create_hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">create_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">flags</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#create_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.create_hparams" title="Link to this definition">#</a></dt>
 <dd><p>Create the model hyperparameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1350,7 +1931,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.dcg_score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">dcg_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#dcg_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.dcg_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">dcg_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#dcg_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.dcg_score" title="Link to this definition">#</a></dt>
 <dd><p>Computing dcg score metric at k.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1370,7 +1951,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.download_deeprec_resources">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">download_deeprec_resources</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">azure_container_url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remote_resource_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#download_deeprec_resources"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">download_deeprec_resources</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">azure_container_url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remote_resource_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#download_deeprec_resources"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources" title="Link to this definition">#</a></dt>
 <dd><p>Download resources.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1385,7 +1966,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.flat_config">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">flat_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#flat_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.flat_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">flat_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#flat_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.flat_config" title="Link to this definition">#</a></dt>
 <dd><p>Flat config loaded from a yaml file to a flat dict.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1402,7 +1983,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.hit_score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">hit_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#hit_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.hit_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">hit_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#hit_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.hit_score" title="Link to this definition">#</a></dt>
 <dd><p>Computing hit score metric at k.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1422,7 +2003,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.load_dict">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.load_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.load_dict" title="Link to this definition">#</a></dt>
 <dd><p>Load the vocabularies.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1439,7 +2020,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.load_yaml">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">load_yaml</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#load_yaml"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.load_yaml" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">load_yaml</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#load_yaml"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.load_yaml" title="Link to this definition">#</a></dt>
 <dd><p>Load a yaml file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1456,7 +2037,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.mrr_score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">mrr_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#mrr_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.mrr_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">mrr_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#mrr_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.mrr_score" title="Link to this definition">#</a></dt>
 <dd><p>Computing mrr score metric.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1476,7 +2057,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.ndcg_score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">ndcg_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#ndcg_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.ndcg_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">ndcg_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#ndcg_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.ndcg_score" title="Link to this definition">#</a></dt>
 <dd><p>Computing ndcg score metric at k.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1496,7 +2077,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.prepare_hparams">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#prepare_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.prepare_hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#prepare_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.prepare_hparams" title="Link to this definition">#</a></dt>
 <dd><p>Prepare the model hyperparameters and check that all have the correct value.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1514,10 +2095,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </section>
 </section>
 <section id="module-recommenders.models.deeprec.models.dkn">
-<span id="dkn"></span><h2>DKN<a class="headerlink" href="#module-recommenders.models.deeprec.models.dkn" title="Permalink to this heading">#</a></h2>
+<span id="dkn"></span><h2>DKN<a class="headerlink" href="#module-recommenders.models.deeprec.models.dkn" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn.DKN">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.dkn.</span></span><span class="sig-name descname"><span class="pre">DKN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.dkn.</span></span><span class="sig-name descname"><span class="pre">DKN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN" title="Link to this definition">#</a></dt>
 <dd><p>DKN model (Deep Knowledge-Aware Network)</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1528,7 +2109,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn.DKN.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for DKN.
 Compared with the BaseModel, DKN requires two different pre-computed embeddings,
 i.e. word embedding and entity embedding.
@@ -1545,7 +2126,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn.DKN.infer_embedding">
-<span class="sig-name descname"><span class="pre">infer_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.infer_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.infer_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">infer_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.infer_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.infer_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Infer document embedding in feed_dict with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1565,7 +2146,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn.DKN.run_get_embedding">
-<span class="sig-name descname"><span class="pre">run_get_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.run_get_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_get_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.run_get_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding" title="Link to this definition">#</a></dt>
 <dd><p>infer document embedding with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1587,15 +2168,15 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.dkn_item2item">
-<span id="dkn-item-to-item"></span><h2>DKN item-to-item<a class="headerlink" href="#module-recommenders.models.deeprec.models.dkn_item2item" title="Permalink to this heading">#</a></h2>
+<span id="dkn-item-to-item"></span><h2>DKN item-to-item<a class="headerlink" href="#module-recommenders.models.deeprec.models.dkn_item2item" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.dkn_item2item.</span></span><span class="sig-name descname"><span class="pre">DKNItem2Item</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.dkn_item2item.</span></span><span class="sig-name descname"><span class="pre">DKNItem2Item</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item" title="Link to this definition">#</a></dt>
 <dd><p>Class for item-to-item recommendations using DKN.
 See <a class="github reference external" href="https://github.com/microsoft/recommenders/blob/main/examples/07_tutorials/KDD2020-tutorial/step4_run_dkn_item2item.ipynb">microsoft/recommenders</a></p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval">
-<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the data in <cite>feed_dict</cite> with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1615,7 +2196,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the given file and returns some evaluation metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1634,10 +2215,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.xDeepFM">
-<span id="xdeepfm"></span><h2>xDeepFM<a class="headerlink" href="#module-recommenders.models.deeprec.models.xDeepFM" title="Permalink to this heading">#</a></h2>
+<span id="xdeepfm"></span><h2>xDeepFM<a class="headerlink" href="#module-recommenders.models.deeprec.models.xDeepFM" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.xDeepFM.XDeepFMModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.xDeepFM.</span></span><span class="sig-name descname"><span class="pre">XDeepFMModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/xDeepFM.html#XDeepFMModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.xDeepFM.</span></span><span class="sig-name descname"><span class="pre">XDeepFMModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/xDeepFM.html#XDeepFMModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel" title="Link to this definition">#</a></dt>
 <dd><p>xDeepFM model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1651,10 +2232,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.graphrec.lightgcn">
-<span id="lightgcn"></span><h2>LightGCN<a class="headerlink" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn" title="Permalink to this heading">#</a></h2>
+<span id="lightgcn"></span><h2>LightGCN<a class="headerlink" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.graphrec.lightgcn.</span></span><span class="sig-name descname"><span class="pre">LightGCN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.graphrec.lightgcn.</span></span><span class="sig-name descname"><span class="pre">LightGCN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN" title="Link to this definition">#</a></dt>
 <dd><p>LightGCN model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1665,7 +2246,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializing the model. Create parameters, placeholders, embeddings and loss function.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1680,14 +2261,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the model on self.data.train. If eval_epoch is not -1, evaluate the model on <cite>self.data.test</cite>
 every <cite>eval_epoch</cite> epoch to observe the training status.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding">
-<span class="sig-name descname"><span class="pre">infer_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.infer_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">infer_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.infer_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Export user and item embeddings to csv files.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1701,7 +2282,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load">
-<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load" title="Link to this definition">#</a></dt>
 <dd><p>Load an existing model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1715,7 +2296,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Recommend top K items for all users in the test set.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1737,7 +2318,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Run evaluation on self.data.test.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1751,7 +2332,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score">
-<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_ids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_ids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score" title="Link to this definition">#</a></dt>
 <dd><p>Score all items for test users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1773,10 +2354,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.asvd">
-<span id="a2svd"></span><h2>A2SVD<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.asvd" title="Permalink to this heading">#</a></h2>
+<span id="a2svd"></span><h2>A2SVD<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.asvd" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.asvd.A2SVDModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.asvd.</span></span><span class="sig-name descname"><span class="pre">A2SVDModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/asvd.html#A2SVDModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.asvd.</span></span><span class="sig-name descname"><span class="pre">A2SVDModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/asvd.html#A2SVDModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel" title="Link to this definition">#</a></dt>
 <dd><p>A2SVD Model (Attentive Asynchronous Singular Value Decomposition)</p>
 <p>It extends ASVD with an attention module.</p>
 <dl class="field-list">
@@ -1794,10 +2375,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.caser">
-<span id="caser"></span><h2>Caser<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.caser" title="Permalink to this heading">#</a></h2>
+<span id="caser"></span><h2>Caser<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.caser" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.caser.CaserModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.caser.</span></span><span class="sig-name descname"><span class="pre">CaserModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/caser.html#CaserModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.caser.</span></span><span class="sig-name descname"><span class="pre">CaserModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/caser.html#CaserModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel" title="Link to this definition">#</a></dt>
 <dd><p>Caser Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1808,7 +2389,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/caser.html#CaserModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/caser.html#CaserModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization of variables for caser</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1824,10 +2405,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.gru">
-<span id="gru"></span><h2>GRU<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.gru" title="Permalink to this heading">#</a></h2>
+<span id="gru"></span><h2>GRU<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.gru" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.gru.GRUModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.gru.</span></span><span class="sig-name descname"><span class="pre">GRUModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/gru.html#GRUModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.gru.GRUModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.gru.</span></span><span class="sig-name descname"><span class="pre">GRUModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/gru.html#GRUModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.gru.GRUModel" title="Link to this definition">#</a></dt>
 <dd><p>GRU Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1841,10 +2422,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.nextitnet">
-<span id="nextitnet"></span><h2>NextItNet<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.nextitnet" title="Permalink to this heading">#</a></h2>
+<span id="nextitnet"></span><h2>NextItNet<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.nextitnet" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.nextitnet.</span></span><span class="sig-name descname"><span class="pre">NextItNetModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/nextitnet.html#NextItNetModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.nextitnet.</span></span><span class="sig-name descname"><span class="pre">NextItNetModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/nextitnet.html#NextItNetModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel" title="Link to this definition">#</a></dt>
 <dd><p>NextItNet Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1860,7 +2441,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">
-<span id="rnn-cells"></span><h2>RNN Cells<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement" title="Permalink to this heading">#</a></h2>
+<span id="rnn-cells"></span><h2>RNN Cells<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement" title="Link to this heading">#</a></h2>
 <p>Module implementing RNN Cells.</p>
 <p>This module provides a number of basic commonly used RNN cells, such as LSTM
 (Long Short Term Memory) or GRU (Gated Recurrent Unit), and a number of
@@ -1869,10 +2450,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 calling the <cite>rnn</cite> ops several times.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.rnn_cell_implement.</span></span><span class="sig-name descname"><span class="pre">Time4ALSTMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4ALSTMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.rnn_cell_implement.</span></span><span class="sig-name descname"><span class="pre">Time4ALSTMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4ALSTMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell" title="Link to this definition">#</a></dt>
 <dd><dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4ALSTMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4ALSTMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call" title="Link to this definition">#</a></dt>
 <dd><p>Call method for the Time4ALSTMCell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1896,7 +2477,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size" title="Link to this definition">#</a></dt>
 <dd><p>size of outputs produced by this cell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1907,7 +2488,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size" title="Link to this definition">#</a></dt>
 <dd><p>size(s) of state(s) used by this cell.</p>
 <p>It can be represented by an Integer, a TensorShape or a tuple of Integers
 or TensorShapes.</p>
@@ -1917,10 +2498,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.rnn_cell_implement.</span></span><span class="sig-name descname"><span class="pre">Time4LSTMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4LSTMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.rnn_cell_implement.</span></span><span class="sig-name descname"><span class="pre">Time4LSTMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4LSTMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell" title="Link to this definition">#</a></dt>
 <dd><dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4LSTMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4LSTMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call" title="Link to this definition">#</a></dt>
 <dd><p>Call method for the Time4LSTMCell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1944,7 +2525,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size" title="Link to this definition">#</a></dt>
 <dd><p>size of outputs produced by this cell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1955,7 +2536,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size" title="Link to this definition">#</a></dt>
 <dd><p>size(s) of state(s) used by this cell.</p>
 <p>It can be represented by an Integer, a TensorShape or a tuple of Integers
 or TensorShapes.</p>
@@ -1965,10 +2546,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.sum">
-<span id="sum"></span><h2>SUM<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sum" title="Permalink to this heading">#</a></h2>
+<span id="sum"></span><h2>SUM<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sum" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum.SUMModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum.</span></span><span class="sig-name descname"><span class="pre">SUMModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum.html#SUMModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum.SUMModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum.</span></span><span class="sig-name descname"><span class="pre">SUMModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum.html#SUMModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum.SUMModel" title="Link to this definition">#</a></dt>
 <dd><p>Sequential User Matrix Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1978,13 +2559,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.models.sequential.sum_cells"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.models.sequential.sum_cells">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum_cells.</span></span><span class="sig-name descname"><span class="pre">SUMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum_cells.</span></span><span class="sig-name descname"><span class="pre">SUMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell" title="Link to this definition">#</a></dt>
 <dd><p>Cell for Sequential User Matrix</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build" title="Link to this definition">#</a></dt>
 <dd><p>Creates the variables of the layer (optional, for subclass implementers).</p>
 <p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
 can override if they need a state-creation step in-between
@@ -2003,7 +2584,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call" title="Link to this definition">#</a></dt>
 <dd><p>The real operations for SUM cell to process user behaviors.</p>
 <dl class="simple">
 <dt>params:</dt><dd><p>inputs: (a batch of) user behaviors at time T
@@ -2026,7 +2607,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config">
-<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell.get_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell.get_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config" title="Link to this definition">#</a></dt>
 <dd><p>Returns the config of the layer.</p>
 <p>A layer config is a Python dictionary (serializable)
 containing the configuration of a layer.
@@ -2047,7 +2628,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size" title="Link to this definition">#</a></dt>
 <dd><p>size of outputs produced by this cell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2058,7 +2639,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size" title="Link to this definition">#</a></dt>
 <dd><p>size(s) of state(s) used by this cell.</p>
 <p>It can be represented by an Integer, a TensorShape or a tuple of Integers
 or TensorShapes.</p>
@@ -2068,11 +2649,11 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum_cells.</span></span><span class="sig-name descname"><span class="pre">SUMV2Cell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMV2Cell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum_cells.</span></span><span class="sig-name descname"><span class="pre">SUMV2Cell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMV2Cell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell" title="Link to this definition">#</a></dt>
 <dd><p>A variant of SUM cell, which upgrades the writing attention</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build" title="Link to this definition">#</a></dt>
 <dd><p>Creates the variables of the layer (optional, for subclass implementers).</p>
 <p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
 can override if they need a state-creation step in-between
@@ -2091,7 +2672,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMV2Cell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMV2Cell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call" title="Link to this definition">#</a></dt>
 <dd><p>The real operations for SUMV2 cell to process user behaviors.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2114,10 +2695,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.sli_rec">
-<span id="slirec"></span><h2>SLIRec<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sli_rec" title="Permalink to this heading">#</a></h2>
+<span id="slirec"></span><h2>SLIRec<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sli_rec" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sli_rec.</span></span><span class="sig-name descname"><span class="pre">SLI_RECModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sli_rec.html#SLI_RECModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sli_rec.</span></span><span class="sig-name descname"><span class="pre">SLI_RECModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sli_rec.html#SLI_RECModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel" title="Link to this definition">#</a></dt>
 <dd><p>SLI Rec model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -2131,14 +2712,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.fastai.fastai_utils">
-<span id="fastai-utilities"></span><h2>FastAI utilities<a class="headerlink" href="#module-recommenders.models.fastai.fastai_utils" title="Permalink to this heading">#</a></h2>
+<span id="fastai-utilities"></span><h2>FastAI utilities<a class="headerlink" href="#module-recommenders.models.fastai.fastai_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.fastai.fastai_utils.cartesian_product">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">cartesian_product</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">arrays</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#cartesian_product"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.cartesian_product" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">cartesian_product</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">arrays</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#cartesian_product"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.cartesian_product" title="Link to this definition">#</a></dt>
 <dd><p>Compute the Cartesian product in fastai algo. This is a helper function.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>arrays</strong> (<em>tuple of numpy.ndarray</em>) – Input arrays</p>
+<dd class="field-odd"><p><strong>arrays</strong> (<em>tuple</em><em> of </em><em>numpy.ndarray</em>) – Input arrays</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>product</p>
@@ -2151,13 +2732,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">hide_fastai_progress_bar</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#hide_fastai_progress_bar"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">hide_fastai_progress_bar</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#hide_fastai_progress_bar"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar" title="Link to this definition">#</a></dt>
 <dd><p>Hide fastai progress bar</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.fastai.fastai_utils.score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prediction_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prediction_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.score" title="Link to this definition">#</a></dt>
 <dd><p>Score all users+items provided and reduce to top_k items per user if top_k&gt;0</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2181,10 +2762,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.lightfm.lightfm_utils">
-<span id="lightfm-utilities"></span><h2>LightFM utilities<a class="headerlink" href="#module-recommenders.models.lightfm.lightfm_utils" title="Permalink to this heading">#</a></h2>
+<span id="lightfm-utilities"></span><h2>LightFM utilities<a class="headerlink" href="#module-recommenders.models.lightfm.lightfm_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.compare_metric">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">compare_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prec'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'test'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#compare_metric"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.compare_metric" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">compare_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prec'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'test'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#compare_metric"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.compare_metric" title="Link to this definition">#</a></dt>
 <dd><p>Function to combine and prepare list of dataframes into tidy format.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2205,7 +2786,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.model_perf_plots">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">model_perf_plots</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#model_perf_plots"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.model_perf_plots" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">model_perf_plots</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#model_perf_plots"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.model_perf_plots" title="Link to this definition">#</a></dt>
 <dd><p>Function to plot model performance metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2222,7 +2803,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.prepare_all_predictions">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_all_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_threads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#prepare_all_predictions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_all_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_threads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#prepare_all_predictions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions" title="Link to this definition">#</a></dt>
 <dd><p>Function to prepare all predictions for evaluation.
 :param data: dataframe of all users, items and ratings as loaded
 :type data: pandas df
@@ -2252,7 +2833,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.prepare_test_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_test_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#prepare_test_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.prepare_test_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_test_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#prepare_test_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.prepare_test_df" title="Link to this definition">#</a></dt>
 <dd><p>Function to prepare test df for evaluation</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2276,7 +2857,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.similar_items">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">similar_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">item_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#similar_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.similar_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">similar_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">item_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#similar_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.similar_items" title="Link to this definition">#</a></dt>
 <dd><p>Function to return top N similar items
 based on <a class="github reference external" href="https://github.com/lyst/lightfm/issues/244#issuecomment-355305681">lyst/lightfm#244</a></p>
 <dl class="field-list simple">
@@ -2299,7 +2880,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.similar_users">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">similar_users</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#similar_users"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.similar_users" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">similar_users</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#similar_users"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.similar_users" title="Link to this definition">#</a></dt>
 <dd><p>Function to return top N similar users based on <a class="github reference external" href="https://github.com/lyst/lightfm/issues/244#issuecomment-355305681">lyst/lightfm#244</a></p>
 <blockquote>
 <div><dl class="simple">
@@ -2322,7 +2903,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.track_model_metrics">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">track_model_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_threads</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#track_model_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.track_model_metrics" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">track_model_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_threads</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#track_model_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.track_model_metrics" title="Link to this definition">#</a></dt>
 <dd><p>Function to record model’s performance at each epoch, formats the performance into tidy format,
 plots the performance and outputs the performance data.</p>
 <dl class="field-list simple">
@@ -2353,15 +2934,15 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.lightgbm.lightgbm_utils">
-<span id="lightgbm-utilities"></span><h2>LightGBM utilities<a class="headerlink" href="#module-recommenders.models.lightgbm.lightgbm_utils" title="Permalink to this heading">#</a></h2>
+<span id="lightgbm-utilities"></span><h2>LightGBM utilities<a class="headerlink" href="#module-recommenders.models.lightgbm.lightgbm_utils" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.lightgbm.lightgbm_utils.NumEncoder">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.lightgbm.lightgbm_utils.</span></span><span class="sig-name descname"><span class="pre">NumEncoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cate_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nume_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thresrate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.99</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.lightgbm.lightgbm_utils.</span></span><span class="sig-name descname"><span class="pre">NumEncoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cate_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nume_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thresrate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.99</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder" title="Link to this definition">#</a></dt>
 <dd><p>Encode all the categorical features into numerical ones by sequential label encoding, sequential count encoding,
 and binary encoding. Additionally, it also filters the low-frequency categories and fills the missing values.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform">
-<span class="sig-name descname"><span class="pre">fit_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder.fit_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder.fit_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform" title="Link to this definition">#</a></dt>
 <dd><p>Input a training set (pandas.DataFrame) and return the converted 2 numpy.ndarray (x,y).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2378,7 +2959,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform">
-<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform" title="Link to this definition">#</a></dt>
 <dd><p>Input a testing / validation set (pandas.DataFrame) and return the converted 2 numpy.ndarray (x,y).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2397,7 +2978,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightgbm.lightgbm_utils.unpackbits">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightgbm.lightgbm_utils.</span></span><span class="sig-name descname"><span class="pre">unpackbits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_bits</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#unpackbits"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.unpackbits" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightgbm.lightgbm_utils.</span></span><span class="sig-name descname"><span class="pre">unpackbits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_bits</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#unpackbits"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.unpackbits" title="Link to this definition">#</a></dt>
 <dd><p>Convert a decimal value numpy.ndarray into multi-binary value numpy.ndarray ([1,2]-&gt;[[0,1],[1,0]])</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2411,16 +2992,16 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.ncf.dataset">
-<span id="ncf"></span><h2>NCF<a class="headerlink" href="#module-recommenders.models.ncf.dataset" title="Permalink to this heading">#</a></h2>
+<span id="ncf"></span><h2>NCF<a class="headerlink" href="#module-recommenders.models.ncf.dataset" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.DataFile">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">DataFile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_test_batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">DataFile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_test_batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile" title="Link to this definition">#</a></dt>
 <dd><p>DataFile class for NCF. Iterator to read data from a csv file.
 Data must be sorted by user. Includes utilities for loading user data from
 file, formatting it and returning a Pandas dataframe.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.DataFile.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_test_batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_test_batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2438,7 +3019,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.DataFile.load_data">
-<span class="sig-name descname"><span class="pre">load_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">by_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile.load_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile.load_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">by_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile.load_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile.load_data" title="Link to this definition">#</a></dt>
 <dd><p>Load data for a specified user or test batch</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2457,11 +3038,11 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.Dataset">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">Dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite_test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg_test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">Dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite_test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg_test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset" title="Link to this definition">#</a></dt>
 <dd><p>Dataset class for NCF</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.Dataset.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite_test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg_test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite_test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg_test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2488,7 +3069,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.Dataset.test_loader">
-<span class="sig-name descname"><span class="pre">test_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yield_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.test_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.test_loader" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">test_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yield_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.test_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.test_loader" title="Link to this definition">#</a></dt>
 <dd><p>Generator for serving batches of test data for leave-one-out evaluation. Data is loaded from test_file_full.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2502,7 +3083,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.Dataset.train_loader">
-<span class="sig-name descname"><span class="pre">train_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">yield_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_to</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.train_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.train_loader" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">yield_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_to</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.train_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.train_loader" title="Link to this definition">#</a></dt>
 <dd><p>Generator for serving batches of training data. Positive examples are loaded from the
 original training file, to which negative samples are added. Data is loaded in memory into a
 shuffle buffer up to a maximum of shuffle_size rows, before the data is shuffled and released.
@@ -2526,35 +3107,35 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.EmptyFileException">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">EmptyFileException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#EmptyFileException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.EmptyFileException" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">EmptyFileException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#EmptyFileException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.EmptyFileException" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised if file is empty</p>
 </dd></dl>
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.FileNotSortedException">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">FileNotSortedException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#FileNotSortedException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.FileNotSortedException" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">FileNotSortedException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#FileNotSortedException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.FileNotSortedException" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised if file is not sorted correctly</p>
 </dd></dl>
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.MissingFieldsException">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">MissingFieldsException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#MissingFieldsException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.MissingFieldsException" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">MissingFieldsException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#MissingFieldsException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.MissingFieldsException" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised if file is missing expected fields</p>
 </dd></dl>
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.MissingUserException">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">MissingUserException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#MissingUserException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.MissingUserException" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">MissingUserException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#MissingUserException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.MissingUserException" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised if user is not in file</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.NegativeSampler">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">NegativeSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_positive_item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">NegativeSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_positive_item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler" title="Link to this definition">#</a></dt>
 <dd><p>NegativeSampler class for NCF. Samples a subset of negative items from a given population of items.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.NegativeSampler.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_positive_item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_positive_item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2575,16 +3156,16 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.NegativeSampler.sample">
-<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler.sample" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler.sample" title="Link to this definition">#</a></dt>
 <dd><p>Method for sampling uniformly from a population of negative items</p>
 <p>Returns: list</p>
 </dd></dl>
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.ncf.ncf_singlenode"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.ncf.ncf_singlenode">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.ncf_singlenode.</span></span><span class="sig-name descname"><span class="pre">NCF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'NeuMF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_sizes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[16,</span> <span class="pre">8,</span> <span class="pre">4]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.ncf_singlenode.</span></span><span class="sig-name descname"><span class="pre">NCF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'NeuMF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_sizes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[16,</span> <span class="pre">8,</span> <span class="pre">4]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF" title="Link to this definition">#</a></dt>
 <dd><p>Neural Collaborative Filtering (NCF) implementation</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -2595,7 +3176,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'NeuMF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_sizes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[16,</span> <span class="pre">8,</span> <span class="pre">4]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'NeuMF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_sizes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[16,</span> <span class="pre">8,</span> <span class="pre">4]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2617,7 +3198,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit model with training data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2628,7 +3209,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.load">
-<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gmf_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mlp_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neumf_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.load" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gmf_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mlp_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neumf_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.load" title="Link to this definition">#</a></dt>
 <dd><p>Load model parameters for further use.</p>
 <p>GMF model –&gt; load parameters in <cite>gmf_dir</cite></p>
 <p>MLP model –&gt; load parameters in <cite>mlp_dir</cite></p>
@@ -2653,13 +3234,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_list</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_list</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.predict" title="Link to this definition">#</a></dt>
 <dd><p>Predict function of this trained model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>user_input</strong> (<em>list</em><em> or </em><em>element of list</em>) – userID or userID list</p></li>
-<li><p><strong>item_input</strong> (<em>list</em><em> or </em><em>element of list</em>) – itemID or itemID list</p></li>
+<li><p><strong>user_input</strong> (<em>list</em><em> or </em><em>element</em><em> of </em><em>list</em>) – userID or userID list</p></li>
+<li><p><strong>item_input</strong> (<em>list</em><em> or </em><em>element</em><em> of </em><em>list</em>) – itemID or itemID list</p></li>
 <li><p><strong>is_list</strong> (<em>bool</em>) – if true, the input is list type
 noting that list-wise type prediction is faster than element-wise’s.</p></li>
 </ul>
@@ -2675,7 +3256,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.save">
-<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dir_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.save" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dir_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.save" title="Link to this definition">#</a></dt>
 <dd><p>Save model parameters in <cite>dir_name</cite></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2689,16 +3270,16 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="newsrec-utilities">
-<h2>NewsRec utilities<a class="headerlink" href="#newsrec-utilities" title="Permalink to this heading">#</a></h2>
+<h2>NewsRec utilities<a class="headerlink" href="#newsrec-utilities" title="Link to this heading">#</a></h2>
 <section id="id1">
-<h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading">#</a></h3>
-<span class="target" id="module-recommenders.models.newsrec.models.base_model"></span><dl class="py class">
+<h3>Base model<a class="headerlink" href="#id1" title="Link to this heading">#</a></h3>
+<dl class="py class" id="module-recommenders.models.newsrec.models.base_model">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel" title="Link to this definition">#</a></dt>
 <dd><p>Basic class of models</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.hparams">
-<span class="sig-name descname"><span class="pre">hparams</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparams</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.hparams" title="Link to this definition">#</a></dt>
 <dd><p>A HParams object, holds the entire set of hyperparameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2709,7 +3290,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.train_iterator">
-<span class="sig-name descname"><span class="pre">train_iterator</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.train_iterator" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train_iterator</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.train_iterator" title="Link to this definition">#</a></dt>
 <dd><p>An iterator to load the data in training steps.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2720,7 +3301,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.test_iterator">
-<span class="sig-name descname"><span class="pre">test_iterator</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.test_iterator" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">test_iterator</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.test_iterator" title="Link to this definition">#</a></dt>
 <dd><p>An iterator to load the data in testing steps.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2731,7 +3312,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.graph">
-<span class="sig-name descname"><span class="pre">graph</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.graph" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">graph</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.graph" title="Link to this definition">#</a></dt>
 <dd><p>An optional graph.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2742,7 +3323,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.seed">
-<span class="sig-name descname"><span class="pre">seed</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.seed" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">seed</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.seed" title="Link to this definition">#</a></dt>
 <dd><p>Random seed.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2753,7 +3334,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializing the model. Create common logics which are needed by all deeprec models, such as loss function,
 parameter set.</p>
 <dl class="field-list simple">
@@ -2770,7 +3351,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.eval">
-<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">eval_batch_data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">eval_batch_data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the data in feed_dict with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2790,7 +3371,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_behaviors_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_behaviors_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_news_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_behaviors_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_behaviors_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_behaviors_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_news_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_behaviors_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the model with train_file. Evaluate the model on valid_file per epoch to observe the training status.
 If test_news_file is not None, evaluate it too.</p>
 <dl class="field-list simple">
@@ -2812,7 +3393,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.group_labels">
-<span class="sig-name descname"><span class="pre">group_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.group_labels"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.group_labels" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">group_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.group_labels"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.group_labels" title="Link to this definition">#</a></dt>
 <dd><p>Devide labels and preds into several group according to values in group keys.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2838,7 +3419,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the given file and returns some evaluation metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2855,7 +3436,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.train">
-<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_batch_data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.train" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_batch_data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.train" title="Link to this definition">#</a></dt>
 <dd><p>Go through the optimization step once with training data in feed_dict.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2877,10 +3458,10 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 </section>
 <section id="id2">
-<h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading">#</a></h3>
-<span class="target" id="module-recommenders.models.newsrec.io.mind_iterator"></span><dl class="py class">
+<h3>Iterators<a class="headerlink" href="#id2" title="Link to this heading">#</a></h3>
+<dl class="py class" id="module-recommenders.models.newsrec.io.mind_iterator">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.io.mind_iterator.</span></span><span class="sig-name descname"><span class="pre">MINDIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.io.mind_iterator.</span></span><span class="sig-name descname"><span class="pre">MINDIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator" title="Link to this definition">#</a></dt>
 <dd><p>Train data loader for NAML model.
 The model require a special type of data format, where each instance contains a label, impresion id, user id,
 the candidate news articles and user’s clicked news article. Articles are represented by title words,
@@ -2889,7 +3470,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 per mini-batch, so that large files can be used as input data.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter">
-<span class="sig-name descname"><span class="pre">col_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">col_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter" title="Link to this definition">#</a></dt>
 <dd><p>column spliter in one line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2900,7 +3481,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter">
-<span class="sig-name descname"><span class="pre">ID_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ID_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter" title="Link to this definition">#</a></dt>
 <dd><p>ID spliter in one line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2911,7 +3492,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size">
-<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size" title="Link to this definition">#</a></dt>
 <dd><p>the samples num in one batch.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2922,7 +3503,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size">
-<span class="sig-name descname"><span class="pre">title_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">title_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size" title="Link to this definition">#</a></dt>
 <dd><p>max word num in news title.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2933,7 +3514,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size">
-<span class="sig-name descname"><span class="pre">his_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">his_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size" title="Link to this definition">#</a></dt>
 <dd><p>max clicked news num in user click history.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2944,7 +3525,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio">
-<span class="sig-name descname"><span class="pre">npratio</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">npratio</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio" title="Link to this definition">#</a></dt>
 <dd><p>negaive and positive ratio used in negative sampling. -1 means no need of negtive sampling.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2955,7 +3536,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2971,7 +3552,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors">
-<span class="sig-name descname"><span class="pre">init_behaviors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.init_behaviors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_behaviors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.init_behaviors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors" title="Link to this definition">#</a></dt>
 <dd><p>init behavior logs given behaviors file.</p>
 <p>Args:
 behaviors_file: path of behaviors file</p>
@@ -2979,14 +3560,14 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news">
-<span class="sig-name descname"><span class="pre">init_news</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.init_news"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_news</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.init_news"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news" title="Link to this definition">#</a></dt>
 <dd><p>init news information given news file, such as news_title_index and nid2index.
 :param news_file: path of news file</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from news file and behavior file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3003,7 +3584,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict">
-<span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict" title="Link to this definition">#</a></dt>
 <dd><p>load pickle file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3020,7 +3601,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file">
-<span class="sig-name descname"><span class="pre">load_impression_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaivors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_impression_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_impression_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaivors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_impression_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse impression data from behaivors file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3034,7 +3615,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file">
-<span class="sig-name descname"><span class="pre">load_news_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_news_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_news_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_news_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse user data from news file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3048,7 +3629,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file">
-<span class="sig-name descname"><span class="pre">load_user_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_user_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_user_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_user_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse user data from news file and behavior file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3065,7 +3646,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one behavior sample into feature values.
 if npratio is larger than 0, return negtive sampled result.</p>
 <dl class="field-list simple">
@@ -3081,9 +3662,9 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.newsrec.io.mind_all_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.newsrec.io.mind_all_iterator">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.io.mind_all_iterator.</span></span><span class="sig-name descname"><span class="pre">MINDAllIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.io.mind_all_iterator.</span></span><span class="sig-name descname"><span class="pre">MINDAllIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator" title="Link to this definition">#</a></dt>
 <dd><p>Train data loader for NAML model.
 The model require a special type of data format, where each instance contains a label, impresion id, user id,
 the candidate news articles and user’s clicked news article. Articles are represented by title words,
@@ -3092,7 +3673,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 per mini-batch, so that large files can be used as input data.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter">
-<span class="sig-name descname"><span class="pre">col_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">col_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter" title="Link to this definition">#</a></dt>
 <dd><p>column spliter in one line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3103,7 +3684,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter">
-<span class="sig-name descname"><span class="pre">ID_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ID_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter" title="Link to this definition">#</a></dt>
 <dd><p>ID spliter in one line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3114,7 +3695,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size">
-<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size" title="Link to this definition">#</a></dt>
 <dd><p>the samples num in one batch.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3125,7 +3706,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size">
-<span class="sig-name descname"><span class="pre">title_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">title_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size" title="Link to this definition">#</a></dt>
 <dd><p>max word num in news title.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3136,7 +3717,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size">
-<span class="sig-name descname"><span class="pre">body_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">body_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size" title="Link to this definition">#</a></dt>
 <dd><p>max word num in news body (abstract used in MIND).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3147,7 +3728,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size">
-<span class="sig-name descname"><span class="pre">his_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">his_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size" title="Link to this definition">#</a></dt>
 <dd><p>max clicked news num in user click history.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3158,7 +3739,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio">
-<span class="sig-name descname"><span class="pre">npratio</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">npratio</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio" title="Link to this definition">#</a></dt>
 <dd><p>negaive and positive ratio used in negative sampling. -1 means no need of negtive sampling.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3169,7 +3750,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3185,7 +3766,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors">
-<span class="sig-name descname"><span class="pre">init_behaviors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.init_behaviors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_behaviors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.init_behaviors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors" title="Link to this definition">#</a></dt>
 <dd><p>Init behavior logs given behaviors file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3196,7 +3777,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news">
-<span class="sig-name descname"><span class="pre">init_news</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.init_news"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_news</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.init_news"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news" title="Link to this definition">#</a></dt>
 <dd><p>Init news information given news file, such as <cite>news_title_index</cite>, <cite>news_abstract_index</cite>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3207,7 +3788,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3224,7 +3805,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict">
-<span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict" title="Link to this definition">#</a></dt>
 <dd><p>Load pickled file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3241,7 +3822,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file">
-<span class="sig-name descname"><span class="pre">load_impression_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaivors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_impression_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_impression_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaivors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_impression_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse impression data from behaivors file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3255,7 +3836,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file">
-<span class="sig-name descname"><span class="pre">load_news_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_news_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_news_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_news_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse user data from news file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3269,7 +3850,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file">
-<span class="sig-name descname"><span class="pre">load_user_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_user_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_user_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_user_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse user data from news file and behavior file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3286,7 +3867,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3306,14 +3887,14 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 </section>
 <section id="id3">
-<h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading">#</a></h3>
-<span class="target" id="module-recommenders.models.newsrec.models.layers"></span><dl class="py class">
+<h3>Utilities<a class="headerlink" href="#id3" title="Link to this heading">#</a></h3>
+<dl class="py class" id="module-recommenders.models.newsrec.models.layers">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">AttLayer2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">AttLayer2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2" title="Link to this definition">#</a></dt>
 <dd><p>Soft alignment attention implement.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.dim">
-<span class="sig-name descname"><span class="pre">dim</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.dim" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">dim</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.dim" title="Link to this definition">#</a></dt>
 <dd><p>attention hidden dim</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3324,7 +3905,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for AttLayer2.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3335,7 +3916,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.build" title="Link to this definition">#</a></dt>
 <dd><p>Initialization for variables in AttLayer2
 There are there variables in AttLayer2, i.e. W, b and q.</p>
 <dl class="field-list simple">
@@ -3347,7 +3928,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.call" title="Link to this definition">#</a></dt>
 <dd><p>Core implementation of soft attention.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3364,7 +3945,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.compute_mask">
-<span class="sig-name descname"><span class="pre">compute_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.compute_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.compute_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask" title="Link to this definition">#</a></dt>
 <dd><p>Compte output mask value.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3384,7 +3965,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape">
-<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape" title="Link to this definition">#</a></dt>
 <dd><p>Compute shape of output tensor.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3403,7 +3984,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.ComputeMasking">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">ComputeMasking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">ComputeMasking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking" title="Link to this definition">#</a></dt>
 <dd><p>Compute if inputs contains zero value.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -3415,7 +3996,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.ComputeMasking.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking.call" title="Link to this definition">#</a></dt>
 <dd><p>Call method for ComputeMasking.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3432,7 +4013,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape">
-<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape" title="Link to this definition">#</a></dt>
 <dd><p>Computes the output shape of the layer.</p>
 <p>This method will cause the layer’s state to be built, if that has not
 happened before. This requires that the layer will later be used with
@@ -3454,7 +4035,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.OverwriteMasking">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">OverwriteMasking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">OverwriteMasking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking" title="Link to this definition">#</a></dt>
 <dd><p>Set values at specific positions to zero.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3469,7 +4050,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.OverwriteMasking.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.build" title="Link to this definition">#</a></dt>
 <dd><p>Creates the variables of the layer (optional, for subclass implementers).</p>
 <p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
 can override if they need a state-creation step in-between
@@ -3488,7 +4069,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.OverwriteMasking.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.call" title="Link to this definition">#</a></dt>
 <dd><p>Call method for OverwriteMasking.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3505,7 +4086,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape">
-<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape" title="Link to this definition">#</a></dt>
 <dd><p>Computes the output shape of the layer.</p>
 <p>This method will cause the layer’s state to be built, if that has not
 happened before. This requires that the layer will later be used with
@@ -3527,11 +4108,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">PersonalizedAttentivePooling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dim1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#PersonalizedAttentivePooling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">PersonalizedAttentivePooling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dim1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#PersonalizedAttentivePooling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling" title="Link to this definition">#</a></dt>
 <dd><p>Soft alignment attention implement.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.dim1">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim1</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim1" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim1</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim1" title="Link to this definition">#</a></dt>
 <dd><p>first dimention of value shape.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3542,7 +4123,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.dim2">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim2</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim2" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim2</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim2" title="Link to this definition">#</a></dt>
 <dd><p>second dimention of value shape.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3553,7 +4134,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.dim3">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim3</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim3" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim3</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim3" title="Link to this definition">#</a></dt>
 <dd><p>shape of query</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3574,7 +4155,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">SelfAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">SelfAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention" title="Link to this definition">#</a></dt>
 <dd><p>Multi-head self attention implement.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3593,7 +4174,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.Mask">
-<span class="sig-name descname"><span class="pre">Mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'add'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.Mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.Mask" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">Mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'add'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.Mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.Mask" title="Link to this definition">#</a></dt>
 <dd><p>Mask operation used in multi-head self attention</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3613,7 +4194,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">multiheads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">head_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_right</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">multiheads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">head_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_right</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for AttLayer2.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3628,7 +4209,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.build" title="Link to this definition">#</a></dt>
 <dd><p>Initialization for variables in SelfAttention.
 There are three variables in SelfAttention, i.e. WQ, WK ans WV.
 WQ is used for linear transformation of query.
@@ -3643,7 +4224,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">QKVs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">QKVs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.call" title="Link to this definition">#</a></dt>
 <dd><p>Core logic of multi-head self attention.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3660,7 +4241,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape">
-<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape" title="Link to this definition">#</a></dt>
 <dd><p>Compute shape of output tensor.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -3674,7 +4255,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.get_config">
-<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.get_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.get_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.get_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.get_config" title="Link to this definition">#</a></dt>
 <dd><p>add multiheads, multiheads and mask_right into layer config.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -3688,9 +4269,9 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.newsrec.newsrec_utils"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.models.newsrec.newsrec_utils">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.check_nn_config">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">check_nn_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#check_nn_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.check_nn_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">check_nn_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#check_nn_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.check_nn_config" title="Link to this definition">#</a></dt>
 <dd><p>Check neural networks configuration.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3704,7 +4285,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.check_type">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">check_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#check_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.check_type" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">check_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#check_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.check_type" title="Link to this definition">#</a></dt>
 <dd><p>Check that the config parameters are the correct type</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3718,7 +4299,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.create_hparams">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">create_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">flags</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#create_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.create_hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">create_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">flags</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#create_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.create_hparams" title="Link to this definition">#</a></dt>
 <dd><p>Create the model hyperparameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3735,7 +4316,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.get_mind_data_set">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">get_mind_data_set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">type</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#get_mind_data_set"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.get_mind_data_set" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">get_mind_data_set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">type</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#get_mind_data_set"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.get_mind_data_set" title="Link to this definition">#</a></dt>
 <dd><p>Get MIND dataset address</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3752,7 +4333,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.newsample">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">newsample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#newsample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.newsample" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">newsample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#newsample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.newsample" title="Link to this definition">#</a></dt>
 <dd><p>Sample ratio samples from news list.
 If length of news is less than ratio, pad zeros.</p>
 <dl class="field-list simple">
@@ -3773,7 +4354,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.prepare_hparams">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#prepare_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.prepare_hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#prepare_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.prepare_hparams" title="Link to this definition">#</a></dt>
 <dd><p>Prepare the model hyperparameters and check that all have the correct value.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3790,7 +4371,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.word_tokenize">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">word_tokenize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#word_tokenize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.word_tokenize" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">word_tokenize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#word_tokenize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.word_tokenize" title="Link to this definition">#</a></dt>
 <dd><p>Split sentence into word list using regex.
 :param sent: Input sentence
 :type sent: str</p>
@@ -3807,16 +4388,16 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </section>
 </section>
 <section id="module-recommenders.models.newsrec.models.lstur">
-<span id="lstur"></span><h2>LSTUR<a class="headerlink" href="#module-recommenders.models.newsrec.models.lstur" title="Permalink to this heading">#</a></h2>
+<span id="lstur"></span><h2>LSTUR<a class="headerlink" href="#module-recommenders.models.newsrec.models.lstur" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.lstur.LSTURModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.lstur.</span></span><span class="sig-name descname"><span class="pre">LSTURModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/lstur.html#LSTURModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.lstur.</span></span><span class="sig-name descname"><span class="pre">LSTURModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/lstur.html#LSTURModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel" title="Link to this definition">#</a></dt>
 <dd><p>LSTUR model(Neural News Recommendation with Multi-Head Self-Attention)</p>
 <p>Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie:
 Neural News Recommendation with Long- and Short-term User Representations, ACL 2019</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding">
-<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Pretrained word embedding matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3827,7 +4408,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.lstur.LSTURModel.hparam">
-<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.hparam" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.hparam" title="Link to this definition">#</a></dt>
 <dd><p>Global hyper-parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3838,7 +4419,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.lstur.LSTURModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/lstur.html#LSTURModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/lstur.html#LSTURModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for LSTUR.
 Compared with the BaseModel, LSTUR need word embedding.
 After creating word embedding matrix, BaseModel’s __init__ method will be called.</p>
@@ -3857,16 +4438,16 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.newsrec.models.naml">
-<span id="naml"></span><h2>NAML<a class="headerlink" href="#module-recommenders.models.newsrec.models.naml" title="Permalink to this heading">#</a></h2>
+<span id="naml"></span><h2>NAML<a class="headerlink" href="#module-recommenders.models.newsrec.models.naml" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.naml.NAMLModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.naml.</span></span><span class="sig-name descname"><span class="pre">NAMLModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/naml.html#NAMLModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.naml.</span></span><span class="sig-name descname"><span class="pre">NAMLModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/naml.html#NAMLModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel" title="Link to this definition">#</a></dt>
 <dd><p>NAML model(Neural News Recommendation with Attentive Multi-View Learning)</p>
 <p>Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie,
 Neural News Recommendation with Attentive Multi-View Learning, IJCAI 2019</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding">
-<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Pretrained word embedding matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3877,7 +4458,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.naml.NAMLModel.hparam">
-<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.hparam" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.hparam" title="Link to this definition">#</a></dt>
 <dd><p>Global hyper-parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3888,7 +4469,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.naml.NAMLModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/naml.html#NAMLModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/naml.html#NAMLModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for NAML.
 Compared with the BaseModel, NAML need word embedding.
 After creating word embedding matrix, BaseModel’s __init__ method will be called.</p>
@@ -3907,16 +4488,16 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.newsrec.models.npa">
-<span id="npa"></span><h2>NPA<a class="headerlink" href="#module-recommenders.models.newsrec.models.npa" title="Permalink to this heading">#</a></h2>
+<span id="npa"></span><h2>NPA<a class="headerlink" href="#module-recommenders.models.newsrec.models.npa" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.npa.NPAModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.npa.</span></span><span class="sig-name descname"><span class="pre">NPAModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/npa.html#NPAModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.npa.</span></span><span class="sig-name descname"><span class="pre">NPAModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/npa.html#NPAModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel" title="Link to this definition">#</a></dt>
 <dd><p>NPA model(Neural News Recommendation with Attentive Multi-View Learning)</p>
 <p>Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie:
 NPA: Neural News Recommendation with Personalized Attention, KDD 2019, ADS track.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding">
-<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Pretrained word embedding matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3927,7 +4508,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.npa.NPAModel.hparam">
-<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.hparam" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.hparam" title="Link to this definition">#</a></dt>
 <dd><p>Global hyper-parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3938,7 +4519,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.npa.NPAModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/npa.html#NPAModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/npa.html#NPAModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for MANL.
 Compared with the BaseModel, NPA need word embedding.
 After creating word embedding matrix, BaseModel’s __init__ method will be called.</p>
@@ -3957,10 +4538,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.newsrec.models.nrms">
-<span id="nrms"></span><h2>NRMS<a class="headerlink" href="#module-recommenders.models.newsrec.models.nrms" title="Permalink to this heading">#</a></h2>
+<span id="nrms"></span><h2>NRMS<a class="headerlink" href="#module-recommenders.models.newsrec.models.nrms" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.nrms.NRMSModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.nrms.</span></span><span class="sig-name descname"><span class="pre">NRMSModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/nrms.html#NRMSModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.nrms.</span></span><span class="sig-name descname"><span class="pre">NRMSModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/nrms.html#NRMSModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel" title="Link to this definition">#</a></dt>
 <dd><p>NRMS model(Neural News Recommendation with Multi-Head Self-Attention)</p>
 <p>Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang,and Xing Xie, “Neural News
 Recommendation with Multi-Head Self-Attention” in Proceedings of the 2019 Conference
@@ -3968,7 +4549,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 on Natural Language Processing (EMNLP-IJCNLP)</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding">
-<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Pretrained word embedding matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3979,7 +4560,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.nrms.NRMSModel.hparam">
-<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.hparam" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.hparam" title="Link to this definition">#</a></dt>
 <dd><p>Global hyper-parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3990,7 +4571,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.nrms.NRMSModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/nrms.html#NRMSModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/nrms.html#NRMSModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for NRMS.
 Compared with the BaseModel, NRMS need word embedding.
 After creating word embedding matrix, BaseModel’s __init__ method will be called.</p>
@@ -4009,14 +4590,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.rbm.rbm">
-<span id="rbm"></span><h2>RBM<a class="headerlink" href="#module-recommenders.models.rbm.rbm" title="Permalink to this heading">#</a></h2>
+<span id="rbm"></span><h2>RBM<a class="headerlink" href="#module-recommenders.models.rbm.rbm" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.rbm.rbm.</span></span><span class="sig-name descname"><span class="pre">RBM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">possible_ratings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">visible_units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_stdv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.004</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minibatch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_protocol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[50,</span> <span class="pre">70,</span> <span class="pre">80,</span> <span class="pre">90,</span> <span class="pre">100]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.rbm.rbm.</span></span><span class="sig-name descname"><span class="pre">RBM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">possible_ratings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">visible_units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_stdv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.004</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minibatch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_protocol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[50,</span> <span class="pre">70,</span> <span class="pre">80,</span> <span class="pre">90,</span> <span class="pre">100]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM" title="Link to this definition">#</a></dt>
 <dd><p>Restricted  Boltzmann Machine</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">possible_ratings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">visible_units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_stdv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.004</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minibatch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_protocol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[50,</span> <span class="pre">70,</span> <span class="pre">80,</span> <span class="pre">90,</span> <span class="pre">100]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">possible_ratings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">visible_units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_stdv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.004</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minibatch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_protocol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[50,</span> <span class="pre">70,</span> <span class="pre">80,</span> <span class="pre">90,</span> <span class="pre">100]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Implementation of a multinomial Restricted Boltzmann Machine for collaborative filtering
 in numpy/pandas/tensorflow</p>
 <p>Based on the article by Ruslan Salakhutdinov, Andriy Mnih and Geoffrey Hinton
@@ -4051,7 +4632,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.batch_training">
-<span class="sig-name descname"><span class="pre">batch_training</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_minibatches</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.batch_training"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.batch_training" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">batch_training</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_minibatches</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.batch_training"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.batch_training" title="Link to this definition">#</a></dt>
 <dd><p>Perform training over input minibatches. If <cite>self.with_metrics</cite> is False,
 no online metrics are evaluated.</p>
 <dl class="field-list simple">
@@ -4069,7 +4650,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.binomial_sampling">
-<span class="sig-name descname"><span class="pre">binomial_sampling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.binomial_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.binomial_sampling" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">binomial_sampling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.binomial_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.binomial_sampling" title="Link to this definition">#</a></dt>
 <dd><p>Binomial sampling of hidden units activations using a rejection method.</p>
 <p>Basic mechanics:</p>
 <p>1) Extract a random number from a uniform distribution (g) and compare it with
@@ -4094,19 +4675,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.data_pipeline">
-<span class="sig-name descname"><span class="pre">data_pipeline</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.data_pipeline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.data_pipeline" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">data_pipeline</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.data_pipeline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.data_pipeline" title="Link to this definition">#</a></dt>
 <dd><p>Define the data pipeline</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.eval_out">
-<span class="sig-name descname"><span class="pre">eval_out</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.eval_out"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.eval_out" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">eval_out</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.eval_out"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.eval_out" title="Link to this definition">#</a></dt>
 <dd><p>Implement multinomial sampling from a trained model</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xtr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xtr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit method</p>
 <p>Training in generative models takes place in two steps:</p>
 <ol class="arabic simple">
@@ -4130,7 +4711,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.free_energy">
-<span class="sig-name descname"><span class="pre">free_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.free_energy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.free_energy" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">free_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.free_energy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.free_energy" title="Link to this definition">#</a></dt>
 <dd><p>Free energy of the visible units given the hidden units. Since the sum is over the hidden units’
 states, the functional form of the visible units Free energy is the same as the one for the binary model.</p>
 <dl class="field-list simple">
@@ -4148,13 +4729,13 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.generate_graph">
-<span class="sig-name descname"><span class="pre">generate_graph</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.generate_graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.generate_graph" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">generate_graph</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.generate_graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.generate_graph" title="Link to this definition">#</a></dt>
 <dd><p>Call the different RBM modules to generate the computational graph</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.gibbs_protocol">
-<span class="sig-name descname"><span class="pre">gibbs_protocol</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.gibbs_protocol"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.gibbs_protocol" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gibbs_protocol</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.gibbs_protocol"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.gibbs_protocol" title="Link to this definition">#</a></dt>
 <dd><p>Gibbs protocol.</p>
 <p>Basic mechanics:</p>
 <p>If the current epoch i is in the interval specified in the training protocol,
@@ -4169,7 +4750,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.gibbs_sampling">
-<span class="sig-name descname"><span class="pre">gibbs_sampling</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.gibbs_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.gibbs_sampling" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gibbs_sampling</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.gibbs_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.gibbs_sampling" title="Link to this definition">#</a></dt>
 <dd><p>Gibbs sampling: Determines an estimate of the model configuration via sampling. In the binary
 RBM we need to impose that unseen movies stay as such, i.e. the sampling phase should not modify
 the elements where v=0.</p>
@@ -4195,19 +4776,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.init_gpu">
-<span class="sig-name descname"><span class="pre">init_gpu</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_gpu"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_gpu" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_gpu</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_gpu"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_gpu" title="Link to this definition">#</a></dt>
 <dd><p>Config GPU memory</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.init_metrics">
-<span class="sig-name descname"><span class="pre">init_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_metrics" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_metrics" title="Link to this definition">#</a></dt>
 <dd><p>Initialize metrics</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.init_parameters">
-<span class="sig-name descname"><span class="pre">init_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_parameters"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_parameters" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_parameters"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_parameters" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the parameters of the model.</p>
 <p>This is a single layer model with two biases. So we have a rectangular matrix w_{ij} and
 two bias vectors to initialize.</p>
@@ -4234,7 +4815,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.init_training_session">
-<span class="sig-name descname"><span class="pre">init_training_session</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xtr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_training_session"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_training_session" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_training_session</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xtr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_training_session"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_training_session" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the TF session on training data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4245,7 +4826,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.load">
-<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./rbm_model.ckpt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.load" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./rbm_model.ckpt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.load" title="Link to this definition">#</a></dt>
 <dd><p>Load model parameters for further use.</p>
 <p>This function loads a saved tensorflow session.</p>
 <dl class="field-list simple">
@@ -4257,7 +4838,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.losses">
-<span class="sig-name descname"><span class="pre">losses</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vv</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.losses"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.losses" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">losses</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vv</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.losses"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.losses" title="Link to this definition">#</a></dt>
 <dd><p>Calculate contrastive divergence, which is the difference between
 the free energy clamped on the data (v) and the model Free energy (v_k).</p>
 <dl class="field-list simple">
@@ -4275,7 +4856,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.multinomial_distribution">
-<span class="sig-name descname"><span class="pre">multinomial_distribution</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">phi</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.multinomial_distribution"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.multinomial_distribution" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">multinomial_distribution</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">phi</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.multinomial_distribution"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.multinomial_distribution" title="Link to this definition">#</a></dt>
 <dd><p>Probability that unit v has value l given phi: P(v=l|phi)</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4298,7 +4879,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.multinomial_sampling">
-<span class="sig-name descname"><span class="pre">multinomial_sampling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.multinomial_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.multinomial_sampling" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">multinomial_sampling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.multinomial_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.multinomial_sampling" title="Link to this definition">#</a></dt>
 <dd><p>Multinomial Sampling of ratings</p>
 <p>Basic mechanics:
 For r classes, we sample r binomial distributions using the rejection method. This is possible
@@ -4328,13 +4909,13 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.placeholder">
-<span class="sig-name descname"><span class="pre">placeholder</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.placeholder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.placeholder" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">placeholder</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.placeholder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.placeholder" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the placeholders for the visible units</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.predict" title="Link to this definition">#</a></dt>
 <dd><p>Returns the inferred ratings. This method is similar to recommend_k_items() with the
 exceptions that it returns all the inferred ratings</p>
 <p>Basic mechanics:</p>
@@ -4346,7 +4927,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>x</strong> (<em>numpy.ndarray</em><em>, </em><em>int32</em>) – Input user/affinity matrix. Note that this can be a single vector, i.e.</p></li>
-<li><p><strong>user.</strong> (<em>the ratings of a single</em>) – </p></li>
+<li><p><strong>user.</strong> (<em>the ratings</em><em> of </em><em>a single</em>) – </p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -4364,7 +4945,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.</p>
 <p>Basic mechanics:</p>
 <p>The method samples new ratings from the learned joint distribution, together with their
@@ -4401,7 +4982,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.sample_hidden_units">
-<span class="sig-name descname"><span class="pre">sample_hidden_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vv</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.sample_hidden_units"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.sample_hidden_units" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">sample_hidden_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vv</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.sample_hidden_units"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.sample_hidden_units" title="Link to this definition">#</a></dt>
 <dd><p>Sampling: In RBM we use Contrastive divergence to sample the parameter space. In order to do that we need
 to initialize the two conditional probabilities:</p>
 <p>P(h|phi_v) –&gt; returns the probability that the i-th hidden unit is active</p>
@@ -4426,7 +5007,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.sample_visible_units">
-<span class="sig-name descname"><span class="pre">sample_visible_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.sample_visible_units"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.sample_visible_units" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">sample_visible_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.sample_visible_units"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.sample_visible_units" title="Link to this definition">#</a></dt>
 <dd><p>Sample the visible units given the hiddens. This can be thought of as a Backward pass in a FFN
 (negative phase). Each visible unit can take values in [1,rating], while the zero is reserved
 for missing data; as such the value of the hidden unit is sampled from a multinomial distribution.</p>
@@ -4457,7 +5038,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.save">
-<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./rbm_model.ckpt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.save" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./rbm_model.ckpt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.save" title="Link to this definition">#</a></dt>
 <dd><p>Save model parameters to <cite>file_path</cite></p>
 <p>This function saves the current tensorflow session to a specified path.</p>
 <dl class="field-list simple">
@@ -4472,10 +5053,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.sar.sar_singlenode">
-<span id="sar"></span><h2>SAR<a class="headerlink" href="#module-recommenders.models.sar.sar_singlenode" title="Permalink to this heading">#</a></h2>
+<span id="sar"></span><h2>SAR<a class="headerlink" href="#module-recommenders.models.sar.sar_singlenode" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sar.sar_singlenode.</span></span><span class="sig-name descname"><span class="pre">SARSingleNode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jaccard'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_decay_coefficient</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_now</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timedecay_formula</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sar.sar_singlenode.</span></span><span class="sig-name descname"><span class="pre">SARSingleNode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jaccard'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_decay_coefficient</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_now</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timedecay_formula</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode" title="Link to this definition">#</a></dt>
 <dd><p>Simple Algorithm for Recommendations (SAR) implementation</p>
 <p>SAR is a fast scalable adaptive algorithm for personalized recommendations based on user transaction history
 and items description. The core idea behind SAR is to recommend items like those that a user already has
@@ -4483,7 +5064,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 similarity across items, and then 3) combining the estimates to generate a set of recommendations for a given user.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jaccard'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_decay_coefficient</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_now</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timedecay_formula</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jaccard'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_decay_coefficient</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_now</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timedecay_formula</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize model parameters</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4508,7 +5089,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix">
-<span class="sig-name descname"><span class="pre">compute_affinity_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_col</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_affinity_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_affinity_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_col</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_affinity_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix" title="Link to this definition">#</a></dt>
 <dd><p>Affinity matrix.</p>
 <p>The user-affinity matrix can be constructed by treating the users and items as
 indices in a sparse matrix, and the events as the data. Here, we’re treating
@@ -4532,7 +5113,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix">
-<span class="sig-name descname"><span class="pre">compute_cooccurrence_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_cooccurrence_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_cooccurrence_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_cooccurrence_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix" title="Link to this definition">#</a></dt>
 <dd><p>Co-occurrence matrix.</p>
 <p>The co-occurrence matrix is defined as <span class="math notranslate nohighlight">\(C = U^T * U\)</span></p>
 <p>where U is the user_affinity matrix with 1’s as values (instead of ratings).</p>
@@ -4551,7 +5132,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay">
-<span class="sig-name descname"><span class="pre">compute_time_decay</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay_column</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_time_decay"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_time_decay</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay_column</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_time_decay"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay" title="Link to this definition">#</a></dt>
 <dd><p>Compute time decay on provided column.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4571,7 +5152,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.fit" title="Link to this definition">#</a></dt>
 <dd><p>Main fit method for SAR.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -4586,7 +5167,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk">
-<span class="sig-name descname"><span class="pre">get_item_based_topk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_item_based_topk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_item_based_topk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_item_based_topk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk" title="Link to this definition">#</a></dt>
 <dd><p>Get top K similar items to provided seed items based on similarity metric defined.
 This method will take a set of items and use them to recommend the most similar items to that set
 based on the similarity matrix fit during training.
@@ -4615,7 +5196,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk">
-<span class="sig-name descname"><span class="pre">get_popularity_based_topk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_popularity_based_topk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_popularity_based_topk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_popularity_based_topk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk" title="Link to this definition">#</a></dt>
 <dd><p>Get top K most frequently occurring items across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4636,7 +5217,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users">
-<span class="sig-name descname"><span class="pre">get_topk_most_similar_users</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_topk_most_similar_users"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_topk_most_similar_users</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_topk_most_similar_users"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users" title="Link to this definition">#</a></dt>
 <dd><p>Based on user affinity towards items, calculate the most similar users to the given user.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4657,7 +5238,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.predict" title="Link to this definition">#</a></dt>
 <dd><p>Output SAR scores for only the users-items pairs which are in the test set</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4674,7 +5255,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Recommend top K items for all users which are in the test set</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4696,7 +5277,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.score">
-<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.score" title="Link to this definition">#</a></dt>
 <dd><p>Score all items for test users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4716,7 +5297,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.set_index">
-<span class="sig-name descname"><span class="pre">set_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.set_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">set_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.set_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index" title="Link to this definition">#</a></dt>
 <dd><p>Generate continuous indices for users and items to reduce memory usage.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4729,14 +5310,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.sasrec.model">
-<span id="sasrec"></span><h2>SASRec<a class="headerlink" href="#module-recommenders.models.sasrec.model" title="Permalink to this heading">#</a></h2>
+<span id="sasrec"></span><h2>SASRec<a class="headerlink" href="#module-recommenders.models.sasrec.model" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.Encoder">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">Encoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">Encoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder" title="Link to this definition">#</a></dt>
 <dd><p>Invokes Transformer based encoder with user defined number of layers</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.Encoder.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4755,7 +5336,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.Encoder.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4778,11 +5359,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.EncoderLayer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">EncoderLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">EncoderLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer" title="Link to this definition">#</a></dt>
 <dd><p>Transformer based encoder layer</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.EncoderLayer.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4800,7 +5381,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.EncoderLayer.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4821,7 +5402,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.EncoderLayer.call_">
-<span class="sig-name descname"><span class="pre">call_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.call_"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.call_" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.call_"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.call_" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4844,12 +5425,12 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.LayerNormalization">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">LayerNormalization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">LayerNormalization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization" title="Link to this definition">#</a></dt>
 <dd><p>Layer normalization using mean and variance
 gamma and beta are the learnable parameters</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.LayerNormalization.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4864,7 +5445,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.LayerNormalization.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4883,7 +5464,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.MultiHeadAttention">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">MultiHeadAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">MultiHeadAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention" title="Link to this definition">#</a></dt>
 <dd><ul class="simple">
 <li><p>Q (query), K (key) and V (value) are split into multiple heads (num_heads)</p></li>
 <li><p>each tuple (q, k, v) are fed to scaled_dot_product_attention</p></li>
@@ -4891,7 +5472,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </ul>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.MultiHeadAttention.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4906,7 +5487,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.MultiHeadAttention.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">queries</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">queries</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4928,11 +5509,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.PointWiseFeedForward">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">PointWiseFeedForward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">PointWiseFeedForward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward" title="Link to this definition">#</a></dt>
 <dd><p>Convolution layers with residual connection</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.PointWiseFeedForward.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4946,7 +5527,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.PointWiseFeedForward.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4965,7 +5546,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">SASREC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">SASREC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC" title="Link to this definition">#</a></dt>
 <dd><p>SAS Rec model
 Self-Attentive Sequential Recommendation Using Transformer</p>
 <dl class="field-list">
@@ -4979,7 +5560,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Model initialization.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5000,7 +5581,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5025,14 +5606,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.create_combined_dataset">
-<span class="sig-name descname"><span class="pre">create_combined_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">u</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.create_combined_dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.create_combined_dataset" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">create_combined_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">u</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.create_combined_dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.create_combined_dataset" title="Link to this definition">#</a></dt>
 <dd><p>function to create model inputs from sampled batch data.
 This function is used only during training.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.embedding">
-<span class="sig-name descname"><span class="pre">embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_seq</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_seq</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.embedding" title="Link to this definition">#</a></dt>
 <dd><p>Compute the sequence and positional embeddings.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5053,19 +5634,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.evaluate">
-<span class="sig-name descname"><span class="pre">evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.evaluate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.evaluate" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.evaluate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.evaluate" title="Link to this definition">#</a></dt>
 <dd><p>Evaluation on the test users (users with at least 3 items)</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.evaluate_valid">
-<span class="sig-name descname"><span class="pre">evaluate_valid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.evaluate_valid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.evaluate_valid" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">evaluate_valid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.evaluate_valid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.evaluate_valid" title="Link to this definition">#</a></dt>
 <dd><p>Evaluation on the validation users</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.loss_function">
-<span class="sig-name descname"><span class="pre">loss_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">istarget</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.loss_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.loss_function" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">loss_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">istarget</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.loss_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.loss_function" title="Link to this definition">#</a></dt>
 <dd><p>Losses are calculated separately for the positive and negative
 items based on the corresponding logits. A mask is included to
 take care of the zero items (added for padding).</p>
@@ -5088,7 +5669,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.predict" title="Link to this definition">#</a></dt>
 <dd><p>Returns the logits for the test items.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5105,38 +5686,38 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.train">
-<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.train" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.train" title="Link to this definition">#</a></dt>
 <dd><p>High level function for model training as well as
 evaluation on the validation and test dataset</p>
 </dd></dl>
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.sasrec.sampler"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.sasrec.sampler">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.sampler.</span></span><span class="sig-name descname"><span class="pre">WarpSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">User</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#WarpSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.sampler.</span></span><span class="sig-name descname"><span class="pre">WarpSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">User</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#WarpSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler" title="Link to this definition">#</a></dt>
 <dd><p>Sampler object that creates an iterator for feeding batch data while training.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.User">
-<span class="sig-name descname"><span class="pre">User</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.User" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">User</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.User" title="Link to this definition">#</a></dt>
 <dd><p>dict, all the users (keys) with items as values</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.usernum">
-<span class="sig-name descname"><span class="pre">usernum</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.usernum" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">usernum</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.usernum" title="Link to this definition">#</a></dt>
 <dd><p>integer, total number of users</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.itemnum">
-<span class="sig-name descname"><span class="pre">itemnum</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.itemnum" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">itemnum</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.itemnum" title="Link to this definition">#</a></dt>
 <dd><p>integer, total number of items</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.batch_size">
-<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.batch_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.batch_size" title="Link to this definition">#</a></dt>
 <dd><p>batch size</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -5147,7 +5728,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.maxlen">
-<span class="sig-name descname"><span class="pre">maxlen</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.maxlen" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">maxlen</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.maxlen" title="Link to this definition">#</a></dt>
 <dd><p>maximum input sequence length</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -5158,7 +5739,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.n_workers">
-<span class="sig-name descname"><span class="pre">n_workers</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.n_workers" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">n_workers</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.n_workers" title="Link to this definition">#</a></dt>
 <dd><p>number of workers for parallel execution</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -5169,14 +5750,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">User</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#WarpSampler.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">User</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#WarpSampler.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.__init__" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.sample_function">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.sampler.</span></span><span class="sig-name descname"><span class="pre">sample_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">result_queue</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#sample_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.sample_function" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.sampler.</span></span><span class="sig-name descname"><span class="pre">sample_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">result_queue</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#sample_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.sample_function" title="Link to this definition">#</a></dt>
 <dd><p>Batch sampler that creates a sequence of negative items based on the
 original sequence of items (positive) that the user has interacted with.</p>
 <dl class="field-list simple">
@@ -5194,62 +5775,62 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.sasrec.util"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.sasrec.util">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.util.</span></span><span class="sig-name descname"><span class="pre">SASRecDataSet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/util.html#SASRecDataSet"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.util.</span></span><span class="sig-name descname"><span class="pre">SASRecDataSet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/util.html#SASRecDataSet"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet" title="Link to this definition">#</a></dt>
 <dd><p>A class for creating SASRec specific dataset used during
 train, validation and testing.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.usernum">
-<span class="sig-name descname"><span class="pre">usernum</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.usernum" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">usernum</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.usernum" title="Link to this definition">#</a></dt>
 <dd><p>integer, total number of users</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.itemnum">
-<span class="sig-name descname"><span class="pre">itemnum</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.itemnum" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">itemnum</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.itemnum" title="Link to this definition">#</a></dt>
 <dd><p>integer, total number of items</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.User">
-<span class="sig-name descname"><span class="pre">User</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.User" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">User</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.User" title="Link to this definition">#</a></dt>
 <dd><p>dict, all the users (keys) with items as values</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.Items">
-<span class="sig-name descname"><span class="pre">Items</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.Items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">Items</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.Items" title="Link to this definition">#</a></dt>
 <dd><p>set of all the items</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.user_train">
-<span class="sig-name descname"><span class="pre">user_train</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_train" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_train</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_train" title="Link to this definition">#</a></dt>
 <dd><p>dict, subset of User that are used for training</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.user_valid">
-<span class="sig-name descname"><span class="pre">user_valid</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_valid" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_valid</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_valid" title="Link to this definition">#</a></dt>
 <dd><p>dict, subset of User that are used for validation</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.user_test">
-<span class="sig-name descname"><span class="pre">user_test</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_test" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_test</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_test" title="Link to this definition">#</a></dt>
 <dd><p>dict, subset of User that are used for testing</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.col_sep">
-<span class="sig-name descname"><span class="pre">col_sep</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.col_sep" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">col_sep</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.col_sep" title="Link to this definition">#</a></dt>
 <dd><p>column separator in the data file</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.filename">
-<span class="sig-name descname"><span class="pre">filename</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.filename" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">filename</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.filename" title="Link to this definition">#</a></dt>
 <dd><p>data filename</p>
 </dd></dl>
 
@@ -5257,10 +5838,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.sasrec.ssept">
-<span id="sse-pt"></span><h2>SSE-PT<a class="headerlink" href="#module-recommenders.models.sasrec.ssept" title="Permalink to this heading">#</a></h2>
+<span id="sse-pt"></span><h2>SSE-PT<a class="headerlink" href="#module-recommenders.models.sasrec.ssept" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.ssept.</span></span><span class="sig-name descname"><span class="pre">SSEPT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.ssept.</span></span><span class="sig-name descname"><span class="pre">SSEPT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT" title="Link to this definition">#</a></dt>
 <dd><p>SSE-PT Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -5272,7 +5853,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 TF 2.x codebase (SASREc): <a class="github reference external" href="https://github.com/nnkkmto/SASRec-tf2">nnkkmto/SASRec-tf2</a></p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Model initialization.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5296,7 +5877,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5321,7 +5902,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT.loss_function">
-<span class="sig-name descname"><span class="pre">loss_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">istarget</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.loss_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.loss_function" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">loss_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">istarget</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.loss_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.loss_function" title="Link to this definition">#</a></dt>
 <dd><p>Losses are calculated separately for the positive and negative
 items based on the corresponding logits. A mask is included to
 take care of the zero items (added for padding).</p>
@@ -5344,7 +5925,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.predict" title="Link to this definition">#</a></dt>
 <dd><p>Model prediction for candidate (negative) items</p>
 </dd></dl>
 
@@ -5352,10 +5933,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.surprise.surprise_utils">
-<span id="surprise-utilities"></span><h2>Surprise utilities<a class="headerlink" href="#module-recommenders.models.surprise.surprise_utils" title="Permalink to this heading">#</a></h2>
+<span id="surprise-utilities"></span><h2>Surprise utilities<a class="headerlink" href="#module-recommenders.models.surprise.surprise_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.surprise.surprise_utils.compute_ranking_predictions">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">compute_ranking_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">algo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#compute_ranking_predictions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.compute_ranking_predictions" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">compute_ranking_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">algo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#compute_ranking_predictions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.compute_ranking_predictions" title="Link to this definition">#</a></dt>
 <dd><p>Computes predictions of an algorithm from Surprise on all users and items in data. It can be used for computing
 ranking metrics like NDCG.</p>
 <dl class="field-list simple">
@@ -5379,7 +5960,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.surprise.surprise_utils.predict">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">algo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">algo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.predict" title="Link to this definition">#</a></dt>
 <dd><p>Computes predictions of an algorithm from Surprise on the data. Can be used for computing rating metrics like RMSE.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5401,7 +5982,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.surprise.surprise_utils.surprise_trainset_to_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">surprise_trainset_to_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trainset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'iid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#surprise_trainset_to_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">surprise_trainset_to_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trainset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'iid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#surprise_trainset_to_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df" title="Link to this definition">#</a></dt>
 <dd><p>Converts a <cite>surprise.Trainset</cite> object to <cite>pandas.DataFrame</cite></p>
 <p>More info: <a class="reference external" href="https://surprise.readthedocs.io/en/stable/trainset.html">https://surprise.readthedocs.io/en/stable/trainset.html</a></p>
 <dl class="field-list simple">
@@ -5424,21 +6005,21 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.tfidf.tfidf_utils">
-<span id="tf-idf-utilities"></span><h2>TF-IDF utilities<a class="headerlink" href="#module-recommenders.models.tfidf.tfidf_utils" title="Permalink to this heading">#</a></h2>
+<span id="tf-idf-utilities"></span><h2>TF-IDF utilities<a class="headerlink" href="#module-recommenders.models.tfidf.tfidf_utils" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.tfidf.tfidf_utils.</span></span><span class="sig-name descname"><span class="pre">TfidfRecommender</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">id_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenization_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'scibert'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.tfidf.tfidf_utils.</span></span><span class="sig-name descname"><span class="pre">TfidfRecommender</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">id_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenization_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'scibert'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender" title="Link to this definition">#</a></dt>
 <dd><p>Term Frequency - Inverse Document Frequency (TF-IDF) Recommender</p>
 <p>This class provides content-based recommendations using TF-IDF vectorization in combination with cosine similarity.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe">
-<span class="sig-name descname"><span class="pre">clean_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols_to_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_col_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cleaned_text'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.clean_dataframe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">clean_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols_to_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_col_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cleaned_text'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.clean_dataframe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe" title="Link to this definition">#</a></dt>
 <dd><p>Clean the text within the columns of interest and return a dataframe with cleaned and combined text.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df</strong> (<em>pandas.DataFrame</em>) – Dataframe containing the text content to clean.</p></li>
-<li><p><strong>cols_to_clean</strong> (<em>list of str</em>) – List of columns to clean by name (e.g., [‘abstract’,’full_text’]).</p></li>
+<li><p><strong>cols_to_clean</strong> (<em>list</em><em> of </em><em>str</em>) – List of columns to clean by name (e.g., [‘abstract’,’full_text’]).</p></li>
 <li><p><strong>new_col_name</strong> (<em>str</em>) – Name of the new column that will contain the cleaned text.</p></li>
 </ul>
 </dd>
@@ -5453,7 +6034,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vectors_tokenized</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vectors_tokenized</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit TF-IDF vectorizer to the cleaned and tokenized text.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5467,7 +6048,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words">
-<span class="sig-name descname"><span class="pre">get_stop_words</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_stop_words"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_stop_words</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_stop_words"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words" title="Link to this definition">#</a></dt>
 <dd><p>Return the stop words excluded in the TF-IDF vectorizer.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -5481,7 +6062,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens">
-<span class="sig-name descname"><span class="pre">get_tokens</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_tokens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_tokens</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_tokens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens" title="Link to this definition">#</a></dt>
 <dd><p>Return the tokens generated by the TF-IDF vectorizer.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -5495,14 +6076,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations">
-<span class="sig-name descname"><span class="pre">get_top_k_recommendations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metadata</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols_to_keep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_top_k_recommendations"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_top_k_recommendations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metadata</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols_to_keep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_top_k_recommendations"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations" title="Link to this definition">#</a></dt>
 <dd><p>Return the top k recommendations with useful metadata for each recommendation.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>metadata</strong> (<em>pandas.DataFrame</em>) – Dataframe holding metadata for all public domain papers.</p></li>
 <li><p><strong>query_id</strong> (<em>str</em>) – ID of item of interest.</p></li>
-<li><p><strong>cols_to_keep</strong> (<em>list of str</em>) – List of columns from the metadata dataframe to include
+<li><p><strong>cols_to_keep</strong> (<em>list</em><em> of </em><em>str</em>) – List of columns from the metadata dataframe to include
 (e.g., [‘title’,’authors’,’journal’,’publish_time’,’url’]).
 By default, all columns are kept.</p></li>
 <li><p><strong>verbose</strong> (<em>boolean</em>) – Set to True if you want to print the table.</p></li>
@@ -5519,7 +6100,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items">
-<span class="sig-name descname"><span class="pre">recommend_top_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.recommend_top_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_top_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.recommend_top_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Recommend k number of items similar to the item of interest.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5539,7 +6120,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text">
-<span class="sig-name descname"><span class="pre">tokenize_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cleaned_text'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ngram_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">3)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.tokenize_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">tokenize_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cleaned_text'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ngram_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">3)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.tokenize_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text" title="Link to this definition">#</a></dt>
 <dd><p>Tokenize the input text.
 For more details on the TfidfVectorizer, see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html">https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html</a></p>
 <dl class="field-list simple">
@@ -5547,7 +6128,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df_clean</strong> (<em>pandas.DataFrame</em>) – Dataframe with cleaned text in the new column.</p></li>
 <li><p><strong>text_col</strong> (<em>str</em>) – Name of column containing the cleaned text.</p></li>
-<li><p><strong>ngram_range</strong> (<em>tuple of int</em>) – The lower and upper boundary of the range of n-values for different n-grams to be extracted.</p></li>
+<li><p><strong>ngram_range</strong> (<em>tuple</em><em> of </em><em>int</em>) – The lower and upper boundary of the range of n-values for different n-grams to be extracted.</p></li>
 <li><p><strong>min_df</strong> (<em>int</em>) – When building the vocabulary ignore terms that have a document frequency strictly lower than the given threshold.</p></li>
 </ul>
 </dd>
@@ -5568,15 +6149,15 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.vae.standard_vae">
-<span id="standard-vae"></span><h2>Standard VAE<a class="headerlink" href="#module-recommenders.models.vae.standard_vae" title="Permalink to this heading">#</a></h2>
+<span id="standard-vae"></span><h2>Standard VAE<a class="headerlink" href="#module-recommenders.models.vae.standard_vae" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">AnnealingCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">AnnealingCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback" title="Link to this definition">#</a></dt>
 <dd><p>This class is used for updating the value of β during the annealing process.
 When β reaches the value of anneal_cap, it stops increasing.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5591,25 +6172,25 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.get_data">
-<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.get_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.get_data" title="Link to this definition">#</a></dt>
 <dd><p>Returns a list of the beta values per epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end">
-<span class="sig-name descname"><span class="pre">on_batch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_batch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_batch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_batch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each batch the beta should is updated until it reaches the values of anneal cap.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each epoch save the value of beta in _beta list.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise a list in which the beta value will be saved at the end of each epoch.</p>
 </dd></dl>
 
@@ -5617,17 +6198,17 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.LossHistory">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">LossHistory</span></span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">LossHistory</span></span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory" title="Link to this definition">#</a></dt>
 <dd><p>This class is used for saving the validation loss and the training loss per epoch.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.LossHistory.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>Save the loss of training and validation set at the end of each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.LossHistory.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise the lists where the loss of training and validation will be saved.</p>
 </dd></dl>
 
@@ -5635,12 +6216,12 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">Metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">Metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics" title="Link to this definition">#</a></dt>
 <dd><p>Callback function used to calculate the NDCG&#64;k metric of validation set at the end of each epoch.
 Weights of the model with the highest NDCG&#64;k value is saved.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the class parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5658,14 +6239,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.get_data">
-<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.get_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.get_data" title="Link to this definition">#</a></dt>
 <dd><p>Returns a list of the NDCG&#64;k of the validation set metrics calculated
 at the end of each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each epoch calculate NDCG&#64;k of the validation set.
 If the model performance is improved, the model weights are saved.
 Update the list of validation NDCG&#64;k by adding obtained value.</p>
@@ -5673,13 +6254,13 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise the list for validation NDCG&#64;k.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.
 Obtained probabilities are used as recommendation score.</p>
 <dl class="field-list simple">
@@ -5702,11 +6283,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">StandardVAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">StandardVAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE" title="Link to this definition">#</a></dt>
 <dd><p>Standard Variational Autoencoders (VAE) for Collaborative Filtering implementation.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize class parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5735,7 +6316,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.display_metrics">
-<span class="sig-name descname"><span class="pre">display_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.display_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.display_metrics" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">display_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.display_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.display_metrics" title="Link to this definition">#</a></dt>
 <dd><p>Plots:
 1) Loss per epoch both for validation and train sets
 2) NDCG&#64;k per epoch of the validation set</p>
@@ -5743,7 +6324,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit model with the train sets and validate on the validation set.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5760,19 +6341,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta">
-<span class="sig-name descname"><span class="pre">get_optimal_beta</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.get_optimal_beta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_optimal_beta</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.get_optimal_beta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta" title="Link to this definition">#</a></dt>
 <dd><p>Returns the value of the optimal beta.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch">
-<span class="sig-name descname"><span class="pre">ndcg_per_epoch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.ndcg_per_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ndcg_per_epoch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.ndcg_per_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch" title="Link to this definition">#</a></dt>
 <dd><p>Returns the list of NDCG&#64;k at each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator">
-<span class="sig-name descname"><span class="pre">nn_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.nn_batch_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">nn_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.nn_batch_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator" title="Link to this definition">#</a></dt>
 <dd><p>Used for splitting dataset in batches.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5783,7 +6364,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.</p>
 <p>Obtained probabilities are used as recommendation score.</p>
 <dl class="field-list simple">
@@ -5806,15 +6387,15 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.vae.multinomial_vae">
-<span id="multinomial-vae"></span><h2>Multinomial VAE<a class="headerlink" href="#module-recommenders.models.vae.multinomial_vae" title="Permalink to this heading">#</a></h2>
+<span id="multinomial-vae"></span><h2>Multinomial VAE<a class="headerlink" href="#module-recommenders.models.vae.multinomial_vae" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">AnnealingCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">AnnealingCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback" title="Link to this definition">#</a></dt>
 <dd><p>This class is used for updating the value of β during the annealing process.
 When β reaches the value of anneal_cap, it stops increasing.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5829,25 +6410,25 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data">
-<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data" title="Link to this definition">#</a></dt>
 <dd><p>Returns a list of the beta values per epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end">
-<span class="sig-name descname"><span class="pre">on_batch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_batch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_batch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_batch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each batch the beta should is updated until it reaches the values of anneal cap.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each epoch save the value of beta in _beta list.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise a list in which the beta value will be saved at the end of each epoch.</p>
 </dd></dl>
 
@@ -5855,17 +6436,17 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.LossHistory">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">LossHistory</span></span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">LossHistory</span></span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory" title="Link to this definition">#</a></dt>
 <dd><p>This class is used for saving the validation loss and the training loss per epoch.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>Save the loss of training and validation set at the end of each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise the lists where the loss of training and validation will be saved.</p>
 </dd></dl>
 
@@ -5873,12 +6454,12 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">Metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">Metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics" title="Link to this definition">#</a></dt>
 <dd><p>Callback function used to calculate the NDCG&#64;k metric of validation set at the end of each epoch.
 Weights of the model with the highest NDCG&#64;k value is saved.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the class parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5896,14 +6477,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.get_data">
-<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.get_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.get_data" title="Link to this definition">#</a></dt>
 <dd><p>Returns a list of the NDCG&#64;k of the validation set metrics calculated
 at the end of each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each epoch calculate NDCG&#64;k of the validation set.</p>
 <p>If the model performance is improved, the model weights are saved.
 Update the list of validation NDCG&#64;k by adding obtained value</p>
@@ -5911,13 +6492,13 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise the list for validation NDCG&#64;k.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.
 Obtained probabilities are used as recommendation score.</p>
 <dl class="field-list simple">
@@ -5940,7 +6521,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">Mult_VAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">Mult_VAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE" title="Link to this definition">#</a></dt>
 <dd><p>Multinomial Variational Autoencoders (Multi-VAE) for Collaborative Filtering implementation</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -5951,7 +6532,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5980,7 +6561,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics">
-<span class="sig-name descname"><span class="pre">display_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.display_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">display_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.display_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics" title="Link to this definition">#</a></dt>
 <dd><p>Plots:
 1) Loss per epoch both for validation and train set
 2) NDCG&#64;k per epoch of the validation set</p>
@@ -5988,7 +6569,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit model with the train sets and validate on the validation set.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6005,19 +6586,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta">
-<span class="sig-name descname"><span class="pre">get_optimal_beta</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.get_optimal_beta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_optimal_beta</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.get_optimal_beta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta" title="Link to this definition">#</a></dt>
 <dd><p>Returns the value of the optimal beta.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch">
-<span class="sig-name descname"><span class="pre">ndcg_per_epoch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.ndcg_per_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ndcg_per_epoch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.ndcg_per_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch" title="Link to this definition">#</a></dt>
 <dd><p>Returns the list of NDCG&#64;k at each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator">
-<span class="sig-name descname"><span class="pre">nn_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.nn_batch_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">nn_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.nn_batch_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator" title="Link to this definition">#</a></dt>
 <dd><p>Used for splitting dataset in batches.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6028,7 +6609,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.
 Obtained probabilities are used as recommendation score.</p>
 <dl class="field-list simple">
@@ -6051,17 +6632,17 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.vowpal_wabbit.vw">
-<span id="vowpal-wabbit-utilities"></span><h2>Vowpal Wabbit utilities<a class="headerlink" href="#module-recommenders.models.vowpal_wabbit.vw" title="Permalink to this heading">#</a></h2>
+<span id="vowpal-wabbit-utilities"></span><h2>Vowpal Wabbit utilities<a class="headerlink" href="#module-recommenders.models.vowpal_wabbit.vw" title="Link to this heading">#</a></h2>
 <p>This file provides a wrapper to run Vowpal Wabbit from the command line through python.
 It is not recommended to use this approach in production, there are python bindings that can be installed from the
 repository or pip or the command line can be used. This is merely to demonstrate vw usage in the example notebooks.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vowpal_wabbit.vw.</span></span><span class="sig-name descname"><span class="pre">VW</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vowpal_wabbit.vw.</span></span><span class="sig-name descname"><span class="pre">VW</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW" title="Link to this definition">#</a></dt>
 <dd><p>Vowpal Wabbit Class</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.fit" title="Link to this definition">#</a></dt>
 <dd><p>Train model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6072,7 +6653,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.parse_test_params">
-<span class="sig-name descname"><span class="pre">parse_test_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.parse_test_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parse_test_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.parse_test_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params" title="Link to this definition">#</a></dt>
 <dd><p>Parse input hyper-parameters to build vw test commands</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6089,7 +6670,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.parse_train_params">
-<span class="sig-name descname"><span class="pre">parse_train_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.parse_train_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parse_train_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.parse_train_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params" title="Link to this definition">#</a></dt>
 <dd><p>Parse input hyper-parameters to build vw train commands</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6106,7 +6687,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.predict" title="Link to this definition">#</a></dt>
 <dd><p>Predict results</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6117,7 +6698,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">to_vw_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.to_vw_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">to_vw_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.to_vw_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd" title="Link to this definition">#</a></dt>
 <dd><p>Convert dictionary of parameters to vw command line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6134,7 +6715,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.to_vw_file">
-<span class="sig-name descname"><span class="pre">to_vw_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.to_vw_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">to_vw_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.to_vw_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file" title="Link to this definition">#</a></dt>
 <dd><p>Convert Pandas DataFrame to vw input format file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6150,10 +6731,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.wide_deep.wide_deep_utils">
-<span id="wide-deep"></span><h2>Wide &amp; Deep<a class="headerlink" href="#module-recommenders.models.wide_deep.wide_deep_utils" title="Permalink to this heading">#</a></h2>
+<span id="wide-deep"></span><h2>Wide &amp; Deep<a class="headerlink" href="#module-recommenders.models.wide_deep.wide_deep_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.wide_deep.wide_deep_utils.build_feature_columns">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.wide_deep.wide_deep_utils.</span></span><span class="sig-name descname"><span class="pre">build_feature_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feat_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crossed_feat_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feat_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'wide_deep'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/wide_deep/wide_deep_utils.html#build_feature_columns"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.wide_deep.wide_deep_utils.</span></span><span class="sig-name descname"><span class="pre">build_feature_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feat_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crossed_feat_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feat_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'wide_deep'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/wide_deep/wide_deep_utils.html#build_feature_columns"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns" title="Link to this definition">#</a></dt>
 <dd><p>Build wide and/or deep feature columns for TensorFlow high-level API Estimator.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6166,7 +6747,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 <li><p><strong>crossed_feat_dim</strong> (<em>int</em>) – Crossed feature dimension for ‘wide’ or ‘wide_deep’ model.</p></li>
 <li><p><strong>user_dim</strong> (<em>int</em>) – User embedding dimension for ‘deep’ or ‘wide_deep’ model.</p></li>
 <li><p><strong>item_dim</strong> (<em>int</em>) – Item embedding dimension for ‘deep’ or ‘wide_deep’ model.</p></li>
-<li><p><strong>item_feat_shape</strong> (<em>int</em><em> or </em><em>an iterable of integers</em>) – Item feature array shape for ‘deep’ or ‘wide_deep’ model.</p></li>
+<li><p><strong>item_feat_shape</strong> (<em>int</em><em> or </em><em>an iterable</em><em> of </em><em>integers</em>) – Item feature array shape for ‘deep’ or ‘wide_deep’ model.</p></li>
 <li><p><strong>model_type</strong> (<em>str</em>) – Model type, either
 ‘wide’ for a linear model,
 ‘deep’ for a deep neural networks, or
@@ -6188,7 +6769,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.wide_deep.wide_deep_utils.build_model">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.wide_deep.wide_deep_utils.</span></span><span class="sig-name descname"><span class="pre">build_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'model_checkpoints'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wide_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deep_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linear_optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Ftrl'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Adagrad'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(128,</span> <span class="pre">128)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_dropout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_batch_norm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_every_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_checkpoints_steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/wide_deep/wide_deep_utils.html#build_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.wide_deep.wide_deep_utils.build_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.wide_deep.wide_deep_utils.</span></span><span class="sig-name descname"><span class="pre">build_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'model_checkpoints'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wide_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deep_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linear_optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Ftrl'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Adagrad'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(128,</span> <span class="pre">128)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_dropout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_batch_norm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_every_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_checkpoints_steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/wide_deep/wide_deep_utils.html#build_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.wide_deep.wide_deep_utils.build_model" title="Link to this definition">#</a></dt>
 <dd><p>Build wide-deep model.</p>
 <p>To generate wide model, pass wide_columns only.
 To generate deep model, pass deep_columns only.
@@ -6197,11 +6778,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>model_dir</strong> (<em>str</em>) – Model checkpoint directory.</p></li>
-<li><p><strong>wide_columns</strong> (<em>list of tf.feature_column</em>) – Wide model feature columns.</p></li>
-<li><p><strong>deep_columns</strong> (<em>list of tf.feature_column</em>) – Deep model feature columns.</p></li>
+<li><p><strong>wide_columns</strong> (<em>list</em><em> of </em><em>tf.feature_column</em>) – Wide model feature columns.</p></li>
+<li><p><strong>deep_columns</strong> (<em>list</em><em> of </em><em>tf.feature_column</em>) – Deep model feature columns.</p></li>
 <li><p><strong>linear_optimizer</strong> (<em>str</em><em> or </em><em>tf.train.Optimizer</em>) – Wide model optimizer name or object.</p></li>
 <li><p><strong>dnn_optimizer</strong> (<em>str</em><em> or </em><em>tf.train.Optimizer</em>) – Deep model optimizer name or object.</p></li>
-<li><p><strong>dnn_hidden_units</strong> (<em>list of int</em>) – Deep model hidden units. E.g., [10, 10, 10] is three layers of 10 nodes each.</p></li>
+<li><p><strong>dnn_hidden_units</strong> (<em>list</em><em> of </em><em>int</em>) – Deep model hidden units. E.g., [10, 10, 10] is three layers of 10 nodes each.</p></li>
 <li><p><strong>dnn_dropout</strong> (<em>float</em>) – Deep model’s dropout rate.</p></li>
 <li><p><strong>dnn_batch_norm</strong> (<em>bool</em>) – Deep model’s batch normalization flag.</p></li>
 <li><p><strong>log_every_n_iter</strong> (<em>int</em>) – Log the training loss for every n steps.</p></li>
@@ -6285,50 +6866,623 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.cornac.cornac_utils">Cornac utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.cornac.cornac_utils">Cornac utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.cornac.cornac_utils.predict"><code class="docutils literal notranslate"><span class="pre">predict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.cornac.cornac_utils.predict_ranking"><code class="docutils literal notranslate"><span class="pre">predict_ranking()</span></code></a></li>
+</ul>
+</li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#deeprec-utilities">DeepRec utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.base_model">Base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model">Sequential base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.io.iterator">Iterators</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF">Data processing utilities</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.deeprec_utils">Utilities</a></li>
-</ul>
-</li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn">DKN</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn_item2item">DKN item-to-item</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.xDeepFM">xDeepFM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn">LightGCN</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.asvd">A2SVD</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.caser">Caser</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.gru">GRU</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.nextitnet">NextItNet</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">RNN Cells</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sum">SUM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sli_rec">SLIRec</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.fastai.fastai_utils">FastAI utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightfm.lightfm_utils">LightFM utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightgbm.lightgbm_utils">LightGBM utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.ncf.dataset">NCF</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.base_model">Base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel"><code class="docutils literal notranslate"><span class="pre">BaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">BaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.fit"><code class="docutils literal notranslate"><span class="pre">BaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.group_labels"><code class="docutils literal notranslate"><span class="pre">BaseModel.group_labels()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.infer"><code class="docutils literal notranslate"><span class="pre">BaseModel.infer()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.load_model"><code class="docutils literal notranslate"><span class="pre">BaseModel.load_model()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.predict"><code class="docutils literal notranslate"><span class="pre">BaseModel.predict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.run_eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.train"><code class="docutils literal notranslate"><span class="pre">BaseModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model">Sequential base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.predict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.run_eval()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.io.iterator">Iterators</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator"><code class="docutils literal notranslate"><span class="pre">BaseIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">BaseIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">BaseIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">BaseIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.gen_infer_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.load_infer_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator.load_data_from_file()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator"><code class="docutils literal notranslate"><span class="pre">NextItNetIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__"><code class="docutils literal notranslate"><span class="pre">NextItNetIterator.__init__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator"><code class="docutils literal notranslate"><span class="pre">SequentialIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.parse_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF">Data processing utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF"><code class="docutils literal notranslate"><span class="pre">ImplicitCF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.create_norm_adj_mat()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.get_norm_adj_mat()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.train_loader()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.deeprec_utils">Utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams"><code class="docutils literal notranslate"><span class="pre">HParams</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.__init__"><code class="docutils literal notranslate"><span class="pre">HParams.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.__repr__"><code class="docutils literal notranslate"><span class="pre">HParams.__repr__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.values"><code class="docutils literal notranslate"><span class="pre">HParams.values()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.cal_metric"><code class="docutils literal notranslate"><span class="pre">cal_metric()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.check_nn_config"><code class="docutils literal notranslate"><span class="pre">check_nn_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.check_type"><code class="docutils literal notranslate"><span class="pre">check_type()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.create_hparams"><code class="docutils literal notranslate"><span class="pre">create_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.dcg_score"><code class="docutils literal notranslate"><span class="pre">dcg_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources"><code class="docutils literal notranslate"><span class="pre">download_deeprec_resources()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.flat_config"><code class="docutils literal notranslate"><span class="pre">flat_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.hit_score"><code class="docutils literal notranslate"><span class="pre">hit_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.load_dict"><code class="docutils literal notranslate"><span class="pre">load_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.load_yaml"><code class="docutils literal notranslate"><span class="pre">load_yaml()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.mrr_score"><code class="docutils literal notranslate"><span class="pre">mrr_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.ndcg_score"><code class="docutils literal notranslate"><span class="pre">ndcg_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.prepare_hparams"><code class="docutils literal notranslate"><span class="pre">prepare_hparams()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn">DKN</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN"><code class="docutils literal notranslate"><span class="pre">DKN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.__init__"><code class="docutils literal notranslate"><span class="pre">DKN.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.infer_embedding"><code class="docutils literal notranslate"><span class="pre">DKN.infer_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding"><code class="docutils literal notranslate"><span class="pre">DKN.run_get_embedding()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn_item2item">DKN item-to-item</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item.eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item.run_eval()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.xDeepFM">xDeepFM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel"><code class="docutils literal notranslate"><span class="pre">XDeepFMModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn">LightGCN</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN"><code class="docutils literal notranslate"><span class="pre">LightGCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__"><code class="docutils literal notranslate"><span class="pre">LightGCN.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit"><code class="docutils literal notranslate"><span class="pre">LightGCN.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding"><code class="docutils literal notranslate"><span class="pre">LightGCN.infer_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load"><code class="docutils literal notranslate"><span class="pre">LightGCN.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">LightGCN.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval"><code class="docutils literal notranslate"><span class="pre">LightGCN.run_eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score"><code class="docutils literal notranslate"><span class="pre">LightGCN.score()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.asvd">A2SVD</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel"><code class="docutils literal notranslate"><span class="pre">A2SVDModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.caser">Caser</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel"><code class="docutils literal notranslate"><span class="pre">CaserModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__"><code class="docutils literal notranslate"><span class="pre">CaserModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.gru">GRU</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.gru.GRUModel"><code class="docutils literal notranslate"><span class="pre">GRUModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.nextitnet">NextItNet</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel"><code class="docutils literal notranslate"><span class="pre">NextItNetModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">RNN Cells</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.state_size</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.state_size</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sum">SUM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum.SUMModel"><code class="docutils literal notranslate"><span class="pre">SUMModel</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell"><code class="docutils literal notranslate"><span class="pre">SUMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build"><code class="docutils literal notranslate"><span class="pre">SUMCell.build()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call"><code class="docutils literal notranslate"><span class="pre">SUMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config"><code class="docutils literal notranslate"><span class="pre">SUMCell.get_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size"><code class="docutils literal notranslate"><span class="pre">SUMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size"><code class="docutils literal notranslate"><span class="pre">SUMCell.state_size</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell.build()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell.call()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sli_rec">SLIRec</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel"><code class="docutils literal notranslate"><span class="pre">SLI_RECModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.fastai.fastai_utils">FastAI utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.cartesian_product"><code class="docutils literal notranslate"><span class="pre">cartesian_product()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar"><code class="docutils literal notranslate"><span class="pre">hide_fastai_progress_bar()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.score"><code class="docutils literal notranslate"><span class="pre">score()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightfm.lightfm_utils">LightFM utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.compare_metric"><code class="docutils literal notranslate"><span class="pre">compare_metric()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.model_perf_plots"><code class="docutils literal notranslate"><span class="pre">model_perf_plots()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions"><code class="docutils literal notranslate"><span class="pre">prepare_all_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.prepare_test_df"><code class="docutils literal notranslate"><span class="pre">prepare_test_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.similar_items"><code class="docutils literal notranslate"><span class="pre">similar_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.similar_users"><code class="docutils literal notranslate"><span class="pre">similar_users()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.track_model_metrics"><code class="docutils literal notranslate"><span class="pre">track_model_metrics()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightgbm.lightgbm_utils">LightGBM utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder"><code class="docutils literal notranslate"><span class="pre">NumEncoder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform"><code class="docutils literal notranslate"><span class="pre">NumEncoder.fit_transform()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform"><code class="docutils literal notranslate"><span class="pre">NumEncoder.transform()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.unpackbits"><code class="docutils literal notranslate"><span class="pre">unpackbits()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.ncf.dataset">NCF</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile"><code class="docutils literal notranslate"><span class="pre">DataFile</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile.__init__"><code class="docutils literal notranslate"><span class="pre">DataFile.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile.load_data"><code class="docutils literal notranslate"><span class="pre">DataFile.load_data()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset"><code class="docutils literal notranslate"><span class="pre">Dataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.__init__"><code class="docutils literal notranslate"><span class="pre">Dataset.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.test_loader"><code class="docutils literal notranslate"><span class="pre">Dataset.test_loader()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.train_loader"><code class="docutils literal notranslate"><span class="pre">Dataset.train_loader()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.EmptyFileException"><code class="docutils literal notranslate"><span class="pre">EmptyFileException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.FileNotSortedException"><code class="docutils literal notranslate"><span class="pre">FileNotSortedException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.MissingFieldsException"><code class="docutils literal notranslate"><span class="pre">MissingFieldsException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.MissingUserException"><code class="docutils literal notranslate"><span class="pre">MissingUserException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler"><code class="docutils literal notranslate"><span class="pre">NegativeSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler.__init__"><code class="docutils literal notranslate"><span class="pre">NegativeSampler.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler.sample"><code class="docutils literal notranslate"><span class="pre">NegativeSampler.sample()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF"><code class="docutils literal notranslate"><span class="pre">NCF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.__init__"><code class="docutils literal notranslate"><span class="pre">NCF.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.fit"><code class="docutils literal notranslate"><span class="pre">NCF.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.load"><code class="docutils literal notranslate"><span class="pre">NCF.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.predict"><code class="docutils literal notranslate"><span class="pre">NCF.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.save"><code class="docutils literal notranslate"><span class="pre">NCF.save()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#newsrec-utilities">NewsRec utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Iterators</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Utilities</a></li>
-</ul>
-</li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.lstur">LSTUR</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.naml">NAML</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.npa">NPA</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.nrms">NRMS</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.rbm.rbm">RBM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sar.sar_singlenode">SAR</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.model">SASRec</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.ssept">SSE-PT</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.surprise.surprise_utils">Surprise utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.tfidf.tfidf_utils">TF-IDF utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.standard_vae">Standard VAE</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.multinomial_vae">Multinomial VAE</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vowpal_wabbit.vw">Vowpal Wabbit utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.wide_deep.wide_deep_utils">Wide &amp; Deep</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel"><code class="docutils literal notranslate"><span class="pre">BaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.hparams"><code class="docutils literal notranslate"><span class="pre">BaseModel.hparams</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.train_iterator"><code class="docutils literal notranslate"><span class="pre">BaseModel.train_iterator</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.test_iterator"><code class="docutils literal notranslate"><span class="pre">BaseModel.test_iterator</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.graph"><code class="docutils literal notranslate"><span class="pre">BaseModel.graph</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.seed"><code class="docutils literal notranslate"><span class="pre">BaseModel.seed</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">BaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.fit"><code class="docutils literal notranslate"><span class="pre">BaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.group_labels"><code class="docutils literal notranslate"><span class="pre">BaseModel.group_labels()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.run_eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.train"><code class="docutils literal notranslate"><span class="pre">BaseModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Iterators</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator"><code class="docutils literal notranslate"><span class="pre">MINDIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter"><code class="docutils literal notranslate"><span class="pre">MINDIterator.col_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter"><code class="docutils literal notranslate"><span class="pre">MINDIterator.ID_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.batch_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.title_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.his_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio"><code class="docutils literal notranslate"><span class="pre">MINDIterator.npratio</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__"><code class="docutils literal notranslate"><span class="pre">MINDIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors"><code class="docutils literal notranslate"><span class="pre">MINDIterator.init_behaviors()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news"><code class="docutils literal notranslate"><span class="pre">MINDIterator.init_news()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_impression_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_news_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_user_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">MINDIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.col_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.ID_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.batch_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.title_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.body_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.his_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.npratio</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.init_behaviors()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.init_news()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_impression_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_news_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_user_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2"><code class="docutils literal notranslate"><span class="pre">AttLayer2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.dim"><code class="docutils literal notranslate"><span class="pre">AttLayer2.dim</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.__init__"><code class="docutils literal notranslate"><span class="pre">AttLayer2.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.build"><code class="docutils literal notranslate"><span class="pre">AttLayer2.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.call"><code class="docutils literal notranslate"><span class="pre">AttLayer2.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask"><code class="docutils literal notranslate"><span class="pre">AttLayer2.compute_mask()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">AttLayer2.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking"><code class="docutils literal notranslate"><span class="pre">ComputeMasking</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking.call"><code class="docutils literal notranslate"><span class="pre">ComputeMasking.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">ComputeMasking.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.build"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.call"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling"><code class="docutils literal notranslate"><span class="pre">PersonalizedAttentivePooling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim1"><code class="docutils literal notranslate"><span class="pre">dim1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim2"><code class="docutils literal notranslate"><span class="pre">dim2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim3"><code class="docutils literal notranslate"><span class="pre">dim3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention"><code class="docutils literal notranslate"><span class="pre">SelfAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.Mask"><code class="docutils literal notranslate"><span class="pre">SelfAttention.Mask()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.__init__"><code class="docutils literal notranslate"><span class="pre">SelfAttention.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.build"><code class="docutils literal notranslate"><span class="pre">SelfAttention.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.call"><code class="docutils literal notranslate"><span class="pre">SelfAttention.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">SelfAttention.compute_output_shape()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.get_config"><code class="docutils literal notranslate"><span class="pre">SelfAttention.get_config()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.check_nn_config"><code class="docutils literal notranslate"><span class="pre">check_nn_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.check_type"><code class="docutils literal notranslate"><span class="pre">check_type()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.create_hparams"><code class="docutils literal notranslate"><span class="pre">create_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.get_mind_data_set"><code class="docutils literal notranslate"><span class="pre">get_mind_data_set()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.newsample"><code class="docutils literal notranslate"><span class="pre">newsample()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.prepare_hparams"><code class="docutils literal notranslate"><span class="pre">prepare_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.word_tokenize"><code class="docutils literal notranslate"><span class="pre">word_tokenize()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.lstur">LSTUR</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel"><code class="docutils literal notranslate"><span class="pre">LSTURModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">LSTURModel.word2vec_embedding</span></code></a></li>
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+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.naml">NAML</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel"><code class="docutils literal notranslate"><span class="pre">NAMLModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NAMLModel.word2vec_embedding</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.__init__"><code class="docutils literal notranslate"><span class="pre">NAMLModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.npa">NPA</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel"><code class="docutils literal notranslate"><span class="pre">NPAModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NPAModel.word2vec_embedding</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.__init__"><code class="docutils literal notranslate"><span class="pre">NPAModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.nrms">NRMS</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel"><code class="docutils literal notranslate"><span class="pre">NRMSModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NRMSModel.word2vec_embedding</span></code></a></li>
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+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.rbm.rbm">RBM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM"><code class="docutils literal notranslate"><span class="pre">RBM</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.__init__"><code class="docutils literal notranslate"><span class="pre">RBM.__init__()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.eval_out"><code class="docutils literal notranslate"><span class="pre">RBM.eval_out()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.fit"><code class="docutils literal notranslate"><span class="pre">RBM.fit()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.gibbs_protocol"><code class="docutils literal notranslate"><span class="pre">RBM.gibbs_protocol()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.gibbs_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.gibbs_sampling()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_training_session"><code class="docutils literal notranslate"><span class="pre">RBM.init_training_session()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.load"><code class="docutils literal notranslate"><span class="pre">RBM.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.losses"><code class="docutils literal notranslate"><span class="pre">RBM.losses()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.multinomial_distribution"><code class="docutils literal notranslate"><span class="pre">RBM.multinomial_distribution()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.multinomial_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.multinomial_sampling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.placeholder"><code class="docutils literal notranslate"><span class="pre">RBM.placeholder()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.predict"><code class="docutils literal notranslate"><span class="pre">RBM.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">RBM.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.sample_hidden_units"><code class="docutils literal notranslate"><span class="pre">RBM.sample_hidden_units()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.sample_visible_units"><code class="docutils literal notranslate"><span class="pre">RBM.sample_visible_units()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.save"><code class="docutils literal notranslate"><span class="pre">RBM.save()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sar.sar_singlenode">SAR</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode"><code class="docutils literal notranslate"><span class="pre">SARSingleNode</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.__init__()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_cooccurrence_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_time_decay()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.fit"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_item_based_topk()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_popularity_based_topk()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_topk_most_similar_users()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.predict"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.score"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.set_index()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.model">SASRec</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder"><code class="docutils literal notranslate"><span class="pre">Encoder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder.__init__"><code class="docutils literal notranslate"><span class="pre">Encoder.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder.call"><code class="docutils literal notranslate"><span class="pre">Encoder.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer"><code class="docutils literal notranslate"><span class="pre">EncoderLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.__init__"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.call"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.call_"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.call_()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization"><code class="docutils literal notranslate"><span class="pre">LayerNormalization</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization.__init__"><code class="docutils literal notranslate"><span class="pre">LayerNormalization.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization.call"><code class="docutils literal notranslate"><span class="pre">LayerNormalization.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention.__init__"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention.call"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward.__init__"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward.call"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC"><code class="docutils literal notranslate"><span class="pre">SASREC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.__init__"><code class="docutils literal notranslate"><span class="pre">SASREC.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.call"><code class="docutils literal notranslate"><span class="pre">SASREC.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.create_combined_dataset"><code class="docutils literal notranslate"><span class="pre">SASREC.create_combined_dataset()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.embedding"><code class="docutils literal notranslate"><span class="pre">SASREC.embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.evaluate"><code class="docutils literal notranslate"><span class="pre">SASREC.evaluate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.evaluate_valid"><code class="docutils literal notranslate"><span class="pre">SASREC.evaluate_valid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.loss_function"><code class="docutils literal notranslate"><span class="pre">SASREC.loss_function()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.predict"><code class="docutils literal notranslate"><span class="pre">SASREC.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.train"><code class="docutils literal notranslate"><span class="pre">SASREC.train()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler"><code class="docutils literal notranslate"><span class="pre">WarpSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.User"><code class="docutils literal notranslate"><span class="pre">WarpSampler.User</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.usernum"><code class="docutils literal notranslate"><span class="pre">WarpSampler.usernum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.itemnum"><code class="docutils literal notranslate"><span class="pre">WarpSampler.itemnum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.batch_size"><code class="docutils literal notranslate"><span class="pre">WarpSampler.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.maxlen"><code class="docutils literal notranslate"><span class="pre">WarpSampler.maxlen</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.n_workers"><code class="docutils literal notranslate"><span class="pre">WarpSampler.n_workers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.__init__"><code class="docutils literal notranslate"><span class="pre">WarpSampler.__init__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.sample_function"><code class="docutils literal notranslate"><span class="pre">sample_function()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.usernum"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.usernum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.itemnum"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.itemnum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.User"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.User</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.Items"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.Items</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_train"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_train</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_valid"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_valid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_test"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_test</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.col_sep"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.col_sep</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.filename"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.filename</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.ssept">SSE-PT</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT"><code class="docutils literal notranslate"><span class="pre">SSEPT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.__init__"><code class="docutils literal notranslate"><span class="pre">SSEPT.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.call"><code class="docutils literal notranslate"><span class="pre">SSEPT.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.loss_function"><code class="docutils literal notranslate"><span class="pre">SSEPT.loss_function()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.predict"><code class="docutils literal notranslate"><span class="pre">SSEPT.predict()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.surprise.surprise_utils">Surprise utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.compute_ranking_predictions"><code class="docutils literal notranslate"><span class="pre">compute_ranking_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.predict"><code class="docutils literal notranslate"><span class="pre">predict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df"><code class="docutils literal notranslate"><span class="pre">surprise_trainset_to_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.tfidf.tfidf_utils">TF-IDF utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.clean_dataframe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_stop_words()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_tokens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_top_k_recommendations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.recommend_top_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.tokenize_text()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.standard_vae">Standard VAE</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.__init__"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.get_data"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_batch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory"><code class="docutils literal notranslate"><span class="pre">LossHistory</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory.on_train_begin"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics"><code class="docutils literal notranslate"><span class="pre">Metrics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.__init__"><code class="docutils literal notranslate"><span class="pre">Metrics.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.get_data"><code class="docutils literal notranslate"><span class="pre">Metrics.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">Metrics.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.on_train_begin"><code class="docutils literal notranslate"><span class="pre">Metrics.on_train_begin()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Metrics.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE"><code class="docutils literal notranslate"><span class="pre">StandardVAE</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.__init__"><code class="docutils literal notranslate"><span class="pre">StandardVAE.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.display_metrics"><code class="docutils literal notranslate"><span class="pre">StandardVAE.display_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.fit"><code class="docutils literal notranslate"><span class="pre">StandardVAE.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta"><code class="docutils literal notranslate"><span class="pre">StandardVAE.get_optimal_beta()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch"><code class="docutils literal notranslate"><span class="pre">StandardVAE.ndcg_per_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator"><code class="docutils literal notranslate"><span class="pre">StandardVAE.nn_batch_generator()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">StandardVAE.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.multinomial_vae">Multinomial VAE</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_batch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory"><code class="docutils literal notranslate"><span class="pre">LossHistory</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics"><code class="docutils literal notranslate"><span class="pre">Metrics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.__init__"><code class="docutils literal notranslate"><span class="pre">Metrics.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.get_data"><code class="docutils literal notranslate"><span class="pre">Metrics.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">Metrics.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin"><code class="docutils literal notranslate"><span class="pre">Metrics.on_train_begin()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Metrics.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE"><code class="docutils literal notranslate"><span class="pre">Mult_VAE</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.display_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.fit"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.get_optimal_beta()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.ndcg_per_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.nn_batch_generator()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vowpal_wabbit.vw">Vowpal Wabbit utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW"><code class="docutils literal notranslate"><span class="pre">VW</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.fit"><code class="docutils literal notranslate"><span class="pre">VW.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params"><code class="docutils literal notranslate"><span class="pre">VW.parse_test_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params"><code class="docutils literal notranslate"><span class="pre">VW.parse_train_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.predict"><code class="docutils literal notranslate"><span class="pre">VW.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd"><code class="docutils literal notranslate"><span class="pre">VW.to_vw_cmd()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file"><code class="docutils literal notranslate"><span class="pre">VW.to_vw_file()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.wide_deep.wide_deep_utils">Wide &amp; Deep</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns"><code class="docutils literal notranslate"><span class="pre">build_feature_columns()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.wide_deep.wide_deep_utils.build_model"><code class="docutils literal notranslate"><span class="pre">build_model()</span></code></a></li>
+</ul>
+</li>
 </ul>
   </nav></div>
 
@@ -6353,7 +7507,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -6377,8 +7531,8 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/py-modindex.html b/docs/_build/html/py-modindex.html
index 5c2ae7b77..817ae586a 100644
--- a/docs/_build/html/py-modindex.html
+++ b/docs/_build/html/py-modindex.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
-    <link rel="stylesheet" href="_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
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-    <link rel="stylesheet" type="text/css" href="_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
-    <script src="_static/jquery.js"></script>
-    <script src="_static/underscore.js"></script>
-    <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
-    <script src="_static/doctools.js"></script>
-    <script src="_static/clipboard.min.js"></script>
-    <script src="_static/copybutton.js"></script>
-    <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="_static/tabs.js"></script>
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="_static/togglebutton.js"></script>
+    <script src="_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'py-modindex';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/py-modindex.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
 
@@ -83,7 +86,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -123,13 +125,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -170,7 +169,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -751,7 +761,7 @@ <h1>Python Module Index</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -775,8 +785,8 @@ <h1>Python Module Index</h1>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/search.html b/docs/_build/html/search.html
index a8cb07199..95d73de03 100644
--- a/docs/_build/html/search.html
+++ b/docs/_build/html/search.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
@@ -17,57 +16,61 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
-    <link rel="stylesheet" href="_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
-    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=384b581d" />
+    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
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-    <link rel="stylesheet" type="text/css" href="_static/tabs.css" />
-    <link rel="stylesheet" type="text/css" href="_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
+    <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="_static/tabs.css?v=4c969af8" />
+    <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509" />
-<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509" />
-  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=bd9e20870c6007c4c509"></script>
-
-    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
-    <script src="_static/jquery.js"></script>
-    <script src="_static/underscore.js"></script>
-    <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
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-    <script src="_static/clipboard.min.js"></script>
-    <script src="_static/copybutton.js"></script>
-    <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
-    <script src="_static/tabs.js"></script>
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="_static/togglebutton.js"></script>
+    <script src="_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'search';</script>
   <script src="_static/searchtools.js"></script>
   <script src="_static/language_data.js"></script>
   <script src="searchindex.js"></script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/search.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="#" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -82,7 +85,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -122,13 +124,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -169,7 +168,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -383,7 +393,7 @@ <h1>Search</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -407,8 +417,8 @@ <h1>Search</h1>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/docs/_build/html/searchindex.js b/docs/_build/html/searchindex.js
index 63922ef99..436432031 100644
--- a/docs/_build/html/searchindex.js
+++ b/docs/_build/html/searchindex.js
@@ -1 +1 @@
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@@ -374,7 +382,10 @@ <h2> Contents </h2>
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-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.tuning.parameter_sweep">Parameter sweep utils</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.tuning.parameter_sweep">Parameter sweep utils</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.tuning.parameter_sweep.generate_param_grid"><code class="docutils literal notranslate"><span class="pre">generate_param_grid()</span></code></a></li>
+</ul>
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@@ -387,13 +398,13 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="hyperparameter-tuning-module">
-<span id="tuning"></span><h1>Hyperparameter tuning module<a class="headerlink" href="#hyperparameter-tuning-module" title="Permalink to this heading">#</a></h1>
+<span id="tuning"></span><h1>Hyperparameter tuning module<a class="headerlink" href="#hyperparameter-tuning-module" title="Link to this heading">#</a></h1>
 <p>Hyperparameter tuning module from Recommenders utilities.</p>
 <section id="module-recommenders.tuning.parameter_sweep">
-<span id="parameter-sweep-utils"></span><h2>Parameter sweep utils<a class="headerlink" href="#module-recommenders.tuning.parameter_sweep" title="Permalink to this heading">#</a></h2>
+<span id="parameter-sweep-utils"></span><h2>Parameter sweep utils<a class="headerlink" href="#module-recommenders.tuning.parameter_sweep" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.tuning.parameter_sweep.generate_param_grid">
-<span class="sig-prename descclassname"><span class="pre">recommenders.tuning.parameter_sweep.</span></span><span class="sig-name descname"><span class="pre">generate_param_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/tuning/parameter_sweep.html#generate_param_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.tuning.parameter_sweep.generate_param_grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.tuning.parameter_sweep.</span></span><span class="sig-name descname"><span class="pre">generate_param_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/tuning/parameter_sweep.html#generate_param_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.tuning.parameter_sweep.generate_param_grid" title="Link to this definition">#</a></dt>
 <dd><p>Generator of parameter grids.
 Generate parameter lists from a parameter dictionary in the form of:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
@@ -492,7 +503,10 @@ <h2> Contents </h2>
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.tuning.parameter_sweep">Parameter sweep utils</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.tuning.parameter_sweep">Parameter sweep utils</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.tuning.parameter_sweep.generate_param_grid"><code class="docutils literal notranslate"><span class="pre">generate_param_grid()</span></code></a></li>
+</ul>
+</li>
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@@ -517,7 +531,7 @@ <h2> Contents </h2>
 
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@@ -541,8 +555,8 @@ <h2> Contents </h2>
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index 22325d92a..d8366675d 100644
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@@ -373,15 +381,83 @@ <h2> Contents </h2>
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                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.general_utils">General utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.gpu_utils">GPU utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.k8s_utils">Kubernetes utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.notebook_utils">Notebook utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.python_utils">Python utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.spark_utils">Spark utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.tf_utils">Tensorflow utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.timer">Timer</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.plot">Plot utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.general_utils">General utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.get_number_processors"><code class="docutils literal notranslate"><span class="pre">get_number_processors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.get_physical_memory"><code class="docutils literal notranslate"><span class="pre">get_physical_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.invert_dictionary"><code class="docutils literal notranslate"><span class="pre">invert_dictionary()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.gpu_utils">GPU utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.clear_memory_all_gpus"><code class="docutils literal notranslate"><span class="pre">clear_memory_all_gpus()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_cuda_version"><code class="docutils literal notranslate"><span class="pre">get_cuda_version()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_cudnn_version"><code class="docutils literal notranslate"><span class="pre">get_cudnn_version()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_gpu_info"><code class="docutils literal notranslate"><span class="pre">get_gpu_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_number_gpus"><code class="docutils literal notranslate"><span class="pre">get_number_gpus()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.k8s_utils">Kubernetes utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.nodes_to_replicas"><code class="docutils literal notranslate"><span class="pre">nodes_to_replicas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.qps_to_replicas"><code class="docutils literal notranslate"><span class="pre">qps_to_replicas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.replicas_to_qps"><code class="docutils literal notranslate"><span class="pre">replicas_to_qps()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.notebook_utils">Notebook utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.execute_notebook"><code class="docutils literal notranslate"><span class="pre">execute_notebook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.is_databricks"><code class="docutils literal notranslate"><span class="pre">is_databricks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.is_jupyter"><code class="docutils literal notranslate"><span class="pre">is_jupyter()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.read_notebook"><code class="docutils literal notranslate"><span class="pre">read_notebook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.store_metadata"><code class="docutils literal notranslate"><span class="pre">store_metadata()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.pre_run_cell"><code class="docutils literal notranslate"><span class="pre">pre_run_cell()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.stop_watching_memory"><code class="docutils literal notranslate"><span class="pre">stop_watching_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.watch_memory"><code class="docutils literal notranslate"><span class="pre">watch_memory()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.python_utils">Python utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.binarize"><code class="docutils literal notranslate"><span class="pre">binarize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.cosine_similarity"><code class="docutils literal notranslate"><span class="pre">cosine_similarity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.exponential_decay"><code class="docutils literal notranslate"><span class="pre">exponential_decay()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.get_top_k_scored_items"><code class="docutils literal notranslate"><span class="pre">get_top_k_scored_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.inclusion_index"><code class="docutils literal notranslate"><span class="pre">inclusion_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.jaccard"><code class="docutils literal notranslate"><span class="pre">jaccard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.lexicographers_mutual_information"><code class="docutils literal notranslate"><span class="pre">lexicographers_mutual_information()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.lift"><code class="docutils literal notranslate"><span class="pre">lift()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.mutual_information"><code class="docutils literal notranslate"><span class="pre">mutual_information()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.rescale"><code class="docutils literal notranslate"><span class="pre">rescale()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.spark_utils">Spark utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.spark_utils.start_or_get_spark"><code class="docutils literal notranslate"><span class="pre">start_or_get_spark()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.tf_utils">Tensorflow utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger"><code class="docutils literal notranslate"><span class="pre">MetricsLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.__init__"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.get_log"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.get_log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.log"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.log()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.build_optimizer"><code class="docutils literal notranslate"><span class="pre">build_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.evaluation_log_hook"><code class="docutils literal notranslate"><span class="pre">evaluation_log_hook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.export_model"><code class="docutils literal notranslate"><span class="pre">export_model()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.pandas_input_fn"><code class="docutils literal notranslate"><span class="pre">pandas_input_fn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model"><code class="docutils literal notranslate"><span class="pre">pandas_input_fn_for_saved_model()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.timer">Timer</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer"><code class="docutils literal notranslate"><span class="pre">Timer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.__init__"><code class="docutils literal notranslate"><span class="pre">Timer.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.interval"><code class="docutils literal notranslate"><span class="pre">Timer.interval</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.start"><code class="docutils literal notranslate"><span class="pre">Timer.start()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.stop"><code class="docutils literal notranslate"><span class="pre">Timer.stop()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.plot">Plot utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.plot.line_graph"><code class="docutils literal notranslate"><span class="pre">line_graph()</span></code></a></li>
+</ul>
+</li>
 </ul>
             </nav>
         </div>
@@ -394,12 +470,12 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="common-utilities-module">
-<span id="common"></span><h1>Common utilities module<a class="headerlink" href="#common-utilities-module" title="Permalink to this heading">#</a></h1>
+<span id="common"></span><h1>Common utilities module<a class="headerlink" href="#common-utilities-module" title="Link to this heading">#</a></h1>
 <section id="module-recommenders.utils.general_utils">
-<span id="general-utilities"></span><h2>General utilities<a class="headerlink" href="#module-recommenders.utils.general_utils" title="Permalink to this heading">#</a></h2>
+<span id="general-utilities"></span><h2>General utilities<a class="headerlink" href="#module-recommenders.utils.general_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.general_utils.get_number_processors">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">get_number_processors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#get_number_processors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.get_number_processors" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">get_number_processors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#get_number_processors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.get_number_processors" title="Link to this definition">#</a></dt>
 <dd><p>Get the number of processors in a CPU.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -413,7 +489,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.general_utils.get_physical_memory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">get_physical_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#get_physical_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.get_physical_memory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">get_physical_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#get_physical_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.get_physical_memory" title="Link to this definition">#</a></dt>
 <dd><p>Get the physical memory in GBs.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -427,7 +503,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.general_utils.invert_dictionary">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">invert_dictionary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dictionary</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#invert_dictionary"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.invert_dictionary" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">invert_dictionary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dictionary</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#invert_dictionary"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.invert_dictionary" title="Link to this definition">#</a></dt>
 <dd><p>Invert a dictionary</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -449,16 +525,16 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.gpu_utils">
-<span id="gpu-utilities"></span><h2>GPU utilities<a class="headerlink" href="#module-recommenders.utils.gpu_utils" title="Permalink to this heading">#</a></h2>
+<span id="gpu-utilities"></span><h2>GPU utilities<a class="headerlink" href="#module-recommenders.utils.gpu_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.clear_memory_all_gpus">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">clear_memory_all_gpus</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#clear_memory_all_gpus"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.clear_memory_all_gpus" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">clear_memory_all_gpus</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#clear_memory_all_gpus"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.clear_memory_all_gpus" title="Link to this definition">#</a></dt>
 <dd><p>Clear memory of all GPUs.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.get_cuda_version">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_cuda_version</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_cuda_version"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_cuda_version" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_cuda_version</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_cuda_version"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_cuda_version" title="Link to this definition">#</a></dt>
 <dd><p>Get CUDA version</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -472,7 +548,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.get_cudnn_version">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_cudnn_version</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_cudnn_version"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_cudnn_version" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_cudnn_version</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_cudnn_version"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_cudnn_version" title="Link to this definition">#</a></dt>
 <dd><p>Get the CuDNN version</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -486,7 +562,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.get_gpu_info">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_gpu_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_gpu_info"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_gpu_info" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_gpu_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_gpu_info"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_gpu_info" title="Link to this definition">#</a></dt>
 <dd><p>Get information of GPUs.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -501,7 +577,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.get_number_gpus">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_number_gpus</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_number_gpus"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_number_gpus" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_number_gpus</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_number_gpus"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_number_gpus" title="Link to this definition">#</a></dt>
 <dd><p>Get the number of GPUs in the system.
 :returns: Number of GPUs.
 :rtype: int</p>
@@ -509,10 +585,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.k8s_utils">
-<span id="kubernetes-utilities"></span><h2>Kubernetes utilities<a class="headerlink" href="#module-recommenders.utils.k8s_utils" title="Permalink to this heading">#</a></h2>
+<span id="kubernetes-utilities"></span><h2>Kubernetes utilities<a class="headerlink" href="#module-recommenders.utils.k8s_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.k8s_utils.nodes_to_replicas">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">nodes_to_replicas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_cores_per_node</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu_cores_per_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#nodes_to_replicas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.nodes_to_replicas" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">nodes_to_replicas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_cores_per_node</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu_cores_per_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#nodes_to_replicas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.nodes_to_replicas" title="Link to this definition">#</a></dt>
 <dd><p>Provide a rough estimate of the number of replicas supported by a
 given number of nodes with n_cores_per_node cores each</p>
 <dl class="field-list simple">
@@ -537,7 +613,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.k8s_utils.qps_to_replicas">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">qps_to_replicas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target_qps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processing_time</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_qp_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_utilization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#qps_to_replicas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.qps_to_replicas" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">qps_to_replicas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target_qps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processing_time</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_qp_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_utilization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#qps_to_replicas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.qps_to_replicas" title="Link to this definition">#</a></dt>
 <dd><p>Provide a rough estimate of the number of replicas to support a given
 load (queries per second)</p>
 <dl class="field-list simple">
@@ -561,7 +637,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.k8s_utils.replicas_to_qps">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">replicas_to_qps</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_replicas</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processing_time</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_qp_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_utilization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#replicas_to_qps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.replicas_to_qps" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">replicas_to_qps</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_replicas</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processing_time</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_qp_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_utilization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#replicas_to_qps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.replicas_to_qps" title="Link to this definition">#</a></dt>
 <dd><p>Provide a rough estimate of the queries per second supported by a number of replicas</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -583,10 +659,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.notebook_utils">
-<span id="notebook-utilities"></span><h2>Notebook utilities<a class="headerlink" href="#module-recommenders.utils.notebook_utils" title="Permalink to this heading">#</a></h2>
+<span id="notebook-utilities"></span><h2>Notebook utilities<a class="headerlink" href="#module-recommenders.utils.notebook_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.execute_notebook">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">execute_notebook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_notebook</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_notebook</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'python3'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2200</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#execute_notebook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.execute_notebook" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">execute_notebook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_notebook</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_notebook</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'python3'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2200</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#execute_notebook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.execute_notebook" title="Link to this definition">#</a></dt>
 <dd><p>Execute a notebook while passing parameters to it.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -609,7 +685,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.is_databricks">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">is_databricks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#is_databricks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.is_databricks" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">is_databricks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#is_databricks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.is_databricks" title="Link to this definition">#</a></dt>
 <dd><p>Check if the module is running on Databricks.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -624,7 +700,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.is_jupyter">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">is_jupyter</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#is_jupyter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.is_jupyter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">is_jupyter</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#is_jupyter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.is_jupyter" title="Link to this definition">#</a></dt>
 <dd><p>Check if the module is running on Jupyter notebook/console.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -639,7 +715,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.read_notebook">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">read_notebook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#read_notebook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.read_notebook" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">read_notebook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#read_notebook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.read_notebook" title="Link to this definition">#</a></dt>
 <dd><p>Read the metadata stored in the notebook’s output source code.
 This function is similar to snapbook.read_notebook().</p>
 <dl class="field-list simple">
@@ -657,7 +733,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.store_metadata">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">store_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#store_metadata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.store_metadata" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">store_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#store_metadata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.store_metadata" title="Link to this definition">#</a></dt>
 <dd><p>Store data in the notebook’s output source code.
 This function is similar to snapbook.glue().</p>
 <dl class="field-list simple">
@@ -670,36 +746,36 @@ <h2> Contents </h2>
 </dl>
 </dd></dl>
 
-<span class="target" id="module-recommenders.utils.notebook_memory_management"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.utils.notebook_memory_management">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_memory_management.pre_run_cell">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">pre_run_cell</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#pre_run_cell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.pre_run_cell" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">pre_run_cell</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#pre_run_cell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.pre_run_cell" title="Link to this definition">#</a></dt>
 <dd><p>Capture current time before we execute the current command</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_memory_management.start_watching_memory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">start_watching_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#start_watching_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.start_watching_memory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">start_watching_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#start_watching_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.start_watching_memory" title="Link to this definition">#</a></dt>
 <dd><p>Register memory profiling tools to IPython instance.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_memory_management.stop_watching_memory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">stop_watching_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#stop_watching_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.stop_watching_memory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">stop_watching_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#stop_watching_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.stop_watching_memory" title="Link to this definition">#</a></dt>
 <dd><p>Unregister memory profiling tools from IPython instance.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_memory_management.watch_memory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">watch_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#watch_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.watch_memory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">watch_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#watch_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.watch_memory" title="Link to this definition">#</a></dt>
 <dd><p>Bring in the global memory usage value from the previous iteration</p>
 </dd></dl>
 
 </section>
 <section id="module-recommenders.utils.python_utils">
-<span id="python-utilities"></span><h2>Python utilities<a class="headerlink" href="#module-recommenders.utils.python_utils" title="Permalink to this heading">#</a></h2>
+<span id="python-utilities"></span><h2>Python utilities<a class="headerlink" href="#module-recommenders.utils.python_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.binarize">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">binarize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#binarize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.binarize" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">binarize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#binarize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.binarize" title="Link to this definition">#</a></dt>
 <dd><p>Binarize the values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -719,7 +795,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.cosine_similarity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">cosine_similarity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#cosine_similarity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.cosine_similarity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">cosine_similarity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#cosine_similarity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.cosine_similarity" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Cosine similarity of a matrix of
 co-occurrences.</p>
 <p>Cosine similarity can be interpreted as the angle between the i-th
@@ -739,7 +815,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.exponential_decay">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">exponential_decay</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_val</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">half_life</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#exponential_decay"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.exponential_decay" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">exponential_decay</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_val</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">half_life</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#exponential_decay"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.exponential_decay" title="Link to this definition">#</a></dt>
 <dd><p>Compute decay factor for a given value based on an exponential decay.</p>
 <p>Values greater than <cite>max_val</cite> will be set to 1.</p>
 <dl class="field-list simple">
@@ -761,7 +837,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.get_top_k_scored_items">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">get_top_k_scored_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scores</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#get_top_k_scored_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.get_top_k_scored_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">get_top_k_scored_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scores</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#get_top_k_scored_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.get_top_k_scored_items" title="Link to this definition">#</a></dt>
 <dd><p>Extract top K items from a matrix of scores for each user-item pair, optionally sort results per user.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -786,7 +862,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.inclusion_index">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">inclusion_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#inclusion_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.inclusion_index" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">inclusion_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#inclusion_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.inclusion_index" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Inclusion Index of a matrix of
 co-occurrences.</p>
 <p>Inclusion index measures the overlap between items.</p>
@@ -805,7 +881,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.jaccard">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">jaccard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#jaccard"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.jaccard" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">jaccard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#jaccard"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.jaccard" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Jaccard similarity of a matrix of
 co-occurrences.  When comparing Jaccard with count co-occurrence
 and lift similarity, count favours predictability, meaning that
@@ -829,7 +905,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.lexicographers_mutual_information">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">lexicographers_mutual_information</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#lexicographers_mutual_information"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.lexicographers_mutual_information" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">lexicographers_mutual_information</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#lexicographers_mutual_information"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.lexicographers_mutual_information" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Lexicographers Mutual Information of
 a matrix of co-occurrences.</p>
 <p>Due to the bias of mutual information for low frequency items,
@@ -850,7 +926,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.lift">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">lift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#lift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.lift" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">lift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#lift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.lift" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Lift of a matrix of
 co-occurrences. In comparison with basic co-occurrence and Jaccard
 similarity, lift favours discoverability and serendipity, as
@@ -871,7 +947,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.mutual_information">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">mutual_information</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#mutual_information"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.mutual_information" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">mutual_information</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#mutual_information"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.mutual_information" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Mutual Information of a matrix of
 co-occurrences.</p>
 <p>Mutual information is a measurement of the amount of information
@@ -891,7 +967,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.rescale">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">rescale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#rescale"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.rescale" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">rescale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#rescale"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.rescale" title="Link to this definition">#</a></dt>
 <dd><p>Rescale/normalize the data to be within the range <cite>[new_min, new_max]</cite>
 If data_min and data_max are explicitly provided, they will be used
 as the old min/max values instead of taken from the data.</p>
@@ -921,10 +997,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.spark_utils">
-<span id="spark-utilities"></span><h2>Spark utilities<a class="headerlink" href="#module-recommenders.utils.spark_utils" title="Permalink to this heading">#</a></h2>
+<span id="spark-utilities"></span><h2>Spark utilities<a class="headerlink" href="#module-recommenders.utils.spark_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.spark_utils.start_or_get_spark">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.spark_utils.</span></span><span class="sig-name descname"><span class="pre">start_or_get_spark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">app_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'local[*]'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'10g'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">packages</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">jars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repositories</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/spark_utils.html#start_or_get_spark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.spark_utils.start_or_get_spark" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.spark_utils.</span></span><span class="sig-name descname"><span class="pre">start_or_get_spark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">app_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'local[*]'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'10g'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">packages</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">jars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repositories</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/spark_utils.html#start_or_get_spark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.spark_utils.start_or_get_spark" title="Link to this definition">#</a></dt>
 <dd><p>Start Spark if not started</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -949,20 +1025,20 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.tf_utils">
-<span id="tensorflow-utilities"></span><h2>Tensorflow utilities<a class="headerlink" href="#module-recommenders.utils.tf_utils" title="Permalink to this heading">#</a></h2>
+<span id="tensorflow-utilities"></span><h2>Tensorflow utilities<a class="headerlink" href="#module-recommenders.utils.tf_utils" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.MetricsLogger">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">MetricsLogger</span></span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">MetricsLogger</span></span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger" title="Link to this definition">#</a></dt>
 <dd><p>Metrics logger</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.MetricsLogger.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializer</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.MetricsLogger.get_log">
-<span class="sig-name descname"><span class="pre">get_log</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.get_log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.get_log" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_log</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.get_log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.get_log" title="Link to this definition">#</a></dt>
 <dd><p>Getter</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -976,7 +1052,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.MetricsLogger.log">
-<span class="sig-name descname"><span class="pre">log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metric</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.log" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metric</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.log" title="Link to this definition">#</a></dt>
 <dd><p>Log metrics. Each metric’s log will be stored in the corresponding list.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -992,7 +1068,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.build_optimizer">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">build_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#build_optimizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.build_optimizer" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">build_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#build_optimizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.build_optimizer" title="Link to this definition">#</a></dt>
 <dd><p>Get an optimizer for TensorFlow high-level API Estimator.</p>
 <p>Available options are: <cite>adadelta</cite>, <cite>adagrad</cite>, <cite>adam</cite>, <cite>ftrl</cite>, <cite>momentum</cite>, <cite>rmsprop</cite> or <cite>sgd</cite>.</p>
 <dl class="field-list simple">
@@ -1014,7 +1090,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.evaluation_log_hook">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">evaluation_log_hook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">every_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_fns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">eval_kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#evaluation_log_hook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.evaluation_log_hook" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">evaluation_log_hook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">every_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_fns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">eval_kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#evaluation_log_hook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.evaluation_log_hook" title="Link to this definition">#</a></dt>
 <dd><p>Evaluation log hook for TensorFlow high-level API Estimator.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1035,7 +1111,7 @@ <h2> Contents </h2>
 <li><p><strong>model_dir</strong> (<em>str</em>) – Model directory to save the summaries to. If None, does not record.</p></li>
 <li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples fed into the model at a time.
 Note, the batch size doesn’t affect on evaluation results.</p></li>
-<li><p><strong>eval_fns</strong> (<em>iterable of functions</em>) – List of evaluation functions that have signature of
+<li><p><strong>eval_fns</strong> (<em>iterable</em><em> of </em><em>functions</em>) – List of evaluation functions that have signature of
 <cite>(true_df, prediction_df, **eval_kwargs)</cite>-&gt;`float`. If None, loss is calculated on <cite>true_df</cite>.</p></li>
 <li><p><strong>eval_kwargs</strong> – Evaluation function’s keyword arguments.
 Note, prediction column name should be ‘prediction’</p></li>
@@ -1052,7 +1128,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.export_model">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_input_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_input_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tf_feat_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#export_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_input_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_input_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tf_feat_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#export_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.export_model" title="Link to this definition">#</a></dt>
 <dd><p>Export TensorFlow estimator (model).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1075,7 +1151,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.pandas_input_fn">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">pandas_input_fn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#pandas_input_fn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.pandas_input_fn" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">pandas_input_fn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#pandas_input_fn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.pandas_input_fn" title="Link to this definition">#</a></dt>
 <dd><p>Pandas input function for TensorFlow high-level API Estimator.
 This function returns a <cite>tf.data.Dataset</cite> function.</p>
 <div class="admonition note">
@@ -1105,7 +1181,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.pandas_input_fn_for_saved_model">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">pandas_input_fn_for_saved_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feat_name_type</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#pandas_input_fn_for_saved_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">pandas_input_fn_for_saved_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feat_name_type</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#pandas_input_fn_for_saved_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model" title="Link to this definition">#</a></dt>
 <dd><p>Pandas input function for TensorFlow SavedModel.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1126,10 +1202,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.timer">
-<span id="timer"></span><h2>Timer<a class="headerlink" href="#module-recommenders.utils.timer" title="Permalink to this heading">#</a></h2>
+<span id="timer"></span><h2>Timer<a class="headerlink" href="#module-recommenders.utils.timer" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.utils.timer.</span></span><span class="sig-name descname"><span class="pre">Timer</span></span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.utils.timer.</span></span><span class="sig-name descname"><span class="pre">Timer</span></span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer" title="Link to this definition">#</a></dt>
 <dd><p>Timer class.</p>
 <p><a class="reference external" href="https://github.com/miguelgfierro/pybase/blob/2298172a13fb4a243754acbc6029a4a2dcf72c20/log_base/timer.py">Original code</a>.</p>
 <p class="rubric">Examples</p>
@@ -1150,12 +1226,12 @@ <h2> Contents </h2>
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.__init__" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer.interval">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">interval</span></span><a class="headerlink" href="#recommenders.utils.timer.Timer.interval" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">interval</span></span><a class="headerlink" href="#recommenders.utils.timer.Timer.interval" title="Link to this definition">#</a></dt>
 <dd><p>Get time interval in seconds.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1169,13 +1245,13 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer.start">
-<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.start"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.start" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.start"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.start" title="Link to this definition">#</a></dt>
 <dd><p>Start the timer.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer.stop">
-<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.stop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.stop" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.stop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.stop" title="Link to this definition">#</a></dt>
 <dd><p>Stop the timer. Calculate the interval in seconds.</p>
 </dd></dl>
 
@@ -1183,10 +1259,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.plot">
-<span id="plot-utilities"></span><h2>Plot utilities<a class="headerlink" href="#module-recommenders.utils.plot" title="Permalink to this heading">#</a></h2>
+<span id="plot-utilities"></span><h2>Plot utilities<a class="headerlink" href="#module-recommenders.utils.plot" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.plot.line_graph">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.plot.</span></span><span class="sig-name descname"><span class="pre">line_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">values</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_guides</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_min_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_min_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">legend_loc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subplot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(5,</span> <span class="pre">5)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/plot.html#line_graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.plot.line_graph" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.plot.</span></span><span class="sig-name descname"><span class="pre">line_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">values</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_guides</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_min_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_min_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">legend_loc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subplot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(5,</span> <span class="pre">5)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/plot.html#line_graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.plot.line_graph" title="Link to this definition">#</a></dt>
 <dd><p>Plot line graph(s).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1267,15 +1343,83 @@ <h2> Contents </h2>
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.general_utils">General utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.gpu_utils">GPU utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.k8s_utils">Kubernetes utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.notebook_utils">Notebook utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.python_utils">Python utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.spark_utils">Spark utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.tf_utils">Tensorflow utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.timer">Timer</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.plot">Plot utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.general_utils">General utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.get_number_processors"><code class="docutils literal notranslate"><span class="pre">get_number_processors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.get_physical_memory"><code class="docutils literal notranslate"><span class="pre">get_physical_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.invert_dictionary"><code class="docutils literal notranslate"><span class="pre">invert_dictionary()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.gpu_utils">GPU utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.clear_memory_all_gpus"><code class="docutils literal notranslate"><span class="pre">clear_memory_all_gpus()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_cuda_version"><code class="docutils literal notranslate"><span class="pre">get_cuda_version()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_cudnn_version"><code class="docutils literal notranslate"><span class="pre">get_cudnn_version()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_gpu_info"><code class="docutils literal notranslate"><span class="pre">get_gpu_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_number_gpus"><code class="docutils literal notranslate"><span class="pre">get_number_gpus()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.k8s_utils">Kubernetes utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.nodes_to_replicas"><code class="docutils literal notranslate"><span class="pre">nodes_to_replicas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.qps_to_replicas"><code class="docutils literal notranslate"><span class="pre">qps_to_replicas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.replicas_to_qps"><code class="docutils literal notranslate"><span class="pre">replicas_to_qps()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.notebook_utils">Notebook utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.execute_notebook"><code class="docutils literal notranslate"><span class="pre">execute_notebook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.is_databricks"><code class="docutils literal notranslate"><span class="pre">is_databricks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.is_jupyter"><code class="docutils literal notranslate"><span class="pre">is_jupyter()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.read_notebook"><code class="docutils literal notranslate"><span class="pre">read_notebook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.store_metadata"><code class="docutils literal notranslate"><span class="pre">store_metadata()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.pre_run_cell"><code class="docutils literal notranslate"><span class="pre">pre_run_cell()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.start_watching_memory"><code class="docutils literal notranslate"><span class="pre">start_watching_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.stop_watching_memory"><code class="docutils literal notranslate"><span class="pre">stop_watching_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.watch_memory"><code class="docutils literal notranslate"><span class="pre">watch_memory()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.python_utils">Python utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.binarize"><code class="docutils literal notranslate"><span class="pre">binarize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.cosine_similarity"><code class="docutils literal notranslate"><span class="pre">cosine_similarity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.exponential_decay"><code class="docutils literal notranslate"><span class="pre">exponential_decay()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.get_top_k_scored_items"><code class="docutils literal notranslate"><span class="pre">get_top_k_scored_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.inclusion_index"><code class="docutils literal notranslate"><span class="pre">inclusion_index()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.mutual_information"><code class="docutils literal notranslate"><span class="pre">mutual_information()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.rescale"><code class="docutils literal notranslate"><span class="pre">rescale()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.spark_utils">Spark utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.spark_utils.start_or_get_spark"><code class="docutils literal notranslate"><span class="pre">start_or_get_spark()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.tf_utils">Tensorflow utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger"><code class="docutils literal notranslate"><span class="pre">MetricsLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.__init__"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.get_log"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.get_log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.log"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.log()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.build_optimizer"><code class="docutils literal notranslate"><span class="pre">build_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.evaluation_log_hook"><code class="docutils literal notranslate"><span class="pre">evaluation_log_hook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.export_model"><code class="docutils literal notranslate"><span class="pre">export_model()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.pandas_input_fn"><code class="docutils literal notranslate"><span class="pre">pandas_input_fn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model"><code class="docutils literal notranslate"><span class="pre">pandas_input_fn_for_saved_model()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.timer">Timer</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer"><code class="docutils literal notranslate"><span class="pre">Timer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.__init__"><code class="docutils literal notranslate"><span class="pre">Timer.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.interval"><code class="docutils literal notranslate"><span class="pre">Timer.interval</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.start"><code class="docutils literal notranslate"><span class="pre">Timer.start()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.stop"><code class="docutils literal notranslate"><span class="pre">Timer.stop()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.plot">Plot utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.plot.line_graph"><code class="docutils literal notranslate"><span class="pre">line_graph()</span></code></a></li>
+</ul>
+</li>
 </ul>
   </nav></div>
 
@@ -1300,7 +1444,7 @@ <h2> Contents </h2>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
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@@ -1324,8 +1468,8 @@ <h2> Contents </h2>
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diff --git a/docs/conf.py b/docs/conf.py
index ff6bac1fb..3f828137a 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -5,9 +5,9 @@
 ###############################################################################
 author = 'Recommenders contributors'
 comments_config = {'hypothesis': False, 'utterances': False}
-copyright = '2022'
+copyright = '2023'
 exclude_patterns = ['**.ipynb_checkpoints', '.DS_Store', 'Thumbs.db', '_build']
-extensions = ['sphinx_togglebutton', 'sphinx_copybutton', 'myst_nb', 'jupyter_book', 'sphinx_thebe', 'sphinx_comments', 'sphinx_external_toc', 'sphinx.ext.intersphinx', 'sphinx_design', 'sphinx_book_theme', 'sphinx_inline_tabs', 'sphinx.ext.autodoc', 'sphinx.ext.doctest', 'sphinx.ext.ifconfig', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx_jupyterbook_latex']
+extensions = ['sphinx_togglebutton', 'sphinx_copybutton', 'myst_nb', 'jupyter_book', 'sphinx_thebe', 'sphinx_comments', 'sphinx_external_toc', 'sphinx.ext.intersphinx', 'sphinx_design', 'sphinx_book_theme', 'sphinx_inline_tabs', 'sphinx.ext.autodoc', 'sphinx.ext.doctest', 'sphinx.ext.ifconfig', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx_jupyterbook_latex', 'sphinx_multitoc_numbering']
 external_toc_exclude_missing = False
 external_toc_path = '_toc.yml'
 html_baseurl = 'https://recommenders-team.github.io/recommenders/'
diff --git a/evaluation.html b/evaluation.html
index 2bfe38bd4..ef34f80d2 100644
--- a/evaluation.html
+++ b/evaluation.html
@@ -1,13 +1,12 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     <title>Evaluation module &#8212; Recommenders documentation</title>
   
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-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="genindex.html" />
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     <link rel="next" title="Recommender algorithms module" href="models.html" />
@@ -83,7 +86,6 @@
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@@ -123,21 +125,16 @@
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 </form></div>
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         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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@@ -374,8 +382,73 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.python_evaluation">Python evaluation</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.spark_evaluation">PySpark evaluation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.python_evaluation">Python evaluation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError"><code class="docutils literal notranslate"><span class="pre">ColumnMismatchError</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError.message"><code class="docutils literal notranslate"><span class="pre">ColumnMismatchError.message</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError"><code class="docutils literal notranslate"><span class="pre">ColumnTypeMismatchError</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message"><code class="docutils literal notranslate"><span class="pre">ColumnTypeMismatchError.message</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.auc"><code class="docutils literal notranslate"><span class="pre">auc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.catalog_coverage"><code class="docutils literal notranslate"><span class="pre">catalog_coverage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.distributional_coverage"><code class="docutils literal notranslate"><span class="pre">distributional_coverage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.diversity"><code class="docutils literal notranslate"><span class="pre">diversity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.exp_var"><code class="docutils literal notranslate"><span class="pre">exp_var()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.get_top_k_items"><code class="docutils literal notranslate"><span class="pre">get_top_k_items()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.logloss"><code class="docutils literal notranslate"><span class="pre">logloss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.mae"><code class="docutils literal notranslate"><span class="pre">mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.map"><code class="docutils literal notranslate"><span class="pre">map()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.map_at_k"><code class="docutils literal notranslate"><span class="pre">map_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.merge_ranking_true_pred"><code class="docutils literal notranslate"><span class="pre">merge_ranking_true_pred()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.merge_rating_true_pred"><code class="docutils literal notranslate"><span class="pre">merge_rating_true_pred()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ndcg_at_k"><code class="docutils literal notranslate"><span class="pre">ndcg_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.novelty"><code class="docutils literal notranslate"><span class="pre">novelty()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.precision_at_k"><code class="docutils literal notranslate"><span class="pre">precision_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.recall_at_k"><code class="docutils literal notranslate"><span class="pre">recall_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.rmse"><code class="docutils literal notranslate"><span class="pre">rmse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.rsquared"><code class="docutils literal notranslate"><span class="pre">rsquared()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.serendipity"><code class="docutils literal notranslate"><span class="pre">serendipity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_diversity"><code class="docutils literal notranslate"><span class="pre">user_diversity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_item_serendipity"><code class="docutils literal notranslate"><span class="pre">user_item_serendipity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_serendipity"><code class="docutils literal notranslate"><span class="pre">user_serendipity()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.spark_evaluation">PySpark evaluation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.catalog_coverage()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.distributional_coverage()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.diversity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.historical_item_novelty()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.novelty()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.serendipity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_diversity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_item_serendipity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_serendipity()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.map()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.map_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.ndcg_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.precision_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.recall_at_k()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.exp_var()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.mae()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.rmse()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.rsquared()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
 </ul>
             </nav>
         </div>
@@ -388,18 +461,18 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="evaluation-module">
-<span id="evaluation"></span><h1>Evaluation module<a class="headerlink" href="#evaluation-module" title="Permalink to this heading">#</a></h1>
+<span id="evaluation"></span><h1>Evaluation module<a class="headerlink" href="#evaluation-module" title="Link to this heading">#</a></h1>
 <section id="module-recommenders.evaluation.python_evaluation">
-<span id="python-evaluation"></span><h2>Python evaluation<a class="headerlink" href="#module-recommenders.evaluation.python_evaluation" title="Permalink to this heading">#</a></h2>
+<span id="python-evaluation"></span><h2>Python evaluation<a class="headerlink" href="#module-recommenders.evaluation.python_evaluation" title="Link to this heading">#</a></h2>
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ColumnMismatchError">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ColumnMismatchError</span></span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ColumnMismatchError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ColumnMismatchError</span></span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ColumnMismatchError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised when there is a mismatch in columns.</p>
 <p>This exception is raised when an operation involving columns
 encounters a mismatch or inconsistency.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ColumnMismatchError.message">
-<span class="sig-name descname"><span class="pre">message</span></span><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError.message" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">message</span></span><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError.message" title="Link to this definition">#</a></dt>
 <dd><p>Explanation of the error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -412,13 +485,13 @@ <h2> Contents </h2>
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ColumnTypeMismatchError">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ColumnTypeMismatchError</span></span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ColumnTypeMismatchError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ColumnTypeMismatchError</span></span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ColumnTypeMismatchError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised when there is a mismatch in column types.</p>
 <p>This exception is raised when an operation involving column types
 encounters a mismatch or inconsistency.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message">
-<span class="sig-name descname"><span class="pre">message</span></span><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">message</span></span><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message" title="Link to this definition">#</a></dt>
 <dd><p>Explanation of the error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -431,7 +504,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.auc">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">auc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#auc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.auc" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">auc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#auc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.auc" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the Area-Under-Curve metric for implicit feedback typed
 recommender, where rating is binary and prediction is float number ranging
 from 0 to 1.</p>
@@ -465,7 +538,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.catalog_coverage">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">catalog_coverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#catalog_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.catalog_coverage" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">catalog_coverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#catalog_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.catalog_coverage" title="Link to this definition">#</a></dt>
 <dd><p>Calculate catalog coverage for recommendations across all users.
 The metric definition is based on the “catalog coverage” definition in the following reference:</p>
 <dl class="field-list simple">
@@ -495,7 +568,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.distributional_coverage">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">distributional_coverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#distributional_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.distributional_coverage" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">distributional_coverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#distributional_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.distributional_coverage" title="Link to this definition">#</a></dt>
 <dd><p>Calculate distributional coverage for recommendations across all users.
 The metric definition is based on formula (21) in the following reference:</p>
 <dl class="field-list simple">
@@ -525,7 +598,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.diversity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">diversity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.diversity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">diversity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.diversity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average diversity of recommendations across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -556,7 +629,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.exp_var">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">exp_var</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#exp_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.exp_var" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">exp_var</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#exp_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.exp_var" title="Link to this definition">#</a></dt>
 <dd><p>Calculate explained variance.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -580,7 +653,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.get_top_k_items">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">get_top_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataframe</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#get_top_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.get_top_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">get_top_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataframe</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#get_top_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.get_top_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Get the input customer-item-rating tuple in the format of Pandas
 DataFrame, output a Pandas DataFrame in the dense format of top k items
 for each user.</p>
@@ -611,7 +684,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.historical_item_novelty">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">historical_item_novelty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#historical_item_novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.historical_item_novelty" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">historical_item_novelty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#historical_item_novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.historical_item_novelty" title="Link to this definition">#</a></dt>
 <dd><p>Calculate novelty for each item. Novelty is computed as the minus logarithm of
 (number of interactions with item / total number of interactions). The definition of the metric
 is based on the following reference using the choice model (eqs. 1 and 6):</p>
@@ -649,7 +722,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.logloss">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">logloss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#logloss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.logloss" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">logloss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#logloss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.logloss" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the logloss metric for implicit feedback typed
 recommender, where rating is binary and prediction is float number ranging
 from 0 to 1.</p>
@@ -676,7 +749,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.mae">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#mae"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.mae" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#mae"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.mae" title="Link to this definition">#</a></dt>
 <dd><p>Calculate Mean Absolute Error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -700,7 +773,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.map">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.map" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.map" title="Link to this definition">#</a></dt>
 <dd><p>Mean Average Precision for top k prediction items</p>
 <p>The implementation of MAP is referenced from Spark MLlib evaluation metrics.
 <a class="reference external" href="https://spark.apache.org/docs/2.3.0/mllib-evaluation-metrics.html#ranking-systems">https://spark.apache.org/docs/2.3.0/mllib-evaluation-metrics.html#ranking-systems</a></p>
@@ -736,7 +809,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.map_at_k">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">map_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#map_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.map_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">map_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#map_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.map_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Mean Average Precision at k</p>
 <p>The implementation of MAP&#64;k is referenced from Spark MLlib evaluation metrics.
 <a class="github reference external" href="https://github.com/apache/spark/blob/b938ff9f520fd4e4997938284ffa0aba9ea271fc/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala#L99">apache/spark</a></p>
@@ -765,7 +838,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.merge_ranking_true_pred">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">merge_ranking_true_pred</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#merge_ranking_true_pred"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.merge_ranking_true_pred" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">merge_ranking_true_pred</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#merge_ranking_true_pred"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.merge_ranking_true_pred" title="Link to this definition">#</a></dt>
 <dd><p>Filter truth and prediction data frames on common users</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -793,7 +866,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.merge_rating_true_pred">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">merge_rating_true_pred</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#merge_rating_true_pred"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.merge_rating_true_pred" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">merge_rating_true_pred</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#merge_rating_true_pred"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.merge_rating_true_pred" title="Link to this definition">#</a></dt>
 <dd><p>Join truth and prediction data frames on userID and itemID and return the true
 and predicted rated with the correct index.</p>
 <dl class="field-list simple">
@@ -819,7 +892,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.ndcg_at_k">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ndcg_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'binary'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">discfun_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'loge'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ndcg_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ndcg_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">ndcg_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'binary'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">discfun_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'loge'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#ndcg_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.ndcg_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Normalized Discounted Cumulative Gain (nDCG).</p>
 <p>Info: <a class="reference external" href="https://en.wikipedia.org/wiki/Discounted_cumulative_gain">https://en.wikipedia.org/wiki/Discounted_cumulative_gain</a></p>
 <dl class="field-list simple">
@@ -852,7 +925,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.novelty">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">novelty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.novelty" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">novelty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.novelty" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the average novelty in a list of recommended items (this assumes that the recommendation list
 is already computed). Follows section 5 from</p>
 <dl class="field-list simple">
@@ -882,7 +955,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.precision_at_k">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">precision_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#precision_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.precision_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">precision_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#precision_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.precision_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Precision at K.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -917,7 +990,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.recall_at_k">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">recall_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#recall_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.recall_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">recall_at_k</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">_</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#recall_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.recall_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Recall at K.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -945,7 +1018,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.rmse">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#rmse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.rmse" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#rmse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.rmse" title="Link to this definition">#</a></dt>
 <dd><p>Calculate Root Mean Squared Error</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -969,7 +1042,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.rsquared">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">rsquared</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#rsquared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.rsquared" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">rsquared</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#rsquared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.rsquared" title="Link to this definition">#</a></dt>
 <dd><p>Calculate R squared</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -993,7 +1066,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.serendipity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average serendipity for recommendations across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1025,7 +1098,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.user_diversity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_diversity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_diversity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_diversity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_diversity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average diversity of recommendations for each user.
 The metric definition is based on formula (3) in the following reference:</p>
 <dl class="field-list simple">
@@ -1061,7 +1134,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.user_item_serendipity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_item_serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_item_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_item_serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_item_serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_item_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_item_serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate serendipity of each item in the recommendations for each user.
 The metric definition is based on the following references:</p>
 <dl class="field-list simple">
@@ -1102,7 +1175,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.evaluation.python_evaluation.user_serendipity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.python_evaluation.</span></span><span class="sig-name descname"><span class="pre">user_serendipity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'features'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_sim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/python_evaluation.html#user_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.python_evaluation.user_serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average serendipity for each user’s recommendations.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1134,14 +1207,14 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.evaluation.spark_evaluation">
-<span id="pyspark-evaluation"></span><h2>PySpark evaluation<a class="headerlink" href="#module-recommenders.evaluation.spark_evaluation" title="Permalink to this heading">#</a></h2>
+<span id="pyspark-evaluation"></span><h2>PySpark evaluation<a class="headerlink" href="#module-recommenders.evaluation.spark_evaluation" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkDiversityEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkDiversityEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation" title="Link to this definition">#</a></dt>
 <dd><p>Spark Evaluator for diversity, coverage, novelty, serendipity</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reco_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feature_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_sim_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'item_cooccurrence_count'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_relevance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializer.</p>
 <p>This is the Spark version of diversity metrics evaluator.
 The methods of this class calculate the following diversity metrics:</p>
@@ -1197,7 +1270,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage">
-<span class="sig-name descname"><span class="pre">catalog_coverage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.catalog_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">catalog_coverage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.catalog_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage" title="Link to this definition">#</a></dt>
 <dd><p>Calculate catalog coverage for recommendations across all users.
 The metric definition is based on the “catalog coverage” definition in the following reference:</p>
 <dl class="field-list simple">
@@ -1216,7 +1289,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage">
-<span class="sig-name descname"><span class="pre">distributional_coverage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.distributional_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">distributional_coverage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.distributional_coverage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage" title="Link to this definition">#</a></dt>
 <dd><p>Calculate distributional coverage for recommendations across all users.
 The metric definition is based on formula (21) in the following reference:</p>
 <dl class="field-list simple">
@@ -1235,7 +1308,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity">
-<span class="sig-name descname"><span class="pre">diversity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">diversity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average diversity of recommendations across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1249,7 +1322,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty">
-<span class="sig-name descname"><span class="pre">historical_item_novelty</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.historical_item_novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">historical_item_novelty</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.historical_item_novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty" title="Link to this definition">#</a></dt>
 <dd><p>Calculate novelty for each item. Novelty is computed as the minus logarithm of
 (number of interactions with item / total number of interactions). The definition of the metric
 is based on the following reference using the choice model (eqs. 1 and 6):</p>
@@ -1276,7 +1349,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty">
-<span class="sig-name descname"><span class="pre">novelty</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">novelty</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.novelty"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the average novelty in a list of recommended items (this assumes that the recommendation list
 is already computed). Follows section 5 from</p>
 <dl class="field-list simple">
@@ -1295,7 +1368,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity">
-<span class="sig-name descname"><span class="pre">serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average serendipity for recommendations across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1309,7 +1382,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity">
-<span class="sig-name descname"><span class="pre">user_diversity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_diversity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_diversity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average diversity of recommendations for each user.
 The metric definition is based on formula (3) in the following reference:</p>
 <dl class="field-list simple">
@@ -1328,7 +1401,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity">
-<span class="sig-name descname"><span class="pre">user_item_serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_item_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_item_serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_item_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate serendipity of each item in the recommendations for each user.
 The metric definition is based on the following references:</p>
 <dl class="field-list">
@@ -1349,7 +1422,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity">
-<span class="sig-name descname"><span class="pre">user_serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_serendipity</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkDiversityEvaluation.user_serendipity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity" title="Link to this definition">#</a></dt>
 <dd><p>Calculate average serendipity for each user’s recommendations.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1365,11 +1438,11 @@ <h2> Contents </h2>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkRankingEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkRankingEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation" title="Link to this definition">#</a></dt>
 <dd><p>Spark Ranking Evaluator</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relevancy_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'top_k'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization.
 This is the Spark version of ranking metrics evaluator.
 The methods of this class, calculate ranking metrics such as precision&#64;k, recall&#64;k, ndcg&#64;k, and mean average
@@ -1401,7 +1474,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map">
-<span class="sig-name descname"><span class="pre">map</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">map</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map" title="Link to this definition">#</a></dt>
 <dd><p>Get mean average precision.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1415,7 +1488,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k">
-<span class="sig-name descname"><span class="pre">map_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.map_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">map_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.map_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Get mean average precision at k.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1433,7 +1506,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k">
-<span class="sig-name descname"><span class="pre">ndcg_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.ndcg_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ndcg_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.ndcg_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Get Normalized Discounted Cumulative Gain (NDCG)</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1452,7 +1525,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k">
-<span class="sig-name descname"><span class="pre">precision_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.precision_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">precision_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.precision_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Get precision&#64;k.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1471,7 +1544,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k">
-<span class="sig-name descname"><span class="pre">recall_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.recall_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recall_at_k</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRankingEvaluation.recall_at_k"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k" title="Link to this definition">#</a></dt>
 <dd><p>Get recall&#64;K.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1492,11 +1565,11 @@ <h2> Contents </h2>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkRatingEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.evaluation.spark_evaluation.</span></span><span class="sig-name descname"><span class="pre">SparkRatingEvaluation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation" title="Link to this definition">#</a></dt>
 <dd><p>Spark Rating Evaluator</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rating_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializer.</p>
 <p>This is the Spark version of rating metrics evaluator.
 The methods of this class, calculate rating metrics such as root mean squared error, mean absolute error,
@@ -1517,7 +1590,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var">
-<span class="sig-name descname"><span class="pre">exp_var</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.exp_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">exp_var</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.exp_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var" title="Link to this definition">#</a></dt>
 <dd><p>Calculate explained variance.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1535,7 +1608,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae">
-<span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.mae"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.mae"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae" title="Link to this definition">#</a></dt>
 <dd><p>Calculate Mean Absolute Error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1549,7 +1622,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse">
-<span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.rmse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.rmse"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse" title="Link to this definition">#</a></dt>
 <dd><p>Calculate Root Mean Squared Error.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1563,7 +1636,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared">
-<span class="sig-name descname"><span class="pre">rsquared</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.rsquared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">rsquared</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/evaluation/spark_evaluation.html#SparkRatingEvaluation.rsquared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared" title="Link to this definition">#</a></dt>
 <dd><p>Calculate R squared.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1644,8 +1717,73 @@ <h2> Contents </h2>
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.python_evaluation">Python evaluation</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.spark_evaluation">PySpark evaluation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.python_evaluation">Python evaluation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError"><code class="docutils literal notranslate"><span class="pre">ColumnMismatchError</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnMismatchError.message"><code class="docutils literal notranslate"><span class="pre">ColumnMismatchError.message</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError"><code class="docutils literal notranslate"><span class="pre">ColumnTypeMismatchError</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ColumnTypeMismatchError.message"><code class="docutils literal notranslate"><span class="pre">ColumnTypeMismatchError.message</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.auc"><code class="docutils literal notranslate"><span class="pre">auc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.catalog_coverage"><code class="docutils literal notranslate"><span class="pre">catalog_coverage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.distributional_coverage"><code class="docutils literal notranslate"><span class="pre">distributional_coverage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.diversity"><code class="docutils literal notranslate"><span class="pre">diversity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.exp_var"><code class="docutils literal notranslate"><span class="pre">exp_var()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.get_top_k_items"><code class="docutils literal notranslate"><span class="pre">get_top_k_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.historical_item_novelty"><code class="docutils literal notranslate"><span class="pre">historical_item_novelty()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.logloss"><code class="docutils literal notranslate"><span class="pre">logloss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.mae"><code class="docutils literal notranslate"><span class="pre">mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.map"><code class="docutils literal notranslate"><span class="pre">map()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.map_at_k"><code class="docutils literal notranslate"><span class="pre">map_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.merge_ranking_true_pred"><code class="docutils literal notranslate"><span class="pre">merge_ranking_true_pred()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.merge_rating_true_pred"><code class="docutils literal notranslate"><span class="pre">merge_rating_true_pred()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.ndcg_at_k"><code class="docutils literal notranslate"><span class="pre">ndcg_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.novelty"><code class="docutils literal notranslate"><span class="pre">novelty()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.precision_at_k"><code class="docutils literal notranslate"><span class="pre">precision_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.recall_at_k"><code class="docutils literal notranslate"><span class="pre">recall_at_k()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.rmse"><code class="docutils literal notranslate"><span class="pre">rmse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.rsquared"><code class="docutils literal notranslate"><span class="pre">rsquared()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.serendipity"><code class="docutils literal notranslate"><span class="pre">serendipity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_diversity"><code class="docutils literal notranslate"><span class="pre">user_diversity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_item_serendipity"><code class="docutils literal notranslate"><span class="pre">user_item_serendipity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.python_evaluation.user_serendipity"><code class="docutils literal notranslate"><span class="pre">user_serendipity()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.evaluation.spark_evaluation">PySpark evaluation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.catalog_coverage"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.catalog_coverage()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.distributional_coverage"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.distributional_coverage()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.diversity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.diversity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.historical_item_novelty"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.historical_item_novelty()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.novelty"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.novelty()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.serendipity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_diversity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_diversity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_item_serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_item_serendipity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation.user_serendipity"><code class="docutils literal notranslate"><span class="pre">SparkDiversityEvaluation.user_serendipity()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.map()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.map_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.map_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.ndcg_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.ndcg_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.precision_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.precision_at_k()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRankingEvaluation.recall_at_k"><code class="docutils literal notranslate"><span class="pre">SparkRankingEvaluation.recall_at_k()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.__init__"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.exp_var"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.exp_var()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.mae"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.mae()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rmse"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.rmse()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.evaluation.spark_evaluation.SparkRatingEvaluation.rsquared"><code class="docutils literal notranslate"><span class="pre">SparkRatingEvaluation.rsquared()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
 </ul>
   </nav></div>
 
@@ -1670,7 +1808,7 @@ <h2> Contents </h2>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
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@@ -1694,8 +1832,8 @@ <h2> Contents </h2>
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index f3613276a..88969b2b4 100644
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@@ -1,9 +1,8 @@
 
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@@ -80,7 +83,6 @@
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-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
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@@ -2527,7 +2537,7 @@ <h2 id="X">X</h2>
 
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+      © Copyright 2023.
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@@ -2551,8 +2561,8 @@ <h2 id="X">X</h2>
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index 29a2258b3..73f7046e8 100644
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@@ -1,13 +1,12 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     <title>Welcome to Recommenders &#8212; Recommenders documentation</title>
   
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-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    </header>
   
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 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
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 <section class="tex2jax_ignore mathjax_ignore" id="welcome-to-recommenders">
-<h1>Welcome to Recommenders<a class="headerlink" href="#welcome-to-recommenders" title="Permalink to this heading">#</a></h1>
+<h1>Welcome to Recommenders<a class="headerlink" href="#welcome-to-recommenders" title="Link to this heading">#</a></h1>
 <p>Recommenders objective is to assist researchers, developers and enthusiasts in prototyping, experimenting with and bringing to production a range of classic and state-of-the-art recommendation systems.</p>
 <aside class="margin sidebar">
 <p class="sidebar-title"></p>
@@ -473,7 +483,7 @@ <h1>Welcome to Recommenders<a class="headerlink" href="#welcome-to-recommenders"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -497,8 +507,8 @@ <h1>Welcome to Recommenders<a class="headerlink" href="#welcome-to-recommenders"
   </div>
   
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diff --git a/models.html b/models.html
index 71f2daa80..ea2bcaa21 100644
--- a/models.html
+++ b/models.html
@@ -1,13 +1,12 @@
 
-
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-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
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+ document.write(`
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+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="current nav bd-sidenav">
@@ -376,50 +384,623 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.cornac.cornac_utils">Cornac utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.cornac.cornac_utils">Cornac utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.cornac.cornac_utils.predict"><code class="docutils literal notranslate"><span class="pre">predict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.cornac.cornac_utils.predict_ranking"><code class="docutils literal notranslate"><span class="pre">predict_ranking()</span></code></a></li>
+</ul>
+</li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#deeprec-utilities">DeepRec utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.base_model">Base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model">Sequential base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.io.iterator">Iterators</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF">Data processing utilities</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.deeprec_utils">Utilities</a></li>
-</ul>
-</li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn">DKN</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn_item2item">DKN item-to-item</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.xDeepFM">xDeepFM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn">LightGCN</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.asvd">A2SVD</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.caser">Caser</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.gru">GRU</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.nextitnet">NextItNet</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">RNN Cells</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sum">SUM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sli_rec">SLIRec</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.fastai.fastai_utils">FastAI utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightfm.lightfm_utils">LightFM utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightgbm.lightgbm_utils">LightGBM utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.ncf.dataset">NCF</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.base_model">Base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel"><code class="docutils literal notranslate"><span class="pre">BaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">BaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.fit"><code class="docutils literal notranslate"><span class="pre">BaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.group_labels"><code class="docutils literal notranslate"><span class="pre">BaseModel.group_labels()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.infer"><code class="docutils literal notranslate"><span class="pre">BaseModel.infer()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.load_model"><code class="docutils literal notranslate"><span class="pre">BaseModel.load_model()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.predict"><code class="docutils literal notranslate"><span class="pre">BaseModel.predict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.run_eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.train"><code class="docutils literal notranslate"><span class="pre">BaseModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model">Sequential base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.predict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.run_eval()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.io.iterator">Iterators</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator"><code class="docutils literal notranslate"><span class="pre">BaseIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">BaseIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">BaseIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">BaseIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.gen_infer_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.load_infer_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator.load_data_from_file()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator"><code class="docutils literal notranslate"><span class="pre">NextItNetIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__"><code class="docutils literal notranslate"><span class="pre">NextItNetIterator.__init__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator"><code class="docutils literal notranslate"><span class="pre">SequentialIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.parse_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF">Data processing utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF"><code class="docutils literal notranslate"><span class="pre">ImplicitCF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.create_norm_adj_mat()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.get_norm_adj_mat()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.train_loader()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.deeprec_utils">Utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams"><code class="docutils literal notranslate"><span class="pre">HParams</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.__init__"><code class="docutils literal notranslate"><span class="pre">HParams.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.__repr__"><code class="docutils literal notranslate"><span class="pre">HParams.__repr__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.values"><code class="docutils literal notranslate"><span class="pre">HParams.values()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.cal_metric"><code class="docutils literal notranslate"><span class="pre">cal_metric()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.check_nn_config"><code class="docutils literal notranslate"><span class="pre">check_nn_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.check_type"><code class="docutils literal notranslate"><span class="pre">check_type()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.create_hparams"><code class="docutils literal notranslate"><span class="pre">create_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.dcg_score"><code class="docutils literal notranslate"><span class="pre">dcg_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources"><code class="docutils literal notranslate"><span class="pre">download_deeprec_resources()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.flat_config"><code class="docutils literal notranslate"><span class="pre">flat_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.hit_score"><code class="docutils literal notranslate"><span class="pre">hit_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.load_dict"><code class="docutils literal notranslate"><span class="pre">load_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.load_yaml"><code class="docutils literal notranslate"><span class="pre">load_yaml()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.mrr_score"><code class="docutils literal notranslate"><span class="pre">mrr_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.ndcg_score"><code class="docutils literal notranslate"><span class="pre">ndcg_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.prepare_hparams"><code class="docutils literal notranslate"><span class="pre">prepare_hparams()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn">DKN</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN"><code class="docutils literal notranslate"><span class="pre">DKN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.__init__"><code class="docutils literal notranslate"><span class="pre">DKN.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.infer_embedding"><code class="docutils literal notranslate"><span class="pre">DKN.infer_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding"><code class="docutils literal notranslate"><span class="pre">DKN.run_get_embedding()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn_item2item">DKN item-to-item</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item.eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item.run_eval()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.xDeepFM">xDeepFM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel"><code class="docutils literal notranslate"><span class="pre">XDeepFMModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn">LightGCN</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN"><code class="docutils literal notranslate"><span class="pre">LightGCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__"><code class="docutils literal notranslate"><span class="pre">LightGCN.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit"><code class="docutils literal notranslate"><span class="pre">LightGCN.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding"><code class="docutils literal notranslate"><span class="pre">LightGCN.infer_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load"><code class="docutils literal notranslate"><span class="pre">LightGCN.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">LightGCN.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval"><code class="docutils literal notranslate"><span class="pre">LightGCN.run_eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score"><code class="docutils literal notranslate"><span class="pre">LightGCN.score()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.asvd">A2SVD</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel"><code class="docutils literal notranslate"><span class="pre">A2SVDModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.caser">Caser</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel"><code class="docutils literal notranslate"><span class="pre">CaserModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__"><code class="docutils literal notranslate"><span class="pre">CaserModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.gru">GRU</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.gru.GRUModel"><code class="docutils literal notranslate"><span class="pre">GRUModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.nextitnet">NextItNet</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel"><code class="docutils literal notranslate"><span class="pre">NextItNetModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">RNN Cells</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.state_size</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.state_size</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sum">SUM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum.SUMModel"><code class="docutils literal notranslate"><span class="pre">SUMModel</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell"><code class="docutils literal notranslate"><span class="pre">SUMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build"><code class="docutils literal notranslate"><span class="pre">SUMCell.build()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call"><code class="docutils literal notranslate"><span class="pre">SUMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config"><code class="docutils literal notranslate"><span class="pre">SUMCell.get_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size"><code class="docutils literal notranslate"><span class="pre">SUMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size"><code class="docutils literal notranslate"><span class="pre">SUMCell.state_size</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell.build()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell.call()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sli_rec">SLIRec</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel"><code class="docutils literal notranslate"><span class="pre">SLI_RECModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.fastai.fastai_utils">FastAI utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.cartesian_product"><code class="docutils literal notranslate"><span class="pre">cartesian_product()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar"><code class="docutils literal notranslate"><span class="pre">hide_fastai_progress_bar()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.score"><code class="docutils literal notranslate"><span class="pre">score()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightfm.lightfm_utils">LightFM utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.compare_metric"><code class="docutils literal notranslate"><span class="pre">compare_metric()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.model_perf_plots"><code class="docutils literal notranslate"><span class="pre">model_perf_plots()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions"><code class="docutils literal notranslate"><span class="pre">prepare_all_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.prepare_test_df"><code class="docutils literal notranslate"><span class="pre">prepare_test_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.similar_items"><code class="docutils literal notranslate"><span class="pre">similar_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.similar_users"><code class="docutils literal notranslate"><span class="pre">similar_users()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.track_model_metrics"><code class="docutils literal notranslate"><span class="pre">track_model_metrics()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightgbm.lightgbm_utils">LightGBM utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder"><code class="docutils literal notranslate"><span class="pre">NumEncoder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform"><code class="docutils literal notranslate"><span class="pre">NumEncoder.fit_transform()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform"><code class="docutils literal notranslate"><span class="pre">NumEncoder.transform()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.unpackbits"><code class="docutils literal notranslate"><span class="pre">unpackbits()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.ncf.dataset">NCF</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile"><code class="docutils literal notranslate"><span class="pre">DataFile</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile.__init__"><code class="docutils literal notranslate"><span class="pre">DataFile.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile.load_data"><code class="docutils literal notranslate"><span class="pre">DataFile.load_data()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset"><code class="docutils literal notranslate"><span class="pre">Dataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.__init__"><code class="docutils literal notranslate"><span class="pre">Dataset.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.test_loader"><code class="docutils literal notranslate"><span class="pre">Dataset.test_loader()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.train_loader"><code class="docutils literal notranslate"><span class="pre">Dataset.train_loader()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.EmptyFileException"><code class="docutils literal notranslate"><span class="pre">EmptyFileException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.FileNotSortedException"><code class="docutils literal notranslate"><span class="pre">FileNotSortedException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.MissingFieldsException"><code class="docutils literal notranslate"><span class="pre">MissingFieldsException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.MissingUserException"><code class="docutils literal notranslate"><span class="pre">MissingUserException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler"><code class="docutils literal notranslate"><span class="pre">NegativeSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler.__init__"><code class="docutils literal notranslate"><span class="pre">NegativeSampler.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler.sample"><code class="docutils literal notranslate"><span class="pre">NegativeSampler.sample()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF"><code class="docutils literal notranslate"><span class="pre">NCF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.__init__"><code class="docutils literal notranslate"><span class="pre">NCF.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.fit"><code class="docutils literal notranslate"><span class="pre">NCF.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.load"><code class="docutils literal notranslate"><span class="pre">NCF.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.predict"><code class="docutils literal notranslate"><span class="pre">NCF.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.save"><code class="docutils literal notranslate"><span class="pre">NCF.save()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#newsrec-utilities">NewsRec utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Iterators</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Utilities</a></li>
-</ul>
-</li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.lstur">LSTUR</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.naml">NAML</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.npa">NPA</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.nrms">NRMS</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.rbm.rbm">RBM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sar.sar_singlenode">SAR</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.model">SASRec</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.ssept">SSE-PT</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.surprise.surprise_utils">Surprise utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.tfidf.tfidf_utils">TF-IDF utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.standard_vae">Standard VAE</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.multinomial_vae">Multinomial VAE</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vowpal_wabbit.vw">Vowpal Wabbit utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.wide_deep.wide_deep_utils">Wide &amp; Deep</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel"><code class="docutils literal notranslate"><span class="pre">BaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.hparams"><code class="docutils literal notranslate"><span class="pre">BaseModel.hparams</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.train_iterator"><code class="docutils literal notranslate"><span class="pre">BaseModel.train_iterator</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.test_iterator"><code class="docutils literal notranslate"><span class="pre">BaseModel.test_iterator</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.graph"><code class="docutils literal notranslate"><span class="pre">BaseModel.graph</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.seed"><code class="docutils literal notranslate"><span class="pre">BaseModel.seed</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">BaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.fit"><code class="docutils literal notranslate"><span class="pre">BaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.group_labels"><code class="docutils literal notranslate"><span class="pre">BaseModel.group_labels()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.run_eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.train"><code class="docutils literal notranslate"><span class="pre">BaseModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Iterators</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator"><code class="docutils literal notranslate"><span class="pre">MINDIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter"><code class="docutils literal notranslate"><span class="pre">MINDIterator.col_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter"><code class="docutils literal notranslate"><span class="pre">MINDIterator.ID_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.batch_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.title_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.his_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio"><code class="docutils literal notranslate"><span class="pre">MINDIterator.npratio</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__"><code class="docutils literal notranslate"><span class="pre">MINDIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors"><code class="docutils literal notranslate"><span class="pre">MINDIterator.init_behaviors()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news"><code class="docutils literal notranslate"><span class="pre">MINDIterator.init_news()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_impression_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_news_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_user_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">MINDIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.col_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.ID_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.batch_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.title_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.body_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.his_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.npratio</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.init_behaviors()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.init_news()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_impression_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_news_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_user_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2"><code class="docutils literal notranslate"><span class="pre">AttLayer2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.dim"><code class="docutils literal notranslate"><span class="pre">AttLayer2.dim</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.__init__"><code class="docutils literal notranslate"><span class="pre">AttLayer2.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.build"><code class="docutils literal notranslate"><span class="pre">AttLayer2.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.call"><code class="docutils literal notranslate"><span class="pre">AttLayer2.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask"><code class="docutils literal notranslate"><span class="pre">AttLayer2.compute_mask()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">AttLayer2.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking"><code class="docutils literal notranslate"><span class="pre">ComputeMasking</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking.call"><code class="docutils literal notranslate"><span class="pre">ComputeMasking.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">ComputeMasking.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.build"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.call"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling"><code class="docutils literal notranslate"><span class="pre">PersonalizedAttentivePooling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim1"><code class="docutils literal notranslate"><span class="pre">dim1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim2"><code class="docutils literal notranslate"><span class="pre">dim2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim3"><code class="docutils literal notranslate"><span class="pre">dim3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention"><code class="docutils literal notranslate"><span class="pre">SelfAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.Mask"><code class="docutils literal notranslate"><span class="pre">SelfAttention.Mask()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.__init__"><code class="docutils literal notranslate"><span class="pre">SelfAttention.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.build"><code class="docutils literal notranslate"><span class="pre">SelfAttention.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.call"><code class="docutils literal notranslate"><span class="pre">SelfAttention.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">SelfAttention.compute_output_shape()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.get_config"><code class="docutils literal notranslate"><span class="pre">SelfAttention.get_config()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.check_nn_config"><code class="docutils literal notranslate"><span class="pre">check_nn_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.check_type"><code class="docutils literal notranslate"><span class="pre">check_type()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.create_hparams"><code class="docutils literal notranslate"><span class="pre">create_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.get_mind_data_set"><code class="docutils literal notranslate"><span class="pre">get_mind_data_set()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.newsample"><code class="docutils literal notranslate"><span class="pre">newsample()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.prepare_hparams"><code class="docutils literal notranslate"><span class="pre">prepare_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.word_tokenize"><code class="docutils literal notranslate"><span class="pre">word_tokenize()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.lstur">LSTUR</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel"><code class="docutils literal notranslate"><span class="pre">LSTURModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">LSTURModel.word2vec_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel.hparam"><code class="docutils literal notranslate"><span class="pre">LSTURModel.hparam</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel.__init__"><code class="docutils literal notranslate"><span class="pre">LSTURModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.naml">NAML</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel"><code class="docutils literal notranslate"><span class="pre">NAMLModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NAMLModel.word2vec_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.hparam"><code class="docutils literal notranslate"><span class="pre">NAMLModel.hparam</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.__init__"><code class="docutils literal notranslate"><span class="pre">NAMLModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.npa">NPA</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel"><code class="docutils literal notranslate"><span class="pre">NPAModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NPAModel.word2vec_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.hparam"><code class="docutils literal notranslate"><span class="pre">NPAModel.hparam</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.__init__"><code class="docutils literal notranslate"><span class="pre">NPAModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.nrms">NRMS</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel"><code class="docutils literal notranslate"><span class="pre">NRMSModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NRMSModel.word2vec_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel.hparam"><code class="docutils literal notranslate"><span class="pre">NRMSModel.hparam</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel.__init__"><code class="docutils literal notranslate"><span class="pre">NRMSModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.rbm.rbm">RBM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM"><code class="docutils literal notranslate"><span class="pre">RBM</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.__init__"><code class="docutils literal notranslate"><span class="pre">RBM.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.batch_training"><code class="docutils literal notranslate"><span class="pre">RBM.batch_training()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.binomial_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.binomial_sampling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.data_pipeline"><code class="docutils literal notranslate"><span class="pre">RBM.data_pipeline()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.eval_out"><code class="docutils literal notranslate"><span class="pre">RBM.eval_out()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.fit"><code class="docutils literal notranslate"><span class="pre">RBM.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.free_energy"><code class="docutils literal notranslate"><span class="pre">RBM.free_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.generate_graph"><code class="docutils literal notranslate"><span class="pre">RBM.generate_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.gibbs_protocol"><code class="docutils literal notranslate"><span class="pre">RBM.gibbs_protocol()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.gibbs_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.gibbs_sampling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_gpu"><code class="docutils literal notranslate"><span class="pre">RBM.init_gpu()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_metrics"><code class="docutils literal notranslate"><span class="pre">RBM.init_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_parameters"><code class="docutils literal notranslate"><span class="pre">RBM.init_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_training_session"><code class="docutils literal notranslate"><span class="pre">RBM.init_training_session()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.load"><code class="docutils literal notranslate"><span class="pre">RBM.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.losses"><code class="docutils literal notranslate"><span class="pre">RBM.losses()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.multinomial_distribution"><code class="docutils literal notranslate"><span class="pre">RBM.multinomial_distribution()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.multinomial_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.multinomial_sampling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.placeholder"><code class="docutils literal notranslate"><span class="pre">RBM.placeholder()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.predict"><code class="docutils literal notranslate"><span class="pre">RBM.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">RBM.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.sample_hidden_units"><code class="docutils literal notranslate"><span class="pre">RBM.sample_hidden_units()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.sample_visible_units"><code class="docutils literal notranslate"><span class="pre">RBM.sample_visible_units()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.save"><code class="docutils literal notranslate"><span class="pre">RBM.save()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sar.sar_singlenode">SAR</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode"><code class="docutils literal notranslate"><span class="pre">SARSingleNode</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_affinity_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_cooccurrence_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_time_decay()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.fit"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_item_based_topk()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_popularity_based_topk()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_topk_most_similar_users()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.predict"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.score"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.set_index()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.model">SASRec</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder"><code class="docutils literal notranslate"><span class="pre">Encoder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder.__init__"><code class="docutils literal notranslate"><span class="pre">Encoder.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder.call"><code class="docutils literal notranslate"><span class="pre">Encoder.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer"><code class="docutils literal notranslate"><span class="pre">EncoderLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.__init__"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.call"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.call_"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.call_()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization"><code class="docutils literal notranslate"><span class="pre">LayerNormalization</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization.__init__"><code class="docutils literal notranslate"><span class="pre">LayerNormalization.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization.call"><code class="docutils literal notranslate"><span class="pre">LayerNormalization.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention.__init__"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention.call"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward.__init__"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward.call"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC"><code class="docutils literal notranslate"><span class="pre">SASREC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.__init__"><code class="docutils literal notranslate"><span class="pre">SASREC.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.call"><code class="docutils literal notranslate"><span class="pre">SASREC.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.create_combined_dataset"><code class="docutils literal notranslate"><span class="pre">SASREC.create_combined_dataset()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.embedding"><code class="docutils literal notranslate"><span class="pre">SASREC.embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.evaluate"><code class="docutils literal notranslate"><span class="pre">SASREC.evaluate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.evaluate_valid"><code class="docutils literal notranslate"><span class="pre">SASREC.evaluate_valid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.loss_function"><code class="docutils literal notranslate"><span class="pre">SASREC.loss_function()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.predict"><code class="docutils literal notranslate"><span class="pre">SASREC.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.train"><code class="docutils literal notranslate"><span class="pre">SASREC.train()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler"><code class="docutils literal notranslate"><span class="pre">WarpSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.User"><code class="docutils literal notranslate"><span class="pre">WarpSampler.User</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.usernum"><code class="docutils literal notranslate"><span class="pre">WarpSampler.usernum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.itemnum"><code class="docutils literal notranslate"><span class="pre">WarpSampler.itemnum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.batch_size"><code class="docutils literal notranslate"><span class="pre">WarpSampler.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.maxlen"><code class="docutils literal notranslate"><span class="pre">WarpSampler.maxlen</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.n_workers"><code class="docutils literal notranslate"><span class="pre">WarpSampler.n_workers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.__init__"><code class="docutils literal notranslate"><span class="pre">WarpSampler.__init__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.sample_function"><code class="docutils literal notranslate"><span class="pre">sample_function()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.usernum"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.usernum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.itemnum"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.itemnum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.User"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.User</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.Items"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.Items</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_train"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_train</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_valid"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_valid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_test"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_test</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.col_sep"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.col_sep</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.filename"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.filename</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.ssept">SSE-PT</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT"><code class="docutils literal notranslate"><span class="pre">SSEPT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.__init__"><code class="docutils literal notranslate"><span class="pre">SSEPT.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.call"><code class="docutils literal notranslate"><span class="pre">SSEPT.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.loss_function"><code class="docutils literal notranslate"><span class="pre">SSEPT.loss_function()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.predict"><code class="docutils literal notranslate"><span class="pre">SSEPT.predict()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.surprise.surprise_utils">Surprise utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.compute_ranking_predictions"><code class="docutils literal notranslate"><span class="pre">compute_ranking_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.predict"><code class="docutils literal notranslate"><span class="pre">predict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df"><code class="docutils literal notranslate"><span class="pre">surprise_trainset_to_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.tfidf.tfidf_utils">TF-IDF utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.clean_dataframe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_stop_words()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_tokens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_top_k_recommendations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.recommend_top_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.tokenize_text()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.standard_vae">Standard VAE</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.__init__"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.get_data"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_batch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory"><code class="docutils literal notranslate"><span class="pre">LossHistory</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory.on_train_begin"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics"><code class="docutils literal notranslate"><span class="pre">Metrics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.__init__"><code class="docutils literal notranslate"><span class="pre">Metrics.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.get_data"><code class="docutils literal notranslate"><span class="pre">Metrics.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">Metrics.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.on_train_begin"><code class="docutils literal notranslate"><span class="pre">Metrics.on_train_begin()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Metrics.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE"><code class="docutils literal notranslate"><span class="pre">StandardVAE</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.__init__"><code class="docutils literal notranslate"><span class="pre">StandardVAE.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.display_metrics"><code class="docutils literal notranslate"><span class="pre">StandardVAE.display_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.fit"><code class="docutils literal notranslate"><span class="pre">StandardVAE.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta"><code class="docutils literal notranslate"><span class="pre">StandardVAE.get_optimal_beta()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch"><code class="docutils literal notranslate"><span class="pre">StandardVAE.ndcg_per_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator"><code class="docutils literal notranslate"><span class="pre">StandardVAE.nn_batch_generator()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">StandardVAE.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.multinomial_vae">Multinomial VAE</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_batch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory"><code class="docutils literal notranslate"><span class="pre">LossHistory</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics"><code class="docutils literal notranslate"><span class="pre">Metrics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.__init__"><code class="docutils literal notranslate"><span class="pre">Metrics.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.get_data"><code class="docutils literal notranslate"><span class="pre">Metrics.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">Metrics.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin"><code class="docutils literal notranslate"><span class="pre">Metrics.on_train_begin()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Metrics.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE"><code class="docutils literal notranslate"><span class="pre">Mult_VAE</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.display_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.fit"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.get_optimal_beta()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.ndcg_per_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.nn_batch_generator()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vowpal_wabbit.vw">Vowpal Wabbit utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW"><code class="docutils literal notranslate"><span class="pre">VW</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.fit"><code class="docutils literal notranslate"><span class="pre">VW.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params"><code class="docutils literal notranslate"><span class="pre">VW.parse_test_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params"><code class="docutils literal notranslate"><span class="pre">VW.parse_train_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.predict"><code class="docutils literal notranslate"><span class="pre">VW.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd"><code class="docutils literal notranslate"><span class="pre">VW.to_vw_cmd()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file"><code class="docutils literal notranslate"><span class="pre">VW.to_vw_file()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.wide_deep.wide_deep_utils">Wide &amp; Deep</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns"><code class="docutils literal notranslate"><span class="pre">build_feature_columns()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.wide_deep.wide_deep_utils.build_model"><code class="docutils literal notranslate"><span class="pre">build_model()</span></code></a></li>
+</ul>
+</li>
 </ul>
             </nav>
         </div>
@@ -432,13 +1013,13 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="recommender-algorithms-module">
-<span id="recommender"></span><h1>Recommender algorithms module<a class="headerlink" href="#recommender-algorithms-module" title="Permalink to this heading">#</a></h1>
+<span id="recommender"></span><h1>Recommender algorithms module<a class="headerlink" href="#recommender-algorithms-module" title="Link to this heading">#</a></h1>
 <p>Recommender system algorithms and utilities.</p>
 <section id="module-recommenders.models.cornac.cornac_utils">
-<span id="cornac-utilities"></span><h2>Cornac utilities<a class="headerlink" href="#module-recommenders.models.cornac.cornac_utils" title="Permalink to this heading">#</a></h2>
+<span id="cornac-utilities"></span><h2>Cornac utilities<a class="headerlink" href="#module-recommenders.models.cornac.cornac_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.cornac.cornac_utils.predict">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.cornac.cornac_utils.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/cornac/cornac_utils.html#predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.cornac.cornac_utils.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.cornac.cornac_utils.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/cornac/cornac_utils.html#predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.cornac.cornac_utils.predict" title="Link to this definition">#</a></dt>
 <dd><p>Computes predictions of a recommender model from Cornac on the data.
 Can be used for computing rating metrics like RMSE.</p>
 <dl class="field-list simple">
@@ -461,7 +1042,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.cornac.cornac_utils.predict_ranking">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.cornac.cornac_utils.</span></span><span class="sig-name descname"><span class="pre">predict_ranking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/cornac/cornac_utils.html#predict_ranking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.cornac.cornac_utils.predict_ranking" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.cornac.cornac_utils.</span></span><span class="sig-name descname"><span class="pre">predict_ranking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/cornac/cornac_utils.html#predict_ranking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.cornac.cornac_utils.predict_ranking" title="Link to this definition">#</a></dt>
 <dd><p>Computes predictions of recommender model from Cornac on all users and items in data.
 It can be used for computing ranking metrics like NDCG.</p>
 <dl class="field-list simple">
@@ -485,16 +1066,16 @@ <h2> Contents </h2>
 
 </section>
 <section id="deeprec-utilities">
-<h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Permalink to this heading">#</a></h2>
+<h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Link to this heading">#</a></h2>
 <section id="module-recommenders.models.deeprec.models.base_model">
-<span id="base-model"></span><h3>Base model<a class="headerlink" href="#module-recommenders.models.deeprec.models.base_model" title="Permalink to this heading">#</a></h3>
+<span id="base-model"></span><h3>Base model<a class="headerlink" href="#module-recommenders.models.deeprec.models.base_model" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel" title="Link to this definition">#</a></dt>
 <dd><p>Base class for models</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializing the model. Create common logics which are needed by all deeprec models, such as loss function,
 parameter set.</p>
 <dl class="field-list simple">
@@ -511,7 +1092,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.eval">
-<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the data in <cite>feed_dict</cite> with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -531,7 +1112,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the model with <cite>train_file</cite>. Evaluate the model on valid_file per epoch to observe the training status.
 If <cite>test_file</cite> is not None, evaluate it too.</p>
 <dl class="field-list simple">
@@ -553,7 +1134,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.group_labels">
-<span class="sig-name descname"><span class="pre">group_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.group_labels"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.group_labels" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">group_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.group_labels"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.group_labels" title="Link to this definition">#</a></dt>
 <dd><p>Devide <cite>labels</cite> and <cite>preds</cite> into several group according to values in group keys.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -578,7 +1159,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.infer">
-<span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.infer" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.infer" title="Link to this definition">#</a></dt>
 <dd><p>Given feature data (in <cite>feed_dict</cite>), get predicted scores with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -598,7 +1179,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.load_model">
-<span class="sig-name descname"><span class="pre">load_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.load_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.load_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.load_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.load_model" title="Link to this definition">#</a></dt>
 <dd><p>Load an existing model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -612,7 +1193,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.predict" title="Link to this definition">#</a></dt>
 <dd><p>Make predictions on the given data, and output predicted scores to a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -632,7 +1213,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the given file and returns some evaluation metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -649,7 +1230,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.base_model.BaseModel.train">
-<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.train" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/base_model.html#BaseModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.base_model.BaseModel.train" title="Link to this definition">#</a></dt>
 <dd><p>Go through the optimization step once with training data in <cite>feed_dict</cite>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -671,14 +1252,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.sequential_base_model">
-<span id="sequential-base-model"></span><h3>Sequential base model<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model" title="Permalink to this heading">#</a></h3>
+<span id="sequential-base-model"></span><h3>Sequential base model<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sequential_base_model.</span></span><span class="sig-name descname"><span class="pre">SequentialBaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sequential_base_model.</span></span><span class="sig-name descname"><span class="pre">SequentialBaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel" title="Link to this definition">#</a></dt>
 <dd><p>Base class for sequential models</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializing the model. Create common logics which are needed by all sequential models, such as loss function,
 parameter set.</p>
 <dl class="field-list simple">
@@ -695,7 +1276,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_num_ngs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'group_auc'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_num_ngs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'group_auc'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the model with <cite>train_file</cite>. Evaluate the model on <cite>valid_file</cite> per epoch to observe the training status.
 If <cite>test_file</cite> is not None, evaluate it too.</p>
 <dl class="field-list simple">
@@ -718,7 +1299,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict" title="Link to this definition">#</a></dt>
 <dd><p>Make predictions on the given data, and output predicted scores to a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -738,7 +1319,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_ngs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_ngs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sequential_base_model.html#SequentialBaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the given file and returns some evaluation metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -760,14 +1341,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.io.iterator">
-<span id="iterators"></span><h3>Iterators<a class="headerlink" href="#module-recommenders.models.deeprec.io.iterator" title="Permalink to this heading">#</a></h3>
+<span id="iterators"></span><h3>Iterators<a class="headerlink" href="#module-recommenders.models.deeprec.io.iterator" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.BaseIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.iterator.</span></span><span class="sig-name descname"><span class="pre">BaseIterator</span></span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.iterator.</span></span><span class="sig-name descname"><span class="pre">BaseIterator</span></span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator" title="Link to this definition">#</a></dt>
 <dd><p>Abstract base iterator class</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Abstract method. Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -778,7 +1359,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Abstract method. Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -789,7 +1370,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#BaseIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Abstract method. Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -802,13 +1383,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.iterator.</span></span><span class="sig-name descname"><span class="pre">FFMTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.iterator.</span></span><span class="sig-name descname"><span class="pre">FFMTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator" title="Link to this definition">#</a></dt>
 <dd><p>Data loader for FFM format based models, such as xDeepFM.
 Iterator will not load the whole data into memory. Instead, it loads data into memory
 per mini-batch, so that large files can be used as input data.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create the necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -824,7 +1405,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict">
-<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -841,7 +1422,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -858,7 +1439,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/iterator.html#FFMTextIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -875,9 +1456,9 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.io.dkn_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.io.dkn_iterator">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.dkn_iterator.</span></span><span class="sig-name descname"><span class="pre">DKNTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.dkn_iterator.</span></span><span class="sig-name descname"><span class="pre">DKNTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator" title="Link to this definition">#</a></dt>
 <dd><p>Data loader for the DKN model.
 DKN requires a special type of data format, where each instance contains a label, the candidate news article,
 and user’s clicked news article. Articles are represented by title words and title entities. Words and entities
@@ -886,7 +1467,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 per mini-batch, so that large files can be used as input data.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -902,7 +1483,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict">
-<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -919,7 +1500,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict">
-<span class="sig-name descname"><span class="pre">gen_infer_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.gen_infer_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_infer_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.gen_infer_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -936,7 +1517,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -955,7 +1536,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file">
-<span class="sig-name descname"><span class="pre">load_infer_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.load_infer_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_infer_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.load_infer_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file for infer document embedding.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -974,7 +1555,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_iterator.html#DKNTextIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -992,12 +1573,12 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.io.dkn_item2item_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.io.dkn_item2item_iterator">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.dkn_item2item_iterator.</span></span><span class="sig-name descname"><span class="pre">DKNItem2itemTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.dkn_item2item_iterator.</span></span><span class="sig-name descname"><span class="pre">DKNItem2itemTextIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator" title="Link to this definition">#</a></dt>
 <dd><dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>This new iterator is for DKN’s item-to-item recommendations version.
 The tutorial can be found <a class="reference external" href="https://github.com/microsoft/recommenders/blob/main/examples/07_tutorials/KDD2020-tutorial/step4_run_dkn_item2item.ipynb">on this notebook</a>.</p>
 <p>Compared with user-to-item recommendations, we don’t need the user behavior module.
@@ -1014,7 +1595,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/dkn_item2item_iterator.html#DKNItem2itemTextIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>This function will return a mini-batch of data with features,
 by looking up <cite>news_word_index</cite> dictionary and <cite>news_entity_index</cite> dictionary according to the news article’s ID.</p>
 <dl class="field-list simple">
@@ -1034,16 +1615,16 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.io.nextitnet_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.io.nextitnet_iterator">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.nextitnet_iterator.</span></span><span class="sig-name descname"><span class="pre">NextItNetIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/nextitnet_iterator.html#NextItNetIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.nextitnet_iterator.</span></span><span class="sig-name descname"><span class="pre">NextItNetIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/nextitnet_iterator.html#NextItNetIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator" title="Link to this definition">#</a></dt>
 <dd><p>Data loader for the NextItNet model.</p>
 <p>NextItNet requires a special type of data format. In training stage, each instance will
 produce <cite>(sequence_length * train_num_ngs)</cite> target items and labels, to let NextItNet
 output predictions of every item in a sequence except only of the last item.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/nextitnet_iterator.html#NextItNetIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/nextitnet_iterator.html#NextItNetIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.
 Different from sequential iterator</p>
 <dl class="field-list simple">
@@ -1059,12 +1640,12 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.io.sequential_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.io.sequential_iterator">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.sequential_iterator.</span></span><span class="sig-name descname"><span class="pre">SequentialIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.io.sequential_iterator.</span></span><span class="sig-name descname"><span class="pre">SequentialIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator" title="Link to this definition">#</a></dt>
 <dd><dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1079,7 +1660,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict">
-<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gen_feed_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.gen_feed_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict" title="Link to this definition">#</a></dt>
 <dd><p>Construct a dictionary that maps graph elements to values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1096,7 +1677,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_seq_length</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_num_ngs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_seq_length</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1116,7 +1697,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file">
-<span class="sig-name descname"><span class="pre">parse_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.parse_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parse_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.parse_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file" title="Link to this definition">#</a></dt>
 <dd><p>Parse the file to A list ready to be used for downstream tasks.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1133,7 +1714,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/io/sequential_iterator.html#SequentialIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1156,15 +1737,15 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.DataModel.ImplicitCF">
-<span id="data-processing-utilities"></span><h3>Data processing utilities<a class="headerlink" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF" title="Permalink to this heading">#</a></h3>
+<span id="data-processing-utilities"></span><h3>Data processing utilities<a class="headerlink" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.DataModel.ImplicitCF.</span></span><span class="sig-name descname"><span class="pre">ImplicitCF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adj_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.DataModel.ImplicitCF.</span></span><span class="sig-name descname"><span class="pre">ImplicitCF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adj_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF" title="Link to this definition">#</a></dt>
 <dd><p>Data processing class for GCN models which use implicit feedback.</p>
 <p>Initialize train and test set, create normalized adjacency matrix and sample data for training epochs.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adj_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adj_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1185,7 +1766,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat">
-<span class="sig-name descname"><span class="pre">create_norm_adj_mat</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.create_norm_adj_mat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">create_norm_adj_mat</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.create_norm_adj_mat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat" title="Link to this definition">#</a></dt>
 <dd><p>Create normalized adjacency matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1199,7 +1780,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat">
-<span class="sig-name descname"><span class="pre">get_norm_adj_mat</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.get_norm_adj_mat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_norm_adj_mat</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.get_norm_adj_mat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat" title="Link to this definition">#</a></dt>
 <dd><p>Load normalized adjacency matrix if it exists, otherwise create (and save) it.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1213,7 +1794,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader">
-<span class="sig-name descname"><span class="pre">train_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.train_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/DataModel/ImplicitCF.html#ImplicitCF.train_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader" title="Link to this definition">#</a></dt>
 <dd><p>Sample train data every batch. One positive item and one negative item sampled for each user.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1237,14 +1818,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.deeprec_utils">
-<span id="utilities"></span><h3>Utilities<a class="headerlink" href="#module-recommenders.models.deeprec.deeprec_utils" title="Permalink to this heading">#</a></h3>
+<span id="utilities"></span><h3>Utilities<a class="headerlink" href="#module-recommenders.models.deeprec.deeprec_utils" title="Link to this heading">#</a></h3>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.HParams">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">HParams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">HParams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams" title="Link to this definition">#</a></dt>
 <dd><p>Class for holding hyperparameters for DeepRec algorithms.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.HParams.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Create an HParams object from a dictionary of hyperparameter values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1255,13 +1836,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.HParams.__repr__">
-<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.__repr__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.__repr__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.__repr__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.__repr__" title="Link to this definition">#</a></dt>
 <dd><p>Return repr(self).</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.HParams.values">
-<span class="sig-name descname"><span class="pre">values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.values"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.values" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#HParams.values"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.HParams.values" title="Link to this definition">#</a></dt>
 <dd><p>Return the hyperparameter values as a dictionary.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1277,7 +1858,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.cal_metric">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">cal_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#cal_metric"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.cal_metric" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">cal_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#cal_metric"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.cal_metric" title="Link to this definition">#</a></dt>
 <dd><p>Calculate metrics.</p>
 <p>Available options are: <cite>auc</cite>, <cite>rmse</cite>, <cite>logloss</cite>, <cite>acc</cite> (accurary), <cite>f1</cite>, <cite>mean_mrr</cite>,
 <cite>ndcg</cite> (format like: ndcg&#64;2;4;6;8), <cite>hit</cite> (format like: hit&#64;2;4;6;8), <cite>group_auc</cite>.</p>
@@ -1305,7 +1886,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.check_nn_config">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">check_nn_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#check_nn_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.check_nn_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">check_nn_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#check_nn_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.check_nn_config" title="Link to this definition">#</a></dt>
 <dd><p>Check neural networks configuration.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1319,7 +1900,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.check_type">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">check_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#check_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.check_type" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">check_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#check_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.check_type" title="Link to this definition">#</a></dt>
 <dd><p>Check that the config parameters are the correct type</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1333,7 +1914,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.create_hparams">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">create_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">flags</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#create_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.create_hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">create_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">flags</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#create_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.create_hparams" title="Link to this definition">#</a></dt>
 <dd><p>Create the model hyperparameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1350,7 +1931,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.dcg_score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">dcg_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#dcg_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.dcg_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">dcg_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#dcg_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.dcg_score" title="Link to this definition">#</a></dt>
 <dd><p>Computing dcg score metric at k.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1370,7 +1951,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.download_deeprec_resources">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">download_deeprec_resources</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">azure_container_url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remote_resource_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#download_deeprec_resources"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">download_deeprec_resources</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">azure_container_url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remote_resource_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#download_deeprec_resources"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources" title="Link to this definition">#</a></dt>
 <dd><p>Download resources.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1385,7 +1966,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.flat_config">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">flat_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#flat_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.flat_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">flat_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#flat_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.flat_config" title="Link to this definition">#</a></dt>
 <dd><p>Flat config loaded from a yaml file to a flat dict.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1402,7 +1983,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.hit_score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">hit_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#hit_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.hit_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">hit_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#hit_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.hit_score" title="Link to this definition">#</a></dt>
 <dd><p>Computing hit score metric at k.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1422,7 +2003,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.load_dict">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.load_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.load_dict" title="Link to this definition">#</a></dt>
 <dd><p>Load the vocabularies.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1439,7 +2020,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.load_yaml">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">load_yaml</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#load_yaml"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.load_yaml" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">load_yaml</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#load_yaml"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.load_yaml" title="Link to this definition">#</a></dt>
 <dd><p>Load a yaml file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1456,7 +2037,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.mrr_score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">mrr_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#mrr_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.mrr_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">mrr_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#mrr_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.mrr_score" title="Link to this definition">#</a></dt>
 <dd><p>Computing mrr score metric.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1476,7 +2057,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.ndcg_score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">ndcg_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#ndcg_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.ndcg_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">ndcg_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_score</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#ndcg_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.ndcg_score" title="Link to this definition">#</a></dt>
 <dd><p>Computing ndcg score metric at k.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1496,7 +2077,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.deeprec_utils.prepare_hparams">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#prepare_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.prepare_hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.deeprec_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/deeprec_utils.html#prepare_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.deeprec_utils.prepare_hparams" title="Link to this definition">#</a></dt>
 <dd><p>Prepare the model hyperparameters and check that all have the correct value.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1514,10 +2095,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </section>
 </section>
 <section id="module-recommenders.models.deeprec.models.dkn">
-<span id="dkn"></span><h2>DKN<a class="headerlink" href="#module-recommenders.models.deeprec.models.dkn" title="Permalink to this heading">#</a></h2>
+<span id="dkn"></span><h2>DKN<a class="headerlink" href="#module-recommenders.models.deeprec.models.dkn" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn.DKN">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.dkn.</span></span><span class="sig-name descname"><span class="pre">DKN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.dkn.</span></span><span class="sig-name descname"><span class="pre">DKN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN" title="Link to this definition">#</a></dt>
 <dd><p>DKN model (Deep Knowledge-Aware Network)</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1528,7 +2109,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn.DKN.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for DKN.
 Compared with the BaseModel, DKN requires two different pre-computed embeddings,
 i.e. word embedding and entity embedding.
@@ -1545,7 +2126,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn.DKN.infer_embedding">
-<span class="sig-name descname"><span class="pre">infer_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.infer_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.infer_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">infer_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.infer_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.infer_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Infer document embedding in feed_dict with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1565,7 +2146,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn.DKN.run_get_embedding">
-<span class="sig-name descname"><span class="pre">run_get_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.run_get_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_get_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn.html#DKN.run_get_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding" title="Link to this definition">#</a></dt>
 <dd><p>infer document embedding with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1587,15 +2168,15 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.dkn_item2item">
-<span id="dkn-item-to-item"></span><h2>DKN item-to-item<a class="headerlink" href="#module-recommenders.models.deeprec.models.dkn_item2item" title="Permalink to this heading">#</a></h2>
+<span id="dkn-item-to-item"></span><h2>DKN item-to-item<a class="headerlink" href="#module-recommenders.models.deeprec.models.dkn_item2item" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.dkn_item2item.</span></span><span class="sig-name descname"><span class="pre">DKNItem2Item</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.dkn_item2item.</span></span><span class="sig-name descname"><span class="pre">DKNItem2Item</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item" title="Link to this definition">#</a></dt>
 <dd><p>Class for item-to-item recommendations using DKN.
 See <a class="github reference external" href="https://github.com/microsoft/recommenders/blob/main/examples/07_tutorials/KDD2020-tutorial/step4_run_dkn_item2item.ipynb">microsoft/recommenders</a></p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval">
-<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sess</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feed_dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the data in <cite>feed_dict</cite> with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1615,7 +2196,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/dkn_item2item.html#DKNItem2Item.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the given file and returns some evaluation metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1634,10 +2215,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.xDeepFM">
-<span id="xdeepfm"></span><h2>xDeepFM<a class="headerlink" href="#module-recommenders.models.deeprec.models.xDeepFM" title="Permalink to this heading">#</a></h2>
+<span id="xdeepfm"></span><h2>xDeepFM<a class="headerlink" href="#module-recommenders.models.deeprec.models.xDeepFM" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.xDeepFM.XDeepFMModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.xDeepFM.</span></span><span class="sig-name descname"><span class="pre">XDeepFMModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/xDeepFM.html#XDeepFMModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.xDeepFM.</span></span><span class="sig-name descname"><span class="pre">XDeepFMModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/xDeepFM.html#XDeepFMModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel" title="Link to this definition">#</a></dt>
 <dd><p>xDeepFM model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1651,10 +2232,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.graphrec.lightgcn">
-<span id="lightgcn"></span><h2>LightGCN<a class="headerlink" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn" title="Permalink to this heading">#</a></h2>
+<span id="lightgcn"></span><h2>LightGCN<a class="headerlink" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.graphrec.lightgcn.</span></span><span class="sig-name descname"><span class="pre">LightGCN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.graphrec.lightgcn.</span></span><span class="sig-name descname"><span class="pre">LightGCN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN" title="Link to this definition">#</a></dt>
 <dd><p>LightGCN model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1665,7 +2246,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializing the model. Create parameters, placeholders, embeddings and loss function.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1680,14 +2261,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the model on self.data.train. If eval_epoch is not -1, evaluate the model on <cite>self.data.test</cite>
 every <cite>eval_epoch</cite> epoch to observe the training status.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding">
-<span class="sig-name descname"><span class="pre">infer_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.infer_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">infer_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.infer_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Export user and item embeddings to csv files.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1701,7 +2282,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load">
-<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load" title="Link to this definition">#</a></dt>
 <dd><p>Load an existing model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1715,7 +2296,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Recommend top K items for all users in the test set.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1737,7 +2318,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Run evaluation on self.data.test.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1751,7 +2332,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score">
-<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_ids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_ids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/graphrec/lightgcn.html#LightGCN.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score" title="Link to this definition">#</a></dt>
 <dd><p>Score all items for test users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1773,10 +2354,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.asvd">
-<span id="a2svd"></span><h2>A2SVD<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.asvd" title="Permalink to this heading">#</a></h2>
+<span id="a2svd"></span><h2>A2SVD<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.asvd" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.asvd.A2SVDModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.asvd.</span></span><span class="sig-name descname"><span class="pre">A2SVDModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/asvd.html#A2SVDModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.asvd.</span></span><span class="sig-name descname"><span class="pre">A2SVDModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/asvd.html#A2SVDModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel" title="Link to this definition">#</a></dt>
 <dd><p>A2SVD Model (Attentive Asynchronous Singular Value Decomposition)</p>
 <p>It extends ASVD with an attention module.</p>
 <dl class="field-list">
@@ -1794,10 +2375,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.caser">
-<span id="caser"></span><h2>Caser<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.caser" title="Permalink to this heading">#</a></h2>
+<span id="caser"></span><h2>Caser<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.caser" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.caser.CaserModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.caser.</span></span><span class="sig-name descname"><span class="pre">CaserModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/caser.html#CaserModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.caser.</span></span><span class="sig-name descname"><span class="pre">CaserModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/caser.html#CaserModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel" title="Link to this definition">#</a></dt>
 <dd><p>Caser Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1808,7 +2389,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/caser.html#CaserModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/caser.html#CaserModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization of variables for caser</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1824,10 +2405,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.gru">
-<span id="gru"></span><h2>GRU<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.gru" title="Permalink to this heading">#</a></h2>
+<span id="gru"></span><h2>GRU<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.gru" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.gru.GRUModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.gru.</span></span><span class="sig-name descname"><span class="pre">GRUModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/gru.html#GRUModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.gru.GRUModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.gru.</span></span><span class="sig-name descname"><span class="pre">GRUModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/gru.html#GRUModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.gru.GRUModel" title="Link to this definition">#</a></dt>
 <dd><p>GRU Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1841,10 +2422,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.nextitnet">
-<span id="nextitnet"></span><h2>NextItNet<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.nextitnet" title="Permalink to this heading">#</a></h2>
+<span id="nextitnet"></span><h2>NextItNet<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.nextitnet" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.nextitnet.</span></span><span class="sig-name descname"><span class="pre">NextItNetModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/nextitnet.html#NextItNetModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.nextitnet.</span></span><span class="sig-name descname"><span class="pre">NextItNetModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/nextitnet.html#NextItNetModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel" title="Link to this definition">#</a></dt>
 <dd><p>NextItNet Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1860,7 +2441,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">
-<span id="rnn-cells"></span><h2>RNN Cells<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement" title="Permalink to this heading">#</a></h2>
+<span id="rnn-cells"></span><h2>RNN Cells<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement" title="Link to this heading">#</a></h2>
 <p>Module implementing RNN Cells.</p>
 <p>This module provides a number of basic commonly used RNN cells, such as LSTM
 (Long Short Term Memory) or GRU (Gated Recurrent Unit), and a number of
@@ -1869,10 +2450,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 calling the <cite>rnn</cite> ops several times.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.rnn_cell_implement.</span></span><span class="sig-name descname"><span class="pre">Time4ALSTMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4ALSTMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.rnn_cell_implement.</span></span><span class="sig-name descname"><span class="pre">Time4ALSTMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4ALSTMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell" title="Link to this definition">#</a></dt>
 <dd><dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4ALSTMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4ALSTMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call" title="Link to this definition">#</a></dt>
 <dd><p>Call method for the Time4ALSTMCell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1896,7 +2477,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size" title="Link to this definition">#</a></dt>
 <dd><p>size of outputs produced by this cell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1907,7 +2488,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size" title="Link to this definition">#</a></dt>
 <dd><p>size(s) of state(s) used by this cell.</p>
 <p>It can be represented by an Integer, a TensorShape or a tuple of Integers
 or TensorShapes.</p>
@@ -1917,10 +2498,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.rnn_cell_implement.</span></span><span class="sig-name descname"><span class="pre">Time4LSTMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4LSTMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.rnn_cell_implement.</span></span><span class="sig-name descname"><span class="pre">Time4LSTMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4LSTMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell" title="Link to this definition">#</a></dt>
 <dd><dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4LSTMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/rnn_cell_implement.html#Time4LSTMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call" title="Link to this definition">#</a></dt>
 <dd><p>Call method for the Time4LSTMCell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1944,7 +2525,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size" title="Link to this definition">#</a></dt>
 <dd><p>size of outputs produced by this cell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -1955,7 +2536,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size" title="Link to this definition">#</a></dt>
 <dd><p>size(s) of state(s) used by this cell.</p>
 <p>It can be represented by an Integer, a TensorShape or a tuple of Integers
 or TensorShapes.</p>
@@ -1965,10 +2546,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.sum">
-<span id="sum"></span><h2>SUM<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sum" title="Permalink to this heading">#</a></h2>
+<span id="sum"></span><h2>SUM<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sum" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum.SUMModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum.</span></span><span class="sig-name descname"><span class="pre">SUMModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum.html#SUMModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum.SUMModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum.</span></span><span class="sig-name descname"><span class="pre">SUMModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum.html#SUMModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum.SUMModel" title="Link to this definition">#</a></dt>
 <dd><p>Sequential User Matrix Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -1978,13 +2559,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.deeprec.models.sequential.sum_cells"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.deeprec.models.sequential.sum_cells">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum_cells.</span></span><span class="sig-name descname"><span class="pre">SUMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum_cells.</span></span><span class="sig-name descname"><span class="pre">SUMCell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell" title="Link to this definition">#</a></dt>
 <dd><p>Cell for Sequential User Matrix</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build" title="Link to this definition">#</a></dt>
 <dd><p>Creates the variables of the layer (optional, for subclass implementers).</p>
 <p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
 can override if they need a state-creation step in-between
@@ -2003,7 +2584,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call" title="Link to this definition">#</a></dt>
 <dd><p>The real operations for SUM cell to process user behaviors.</p>
 <dl class="simple">
 <dt>params:</dt><dd><p>inputs: (a batch of) user behaviors at time T
@@ -2026,7 +2607,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config">
-<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell.get_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMCell.get_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config" title="Link to this definition">#</a></dt>
 <dd><p>Returns the config of the layer.</p>
 <p>A layer config is a Python dictionary (serializable)
 containing the configuration of a layer.
@@ -2047,7 +2628,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size" title="Link to this definition">#</a></dt>
 <dd><p>size of outputs produced by this cell.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2058,7 +2639,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state_size</span></span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size" title="Link to this definition">#</a></dt>
 <dd><p>size(s) of state(s) used by this cell.</p>
 <p>It can be represented by an Integer, a TensorShape or a tuple of Integers
 or TensorShapes.</p>
@@ -2068,11 +2649,11 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum_cells.</span></span><span class="sig-name descname"><span class="pre">SUMV2Cell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMV2Cell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sum_cells.</span></span><span class="sig-name descname"><span class="pre">SUMV2Cell</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMV2Cell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell" title="Link to this definition">#</a></dt>
 <dd><p>A variant of SUM cell, which upgrades the writing attention</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build" title="Link to this definition">#</a></dt>
 <dd><p>Creates the variables of the layer (optional, for subclass implementers).</p>
 <p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
 can override if they need a state-creation step in-between
@@ -2091,7 +2672,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMV2Cell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sum_cells.html#SUMV2Cell.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call" title="Link to this definition">#</a></dt>
 <dd><p>The real operations for SUMV2 cell to process user behaviors.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2114,10 +2695,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.deeprec.models.sequential.sli_rec">
-<span id="slirec"></span><h2>SLIRec<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sli_rec" title="Permalink to this heading">#</a></h2>
+<span id="slirec"></span><h2>SLIRec<a class="headerlink" href="#module-recommenders.models.deeprec.models.sequential.sli_rec" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sli_rec.</span></span><span class="sig-name descname"><span class="pre">SLI_RECModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sli_rec.html#SLI_RECModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.deeprec.models.sequential.sli_rec.</span></span><span class="sig-name descname"><span class="pre">SLI_RECModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/deeprec/models/sequential/sli_rec.html#SLI_RECModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel" title="Link to this definition">#</a></dt>
 <dd><p>SLI Rec model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -2131,14 +2712,14 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.fastai.fastai_utils">
-<span id="fastai-utilities"></span><h2>FastAI utilities<a class="headerlink" href="#module-recommenders.models.fastai.fastai_utils" title="Permalink to this heading">#</a></h2>
+<span id="fastai-utilities"></span><h2>FastAI utilities<a class="headerlink" href="#module-recommenders.models.fastai.fastai_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.fastai.fastai_utils.cartesian_product">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">cartesian_product</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">arrays</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#cartesian_product"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.cartesian_product" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">cartesian_product</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">arrays</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#cartesian_product"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.cartesian_product" title="Link to this definition">#</a></dt>
 <dd><p>Compute the Cartesian product in fastai algo. This is a helper function.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>arrays</strong> (<em>tuple of numpy.ndarray</em>) – Input arrays</p>
+<dd class="field-odd"><p><strong>arrays</strong> (<em>tuple</em><em> of </em><em>numpy.ndarray</em>) – Input arrays</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>product</p>
@@ -2151,13 +2732,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">hide_fastai_progress_bar</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#hide_fastai_progress_bar"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">hide_fastai_progress_bar</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#hide_fastai_progress_bar"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar" title="Link to this definition">#</a></dt>
 <dd><p>Hide fastai progress bar</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.fastai.fastai_utils.score">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prediction_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.fastai.fastai_utils.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prediction_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/fastai/fastai_utils.html#score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.fastai.fastai_utils.score" title="Link to this definition">#</a></dt>
 <dd><p>Score all users+items provided and reduce to top_k items per user if top_k&gt;0</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2181,10 +2762,10 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.lightfm.lightfm_utils">
-<span id="lightfm-utilities"></span><h2>LightFM utilities<a class="headerlink" href="#module-recommenders.models.lightfm.lightfm_utils" title="Permalink to this heading">#</a></h2>
+<span id="lightfm-utilities"></span><h2>LightFM utilities<a class="headerlink" href="#module-recommenders.models.lightfm.lightfm_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.compare_metric">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">compare_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prec'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'test'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#compare_metric"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.compare_metric" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">compare_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prec'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'test'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#compare_metric"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.compare_metric" title="Link to this definition">#</a></dt>
 <dd><p>Function to combine and prepare list of dataframes into tidy format.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2205,7 +2786,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.model_perf_plots">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">model_perf_plots</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#model_perf_plots"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.model_perf_plots" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">model_perf_plots</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#model_perf_plots"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.model_perf_plots" title="Link to this definition">#</a></dt>
 <dd><p>Function to plot model performance metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2222,7 +2803,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.prepare_all_predictions">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_all_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_threads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#prepare_all_predictions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_all_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_threads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#prepare_all_predictions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions" title="Link to this definition">#</a></dt>
 <dd><p>Function to prepare all predictions for evaluation.
 :param data: dataframe of all users, items and ratings as loaded
 :type data: pandas df
@@ -2252,7 +2833,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.prepare_test_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_test_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#prepare_test_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.prepare_test_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_test_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iid_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#prepare_test_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.prepare_test_df" title="Link to this definition">#</a></dt>
 <dd><p>Function to prepare test df for evaluation</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2276,7 +2857,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.similar_items">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">similar_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">item_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#similar_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.similar_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">similar_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">item_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#similar_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.similar_items" title="Link to this definition">#</a></dt>
 <dd><p>Function to return top N similar items
 based on <a class="github reference external" href="https://github.com/lyst/lightfm/issues/244#issuecomment-355305681">lyst/lightfm#244</a></p>
 <dl class="field-list simple">
@@ -2299,7 +2880,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.similar_users">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">similar_users</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#similar_users"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.similar_users" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">similar_users</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#similar_users"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.similar_users" title="Link to this definition">#</a></dt>
 <dd><p>Function to return top N similar users based on <a class="github reference external" href="https://github.com/lyst/lightfm/issues/244#issuecomment-355305681">lyst/lightfm#244</a></p>
 <blockquote>
 <div><dl class="simple">
@@ -2322,7 +2903,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightfm.lightfm_utils.track_model_metrics">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">track_model_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_threads</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#track_model_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.track_model_metrics" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightfm.lightfm_utils.</span></span><span class="sig-name descname"><span class="pre">track_model_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_interactions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_threads</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightfm/lightfm_utils.html#track_model_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightfm.lightfm_utils.track_model_metrics" title="Link to this definition">#</a></dt>
 <dd><p>Function to record model’s performance at each epoch, formats the performance into tidy format,
 plots the performance and outputs the performance data.</p>
 <dl class="field-list simple">
@@ -2353,15 +2934,15 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.lightgbm.lightgbm_utils">
-<span id="lightgbm-utilities"></span><h2>LightGBM utilities<a class="headerlink" href="#module-recommenders.models.lightgbm.lightgbm_utils" title="Permalink to this heading">#</a></h2>
+<span id="lightgbm-utilities"></span><h2>LightGBM utilities<a class="headerlink" href="#module-recommenders.models.lightgbm.lightgbm_utils" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.lightgbm.lightgbm_utils.NumEncoder">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.lightgbm.lightgbm_utils.</span></span><span class="sig-name descname"><span class="pre">NumEncoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cate_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nume_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thresrate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.99</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.lightgbm.lightgbm_utils.</span></span><span class="sig-name descname"><span class="pre">NumEncoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cate_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nume_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thresrate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.99</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder" title="Link to this definition">#</a></dt>
 <dd><p>Encode all the categorical features into numerical ones by sequential label encoding, sequential count encoding,
 and binary encoding. Additionally, it also filters the low-frequency categories and fills the missing values.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform">
-<span class="sig-name descname"><span class="pre">fit_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder.fit_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder.fit_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform" title="Link to this definition">#</a></dt>
 <dd><p>Input a training set (pandas.DataFrame) and return the converted 2 numpy.ndarray (x,y).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2378,7 +2959,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform">
-<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#NumEncoder.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform" title="Link to this definition">#</a></dt>
 <dd><p>Input a testing / validation set (pandas.DataFrame) and return the converted 2 numpy.ndarray (x,y).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2397,7 +2978,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.lightgbm.lightgbm_utils.unpackbits">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightgbm.lightgbm_utils.</span></span><span class="sig-name descname"><span class="pre">unpackbits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_bits</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#unpackbits"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.unpackbits" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.lightgbm.lightgbm_utils.</span></span><span class="sig-name descname"><span class="pre">unpackbits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_bits</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/lightgbm/lightgbm_utils.html#unpackbits"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.lightgbm.lightgbm_utils.unpackbits" title="Link to this definition">#</a></dt>
 <dd><p>Convert a decimal value numpy.ndarray into multi-binary value numpy.ndarray ([1,2]-&gt;[[0,1],[1,0]])</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2411,16 +2992,16 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="module-recommenders.models.ncf.dataset">
-<span id="ncf"></span><h2>NCF<a class="headerlink" href="#module-recommenders.models.ncf.dataset" title="Permalink to this heading">#</a></h2>
+<span id="ncf"></span><h2>NCF<a class="headerlink" href="#module-recommenders.models.ncf.dataset" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.DataFile">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">DataFile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_test_batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">DataFile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_test_batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile" title="Link to this definition">#</a></dt>
 <dd><p>DataFile class for NCF. Iterator to read data from a csv file.
 Data must be sorted by user. Includes utilities for loading user data from
 file, formatting it and returning a Pandas dataframe.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.DataFile.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_test_batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_test_batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2438,7 +3019,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.DataFile.load_data">
-<span class="sig-name descname"><span class="pre">load_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">by_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile.load_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile.load_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">by_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#DataFile.load_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.DataFile.load_data" title="Link to this definition">#</a></dt>
 <dd><p>Load data for a specified user or test batch</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2457,11 +3038,11 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.Dataset">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">Dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite_test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg_test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">Dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite_test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg_test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset" title="Link to this definition">#</a></dt>
 <dd><p>Dataset class for NCF</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.Dataset.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite_test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg_test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite_test_file_full</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_neg_test</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2488,7 +3069,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.Dataset.test_loader">
-<span class="sig-name descname"><span class="pre">test_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yield_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.test_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.test_loader" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">test_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yield_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.test_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.test_loader" title="Link to this definition">#</a></dt>
 <dd><p>Generator for serving batches of test data for leave-one-out evaluation. Data is loaded from test_file_full.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2502,7 +3083,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.Dataset.train_loader">
-<span class="sig-name descname"><span class="pre">train_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">yield_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_to</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.train_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.train_loader" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train_loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">yield_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_to</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#Dataset.train_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.Dataset.train_loader" title="Link to this definition">#</a></dt>
 <dd><p>Generator for serving batches of training data. Positive examples are loaded from the
 original training file, to which negative samples are added. Data is loaded in memory into a
 shuffle buffer up to a maximum of shuffle_size rows, before the data is shuffled and released.
@@ -2526,35 +3107,35 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.EmptyFileException">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">EmptyFileException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#EmptyFileException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.EmptyFileException" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">EmptyFileException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#EmptyFileException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.EmptyFileException" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised if file is empty</p>
 </dd></dl>
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.FileNotSortedException">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">FileNotSortedException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#FileNotSortedException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.FileNotSortedException" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">FileNotSortedException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#FileNotSortedException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.FileNotSortedException" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised if file is not sorted correctly</p>
 </dd></dl>
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.MissingFieldsException">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">MissingFieldsException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#MissingFieldsException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.MissingFieldsException" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">MissingFieldsException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#MissingFieldsException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.MissingFieldsException" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised if file is missing expected fields</p>
 </dd></dl>
 
 <dl class="py exception">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.MissingUserException">
-<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">MissingUserException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#MissingUserException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.MissingUserException" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">MissingUserException</span></span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#MissingUserException"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.MissingUserException" title="Link to this definition">#</a></dt>
 <dd><p>Exception raised if user is not in file</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.NegativeSampler">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">NegativeSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_positive_item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.dataset.</span></span><span class="sig-name descname"><span class="pre">NegativeSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_positive_item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler" title="Link to this definition">#</a></dt>
 <dd><p>NegativeSampler class for NCF. Samples a subset of negative items from a given population of items.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.NegativeSampler.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_positive_item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_positive_item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_pool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_with_replacement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_warnings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2575,16 +3156,16 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.dataset.NegativeSampler.sample">
-<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler.sample" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/dataset.html#NegativeSampler.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.dataset.NegativeSampler.sample" title="Link to this definition">#</a></dt>
 <dd><p>Method for sampling uniformly from a population of negative items</p>
 <p>Returns: list</p>
 </dd></dl>
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.ncf.ncf_singlenode"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.ncf.ncf_singlenode">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.ncf_singlenode.</span></span><span class="sig-name descname"><span class="pre">NCF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'NeuMF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_sizes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[16,</span> <span class="pre">8,</span> <span class="pre">4]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.ncf.ncf_singlenode.</span></span><span class="sig-name descname"><span class="pre">NCF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'NeuMF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_sizes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[16,</span> <span class="pre">8,</span> <span class="pre">4]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF" title="Link to this definition">#</a></dt>
 <dd><p>Neural Collaborative Filtering (NCF) implementation</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -2595,7 +3176,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'NeuMF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_sizes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[16,</span> <span class="pre">8,</span> <span class="pre">4]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'NeuMF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_sizes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[16,</span> <span class="pre">8,</span> <span class="pre">4]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2617,7 +3198,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit model with training data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2628,7 +3209,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.load">
-<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gmf_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mlp_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neumf_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.load" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gmf_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mlp_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neumf_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.load" title="Link to this definition">#</a></dt>
 <dd><p>Load model parameters for further use.</p>
 <p>GMF model –&gt; load parameters in <cite>gmf_dir</cite></p>
 <p>MLP model –&gt; load parameters in <cite>mlp_dir</cite></p>
@@ -2653,13 +3234,13 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_list</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_list</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.predict" title="Link to this definition">#</a></dt>
 <dd><p>Predict function of this trained model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>user_input</strong> (<em>list</em><em> or </em><em>element of list</em>) – userID or userID list</p></li>
-<li><p><strong>item_input</strong> (<em>list</em><em> or </em><em>element of list</em>) – itemID or itemID list</p></li>
+<li><p><strong>user_input</strong> (<em>list</em><em> or </em><em>element</em><em> of </em><em>list</em>) – userID or userID list</p></li>
+<li><p><strong>item_input</strong> (<em>list</em><em> or </em><em>element</em><em> of </em><em>list</em>) – itemID or itemID list</p></li>
 <li><p><strong>is_list</strong> (<em>bool</em>) – if true, the input is list type
 noting that list-wise type prediction is faster than element-wise’s.</p></li>
 </ul>
@@ -2675,7 +3256,7 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.ncf.ncf_singlenode.NCF.save">
-<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dir_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.save" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dir_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/ncf/ncf_singlenode.html#NCF.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.ncf.ncf_singlenode.NCF.save" title="Link to this definition">#</a></dt>
 <dd><p>Save model parameters in <cite>dir_name</cite></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2689,16 +3270,16 @@ <h2>DeepRec utilities<a class="headerlink" href="#deeprec-utilities" title="Perm
 
 </section>
 <section id="newsrec-utilities">
-<h2>NewsRec utilities<a class="headerlink" href="#newsrec-utilities" title="Permalink to this heading">#</a></h2>
+<h2>NewsRec utilities<a class="headerlink" href="#newsrec-utilities" title="Link to this heading">#</a></h2>
 <section id="id1">
-<h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading">#</a></h3>
-<span class="target" id="module-recommenders.models.newsrec.models.base_model"></span><dl class="py class">
+<h3>Base model<a class="headerlink" href="#id1" title="Link to this heading">#</a></h3>
+<dl class="py class" id="module-recommenders.models.newsrec.models.base_model">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel" title="Link to this definition">#</a></dt>
 <dd><p>Basic class of models</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.hparams">
-<span class="sig-name descname"><span class="pre">hparams</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparams</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.hparams" title="Link to this definition">#</a></dt>
 <dd><p>A HParams object, holds the entire set of hyperparameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2709,7 +3290,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.train_iterator">
-<span class="sig-name descname"><span class="pre">train_iterator</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.train_iterator" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train_iterator</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.train_iterator" title="Link to this definition">#</a></dt>
 <dd><p>An iterator to load the data in training steps.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2720,7 +3301,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.test_iterator">
-<span class="sig-name descname"><span class="pre">test_iterator</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.test_iterator" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">test_iterator</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.test_iterator" title="Link to this definition">#</a></dt>
 <dd><p>An iterator to load the data in testing steps.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2731,7 +3312,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.graph">
-<span class="sig-name descname"><span class="pre">graph</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.graph" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">graph</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.graph" title="Link to this definition">#</a></dt>
 <dd><p>An optional graph.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2742,7 +3323,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.seed">
-<span class="sig-name descname"><span class="pre">seed</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.seed" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">seed</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.seed" title="Link to this definition">#</a></dt>
 <dd><p>Random seed.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2753,7 +3334,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializing the model. Create common logics which are needed by all deeprec models, such as loss function,
 parameter set.</p>
 <dl class="field-list simple">
@@ -2770,7 +3351,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.eval">
-<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">eval_batch_data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">eval_batch_data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the data in feed_dict with current model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2790,7 +3371,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_behaviors_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_behaviors_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_news_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_behaviors_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_behaviors_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">valid_behaviors_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_news_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_behaviors_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the model with train_file. Evaluate the model on valid_file per epoch to observe the training status.
 If test_news_file is not None, evaluate it too.</p>
 <dl class="field-list simple">
@@ -2812,7 +3393,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.group_labels">
-<span class="sig-name descname"><span class="pre">group_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.group_labels"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.group_labels" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">group_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.group_labels"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.group_labels" title="Link to this definition">#</a></dt>
 <dd><p>Devide labels and preds into several group according to values in group keys.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2838,7 +3419,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.run_eval">
-<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.run_eval" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">run_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.run_eval"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.run_eval" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the given file and returns some evaluation metrics.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2855,7 +3436,7 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.base_model.BaseModel.train">
-<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_batch_data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.train" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_batch_data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/base_model.html#BaseModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.base_model.BaseModel.train" title="Link to this definition">#</a></dt>
 <dd><p>Go through the optimization step once with training data in feed_dict.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2877,10 +3458,10 @@ <h3>Base model<a class="headerlink" href="#id1" title="Permalink to this heading
 
 </section>
 <section id="id2">
-<h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading">#</a></h3>
-<span class="target" id="module-recommenders.models.newsrec.io.mind_iterator"></span><dl class="py class">
+<h3>Iterators<a class="headerlink" href="#id2" title="Link to this heading">#</a></h3>
+<dl class="py class" id="module-recommenders.models.newsrec.io.mind_iterator">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.io.mind_iterator.</span></span><span class="sig-name descname"><span class="pre">MINDIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.io.mind_iterator.</span></span><span class="sig-name descname"><span class="pre">MINDIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator" title="Link to this definition">#</a></dt>
 <dd><p>Train data loader for NAML model.
 The model require a special type of data format, where each instance contains a label, impresion id, user id,
 the candidate news articles and user’s clicked news article. Articles are represented by title words,
@@ -2889,7 +3470,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 per mini-batch, so that large files can be used as input data.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter">
-<span class="sig-name descname"><span class="pre">col_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">col_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter" title="Link to this definition">#</a></dt>
 <dd><p>column spliter in one line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2900,7 +3481,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter">
-<span class="sig-name descname"><span class="pre">ID_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ID_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter" title="Link to this definition">#</a></dt>
 <dd><p>ID spliter in one line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2911,7 +3492,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size">
-<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size" title="Link to this definition">#</a></dt>
 <dd><p>the samples num in one batch.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2922,7 +3503,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size">
-<span class="sig-name descname"><span class="pre">title_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">title_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size" title="Link to this definition">#</a></dt>
 <dd><p>max word num in news title.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2933,7 +3514,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size">
-<span class="sig-name descname"><span class="pre">his_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">his_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size" title="Link to this definition">#</a></dt>
 <dd><p>max clicked news num in user click history.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2944,7 +3525,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio">
-<span class="sig-name descname"><span class="pre">npratio</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">npratio</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio" title="Link to this definition">#</a></dt>
 <dd><p>negaive and positive ratio used in negative sampling. -1 means no need of negtive sampling.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -2955,7 +3536,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -2971,7 +3552,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors">
-<span class="sig-name descname"><span class="pre">init_behaviors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.init_behaviors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_behaviors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.init_behaviors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors" title="Link to this definition">#</a></dt>
 <dd><p>init behavior logs given behaviors file.</p>
 <p>Args:
 behaviors_file: path of behaviors file</p>
@@ -2979,14 +3560,14 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news">
-<span class="sig-name descname"><span class="pre">init_news</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.init_news"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_news</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.init_news"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news" title="Link to this definition">#</a></dt>
 <dd><p>init news information given news file, such as news_title_index and nid2index.
 :param news_file: path of news file</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from news file and behavior file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3003,7 +3584,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict">
-<span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict" title="Link to this definition">#</a></dt>
 <dd><p>load pickle file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3020,7 +3601,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file">
-<span class="sig-name descname"><span class="pre">load_impression_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaivors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_impression_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_impression_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaivors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_impression_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse impression data from behaivors file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3034,7 +3615,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file">
-<span class="sig-name descname"><span class="pre">load_news_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_news_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_news_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_news_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse user data from news file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3048,7 +3629,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file">
-<span class="sig-name descname"><span class="pre">load_user_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_user_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_user_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.load_user_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse user data from news file and behavior file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3065,7 +3646,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_iterator.html#MINDIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one behavior sample into feature values.
 if npratio is larger than 0, return negtive sampled result.</p>
 <dl class="field-list simple">
@@ -3081,9 +3662,9 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.newsrec.io.mind_all_iterator"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.newsrec.io.mind_all_iterator">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.io.mind_all_iterator.</span></span><span class="sig-name descname"><span class="pre">MINDAllIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.io.mind_all_iterator.</span></span><span class="sig-name descname"><span class="pre">MINDAllIterator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator" title="Link to this definition">#</a></dt>
 <dd><p>Train data loader for NAML model.
 The model require a special type of data format, where each instance contains a label, impresion id, user id,
 the candidate news articles and user’s clicked news article. Articles are represented by title words,
@@ -3092,7 +3673,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 per mini-batch, so that large files can be used as input data.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter">
-<span class="sig-name descname"><span class="pre">col_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">col_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter" title="Link to this definition">#</a></dt>
 <dd><p>column spliter in one line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3103,7 +3684,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter">
-<span class="sig-name descname"><span class="pre">ID_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ID_spliter</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter" title="Link to this definition">#</a></dt>
 <dd><p>ID spliter in one line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3114,7 +3695,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size">
-<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size" title="Link to this definition">#</a></dt>
 <dd><p>the samples num in one batch.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3125,7 +3706,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size">
-<span class="sig-name descname"><span class="pre">title_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">title_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size" title="Link to this definition">#</a></dt>
 <dd><p>max word num in news title.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3136,7 +3717,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size">
-<span class="sig-name descname"><span class="pre">body_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">body_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size" title="Link to this definition">#</a></dt>
 <dd><p>max word num in news body (abstract used in MIND).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3147,7 +3728,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size">
-<span class="sig-name descname"><span class="pre">his_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">his_size</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size" title="Link to this definition">#</a></dt>
 <dd><p>max clicked news num in user click history.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3158,7 +3739,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio">
-<span class="sig-name descname"><span class="pre">npratio</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">npratio</span></span><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio" title="Link to this definition">#</a></dt>
 <dd><p>negaive and positive ratio used in negative sampling. -1 means no need of negtive sampling.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3169,7 +3750,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'\t'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ID_spliter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'%'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize an iterator. Create necessary placeholders for the model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3185,7 +3766,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors">
-<span class="sig-name descname"><span class="pre">init_behaviors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.init_behaviors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_behaviors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaviors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.init_behaviors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors" title="Link to this definition">#</a></dt>
 <dd><p>Init behavior logs given behaviors file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3196,7 +3777,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news">
-<span class="sig-name descname"><span class="pre">init_news</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.init_news"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_news</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.init_news"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news" title="Link to this definition">#</a></dt>
 <dd><p>Init news information given news file, such as <cite>news_title_index</cite>, <cite>news_abstract_index</cite>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3207,7 +3788,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file">
-<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_data_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_data_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse data from a file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3224,7 +3805,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict">
-<span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict" title="Link to this definition">#</a></dt>
 <dd><p>Load pickled file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3241,7 +3822,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file">
-<span class="sig-name descname"><span class="pre">load_impression_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaivors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_impression_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_impression_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">behaivors_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_impression_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse impression data from behaivors file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3255,7 +3836,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file">
-<span class="sig-name descname"><span class="pre">load_news_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_news_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_news_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_news_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse user data from news file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3269,7 +3850,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file">
-<span class="sig-name descname"><span class="pre">load_user_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_user_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load_user_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">behavior_file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.load_user_from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file" title="Link to this definition">#</a></dt>
 <dd><p>Read and parse user data from news file and behavior file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3286,7 +3867,7 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line">
-<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parser_one_line</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">line</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/io/mind_all_iterator.html#MINDAllIterator.parser_one_line"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line" title="Link to this definition">#</a></dt>
 <dd><p>Parse one string line into feature values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3306,14 +3887,14 @@ <h3>Iterators<a class="headerlink" href="#id2" title="Permalink to this heading"
 
 </section>
 <section id="id3">
-<h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading">#</a></h3>
-<span class="target" id="module-recommenders.models.newsrec.models.layers"></span><dl class="py class">
+<h3>Utilities<a class="headerlink" href="#id3" title="Link to this heading">#</a></h3>
+<dl class="py class" id="module-recommenders.models.newsrec.models.layers">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">AttLayer2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">AttLayer2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2" title="Link to this definition">#</a></dt>
 <dd><p>Soft alignment attention implement.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.dim">
-<span class="sig-name descname"><span class="pre">dim</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.dim" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">dim</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.dim" title="Link to this definition">#</a></dt>
 <dd><p>attention hidden dim</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3324,7 +3905,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for AttLayer2.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3335,7 +3916,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.build" title="Link to this definition">#</a></dt>
 <dd><p>Initialization for variables in AttLayer2
 There are there variables in AttLayer2, i.e. W, b and q.</p>
 <dl class="field-list simple">
@@ -3347,7 +3928,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.call" title="Link to this definition">#</a></dt>
 <dd><p>Core implementation of soft attention.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3364,7 +3945,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.compute_mask">
-<span class="sig-name descname"><span class="pre">compute_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.compute_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.compute_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask" title="Link to this definition">#</a></dt>
 <dd><p>Compte output mask value.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3384,7 +3965,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape">
-<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#AttLayer2.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape" title="Link to this definition">#</a></dt>
 <dd><p>Compute shape of output tensor.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3403,7 +3984,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.ComputeMasking">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">ComputeMasking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">ComputeMasking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking" title="Link to this definition">#</a></dt>
 <dd><p>Compute if inputs contains zero value.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -3415,7 +3996,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.ComputeMasking.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking.call" title="Link to this definition">#</a></dt>
 <dd><p>Call method for ComputeMasking.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3432,7 +4013,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape">
-<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#ComputeMasking.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape" title="Link to this definition">#</a></dt>
 <dd><p>Computes the output shape of the layer.</p>
 <p>This method will cause the layer’s state to be built, if that has not
 happened before. This requires that the layer will later be used with
@@ -3454,7 +4035,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.OverwriteMasking">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">OverwriteMasking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">OverwriteMasking</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking" title="Link to this definition">#</a></dt>
 <dd><p>Set values at specific positions to zero.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3469,7 +4050,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.OverwriteMasking.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.build" title="Link to this definition">#</a></dt>
 <dd><p>Creates the variables of the layer (optional, for subclass implementers).</p>
 <p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
 can override if they need a state-creation step in-between
@@ -3488,7 +4069,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.OverwriteMasking.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.call" title="Link to this definition">#</a></dt>
 <dd><p>Call method for OverwriteMasking.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3505,7 +4086,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape">
-<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#OverwriteMasking.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape" title="Link to this definition">#</a></dt>
 <dd><p>Computes the output shape of the layer.</p>
 <p>This method will cause the layer’s state to be built, if that has not
 happened before. This requires that the layer will later be used with
@@ -3527,11 +4108,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">PersonalizedAttentivePooling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dim1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#PersonalizedAttentivePooling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">PersonalizedAttentivePooling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dim1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#PersonalizedAttentivePooling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling" title="Link to this definition">#</a></dt>
 <dd><p>Soft alignment attention implement.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.dim1">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim1</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim1" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim1</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim1" title="Link to this definition">#</a></dt>
 <dd><p>first dimention of value shape.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3542,7 +4123,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.dim2">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim2</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim2" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim2</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim2" title="Link to this definition">#</a></dt>
 <dd><p>second dimention of value shape.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3553,7 +4134,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.dim3">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim3</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim3" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">dim3</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.layers.dim3" title="Link to this definition">#</a></dt>
 <dd><p>shape of query</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3574,7 +4155,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">SelfAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.layers.</span></span><span class="sig-name descname"><span class="pre">SelfAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention" title="Link to this definition">#</a></dt>
 <dd><p>Multi-head self attention implement.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3593,7 +4174,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.Mask">
-<span class="sig-name descname"><span class="pre">Mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'add'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.Mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.Mask" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">Mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'add'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.Mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.Mask" title="Link to this definition">#</a></dt>
 <dd><p>Mask operation used in multi-head self attention</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3613,7 +4194,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">multiheads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">head_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_right</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">multiheads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">head_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_right</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for AttLayer2.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3628,7 +4209,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.build">
-<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.build" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.build" title="Link to this definition">#</a></dt>
 <dd><p>Initialization for variables in SelfAttention.
 There are three variables in SelfAttention, i.e. WQ, WK ans WV.
 WQ is used for linear transformation of query.
@@ -3643,7 +4224,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">QKVs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">QKVs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.call" title="Link to this definition">#</a></dt>
 <dd><p>Core logic of multi-head self attention.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3660,7 +4241,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape">
-<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.compute_output_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape" title="Link to this definition">#</a></dt>
 <dd><p>Compute shape of output tensor.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -3674,7 +4255,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.layers.SelfAttention.get_config">
-<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.get_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.get_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/layers.html#SelfAttention.get_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.layers.SelfAttention.get_config" title="Link to this definition">#</a></dt>
 <dd><p>add multiheads, multiheads and mask_right into layer config.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -3688,9 +4269,9 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.newsrec.newsrec_utils"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.models.newsrec.newsrec_utils">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.check_nn_config">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">check_nn_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#check_nn_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.check_nn_config" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">check_nn_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#check_nn_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.check_nn_config" title="Link to this definition">#</a></dt>
 <dd><p>Check neural networks configuration.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3704,7 +4285,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.check_type">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">check_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#check_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.check_type" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">check_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#check_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.check_type" title="Link to this definition">#</a></dt>
 <dd><p>Check that the config parameters are the correct type</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3718,7 +4299,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.create_hparams">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">create_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">flags</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#create_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.create_hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">create_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">flags</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#create_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.create_hparams" title="Link to this definition">#</a></dt>
 <dd><p>Create the model hyperparameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3735,7 +4316,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.get_mind_data_set">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">get_mind_data_set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">type</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#get_mind_data_set"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.get_mind_data_set" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">get_mind_data_set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">type</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#get_mind_data_set"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.get_mind_data_set" title="Link to this definition">#</a></dt>
 <dd><p>Get MIND dataset address</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3752,7 +4333,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.newsample">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">newsample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#newsample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.newsample" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">newsample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">news</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#newsample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.newsample" title="Link to this definition">#</a></dt>
 <dd><p>Sample ratio samples from news list.
 If length of news is less than ratio, pad zeros.</p>
 <dl class="field-list simple">
@@ -3773,7 +4354,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.prepare_hparams">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#prepare_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.prepare_hparams" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">prepare_hparams</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#prepare_hparams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.prepare_hparams" title="Link to this definition">#</a></dt>
 <dd><p>Prepare the model hyperparameters and check that all have the correct value.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -3790,7 +4371,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.newsrec_utils.word_tokenize">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">word_tokenize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#word_tokenize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.word_tokenize" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.newsrec_utils.</span></span><span class="sig-name descname"><span class="pre">word_tokenize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/newsrec_utils.html#word_tokenize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.newsrec_utils.word_tokenize" title="Link to this definition">#</a></dt>
 <dd><p>Split sentence into word list using regex.
 :param sent: Input sentence
 :type sent: str</p>
@@ -3807,16 +4388,16 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </section>
 </section>
 <section id="module-recommenders.models.newsrec.models.lstur">
-<span id="lstur"></span><h2>LSTUR<a class="headerlink" href="#module-recommenders.models.newsrec.models.lstur" title="Permalink to this heading">#</a></h2>
+<span id="lstur"></span><h2>LSTUR<a class="headerlink" href="#module-recommenders.models.newsrec.models.lstur" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.lstur.LSTURModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.lstur.</span></span><span class="sig-name descname"><span class="pre">LSTURModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/lstur.html#LSTURModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.lstur.</span></span><span class="sig-name descname"><span class="pre">LSTURModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/lstur.html#LSTURModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel" title="Link to this definition">#</a></dt>
 <dd><p>LSTUR model(Neural News Recommendation with Multi-Head Self-Attention)</p>
 <p>Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie:
 Neural News Recommendation with Long- and Short-term User Representations, ACL 2019</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding">
-<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Pretrained word embedding matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3827,7 +4408,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.lstur.LSTURModel.hparam">
-<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.hparam" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.hparam" title="Link to this definition">#</a></dt>
 <dd><p>Global hyper-parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3838,7 +4419,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.lstur.LSTURModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/lstur.html#LSTURModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/lstur.html#LSTURModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.lstur.LSTURModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for LSTUR.
 Compared with the BaseModel, LSTUR need word embedding.
 After creating word embedding matrix, BaseModel’s __init__ method will be called.</p>
@@ -3857,16 +4438,16 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.newsrec.models.naml">
-<span id="naml"></span><h2>NAML<a class="headerlink" href="#module-recommenders.models.newsrec.models.naml" title="Permalink to this heading">#</a></h2>
+<span id="naml"></span><h2>NAML<a class="headerlink" href="#module-recommenders.models.newsrec.models.naml" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.naml.NAMLModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.naml.</span></span><span class="sig-name descname"><span class="pre">NAMLModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/naml.html#NAMLModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.naml.</span></span><span class="sig-name descname"><span class="pre">NAMLModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/naml.html#NAMLModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel" title="Link to this definition">#</a></dt>
 <dd><p>NAML model(Neural News Recommendation with Attentive Multi-View Learning)</p>
 <p>Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie,
 Neural News Recommendation with Attentive Multi-View Learning, IJCAI 2019</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding">
-<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Pretrained word embedding matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3877,7 +4458,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.naml.NAMLModel.hparam">
-<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.hparam" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.hparam" title="Link to this definition">#</a></dt>
 <dd><p>Global hyper-parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3888,7 +4469,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.naml.NAMLModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/naml.html#NAMLModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/naml.html#NAMLModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.naml.NAMLModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for NAML.
 Compared with the BaseModel, NAML need word embedding.
 After creating word embedding matrix, BaseModel’s __init__ method will be called.</p>
@@ -3907,16 +4488,16 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.newsrec.models.npa">
-<span id="npa"></span><h2>NPA<a class="headerlink" href="#module-recommenders.models.newsrec.models.npa" title="Permalink to this heading">#</a></h2>
+<span id="npa"></span><h2>NPA<a class="headerlink" href="#module-recommenders.models.newsrec.models.npa" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.npa.NPAModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.npa.</span></span><span class="sig-name descname"><span class="pre">NPAModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/npa.html#NPAModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.npa.</span></span><span class="sig-name descname"><span class="pre">NPAModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/npa.html#NPAModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel" title="Link to this definition">#</a></dt>
 <dd><p>NPA model(Neural News Recommendation with Attentive Multi-View Learning)</p>
 <p>Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie:
 NPA: Neural News Recommendation with Personalized Attention, KDD 2019, ADS track.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding">
-<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Pretrained word embedding matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3927,7 +4508,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.npa.NPAModel.hparam">
-<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.hparam" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.hparam" title="Link to this definition">#</a></dt>
 <dd><p>Global hyper-parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3938,7 +4519,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.npa.NPAModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/npa.html#NPAModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/npa.html#NPAModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.npa.NPAModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for MANL.
 Compared with the BaseModel, NPA need word embedding.
 After creating word embedding matrix, BaseModel’s __init__ method will be called.</p>
@@ -3957,10 +4538,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.newsrec.models.nrms">
-<span id="nrms"></span><h2>NRMS<a class="headerlink" href="#module-recommenders.models.newsrec.models.nrms" title="Permalink to this heading">#</a></h2>
+<span id="nrms"></span><h2>NRMS<a class="headerlink" href="#module-recommenders.models.newsrec.models.nrms" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.nrms.NRMSModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.nrms.</span></span><span class="sig-name descname"><span class="pre">NRMSModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/nrms.html#NRMSModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.newsrec.models.nrms.</span></span><span class="sig-name descname"><span class="pre">NRMSModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/nrms.html#NRMSModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel" title="Link to this definition">#</a></dt>
 <dd><p>NRMS model(Neural News Recommendation with Multi-Head Self-Attention)</p>
 <p>Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang,and Xing Xie, “Neural News
 Recommendation with Multi-Head Self-Attention” in Proceedings of the 2019 Conference
@@ -3968,7 +4549,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 on Natural Language Processing (EMNLP-IJCNLP)</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding">
-<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">word2vec_embedding</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding" title="Link to this definition">#</a></dt>
 <dd><p>Pretrained word embedding matrix.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3979,7 +4560,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.nrms.NRMSModel.hparam">
-<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.hparam" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">hparam</span></span><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.hparam" title="Link to this definition">#</a></dt>
 <dd><p>Global hyper-parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -3990,7 +4571,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.newsrec.models.nrms.NRMSModel.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/nrms.html#NRMSModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hparams</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterator_creator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/newsrec/models/nrms.html#NRMSModel.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.newsrec.models.nrms.NRMSModel.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialization steps for NRMS.
 Compared with the BaseModel, NRMS need word embedding.
 After creating word embedding matrix, BaseModel’s __init__ method will be called.</p>
@@ -4009,14 +4590,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.rbm.rbm">
-<span id="rbm"></span><h2>RBM<a class="headerlink" href="#module-recommenders.models.rbm.rbm" title="Permalink to this heading">#</a></h2>
+<span id="rbm"></span><h2>RBM<a class="headerlink" href="#module-recommenders.models.rbm.rbm" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.rbm.rbm.</span></span><span class="sig-name descname"><span class="pre">RBM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">possible_ratings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">visible_units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_stdv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.004</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minibatch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_protocol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[50,</span> <span class="pre">70,</span> <span class="pre">80,</span> <span class="pre">90,</span> <span class="pre">100]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.rbm.rbm.</span></span><span class="sig-name descname"><span class="pre">RBM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">possible_ratings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">visible_units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_stdv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.004</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minibatch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_protocol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[50,</span> <span class="pre">70,</span> <span class="pre">80,</span> <span class="pre">90,</span> <span class="pre">100]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM" title="Link to this definition">#</a></dt>
 <dd><p>Restricted  Boltzmann Machine</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">possible_ratings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">visible_units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_stdv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.004</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minibatch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_protocol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[50,</span> <span class="pre">70,</span> <span class="pre">80,</span> <span class="pre">90,</span> <span class="pre">100]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">possible_ratings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">visible_units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_stdv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.004</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minibatch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_protocol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[50,</span> <span class="pre">70,</span> <span class="pre">80,</span> <span class="pre">90,</span> <span class="pre">100]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Implementation of a multinomial Restricted Boltzmann Machine for collaborative filtering
 in numpy/pandas/tensorflow</p>
 <p>Based on the article by Ruslan Salakhutdinov, Andriy Mnih and Geoffrey Hinton
@@ -4051,7 +4632,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.batch_training">
-<span class="sig-name descname"><span class="pre">batch_training</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_minibatches</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.batch_training"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.batch_training" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">batch_training</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_minibatches</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.batch_training"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.batch_training" title="Link to this definition">#</a></dt>
 <dd><p>Perform training over input minibatches. If <cite>self.with_metrics</cite> is False,
 no online metrics are evaluated.</p>
 <dl class="field-list simple">
@@ -4069,7 +4650,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.binomial_sampling">
-<span class="sig-name descname"><span class="pre">binomial_sampling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.binomial_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.binomial_sampling" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">binomial_sampling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.binomial_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.binomial_sampling" title="Link to this definition">#</a></dt>
 <dd><p>Binomial sampling of hidden units activations using a rejection method.</p>
 <p>Basic mechanics:</p>
 <p>1) Extract a random number from a uniform distribution (g) and compare it with
@@ -4094,19 +4675,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.data_pipeline">
-<span class="sig-name descname"><span class="pre">data_pipeline</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.data_pipeline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.data_pipeline" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">data_pipeline</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.data_pipeline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.data_pipeline" title="Link to this definition">#</a></dt>
 <dd><p>Define the data pipeline</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.eval_out">
-<span class="sig-name descname"><span class="pre">eval_out</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.eval_out"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.eval_out" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">eval_out</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.eval_out"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.eval_out" title="Link to this definition">#</a></dt>
 <dd><p>Implement multinomial sampling from a trained model</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xtr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xtr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit method</p>
 <p>Training in generative models takes place in two steps:</p>
 <ol class="arabic simple">
@@ -4130,7 +4711,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.free_energy">
-<span class="sig-name descname"><span class="pre">free_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.free_energy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.free_energy" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">free_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.free_energy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.free_energy" title="Link to this definition">#</a></dt>
 <dd><p>Free energy of the visible units given the hidden units. Since the sum is over the hidden units’
 states, the functional form of the visible units Free energy is the same as the one for the binary model.</p>
 <dl class="field-list simple">
@@ -4148,13 +4729,13 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.generate_graph">
-<span class="sig-name descname"><span class="pre">generate_graph</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.generate_graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.generate_graph" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">generate_graph</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.generate_graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.generate_graph" title="Link to this definition">#</a></dt>
 <dd><p>Call the different RBM modules to generate the computational graph</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.gibbs_protocol">
-<span class="sig-name descname"><span class="pre">gibbs_protocol</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.gibbs_protocol"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.gibbs_protocol" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gibbs_protocol</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.gibbs_protocol"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.gibbs_protocol" title="Link to this definition">#</a></dt>
 <dd><p>Gibbs protocol.</p>
 <p>Basic mechanics:</p>
 <p>If the current epoch i is in the interval specified in the training protocol,
@@ -4169,7 +4750,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.gibbs_sampling">
-<span class="sig-name descname"><span class="pre">gibbs_sampling</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.gibbs_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.gibbs_sampling" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">gibbs_sampling</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.gibbs_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.gibbs_sampling" title="Link to this definition">#</a></dt>
 <dd><p>Gibbs sampling: Determines an estimate of the model configuration via sampling. In the binary
 RBM we need to impose that unseen movies stay as such, i.e. the sampling phase should not modify
 the elements where v=0.</p>
@@ -4195,19 +4776,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.init_gpu">
-<span class="sig-name descname"><span class="pre">init_gpu</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_gpu"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_gpu" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_gpu</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_gpu"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_gpu" title="Link to this definition">#</a></dt>
 <dd><p>Config GPU memory</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.init_metrics">
-<span class="sig-name descname"><span class="pre">init_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_metrics" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_metrics" title="Link to this definition">#</a></dt>
 <dd><p>Initialize metrics</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.init_parameters">
-<span class="sig-name descname"><span class="pre">init_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_parameters"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_parameters" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_parameters"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_parameters" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the parameters of the model.</p>
 <p>This is a single layer model with two biases. So we have a rectangular matrix w_{ij} and
 two bias vectors to initialize.</p>
@@ -4234,7 +4815,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.init_training_session">
-<span class="sig-name descname"><span class="pre">init_training_session</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xtr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_training_session"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_training_session" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">init_training_session</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xtr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.init_training_session"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.init_training_session" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the TF session on training data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4245,7 +4826,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.load">
-<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./rbm_model.ckpt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.load" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./rbm_model.ckpt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.load" title="Link to this definition">#</a></dt>
 <dd><p>Load model parameters for further use.</p>
 <p>This function loads a saved tensorflow session.</p>
 <dl class="field-list simple">
@@ -4257,7 +4838,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.losses">
-<span class="sig-name descname"><span class="pre">losses</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vv</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.losses"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.losses" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">losses</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vv</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.losses"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.losses" title="Link to this definition">#</a></dt>
 <dd><p>Calculate contrastive divergence, which is the difference between
 the free energy clamped on the data (v) and the model Free energy (v_k).</p>
 <dl class="field-list simple">
@@ -4275,7 +4856,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.multinomial_distribution">
-<span class="sig-name descname"><span class="pre">multinomial_distribution</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">phi</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.multinomial_distribution"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.multinomial_distribution" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">multinomial_distribution</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">phi</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.multinomial_distribution"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.multinomial_distribution" title="Link to this definition">#</a></dt>
 <dd><p>Probability that unit v has value l given phi: P(v=l|phi)</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4298,7 +4879,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.multinomial_sampling">
-<span class="sig-name descname"><span class="pre">multinomial_sampling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.multinomial_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.multinomial_sampling" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">multinomial_sampling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.multinomial_sampling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.multinomial_sampling" title="Link to this definition">#</a></dt>
 <dd><p>Multinomial Sampling of ratings</p>
 <p>Basic mechanics:
 For r classes, we sample r binomial distributions using the rejection method. This is possible
@@ -4328,13 +4909,13 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.placeholder">
-<span class="sig-name descname"><span class="pre">placeholder</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.placeholder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.placeholder" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">placeholder</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.placeholder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.placeholder" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the placeholders for the visible units</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.predict" title="Link to this definition">#</a></dt>
 <dd><p>Returns the inferred ratings. This method is similar to recommend_k_items() with the
 exceptions that it returns all the inferred ratings</p>
 <p>Basic mechanics:</p>
@@ -4346,7 +4927,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>x</strong> (<em>numpy.ndarray</em><em>, </em><em>int32</em>) – Input user/affinity matrix. Note that this can be a single vector, i.e.</p></li>
-<li><p><strong>user.</strong> (<em>the ratings of a single</em>) – </p></li>
+<li><p><strong>user.</strong> (<em>the ratings</em><em> of </em><em>a single</em>) – </p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -4364,7 +4945,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.</p>
 <p>Basic mechanics:</p>
 <p>The method samples new ratings from the learned joint distribution, together with their
@@ -4401,7 +4982,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.sample_hidden_units">
-<span class="sig-name descname"><span class="pre">sample_hidden_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vv</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.sample_hidden_units"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.sample_hidden_units" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">sample_hidden_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vv</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.sample_hidden_units"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.sample_hidden_units" title="Link to this definition">#</a></dt>
 <dd><p>Sampling: In RBM we use Contrastive divergence to sample the parameter space. In order to do that we need
 to initialize the two conditional probabilities:</p>
 <p>P(h|phi_v) –&gt; returns the probability that the i-th hidden unit is active</p>
@@ -4426,7 +5007,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.sample_visible_units">
-<span class="sig-name descname"><span class="pre">sample_visible_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.sample_visible_units"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.sample_visible_units" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">sample_visible_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.sample_visible_units"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.sample_visible_units" title="Link to this definition">#</a></dt>
 <dd><p>Sample the visible units given the hiddens. This can be thought of as a Backward pass in a FFN
 (negative phase). Each visible unit can take values in [1,rating], while the zero is reserved
 for missing data; as such the value of the hidden unit is sampled from a multinomial distribution.</p>
@@ -4457,7 +5038,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.rbm.rbm.RBM.save">
-<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./rbm_model.ckpt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.save" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./rbm_model.ckpt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/rbm/rbm.html#RBM.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.rbm.rbm.RBM.save" title="Link to this definition">#</a></dt>
 <dd><p>Save model parameters to <cite>file_path</cite></p>
 <p>This function saves the current tensorflow session to a specified path.</p>
 <dl class="field-list simple">
@@ -4472,10 +5053,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.sar.sar_singlenode">
-<span id="sar"></span><h2>SAR<a class="headerlink" href="#module-recommenders.models.sar.sar_singlenode" title="Permalink to this heading">#</a></h2>
+<span id="sar"></span><h2>SAR<a class="headerlink" href="#module-recommenders.models.sar.sar_singlenode" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sar.sar_singlenode.</span></span><span class="sig-name descname"><span class="pre">SARSingleNode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jaccard'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_decay_coefficient</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_now</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timedecay_formula</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sar.sar_singlenode.</span></span><span class="sig-name descname"><span class="pre">SARSingleNode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jaccard'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_decay_coefficient</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_now</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timedecay_formula</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode" title="Link to this definition">#</a></dt>
 <dd><p>Simple Algorithm for Recommendations (SAR) implementation</p>
 <p>SAR is a fast scalable adaptive algorithm for personalized recommendations based on user transaction history
 and items description. The core idea behind SAR is to recommend items like those that a user already has
@@ -4483,7 +5064,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 similarity across items, and then 3) combining the estimates to generate a set of recommendations for a given user.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jaccard'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_decay_coefficient</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_now</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timedecay_formula</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jaccard'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_decay_coefficient</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_now</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timedecay_formula</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize model parameters</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4508,7 +5089,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix">
-<span class="sig-name descname"><span class="pre">compute_affinity_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_col</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_affinity_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_affinity_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rating_col</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_affinity_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_affinity_matrix" title="Link to this definition">#</a></dt>
 <dd><p>Affinity matrix.</p>
 <p>The user-affinity matrix can be constructed by treating the users and items as
 indices in a sparse matrix, and the events as the data. Here, we’re treating
@@ -4532,7 +5113,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix">
-<span class="sig-name descname"><span class="pre">compute_cooccurrence_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_cooccurrence_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_cooccurrence_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_cooccurrence_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix" title="Link to this definition">#</a></dt>
 <dd><p>Co-occurrence matrix.</p>
 <p>The co-occurrence matrix is defined as <span class="math notranslate nohighlight">\(C = U^T * U\)</span></p>
 <p>where U is the user_affinity matrix with 1’s as values (instead of ratings).</p>
@@ -4551,7 +5132,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay">
-<span class="sig-name descname"><span class="pre">compute_time_decay</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay_column</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_time_decay"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">compute_time_decay</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay_column</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.compute_time_decay"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay" title="Link to this definition">#</a></dt>
 <dd><p>Compute time decay on provided column.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4571,7 +5152,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.fit" title="Link to this definition">#</a></dt>
 <dd><p>Main fit method for SAR.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -4586,7 +5167,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk">
-<span class="sig-name descname"><span class="pre">get_item_based_topk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_item_based_topk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_item_based_topk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_item_based_topk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk" title="Link to this definition">#</a></dt>
 <dd><p>Get top K similar items to provided seed items based on similarity metric defined.
 This method will take a set of items and use them to recommend the most similar items to that set
 based on the similarity matrix fit during training.
@@ -4615,7 +5196,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk">
-<span class="sig-name descname"><span class="pre">get_popularity_based_topk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_popularity_based_topk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_popularity_based_topk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_popularity_based_topk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk" title="Link to this definition">#</a></dt>
 <dd><p>Get top K most frequently occurring items across all users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4636,7 +5217,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users">
-<span class="sig-name descname"><span class="pre">get_topk_most_similar_users</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_topk_most_similar_users"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_topk_most_similar_users</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.get_topk_most_similar_users"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users" title="Link to this definition">#</a></dt>
 <dd><p>Based on user affinity towards items, calculate the most similar users to the given user.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4657,7 +5238,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.predict" title="Link to this definition">#</a></dt>
 <dd><p>Output SAR scores for only the users-items pairs which are in the test set</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4674,7 +5255,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Recommend top K items for all users which are in the test set</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4696,7 +5277,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.score">
-<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">test</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.score" title="Link to this definition">#</a></dt>
 <dd><p>Score all items for test users.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4716,7 +5297,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sar.sar_singlenode.SARSingleNode.set_index">
-<span class="sig-name descname"><span class="pre">set_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.set_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">set_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sar/sar_singlenode.html#SARSingleNode.set_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index" title="Link to this definition">#</a></dt>
 <dd><p>Generate continuous indices for users and items to reduce memory usage.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4729,14 +5310,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.sasrec.model">
-<span id="sasrec"></span><h2>SASRec<a class="headerlink" href="#module-recommenders.models.sasrec.model" title="Permalink to this heading">#</a></h2>
+<span id="sasrec"></span><h2>SASRec<a class="headerlink" href="#module-recommenders.models.sasrec.model" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.Encoder">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">Encoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">Encoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder" title="Link to this definition">#</a></dt>
 <dd><p>Invokes Transformer based encoder with user defined number of layers</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.Encoder.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4755,7 +5336,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.Encoder.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#Encoder.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.Encoder.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4778,11 +5359,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.EncoderLayer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">EncoderLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">EncoderLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer" title="Link to this definition">#</a></dt>
 <dd><p>Transformer based encoder layer</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.EncoderLayer.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4800,7 +5381,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.EncoderLayer.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4821,7 +5402,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.EncoderLayer.call_">
-<span class="sig-name descname"><span class="pre">call_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.call_"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.call_" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#EncoderLayer.call_"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.EncoderLayer.call_" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4844,12 +5425,12 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.LayerNormalization">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">LayerNormalization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">LayerNormalization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization" title="Link to this definition">#</a></dt>
 <dd><p>Layer normalization using mean and variance
 gamma and beta are the learnable parameters</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.LayerNormalization.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seq_max_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4864,7 +5445,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.LayerNormalization.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#LayerNormalization.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.LayerNormalization.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4883,7 +5464,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.MultiHeadAttention">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">MultiHeadAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">MultiHeadAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention" title="Link to this definition">#</a></dt>
 <dd><ul class="simple">
 <li><p>Q (query), K (key) and V (value) are split into multiple heads (num_heads)</p></li>
 <li><p>each tuple (q, k, v) are fed to scaled_dot_product_attention</p></li>
@@ -4891,7 +5472,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </ul>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.MultiHeadAttention.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attention_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4906,7 +5487,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.MultiHeadAttention.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">queries</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">queries</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keys</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#MultiHeadAttention.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.MultiHeadAttention.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4928,11 +5509,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.PointWiseFeedForward">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">PointWiseFeedForward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">PointWiseFeedForward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward" title="Link to this definition">#</a></dt>
 <dd><p>Convolution layers with residual connection</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.PointWiseFeedForward.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conv_dims</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dropout_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4946,7 +5527,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.PointWiseFeedForward.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#PointWiseFeedForward.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.PointWiseFeedForward.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -4965,7 +5546,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">SASREC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.model.</span></span><span class="sig-name descname"><span class="pre">SASREC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC" title="Link to this definition">#</a></dt>
 <dd><p>SAS Rec model
 Self-Attentive Sequential Recommendation Using Transformer</p>
 <dl class="field-list">
@@ -4979,7 +5560,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Model initialization.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5000,7 +5581,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5025,14 +5606,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.create_combined_dataset">
-<span class="sig-name descname"><span class="pre">create_combined_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">u</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.create_combined_dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.create_combined_dataset" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">create_combined_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">u</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seq</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.create_combined_dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.create_combined_dataset" title="Link to this definition">#</a></dt>
 <dd><p>function to create model inputs from sampled batch data.
 This function is used only during training.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.embedding">
-<span class="sig-name descname"><span class="pre">embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_seq</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.embedding" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_seq</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.embedding" title="Link to this definition">#</a></dt>
 <dd><p>Compute the sequence and positional embeddings.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5053,19 +5634,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.evaluate">
-<span class="sig-name descname"><span class="pre">evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.evaluate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.evaluate" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.evaluate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.evaluate" title="Link to this definition">#</a></dt>
 <dd><p>Evaluation on the test users (users with at least 3 items)</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.evaluate_valid">
-<span class="sig-name descname"><span class="pre">evaluate_valid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.evaluate_valid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.evaluate_valid" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">evaluate_valid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.evaluate_valid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.evaluate_valid" title="Link to this definition">#</a></dt>
 <dd><p>Evaluation on the validation users</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.loss_function">
-<span class="sig-name descname"><span class="pre">loss_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">istarget</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.loss_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.loss_function" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">loss_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">istarget</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.loss_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.loss_function" title="Link to this definition">#</a></dt>
 <dd><p>Losses are calculated separately for the positive and negative
 items based on the corresponding logits. A mask is included to
 take care of the zero items (added for padding).</p>
@@ -5088,7 +5669,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.predict" title="Link to this definition">#</a></dt>
 <dd><p>Returns the logits for the test items.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5105,38 +5686,38 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.model.SASREC.train">
-<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.train" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/model.html#SASREC.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.model.SASREC.train" title="Link to this definition">#</a></dt>
 <dd><p>High level function for model training as well as
 evaluation on the validation and test dataset</p>
 </dd></dl>
 
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.sasrec.sampler"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.sasrec.sampler">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.sampler.</span></span><span class="sig-name descname"><span class="pre">WarpSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">User</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#WarpSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.sampler.</span></span><span class="sig-name descname"><span class="pre">WarpSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">User</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#WarpSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler" title="Link to this definition">#</a></dt>
 <dd><p>Sampler object that creates an iterator for feeding batch data while training.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.User">
-<span class="sig-name descname"><span class="pre">User</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.User" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">User</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.User" title="Link to this definition">#</a></dt>
 <dd><p>dict, all the users (keys) with items as values</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.usernum">
-<span class="sig-name descname"><span class="pre">usernum</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.usernum" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">usernum</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.usernum" title="Link to this definition">#</a></dt>
 <dd><p>integer, total number of users</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.itemnum">
-<span class="sig-name descname"><span class="pre">itemnum</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.itemnum" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">itemnum</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.itemnum" title="Link to this definition">#</a></dt>
 <dd><p>integer, total number of items</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.batch_size">
-<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.batch_size" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.batch_size" title="Link to this definition">#</a></dt>
 <dd><p>batch size</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -5147,7 +5728,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.maxlen">
-<span class="sig-name descname"><span class="pre">maxlen</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.maxlen" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">maxlen</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.maxlen" title="Link to this definition">#</a></dt>
 <dd><p>maximum input sequence length</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -5158,7 +5739,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.n_workers">
-<span class="sig-name descname"><span class="pre">n_workers</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.n_workers" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">n_workers</span></span><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.n_workers" title="Link to this definition">#</a></dt>
 <dd><p>number of workers for parallel execution</p>
 <dl class="field-list simple">
 <dt class="field-odd">Type<span class="colon">:</span></dt>
@@ -5169,14 +5750,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.WarpSampler.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">User</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#WarpSampler.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">User</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#WarpSampler.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.WarpSampler.__init__" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.sampler.sample_function">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.sampler.</span></span><span class="sig-name descname"><span class="pre">sample_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">result_queue</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#sample_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.sample_function" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.sampler.</span></span><span class="sig-name descname"><span class="pre">sample_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usernum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemnum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxlen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">result_queue</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/sampler.html#sample_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.sampler.sample_function" title="Link to this definition">#</a></dt>
 <dd><p>Batch sampler that creates a sequence of negative items based on the
 original sequence of items (positive) that the user has interacted with.</p>
 <dl class="field-list simple">
@@ -5194,62 +5775,62 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 </dd></dl>
 
-<span class="target" id="module-recommenders.models.sasrec.util"></span><dl class="py class">
+<dl class="py class" id="module-recommenders.models.sasrec.util">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.util.</span></span><span class="sig-name descname"><span class="pre">SASRecDataSet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/util.html#SASRecDataSet"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.util.</span></span><span class="sig-name descname"><span class="pre">SASRecDataSet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/util.html#SASRecDataSet"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet" title="Link to this definition">#</a></dt>
 <dd><p>A class for creating SASRec specific dataset used during
 train, validation and testing.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.usernum">
-<span class="sig-name descname"><span class="pre">usernum</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.usernum" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">usernum</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.usernum" title="Link to this definition">#</a></dt>
 <dd><p>integer, total number of users</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.itemnum">
-<span class="sig-name descname"><span class="pre">itemnum</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.itemnum" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">itemnum</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.itemnum" title="Link to this definition">#</a></dt>
 <dd><p>integer, total number of items</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.User">
-<span class="sig-name descname"><span class="pre">User</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.User" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">User</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.User" title="Link to this definition">#</a></dt>
 <dd><p>dict, all the users (keys) with items as values</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.Items">
-<span class="sig-name descname"><span class="pre">Items</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.Items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">Items</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.Items" title="Link to this definition">#</a></dt>
 <dd><p>set of all the items</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.user_train">
-<span class="sig-name descname"><span class="pre">user_train</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_train" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_train</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_train" title="Link to this definition">#</a></dt>
 <dd><p>dict, subset of User that are used for training</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.user_valid">
-<span class="sig-name descname"><span class="pre">user_valid</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_valid" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_valid</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_valid" title="Link to this definition">#</a></dt>
 <dd><p>dict, subset of User that are used for validation</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.user_test">
-<span class="sig-name descname"><span class="pre">user_test</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_test" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">user_test</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.user_test" title="Link to this definition">#</a></dt>
 <dd><p>dict, subset of User that are used for testing</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.col_sep">
-<span class="sig-name descname"><span class="pre">col_sep</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.col_sep" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">col_sep</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.col_sep" title="Link to this definition">#</a></dt>
 <dd><p>column separator in the data file</p>
 </dd></dl>
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.util.SASRecDataSet.filename">
-<span class="sig-name descname"><span class="pre">filename</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.filename" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">filename</span></span><a class="headerlink" href="#recommenders.models.sasrec.util.SASRecDataSet.filename" title="Link to this definition">#</a></dt>
 <dd><p>data filename</p>
 </dd></dl>
 
@@ -5257,10 +5838,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.sasrec.ssept">
-<span id="sse-pt"></span><h2>SSE-PT<a class="headerlink" href="#module-recommenders.models.sasrec.ssept" title="Permalink to this heading">#</a></h2>
+<span id="sse-pt"></span><h2>SSE-PT<a class="headerlink" href="#module-recommenders.models.sasrec.ssept" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.ssept.</span></span><span class="sig-name descname"><span class="pre">SSEPT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.sasrec.ssept.</span></span><span class="sig-name descname"><span class="pre">SSEPT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT" title="Link to this definition">#</a></dt>
 <dd><p>SSE-PT Model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -5272,7 +5853,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 TF 2.x codebase (SASREc): <a class="github reference external" href="https://github.com/nnkkmto/SASRec-tf2">nnkkmto/SASRec-tf2</a></p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Model initialization.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5296,7 +5877,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.call"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.call" title="Link to this definition">#</a></dt>
 <dd><p>Model forward pass.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5321,7 +5902,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT.loss_function">
-<span class="sig-name descname"><span class="pre">loss_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">istarget</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.loss_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.loss_function" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">loss_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neg_logits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">istarget</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.loss_function"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.loss_function" title="Link to this definition">#</a></dt>
 <dd><p>Losses are calculated separately for the positive and negative
 items based on the corresponding logits. A mask is included to
 take care of the zero items (added for padding).</p>
@@ -5344,7 +5925,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.sasrec.ssept.SSEPT.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/sasrec/ssept.html#SSEPT.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.sasrec.ssept.SSEPT.predict" title="Link to this definition">#</a></dt>
 <dd><p>Model prediction for candidate (negative) items</p>
 </dd></dl>
 
@@ -5352,10 +5933,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.surprise.surprise_utils">
-<span id="surprise-utilities"></span><h2>Surprise utilities<a class="headerlink" href="#module-recommenders.models.surprise.surprise_utils" title="Permalink to this heading">#</a></h2>
+<span id="surprise-utilities"></span><h2>Surprise utilities<a class="headerlink" href="#module-recommenders.models.surprise.surprise_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.surprise.surprise_utils.compute_ranking_predictions">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">compute_ranking_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">algo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#compute_ranking_predictions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.compute_ranking_predictions" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">compute_ranking_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">algo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#compute_ranking_predictions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.compute_ranking_predictions" title="Link to this definition">#</a></dt>
 <dd><p>Computes predictions of an algorithm from Surprise on all users and items in data. It can be used for computing
 ranking metrics like NDCG.</p>
 <dl class="field-list simple">
@@ -5379,7 +5960,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.surprise.surprise_utils.predict">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">algo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">algo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">usercol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">itemcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predcol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.predict" title="Link to this definition">#</a></dt>
 <dd><p>Computes predictions of an algorithm from Surprise on the data. Can be used for computing rating metrics like RMSE.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5401,7 +5982,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.surprise.surprise_utils.surprise_trainset_to_df">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">surprise_trainset_to_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trainset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'iid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#surprise_trainset_to_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.surprise.surprise_utils.</span></span><span class="sig-name descname"><span class="pre">surprise_trainset_to_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trainset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'iid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/surprise/surprise_utils.html#surprise_trainset_to_df"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df" title="Link to this definition">#</a></dt>
 <dd><p>Converts a <cite>surprise.Trainset</cite> object to <cite>pandas.DataFrame</cite></p>
 <p>More info: <a class="reference external" href="https://surprise.readthedocs.io/en/stable/trainset.html">https://surprise.readthedocs.io/en/stable/trainset.html</a></p>
 <dl class="field-list simple">
@@ -5424,21 +6005,21 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.tfidf.tfidf_utils">
-<span id="tf-idf-utilities"></span><h2>TF-IDF utilities<a class="headerlink" href="#module-recommenders.models.tfidf.tfidf_utils" title="Permalink to this heading">#</a></h2>
+<span id="tf-idf-utilities"></span><h2>TF-IDF utilities<a class="headerlink" href="#module-recommenders.models.tfidf.tfidf_utils" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.tfidf.tfidf_utils.</span></span><span class="sig-name descname"><span class="pre">TfidfRecommender</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">id_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenization_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'scibert'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.tfidf.tfidf_utils.</span></span><span class="sig-name descname"><span class="pre">TfidfRecommender</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">id_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenization_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'scibert'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender" title="Link to this definition">#</a></dt>
 <dd><p>Term Frequency - Inverse Document Frequency (TF-IDF) Recommender</p>
 <p>This class provides content-based recommendations using TF-IDF vectorization in combination with cosine similarity.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe">
-<span class="sig-name descname"><span class="pre">clean_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols_to_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_col_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cleaned_text'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.clean_dataframe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">clean_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols_to_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_col_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cleaned_text'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.clean_dataframe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe" title="Link to this definition">#</a></dt>
 <dd><p>Clean the text within the columns of interest and return a dataframe with cleaned and combined text.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df</strong> (<em>pandas.DataFrame</em>) – Dataframe containing the text content to clean.</p></li>
-<li><p><strong>cols_to_clean</strong> (<em>list of str</em>) – List of columns to clean by name (e.g., [‘abstract’,’full_text’]).</p></li>
+<li><p><strong>cols_to_clean</strong> (<em>list</em><em> of </em><em>str</em>) – List of columns to clean by name (e.g., [‘abstract’,’full_text’]).</p></li>
 <li><p><strong>new_col_name</strong> (<em>str</em>) – Name of the new column that will contain the cleaned text.</p></li>
 </ul>
 </dd>
@@ -5453,7 +6034,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vectors_tokenized</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vectors_tokenized</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit TF-IDF vectorizer to the cleaned and tokenized text.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5467,7 +6048,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words">
-<span class="sig-name descname"><span class="pre">get_stop_words</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_stop_words"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_stop_words</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_stop_words"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words" title="Link to this definition">#</a></dt>
 <dd><p>Return the stop words excluded in the TF-IDF vectorizer.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -5481,7 +6062,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens">
-<span class="sig-name descname"><span class="pre">get_tokens</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_tokens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_tokens</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_tokens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens" title="Link to this definition">#</a></dt>
 <dd><p>Return the tokens generated by the TF-IDF vectorizer.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -5495,14 +6076,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations">
-<span class="sig-name descname"><span class="pre">get_top_k_recommendations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metadata</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols_to_keep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_top_k_recommendations"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_top_k_recommendations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metadata</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols_to_keep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.get_top_k_recommendations"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations" title="Link to this definition">#</a></dt>
 <dd><p>Return the top k recommendations with useful metadata for each recommendation.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>metadata</strong> (<em>pandas.DataFrame</em>) – Dataframe holding metadata for all public domain papers.</p></li>
 <li><p><strong>query_id</strong> (<em>str</em>) – ID of item of interest.</p></li>
-<li><p><strong>cols_to_keep</strong> (<em>list of str</em>) – List of columns from the metadata dataframe to include
+<li><p><strong>cols_to_keep</strong> (<em>list</em><em> of </em><em>str</em>) – List of columns from the metadata dataframe to include
 (e.g., [‘title’,’authors’,’journal’,’publish_time’,’url’]).
 By default, all columns are kept.</p></li>
 <li><p><strong>verbose</strong> (<em>boolean</em>) – Set to True if you want to print the table.</p></li>
@@ -5519,7 +6100,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items">
-<span class="sig-name descname"><span class="pre">recommend_top_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.recommend_top_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_top_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.recommend_top_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Recommend k number of items similar to the item of interest.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5539,7 +6120,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text">
-<span class="sig-name descname"><span class="pre">tokenize_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cleaned_text'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ngram_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">3)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.tokenize_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">tokenize_text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_clean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cleaned_text'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ngram_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">3)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_df</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/tfidf/tfidf_utils.html#TfidfRecommender.tokenize_text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text" title="Link to this definition">#</a></dt>
 <dd><p>Tokenize the input text.
 For more details on the TfidfVectorizer, see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html">https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html</a></p>
 <dl class="field-list simple">
@@ -5547,7 +6128,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>df_clean</strong> (<em>pandas.DataFrame</em>) – Dataframe with cleaned text in the new column.</p></li>
 <li><p><strong>text_col</strong> (<em>str</em>) – Name of column containing the cleaned text.</p></li>
-<li><p><strong>ngram_range</strong> (<em>tuple of int</em>) – The lower and upper boundary of the range of n-values for different n-grams to be extracted.</p></li>
+<li><p><strong>ngram_range</strong> (<em>tuple</em><em> of </em><em>int</em>) – The lower and upper boundary of the range of n-values for different n-grams to be extracted.</p></li>
 <li><p><strong>min_df</strong> (<em>int</em>) – When building the vocabulary ignore terms that have a document frequency strictly lower than the given threshold.</p></li>
 </ul>
 </dd>
@@ -5568,15 +6149,15 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.vae.standard_vae">
-<span id="standard-vae"></span><h2>Standard VAE<a class="headerlink" href="#module-recommenders.models.vae.standard_vae" title="Permalink to this heading">#</a></h2>
+<span id="standard-vae"></span><h2>Standard VAE<a class="headerlink" href="#module-recommenders.models.vae.standard_vae" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">AnnealingCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">AnnealingCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback" title="Link to this definition">#</a></dt>
 <dd><p>This class is used for updating the value of β during the annealing process.
 When β reaches the value of anneal_cap, it stops increasing.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5591,25 +6172,25 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.get_data">
-<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.get_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.get_data" title="Link to this definition">#</a></dt>
 <dd><p>Returns a list of the beta values per epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end">
-<span class="sig-name descname"><span class="pre">on_batch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_batch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_batch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_batch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each batch the beta should is updated until it reaches the values of anneal cap.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each epoch save the value of beta in _beta list.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#AnnealingCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise a list in which the beta value will be saved at the end of each epoch.</p>
 </dd></dl>
 
@@ -5617,17 +6198,17 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.LossHistory">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">LossHistory</span></span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">LossHistory</span></span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory" title="Link to this definition">#</a></dt>
 <dd><p>This class is used for saving the validation loss and the training loss per epoch.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.LossHistory.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>Save the loss of training and validation set at the end of each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.LossHistory.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#LossHistory.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.LossHistory.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise the lists where the loss of training and validation will be saved.</p>
 </dd></dl>
 
@@ -5635,12 +6216,12 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">Metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">Metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics" title="Link to this definition">#</a></dt>
 <dd><p>Callback function used to calculate the NDCG&#64;k metric of validation set at the end of each epoch.
 Weights of the model with the highest NDCG&#64;k value is saved.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the class parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5658,14 +6239,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.get_data">
-<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.get_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.get_data" title="Link to this definition">#</a></dt>
 <dd><p>Returns a list of the NDCG&#64;k of the validation set metrics calculated
 at the end of each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each epoch calculate NDCG&#64;k of the validation set.
 If the model performance is improved, the model weights are saved.
 Update the list of validation NDCG&#64;k by adding obtained value.</p>
@@ -5673,13 +6254,13 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise the list for validation NDCG&#64;k.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.Metrics.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#Metrics.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.Metrics.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.
 Obtained probabilities are used as recommendation score.</p>
 <dl class="field-list simple">
@@ -5702,11 +6283,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">StandardVAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.standard_vae.</span></span><span class="sig-name descname"><span class="pre">StandardVAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE" title="Link to this definition">#</a></dt>
 <dd><p>Standard Variational Autoencoders (VAE) for Collaborative Filtering implementation.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize class parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5735,7 +6316,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.display_metrics">
-<span class="sig-name descname"><span class="pre">display_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.display_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.display_metrics" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">display_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.display_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.display_metrics" title="Link to this definition">#</a></dt>
 <dd><p>Plots:
 1) Loss per epoch both for validation and train sets
 2) NDCG&#64;k per epoch of the validation set</p>
@@ -5743,7 +6324,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit model with the train sets and validate on the validation set.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5760,19 +6341,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta">
-<span class="sig-name descname"><span class="pre">get_optimal_beta</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.get_optimal_beta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_optimal_beta</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.get_optimal_beta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta" title="Link to this definition">#</a></dt>
 <dd><p>Returns the value of the optimal beta.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch">
-<span class="sig-name descname"><span class="pre">ndcg_per_epoch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.ndcg_per_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ndcg_per_epoch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.ndcg_per_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch" title="Link to this definition">#</a></dt>
 <dd><p>Returns the list of NDCG&#64;k at each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator">
-<span class="sig-name descname"><span class="pre">nn_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.nn_batch_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">nn_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.nn_batch_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator" title="Link to this definition">#</a></dt>
 <dd><p>Used for splitting dataset in batches.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5783,7 +6364,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/standard_vae.html#StandardVAE.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.</p>
 <p>Obtained probabilities are used as recommendation score.</p>
 <dl class="field-list simple">
@@ -5806,15 +6387,15 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.vae.multinomial_vae">
-<span id="multinomial-vae"></span><h2>Multinomial VAE<a class="headerlink" href="#module-recommenders.models.vae.multinomial_vae" title="Permalink to this heading">#</a></h2>
+<span id="multinomial-vae"></span><h2>Multinomial VAE<a class="headerlink" href="#module-recommenders.models.vae.multinomial_vae" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">AnnealingCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">AnnealingCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback" title="Link to this definition">#</a></dt>
 <dd><p>This class is used for updating the value of β during the annealing process.
 When β reaches the value of anneal_cap, it stops increasing.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">total_anneal_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5829,25 +6410,25 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data">
-<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data" title="Link to this definition">#</a></dt>
 <dd><p>Returns a list of the beta values per epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end">
-<span class="sig-name descname"><span class="pre">on_batch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_batch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_batch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_batch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each batch the beta should is updated until it reaches the values of anneal cap.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each epoch save the value of beta in _beta list.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#AnnealingCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise a list in which the beta value will be saved at the end of each epoch.</p>
 </dd></dl>
 
@@ -5855,17 +6436,17 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.LossHistory">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">LossHistory</span></span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">LossHistory</span></span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory" title="Link to this definition">#</a></dt>
 <dd><p>This class is used for saving the validation loss and the training loss per epoch.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>Save the loss of training and validation set at the end of each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#LossHistory.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise the lists where the loss of training and validation will be saved.</p>
 </dd></dl>
 
@@ -5873,12 +6454,12 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">Metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">Metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics" title="Link to this definition">#</a></dt>
 <dd><p>Callback function used to calculate the NDCG&#64;k metric of validation set at the end of each epoch.
 Weights of the model with the highest NDCG&#64;k value is saved.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initialize the class parameters.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5896,14 +6477,14 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.get_data">
-<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.get_data" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.get_data" title="Link to this definition">#</a></dt>
 <dd><p>Returns a list of the NDCG&#64;k of the validation set metrics calculated
 at the end of each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end">
-<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end" title="Link to this definition">#</a></dt>
 <dd><p>At the end of each epoch calculate NDCG&#64;k of the validation set.</p>
 <p>If the model performance is improved, the model weights are saved.
 Update the list of validation NDCG&#64;k by adding obtained value</p>
@@ -5911,13 +6492,13 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.on_train_begin">
-<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin" title="Link to this definition">#</a></dt>
 <dd><p>Initialise the list for validation NDCG&#64;k.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Metrics.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.
 Obtained probabilities are used as recommendation score.</p>
 <dl class="field-list simple">
@@ -5940,7 +6521,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">Mult_VAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vae.multinomial_vae.</span></span><span class="sig-name descname"><span class="pre">Mult_VAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE" title="Link to this definition">#</a></dt>
 <dd><p>Multinomial Variational Autoencoders (Multi-VAE) for Collaborative Filtering implementation</p>
 <dl class="field-list simple">
 <dt class="field-odd">Citation<span class="colon">:</span></dt>
@@ -5951,7 +6532,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">intermediate_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">latent_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">70</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_encoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_decoder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annealing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anneal_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Constructor</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -5980,7 +6561,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics">
-<span class="sig-name descname"><span class="pre">display_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.display_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">display_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.display_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics" title="Link to this definition">#</a></dt>
 <dd><p>Plots:
 1) Loss per epoch both for validation and train set
 2) NDCG&#64;k per epoch of the validation set</p>
@@ -5988,7 +6569,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_tr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_val_te</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapper</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit model with the train sets and validate on the validation set.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6005,19 +6586,19 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta">
-<span class="sig-name descname"><span class="pre">get_optimal_beta</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.get_optimal_beta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_optimal_beta</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.get_optimal_beta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta" title="Link to this definition">#</a></dt>
 <dd><p>Returns the value of the optimal beta.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch">
-<span class="sig-name descname"><span class="pre">ndcg_per_epoch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.ndcg_per_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">ndcg_per_epoch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.ndcg_per_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch" title="Link to this definition">#</a></dt>
 <dd><p>Returns the list of NDCG&#64;k at each epoch.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator">
-<span class="sig-name descname"><span class="pre">nn_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.nn_batch_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">nn_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.nn_batch_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator" title="Link to this definition">#</a></dt>
 <dd><p>Used for splitting dataset in batches.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6028,7 +6609,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items">
-<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">recommend_k_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_seen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vae/multinomial_vae.html#Mult_VAE.recommend_k_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items" title="Link to this definition">#</a></dt>
 <dd><p>Returns the top-k items ordered by a relevancy score.
 Obtained probabilities are used as recommendation score.</p>
 <dl class="field-list simple">
@@ -6051,17 +6632,17 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.vowpal_wabbit.vw">
-<span id="vowpal-wabbit-utilities"></span><h2>Vowpal Wabbit utilities<a class="headerlink" href="#module-recommenders.models.vowpal_wabbit.vw" title="Permalink to this heading">#</a></h2>
+<span id="vowpal-wabbit-utilities"></span><h2>Vowpal Wabbit utilities<a class="headerlink" href="#module-recommenders.models.vowpal_wabbit.vw" title="Link to this heading">#</a></h2>
 <p>This file provides a wrapper to run Vowpal Wabbit from the command line through python.
 It is not recommended to use this approach in production, there are python bindings that can be installed from the
 repository or pip or the command line can be used. This is merely to demonstrate vw usage in the example notebooks.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vowpal_wabbit.vw.</span></span><span class="sig-name descname"><span class="pre">VW</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.models.vowpal_wabbit.vw.</span></span><span class="sig-name descname"><span class="pre">VW</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_item</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_rating</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'rating'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'timestamp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">col_prediction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'prediction'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW" title="Link to this definition">#</a></dt>
 <dd><p>Vowpal Wabbit Class</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.fit">
-<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.fit" title="Link to this definition">#</a></dt>
 <dd><p>Train model</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6072,7 +6653,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.parse_test_params">
-<span class="sig-name descname"><span class="pre">parse_test_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.parse_test_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parse_test_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.parse_test_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params" title="Link to this definition">#</a></dt>
 <dd><p>Parse input hyper-parameters to build vw test commands</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6089,7 +6670,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.parse_train_params">
-<span class="sig-name descname"><span class="pre">parse_train_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.parse_train_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">parse_train_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.parse_train_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params" title="Link to this definition">#</a></dt>
 <dd><p>Parse input hyper-parameters to build vw train commands</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6106,7 +6687,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.predict" title="Link to this definition">#</a></dt>
 <dd><p>Predict results</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6117,7 +6698,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">to_vw_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.to_vw_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">to_vw_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.to_vw_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd" title="Link to this definition">#</a></dt>
 <dd><p>Convert dictionary of parameters to vw command line.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6134,7 +6715,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.models.vowpal_wabbit.vw.VW.to_vw_file">
-<span class="sig-name descname"><span class="pre">to_vw_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.to_vw_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">to_vw_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/vowpal_wabbit/vw.html#VW.to_vw_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file" title="Link to this definition">#</a></dt>
 <dd><p>Convert Pandas DataFrame to vw input format file</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6150,10 +6731,10 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 </section>
 <section id="module-recommenders.models.wide_deep.wide_deep_utils">
-<span id="wide-deep"></span><h2>Wide &amp; Deep<a class="headerlink" href="#module-recommenders.models.wide_deep.wide_deep_utils" title="Permalink to this heading">#</a></h2>
+<span id="wide-deep"></span><h2>Wide &amp; Deep<a class="headerlink" href="#module-recommenders.models.wide_deep.wide_deep_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.wide_deep.wide_deep_utils.build_feature_columns">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.wide_deep.wide_deep_utils.</span></span><span class="sig-name descname"><span class="pre">build_feature_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feat_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crossed_feat_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feat_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'wide_deep'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/wide_deep/wide_deep_utils.html#build_feature_columns"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.wide_deep.wide_deep_utils.</span></span><span class="sig-name descname"><span class="pre">build_feature_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">users</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">items</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'userID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'itemID'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feat_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crossed_feat_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">item_feat_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'wide_deep'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/wide_deep/wide_deep_utils.html#build_feature_columns"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns" title="Link to this definition">#</a></dt>
 <dd><p>Build wide and/or deep feature columns for TensorFlow high-level API Estimator.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -6166,7 +6747,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 <li><p><strong>crossed_feat_dim</strong> (<em>int</em>) – Crossed feature dimension for ‘wide’ or ‘wide_deep’ model.</p></li>
 <li><p><strong>user_dim</strong> (<em>int</em>) – User embedding dimension for ‘deep’ or ‘wide_deep’ model.</p></li>
 <li><p><strong>item_dim</strong> (<em>int</em>) – Item embedding dimension for ‘deep’ or ‘wide_deep’ model.</p></li>
-<li><p><strong>item_feat_shape</strong> (<em>int</em><em> or </em><em>an iterable of integers</em>) – Item feature array shape for ‘deep’ or ‘wide_deep’ model.</p></li>
+<li><p><strong>item_feat_shape</strong> (<em>int</em><em> or </em><em>an iterable</em><em> of </em><em>integers</em>) – Item feature array shape for ‘deep’ or ‘wide_deep’ model.</p></li>
 <li><p><strong>model_type</strong> (<em>str</em>) – Model type, either
 ‘wide’ for a linear model,
 ‘deep’ for a deep neural networks, or
@@ -6188,7 +6769,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.models.wide_deep.wide_deep_utils.build_model">
-<span class="sig-prename descclassname"><span class="pre">recommenders.models.wide_deep.wide_deep_utils.</span></span><span class="sig-name descname"><span class="pre">build_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'model_checkpoints'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wide_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deep_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linear_optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Ftrl'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Adagrad'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(128,</span> <span class="pre">128)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_dropout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_batch_norm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_every_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_checkpoints_steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/wide_deep/wide_deep_utils.html#build_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.wide_deep.wide_deep_utils.build_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.models.wide_deep.wide_deep_utils.</span></span><span class="sig-name descname"><span class="pre">build_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'model_checkpoints'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wide_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deep_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linear_optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Ftrl'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Adagrad'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_hidden_units</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(128,</span> <span class="pre">128)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_dropout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dnn_batch_norm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_every_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_checkpoints_steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/models/wide_deep/wide_deep_utils.html#build_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.models.wide_deep.wide_deep_utils.build_model" title="Link to this definition">#</a></dt>
 <dd><p>Build wide-deep model.</p>
 <p>To generate wide model, pass wide_columns only.
 To generate deep model, pass deep_columns only.
@@ -6197,11 +6778,11 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>model_dir</strong> (<em>str</em>) – Model checkpoint directory.</p></li>
-<li><p><strong>wide_columns</strong> (<em>list of tf.feature_column</em>) – Wide model feature columns.</p></li>
-<li><p><strong>deep_columns</strong> (<em>list of tf.feature_column</em>) – Deep model feature columns.</p></li>
+<li><p><strong>wide_columns</strong> (<em>list</em><em> of </em><em>tf.feature_column</em>) – Wide model feature columns.</p></li>
+<li><p><strong>deep_columns</strong> (<em>list</em><em> of </em><em>tf.feature_column</em>) – Deep model feature columns.</p></li>
 <li><p><strong>linear_optimizer</strong> (<em>str</em><em> or </em><em>tf.train.Optimizer</em>) – Wide model optimizer name or object.</p></li>
 <li><p><strong>dnn_optimizer</strong> (<em>str</em><em> or </em><em>tf.train.Optimizer</em>) – Deep model optimizer name or object.</p></li>
-<li><p><strong>dnn_hidden_units</strong> (<em>list of int</em>) – Deep model hidden units. E.g., [10, 10, 10] is three layers of 10 nodes each.</p></li>
+<li><p><strong>dnn_hidden_units</strong> (<em>list</em><em> of </em><em>int</em>) – Deep model hidden units. E.g., [10, 10, 10] is three layers of 10 nodes each.</p></li>
 <li><p><strong>dnn_dropout</strong> (<em>float</em>) – Deep model’s dropout rate.</p></li>
 <li><p><strong>dnn_batch_norm</strong> (<em>bool</em>) – Deep model’s batch normalization flag.</p></li>
 <li><p><strong>log_every_n_iter</strong> (<em>int</em>) – Log the training loss for every n steps.</p></li>
@@ -6285,50 +6866,623 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.cornac.cornac_utils">Cornac utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.cornac.cornac_utils">Cornac utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.cornac.cornac_utils.predict"><code class="docutils literal notranslate"><span class="pre">predict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.cornac.cornac_utils.predict_ranking"><code class="docutils literal notranslate"><span class="pre">predict_ranking()</span></code></a></li>
+</ul>
+</li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#deeprec-utilities">DeepRec utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.base_model">Base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model">Sequential base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.io.iterator">Iterators</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF">Data processing utilities</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.deeprec_utils">Utilities</a></li>
-</ul>
-</li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn">DKN</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn_item2item">DKN item-to-item</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.xDeepFM">xDeepFM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn">LightGCN</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.asvd">A2SVD</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.caser">Caser</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.gru">GRU</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.nextitnet">NextItNet</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">RNN Cells</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sum">SUM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sli_rec">SLIRec</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.fastai.fastai_utils">FastAI utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightfm.lightfm_utils">LightFM utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightgbm.lightgbm_utils">LightGBM utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.ncf.dataset">NCF</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.base_model">Base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel"><code class="docutils literal notranslate"><span class="pre">BaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">BaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.fit"><code class="docutils literal notranslate"><span class="pre">BaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.group_labels"><code class="docutils literal notranslate"><span class="pre">BaseModel.group_labels()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.infer"><code class="docutils literal notranslate"><span class="pre">BaseModel.infer()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.load_model"><code class="docutils literal notranslate"><span class="pre">BaseModel.load_model()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.predict"><code class="docutils literal notranslate"><span class="pre">BaseModel.predict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.run_eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.base_model.BaseModel.train"><code class="docutils literal notranslate"><span class="pre">BaseModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sequential_base_model">Sequential base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.fit"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.predict"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.predict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">SequentialBaseModel.run_eval()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.io.iterator">Iterators</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator"><code class="docutils literal notranslate"><span class="pre">BaseIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">BaseIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">BaseIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.BaseIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">BaseIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.iterator.FFMTextIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">FFMTextIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.gen_infer_feed_dict"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.gen_infer_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.load_infer_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.load_infer_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">DKNTextIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.__init__"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">DKNItem2itemTextIterator.load_data_from_file()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator"><code class="docutils literal notranslate"><span class="pre">NextItNetIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator.__init__"><code class="docutils literal notranslate"><span class="pre">NextItNetIterator.__init__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator"><code class="docutils literal notranslate"><span class="pre">SequentialIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.__init__"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.gen_feed_dict"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.gen_feed_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parse_file"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.parse_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.io.sequential_iterator.SequentialIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">SequentialIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.DataModel.ImplicitCF">Data processing utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF"><code class="docutils literal notranslate"><span class="pre">ImplicitCF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.__init__"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.create_norm_adj_mat"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.create_norm_adj_mat()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.get_norm_adj_mat"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.get_norm_adj_mat()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF.train_loader"><code class="docutils literal notranslate"><span class="pre">ImplicitCF.train_loader()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.deeprec_utils">Utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams"><code class="docutils literal notranslate"><span class="pre">HParams</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.__init__"><code class="docutils literal notranslate"><span class="pre">HParams.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.__repr__"><code class="docutils literal notranslate"><span class="pre">HParams.__repr__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.HParams.values"><code class="docutils literal notranslate"><span class="pre">HParams.values()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.cal_metric"><code class="docutils literal notranslate"><span class="pre">cal_metric()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.check_nn_config"><code class="docutils literal notranslate"><span class="pre">check_nn_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.check_type"><code class="docutils literal notranslate"><span class="pre">check_type()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.create_hparams"><code class="docutils literal notranslate"><span class="pre">create_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.dcg_score"><code class="docutils literal notranslate"><span class="pre">dcg_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.download_deeprec_resources"><code class="docutils literal notranslate"><span class="pre">download_deeprec_resources()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.flat_config"><code class="docutils literal notranslate"><span class="pre">flat_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.hit_score"><code class="docutils literal notranslate"><span class="pre">hit_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.load_dict"><code class="docutils literal notranslate"><span class="pre">load_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.load_yaml"><code class="docutils literal notranslate"><span class="pre">load_yaml()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.mrr_score"><code class="docutils literal notranslate"><span class="pre">mrr_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.ndcg_score"><code class="docutils literal notranslate"><span class="pre">ndcg_score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.deeprec_utils.prepare_hparams"><code class="docutils literal notranslate"><span class="pre">prepare_hparams()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn">DKN</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN"><code class="docutils literal notranslate"><span class="pre">DKN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.__init__"><code class="docutils literal notranslate"><span class="pre">DKN.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.infer_embedding"><code class="docutils literal notranslate"><span class="pre">DKN.infer_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn.DKN.run_get_embedding"><code class="docutils literal notranslate"><span class="pre">DKN.run_get_embedding()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.dkn_item2item">DKN item-to-item</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.eval"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item.eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item.run_eval"><code class="docutils literal notranslate"><span class="pre">DKNItem2Item.run_eval()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.xDeepFM">xDeepFM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.xDeepFM.XDeepFMModel"><code class="docutils literal notranslate"><span class="pre">XDeepFMModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.graphrec.lightgcn">LightGCN</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN"><code class="docutils literal notranslate"><span class="pre">LightGCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.__init__"><code class="docutils literal notranslate"><span class="pre">LightGCN.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.fit"><code class="docutils literal notranslate"><span class="pre">LightGCN.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.infer_embedding"><code class="docutils literal notranslate"><span class="pre">LightGCN.infer_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.load"><code class="docutils literal notranslate"><span class="pre">LightGCN.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">LightGCN.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.run_eval"><code class="docutils literal notranslate"><span class="pre">LightGCN.run_eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN.score"><code class="docutils literal notranslate"><span class="pre">LightGCN.score()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.asvd">A2SVD</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.asvd.A2SVDModel"><code class="docutils literal notranslate"><span class="pre">A2SVDModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.caser">Caser</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel"><code class="docutils literal notranslate"><span class="pre">CaserModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.caser.CaserModel.__init__"><code class="docutils literal notranslate"><span class="pre">CaserModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.gru">GRU</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.gru.GRUModel"><code class="docutils literal notranslate"><span class="pre">GRUModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.nextitnet">NextItNet</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.nextitnet.NextItNetModel"><code class="docutils literal notranslate"><span class="pre">NextItNetModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.rnn_cell_implement">RNN Cells</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.call"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.output_size"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell.state_size"><code class="docutils literal notranslate"><span class="pre">Time4ALSTMCell.state_size</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.call"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.output_size"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell.state_size"><code class="docutils literal notranslate"><span class="pre">Time4LSTMCell.state_size</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sum">SUM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum.SUMModel"><code class="docutils literal notranslate"><span class="pre">SUMModel</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell"><code class="docutils literal notranslate"><span class="pre">SUMCell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.build"><code class="docutils literal notranslate"><span class="pre">SUMCell.build()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.call"><code class="docutils literal notranslate"><span class="pre">SUMCell.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.get_config"><code class="docutils literal notranslate"><span class="pre">SUMCell.get_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.output_size"><code class="docutils literal notranslate"><span class="pre">SUMCell.output_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMCell.state_size"><code class="docutils literal notranslate"><span class="pre">SUMCell.state_size</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.build"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell.build()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell.call"><code class="docutils literal notranslate"><span class="pre">SUMV2Cell.call()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.deeprec.models.sequential.sli_rec">SLIRec</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.deeprec.models.sequential.sli_rec.SLI_RECModel"><code class="docutils literal notranslate"><span class="pre">SLI_RECModel</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.fastai.fastai_utils">FastAI utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.cartesian_product"><code class="docutils literal notranslate"><span class="pre">cartesian_product()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.hide_fastai_progress_bar"><code class="docutils literal notranslate"><span class="pre">hide_fastai_progress_bar()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.fastai.fastai_utils.score"><code class="docutils literal notranslate"><span class="pre">score()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightfm.lightfm_utils">LightFM utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.compare_metric"><code class="docutils literal notranslate"><span class="pre">compare_metric()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.model_perf_plots"><code class="docutils literal notranslate"><span class="pre">model_perf_plots()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.prepare_all_predictions"><code class="docutils literal notranslate"><span class="pre">prepare_all_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.prepare_test_df"><code class="docutils literal notranslate"><span class="pre">prepare_test_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.similar_items"><code class="docutils literal notranslate"><span class="pre">similar_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.similar_users"><code class="docutils literal notranslate"><span class="pre">similar_users()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightfm.lightfm_utils.track_model_metrics"><code class="docutils literal notranslate"><span class="pre">track_model_metrics()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.lightgbm.lightgbm_utils">LightGBM utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder"><code class="docutils literal notranslate"><span class="pre">NumEncoder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.fit_transform"><code class="docutils literal notranslate"><span class="pre">NumEncoder.fit_transform()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.NumEncoder.transform"><code class="docutils literal notranslate"><span class="pre">NumEncoder.transform()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.lightgbm.lightgbm_utils.unpackbits"><code class="docutils literal notranslate"><span class="pre">unpackbits()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.ncf.dataset">NCF</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile"><code class="docutils literal notranslate"><span class="pre">DataFile</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile.__init__"><code class="docutils literal notranslate"><span class="pre">DataFile.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.DataFile.load_data"><code class="docutils literal notranslate"><span class="pre">DataFile.load_data()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset"><code class="docutils literal notranslate"><span class="pre">Dataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.__init__"><code class="docutils literal notranslate"><span class="pre">Dataset.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.test_loader"><code class="docutils literal notranslate"><span class="pre">Dataset.test_loader()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.Dataset.train_loader"><code class="docutils literal notranslate"><span class="pre">Dataset.train_loader()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.EmptyFileException"><code class="docutils literal notranslate"><span class="pre">EmptyFileException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.FileNotSortedException"><code class="docutils literal notranslate"><span class="pre">FileNotSortedException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.MissingFieldsException"><code class="docutils literal notranslate"><span class="pre">MissingFieldsException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.MissingUserException"><code class="docutils literal notranslate"><span class="pre">MissingUserException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler"><code class="docutils literal notranslate"><span class="pre">NegativeSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler.__init__"><code class="docutils literal notranslate"><span class="pre">NegativeSampler.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.dataset.NegativeSampler.sample"><code class="docutils literal notranslate"><span class="pre">NegativeSampler.sample()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF"><code class="docutils literal notranslate"><span class="pre">NCF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.__init__"><code class="docutils literal notranslate"><span class="pre">NCF.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.fit"><code class="docutils literal notranslate"><span class="pre">NCF.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.load"><code class="docutils literal notranslate"><span class="pre">NCF.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.predict"><code class="docutils literal notranslate"><span class="pre">NCF.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.ncf.ncf_singlenode.NCF.save"><code class="docutils literal notranslate"><span class="pre">NCF.save()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#newsrec-utilities">NewsRec utilities</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Base model</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Iterators</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Utilities</a></li>
-</ul>
-</li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.lstur">LSTUR</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.naml">NAML</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.npa">NPA</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.nrms">NRMS</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.rbm.rbm">RBM</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sar.sar_singlenode">SAR</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.model">SASRec</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.ssept">SSE-PT</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.surprise.surprise_utils">Surprise utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.tfidf.tfidf_utils">TF-IDF utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.standard_vae">Standard VAE</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.multinomial_vae">Multinomial VAE</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vowpal_wabbit.vw">Vowpal Wabbit utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.wide_deep.wide_deep_utils">Wide &amp; Deep</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Base model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel"><code class="docutils literal notranslate"><span class="pre">BaseModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.hparams"><code class="docutils literal notranslate"><span class="pre">BaseModel.hparams</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.train_iterator"><code class="docutils literal notranslate"><span class="pre">BaseModel.train_iterator</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.test_iterator"><code class="docutils literal notranslate"><span class="pre">BaseModel.test_iterator</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.graph"><code class="docutils literal notranslate"><span class="pre">BaseModel.graph</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.seed"><code class="docutils literal notranslate"><span class="pre">BaseModel.seed</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.__init__"><code class="docutils literal notranslate"><span class="pre">BaseModel.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.fit"><code class="docutils literal notranslate"><span class="pre">BaseModel.fit()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.group_labels"><code class="docutils literal notranslate"><span class="pre">BaseModel.group_labels()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.run_eval"><code class="docutils literal notranslate"><span class="pre">BaseModel.run_eval()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.base_model.BaseModel.train"><code class="docutils literal notranslate"><span class="pre">BaseModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Iterators</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator"><code class="docutils literal notranslate"><span class="pre">MINDIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.col_spliter"><code class="docutils literal notranslate"><span class="pre">MINDIterator.col_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.ID_spliter"><code class="docutils literal notranslate"><span class="pre">MINDIterator.ID_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.batch_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.batch_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.title_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.title_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.his_size"><code class="docutils literal notranslate"><span class="pre">MINDIterator.his_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.npratio"><code class="docutils literal notranslate"><span class="pre">MINDIterator.npratio</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.__init__"><code class="docutils literal notranslate"><span class="pre">MINDIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_behaviors"><code class="docutils literal notranslate"><span class="pre">MINDIterator.init_behaviors()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.init_news"><code class="docutils literal notranslate"><span class="pre">MINDIterator.init_news()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_dict"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_impression_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_impression_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_news_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_news_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.load_user_from_file"><code class="docutils literal notranslate"><span class="pre">MINDIterator.load_user_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_iterator.MINDIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">MINDIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.col_spliter"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.col_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.ID_spliter"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.ID_spliter</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.batch_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.batch_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.title_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.title_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.body_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.body_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.his_size"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.his_size</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.npratio"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.npratio</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.__init__"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_behaviors"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.init_behaviors()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.init_news"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.init_news()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_data_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_data_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_dict"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_dict()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_impression_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_impression_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_news_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_news_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.load_user_from_file"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.load_user_from_file()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator.parser_one_line"><code class="docutils literal notranslate"><span class="pre">MINDAllIterator.parser_one_line()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2"><code class="docutils literal notranslate"><span class="pre">AttLayer2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.dim"><code class="docutils literal notranslate"><span class="pre">AttLayer2.dim</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.__init__"><code class="docutils literal notranslate"><span class="pre">AttLayer2.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.build"><code class="docutils literal notranslate"><span class="pre">AttLayer2.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.call"><code class="docutils literal notranslate"><span class="pre">AttLayer2.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_mask"><code class="docutils literal notranslate"><span class="pre">AttLayer2.compute_mask()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.AttLayer2.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">AttLayer2.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking"><code class="docutils literal notranslate"><span class="pre">ComputeMasking</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking.call"><code class="docutils literal notranslate"><span class="pre">ComputeMasking.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.ComputeMasking.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">ComputeMasking.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.build"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.call"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.OverwriteMasking.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">OverwriteMasking.compute_output_shape()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.PersonalizedAttentivePooling"><code class="docutils literal notranslate"><span class="pre">PersonalizedAttentivePooling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim1"><code class="docutils literal notranslate"><span class="pre">dim1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim2"><code class="docutils literal notranslate"><span class="pre">dim2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.dim3"><code class="docutils literal notranslate"><span class="pre">dim3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention"><code class="docutils literal notranslate"><span class="pre">SelfAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.Mask"><code class="docutils literal notranslate"><span class="pre">SelfAttention.Mask()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.__init__"><code class="docutils literal notranslate"><span class="pre">SelfAttention.__init__()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.build"><code class="docutils literal notranslate"><span class="pre">SelfAttention.build()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.call"><code class="docutils literal notranslate"><span class="pre">SelfAttention.call()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.compute_output_shape"><code class="docutils literal notranslate"><span class="pre">SelfAttention.compute_output_shape()</span></code></a></li>
+<li class="toc-h5 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.layers.SelfAttention.get_config"><code class="docutils literal notranslate"><span class="pre">SelfAttention.get_config()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.check_nn_config"><code class="docutils literal notranslate"><span class="pre">check_nn_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.check_type"><code class="docutils literal notranslate"><span class="pre">check_type()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.create_hparams"><code class="docutils literal notranslate"><span class="pre">create_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.get_mind_data_set"><code class="docutils literal notranslate"><span class="pre">get_mind_data_set()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.newsample"><code class="docutils literal notranslate"><span class="pre">newsample()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.prepare_hparams"><code class="docutils literal notranslate"><span class="pre">prepare_hparams()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.newsrec_utils.word_tokenize"><code class="docutils literal notranslate"><span class="pre">word_tokenize()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.lstur">LSTUR</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel"><code class="docutils literal notranslate"><span class="pre">LSTURModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.lstur.LSTURModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">LSTURModel.word2vec_embedding</span></code></a></li>
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+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.naml">NAML</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel"><code class="docutils literal notranslate"><span class="pre">NAMLModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NAMLModel.word2vec_embedding</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.naml.NAMLModel.__init__"><code class="docutils literal notranslate"><span class="pre">NAMLModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.npa">NPA</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel"><code class="docutils literal notranslate"><span class="pre">NPAModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NPAModel.word2vec_embedding</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.npa.NPAModel.__init__"><code class="docutils literal notranslate"><span class="pre">NPAModel.__init__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.newsrec.models.nrms">NRMS</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel"><code class="docutils literal notranslate"><span class="pre">NRMSModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.newsrec.models.nrms.NRMSModel.word2vec_embedding"><code class="docutils literal notranslate"><span class="pre">NRMSModel.word2vec_embedding</span></code></a></li>
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+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.rbm.rbm">RBM</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM"><code class="docutils literal notranslate"><span class="pre">RBM</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.__init__"><code class="docutils literal notranslate"><span class="pre">RBM.__init__()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.eval_out"><code class="docutils literal notranslate"><span class="pre">RBM.eval_out()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.fit"><code class="docutils literal notranslate"><span class="pre">RBM.fit()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.gibbs_protocol"><code class="docutils literal notranslate"><span class="pre">RBM.gibbs_protocol()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.gibbs_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.gibbs_sampling()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.init_training_session"><code class="docutils literal notranslate"><span class="pre">RBM.init_training_session()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.load"><code class="docutils literal notranslate"><span class="pre">RBM.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.losses"><code class="docutils literal notranslate"><span class="pre">RBM.losses()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.multinomial_distribution"><code class="docutils literal notranslate"><span class="pre">RBM.multinomial_distribution()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.multinomial_sampling"><code class="docutils literal notranslate"><span class="pre">RBM.multinomial_sampling()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.placeholder"><code class="docutils literal notranslate"><span class="pre">RBM.placeholder()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.predict"><code class="docutils literal notranslate"><span class="pre">RBM.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">RBM.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.sample_hidden_units"><code class="docutils literal notranslate"><span class="pre">RBM.sample_hidden_units()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.sample_visible_units"><code class="docutils literal notranslate"><span class="pre">RBM.sample_visible_units()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.rbm.rbm.RBM.save"><code class="docutils literal notranslate"><span class="pre">RBM.save()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sar.sar_singlenode">SAR</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode"><code class="docutils literal notranslate"><span class="pre">SARSingleNode</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.__init__"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.__init__()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_cooccurrence_matrix"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_cooccurrence_matrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.compute_time_decay"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.compute_time_decay()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.fit"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_item_based_topk"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_item_based_topk()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_popularity_based_topk"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_popularity_based_topk()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.get_topk_most_similar_users"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.get_topk_most_similar_users()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.predict"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.recommend_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.score"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.score()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sar.sar_singlenode.SARSingleNode.set_index"><code class="docutils literal notranslate"><span class="pre">SARSingleNode.set_index()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.model">SASRec</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder"><code class="docutils literal notranslate"><span class="pre">Encoder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder.__init__"><code class="docutils literal notranslate"><span class="pre">Encoder.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.Encoder.call"><code class="docutils literal notranslate"><span class="pre">Encoder.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer"><code class="docutils literal notranslate"><span class="pre">EncoderLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.__init__"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.call"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.EncoderLayer.call_"><code class="docutils literal notranslate"><span class="pre">EncoderLayer.call_()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization"><code class="docutils literal notranslate"><span class="pre">LayerNormalization</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization.__init__"><code class="docutils literal notranslate"><span class="pre">LayerNormalization.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.LayerNormalization.call"><code class="docutils literal notranslate"><span class="pre">LayerNormalization.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention.__init__"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.MultiHeadAttention.call"><code class="docutils literal notranslate"><span class="pre">MultiHeadAttention.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward.__init__"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.PointWiseFeedForward.call"><code class="docutils literal notranslate"><span class="pre">PointWiseFeedForward.call()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC"><code class="docutils literal notranslate"><span class="pre">SASREC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.__init__"><code class="docutils literal notranslate"><span class="pre">SASREC.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.call"><code class="docutils literal notranslate"><span class="pre">SASREC.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.create_combined_dataset"><code class="docutils literal notranslate"><span class="pre">SASREC.create_combined_dataset()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.embedding"><code class="docutils literal notranslate"><span class="pre">SASREC.embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.evaluate"><code class="docutils literal notranslate"><span class="pre">SASREC.evaluate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.evaluate_valid"><code class="docutils literal notranslate"><span class="pre">SASREC.evaluate_valid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.loss_function"><code class="docutils literal notranslate"><span class="pre">SASREC.loss_function()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.predict"><code class="docutils literal notranslate"><span class="pre">SASREC.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.model.SASREC.train"><code class="docutils literal notranslate"><span class="pre">SASREC.train()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler"><code class="docutils literal notranslate"><span class="pre">WarpSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.User"><code class="docutils literal notranslate"><span class="pre">WarpSampler.User</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.usernum"><code class="docutils literal notranslate"><span class="pre">WarpSampler.usernum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.itemnum"><code class="docutils literal notranslate"><span class="pre">WarpSampler.itemnum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.batch_size"><code class="docutils literal notranslate"><span class="pre">WarpSampler.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.maxlen"><code class="docutils literal notranslate"><span class="pre">WarpSampler.maxlen</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.n_workers"><code class="docutils literal notranslate"><span class="pre">WarpSampler.n_workers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.WarpSampler.__init__"><code class="docutils literal notranslate"><span class="pre">WarpSampler.__init__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.sampler.sample_function"><code class="docutils literal notranslate"><span class="pre">sample_function()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.usernum"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.usernum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.itemnum"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.itemnum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.User"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.User</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.Items"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.Items</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_train"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_train</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_valid"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_valid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.user_test"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.user_test</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.col_sep"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.col_sep</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.util.SASRecDataSet.filename"><code class="docutils literal notranslate"><span class="pre">SASRecDataSet.filename</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.sasrec.ssept">SSE-PT</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT"><code class="docutils literal notranslate"><span class="pre">SSEPT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.__init__"><code class="docutils literal notranslate"><span class="pre">SSEPT.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.call"><code class="docutils literal notranslate"><span class="pre">SSEPT.call()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.loss_function"><code class="docutils literal notranslate"><span class="pre">SSEPT.loss_function()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.sasrec.ssept.SSEPT.predict"><code class="docutils literal notranslate"><span class="pre">SSEPT.predict()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.surprise.surprise_utils">Surprise utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.compute_ranking_predictions"><code class="docutils literal notranslate"><span class="pre">compute_ranking_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.predict"><code class="docutils literal notranslate"><span class="pre">predict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.surprise.surprise_utils.surprise_trainset_to_df"><code class="docutils literal notranslate"><span class="pre">surprise_trainset_to_df()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.tfidf.tfidf_utils">TF-IDF utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.clean_dataframe"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.clean_dataframe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.fit"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_stop_words"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_stop_words()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_tokens"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_tokens()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.get_top_k_recommendations"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.get_top_k_recommendations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.recommend_top_k_items"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.recommend_top_k_items()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.tfidf.tfidf_utils.TfidfRecommender.tokenize_text"><code class="docutils literal notranslate"><span class="pre">TfidfRecommender.tokenize_text()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.standard_vae">Standard VAE</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.__init__"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.get_data"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_batch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_batch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.AnnealingCallback.on_train_begin"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory"><code class="docutils literal notranslate"><span class="pre">LossHistory</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.LossHistory.on_train_begin"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics"><code class="docutils literal notranslate"><span class="pre">Metrics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.__init__"><code class="docutils literal notranslate"><span class="pre">Metrics.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.get_data"><code class="docutils literal notranslate"><span class="pre">Metrics.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">Metrics.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.on_train_begin"><code class="docutils literal notranslate"><span class="pre">Metrics.on_train_begin()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.Metrics.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Metrics.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE"><code class="docutils literal notranslate"><span class="pre">StandardVAE</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.__init__"><code class="docutils literal notranslate"><span class="pre">StandardVAE.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.display_metrics"><code class="docutils literal notranslate"><span class="pre">StandardVAE.display_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.fit"><code class="docutils literal notranslate"><span class="pre">StandardVAE.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.get_optimal_beta"><code class="docutils literal notranslate"><span class="pre">StandardVAE.get_optimal_beta()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.ndcg_per_epoch"><code class="docutils literal notranslate"><span class="pre">StandardVAE.ndcg_per_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.nn_batch_generator"><code class="docutils literal notranslate"><span class="pre">StandardVAE.nn_batch_generator()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.standard_vae.StandardVAE.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">StandardVAE.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vae.multinomial_vae">Multinomial VAE</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.__init__"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.get_data"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_batch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_batch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.AnnealingCallback.on_train_begin"><code class="docutils literal notranslate"><span class="pre">AnnealingCallback.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory"><code class="docutils literal notranslate"><span class="pre">LossHistory</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.LossHistory.on_train_begin"><code class="docutils literal notranslate"><span class="pre">LossHistory.on_train_begin()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics"><code class="docutils literal notranslate"><span class="pre">Metrics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.__init__"><code class="docutils literal notranslate"><span class="pre">Metrics.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.get_data"><code class="docutils literal notranslate"><span class="pre">Metrics.get_data()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.on_epoch_end"><code class="docutils literal notranslate"><span class="pre">Metrics.on_epoch_end()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.on_train_begin"><code class="docutils literal notranslate"><span class="pre">Metrics.on_train_begin()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Metrics.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Metrics.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE"><code class="docutils literal notranslate"><span class="pre">Mult_VAE</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.__init__"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.display_metrics"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.display_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.fit"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.get_optimal_beta"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.get_optimal_beta()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.ndcg_per_epoch"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.ndcg_per_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.nn_batch_generator"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.nn_batch_generator()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vae.multinomial_vae.Mult_VAE.recommend_k_items"><code class="docutils literal notranslate"><span class="pre">Mult_VAE.recommend_k_items()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.vowpal_wabbit.vw">Vowpal Wabbit utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW"><code class="docutils literal notranslate"><span class="pre">VW</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.fit"><code class="docutils literal notranslate"><span class="pre">VW.fit()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_test_params"><code class="docutils literal notranslate"><span class="pre">VW.parse_test_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.parse_train_params"><code class="docutils literal notranslate"><span class="pre">VW.parse_train_params()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.predict"><code class="docutils literal notranslate"><span class="pre">VW.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_cmd"><code class="docutils literal notranslate"><span class="pre">VW.to_vw_cmd()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.vowpal_wabbit.vw.VW.to_vw_file"><code class="docutils literal notranslate"><span class="pre">VW.to_vw_file()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.models.wide_deep.wide_deep_utils">Wide &amp; Deep</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.wide_deep.wide_deep_utils.build_feature_columns"><code class="docutils literal notranslate"><span class="pre">build_feature_columns()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.models.wide_deep.wide_deep_utils.build_model"><code class="docutils literal notranslate"><span class="pre">build_model()</span></code></a></li>
+</ul>
+</li>
 </ul>
   </nav></div>
 
@@ -6353,7 +7507,7 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -6377,8 +7531,8 @@ <h3>Utilities<a class="headerlink" href="#id3" title="Permalink to this heading"
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/py-modindex.html b/py-modindex.html
index 5c2ae7b77..817ae586a 100644
--- a/py-modindex.html
+++ b/py-modindex.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,54 +17,58 @@
   </script>
   
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-  <link href="_static/styles/theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/bootstrap.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
-<link href="_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
+  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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 <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
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-    <link rel="stylesheet" type="text/css" href="_static/togglebutton.css" />
-    <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="_static/tabs.css?v=4c969af8" />
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+  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="_static/togglebutton.js"></script>
+    <script src="_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="_static/sphinx-thebe.js?v=afe5de03"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
-    <script src="_static/design-tabs.js"></script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
 const thebe_selector = ".thebe,.cell"
 const thebe_selector_input = "pre"
 const thebe_selector_output = ".output, .cell_output"
 </script>
-    <script async="async" src="_static/sphinx-thebe.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'py-modindex';</script>
     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/py-modindex.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
 
@@ -83,7 +86,6 @@
   <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
   
   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -123,13 +125,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
-    </div>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -170,7 +169,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -751,7 +761,7 @@ <h1>Python Module Index</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
       <br/>
     
   </p>
@@ -775,8 +785,8 @@ <h1>Python Module Index</h1>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/bootstrap.js?digest=bd9e20870c6007c4c509"></script>
-<script src="_static/scripts/pydata-sphinx-theme.js?digest=bd9e20870c6007c4c509"></script>
+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/recommenders.egg-info/PKG-INFO b/recommenders.egg-info/PKG-INFO
index 2d036d07f..58ba4c255 100644
--- a/recommenders.egg-info/PKG-INFO
+++ b/recommenders.egg-info/PKG-INFO
@@ -62,17 +62,17 @@ Requires-Dist: pytest>=3.6.4; extra == "dev"
 Requires-Dist: pytest-cov>=2.12.1; extra == "dev"
 Requires-Dist: pytest-mock>=3.6.1; extra == "dev"
 Provides-Extra: all
-Requires-Dist: pytest-mock>=3.6.1; extra == "all"
 Requires-Dist: black<21,>=18.6b4; extra == "all"
-Requires-Dist: torch>=1.13.1; extra == "all"
-Requires-Dist: tf-slim>=1.1.0; extra == "all"
-Requires-Dist: pytest>=3.6.4; extra == "all"
-Requires-Dist: fastai<2,>=1.0.46; extra == "all"
 Requires-Dist: pyspark<3.3.0,>=2.4.5; extra == "all"
-Requires-Dist: pytest-cov>=2.12.1; extra == "all"
 Requires-Dist: tensorflow==2.8.4; extra == "all"
 Requires-Dist: nvidia-ml-py3>=7.352.0; extra == "all"
+Requires-Dist: fastai<2,>=1.0.46; extra == "all"
+Requires-Dist: torch>=1.13.1; extra == "all"
+Requires-Dist: pytest>=3.6.4; extra == "all"
 Requires-Dist: pyarrow<7.0.0,>=0.12.1; extra == "all"
+Requires-Dist: tf-slim>=1.1.0; extra == "all"
+Requires-Dist: pytest-cov>=2.12.1; extra == "all"
+Requires-Dist: pytest-mock>=3.6.1; extra == "all"
 Provides-Extra: experimental
 Requires-Dist: xlearn==0.40a1; extra == "experimental"
 Requires-Dist: vowpalwabbit<9,>=8.9.0; extra == "experimental"
diff --git a/recommenders.egg-info/requires.txt b/recommenders.egg-info/requires.txt
index fcf65e6df..45edf9e14 100644
--- a/recommenders.egg-info/requires.txt
+++ b/recommenders.egg-info/requires.txt
@@ -29,17 +29,17 @@ cornac<1.15.2,>=1.1.2
 cornac<2,>=1.15.2
 
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-pytest-mock>=3.6.1
 black<21,>=18.6b4
-torch>=1.13.1
-tf-slim>=1.1.0
-pytest>=3.6.4
-fastai<2,>=1.0.46
 pyspark<3.3.0,>=2.4.5
-pytest-cov>=2.12.1
 tensorflow==2.8.4
 nvidia-ml-py3>=7.352.0
+fastai<2,>=1.0.46
+torch>=1.13.1
+pytest>=3.6.4
 pyarrow<7.0.0,>=0.12.1
+tf-slim>=1.1.0
+pytest-cov>=2.12.1
+pytest-mock>=3.6.1
 
 [dev]
 black<21,>=18.6b4
diff --git a/search.html b/search.html
index a8cb07199..95d73de03 100644
--- a/search.html
+++ b/search.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html lang="en" data-content_root="" >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
@@ -17,57 +16,61 @@
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-<link href="_static/styles/pydata-sphinx-theme.css?digest=bd9e20870c6007c4c509" rel="stylesheet" />
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+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
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+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/tabs.js?v=3ee01567"></script>
     <script>let toggleHintShow = 'Click to show';</script>
     <script>let toggleHintHide = 'Click to hide';</script>
     <script>let toggleOpenOnPrint = 'true';</script>
-    <script src="_static/togglebutton.js"></script>
+    <script src="_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
+const thebe_selector = ".thebe,.cell"
+const thebe_selector_input = "pre"
+const thebe_selector_output = ".output, .cell_output"
+</script>
+    <script async="async" src="_static/sphinx-thebe.js?v=afe5de03"></script>
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     <script>DOCUMENTATION_OPTIONS.pagename = 'search';</script>
   <script src="_static/searchtools.js"></script>
   <script src="_static/language_data.js"></script>
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     <link rel="canonical" href="https://recommenders-team.github.io/recommenders/search.html" />
-    <link rel="shortcut icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
+    <link rel="icon" href="https://raw.githubusercontent.com/recommenders-team/artwork/main/icon/recommenders_color_icon.svg"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="#" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
@@ -82,7 +85,6 @@
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   <div id="pst-scroll-pixel-helper"></div>
-
   
   <button type="button" class="btn rounded-pill" id="pst-back-to-top">
     <i class="fa-solid fa-arrow-up"></i>
@@ -122,13 +124,10 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
-
-  <header>
   
-    <div class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
-  </header>
 
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
@@ -169,7 +168,18 @@
   
   
 </a></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         <p aria-level="2" class="caption" role="heading"><span class="caption-text">Recommenders API Documentation</span></p>
 <ul class="nav bd-sidenav">
@@ -383,7 +393,7 @@ <h1>Search</h1>
 
   <p class="copyright">
     
-      © Copyright 2022.
+      © Copyright 2023.
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@@ -407,8 +417,8 @@ <h1>Search</h1>
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diff --git a/searchindex.js b/searchindex.js
index 63922ef99..436432031 100644
--- a/searchindex.js
+++ b/searchindex.js
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@@ -374,7 +382,10 @@ <h2> Contents </h2>
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-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.tuning.parameter_sweep">Parameter sweep utils</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.tuning.parameter_sweep">Parameter sweep utils</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.tuning.parameter_sweep.generate_param_grid"><code class="docutils literal notranslate"><span class="pre">generate_param_grid()</span></code></a></li>
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@@ -387,13 +398,13 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="hyperparameter-tuning-module">
-<span id="tuning"></span><h1>Hyperparameter tuning module<a class="headerlink" href="#hyperparameter-tuning-module" title="Permalink to this heading">#</a></h1>
+<span id="tuning"></span><h1>Hyperparameter tuning module<a class="headerlink" href="#hyperparameter-tuning-module" title="Link to this heading">#</a></h1>
 <p>Hyperparameter tuning module from Recommenders utilities.</p>
 <section id="module-recommenders.tuning.parameter_sweep">
-<span id="parameter-sweep-utils"></span><h2>Parameter sweep utils<a class="headerlink" href="#module-recommenders.tuning.parameter_sweep" title="Permalink to this heading">#</a></h2>
+<span id="parameter-sweep-utils"></span><h2>Parameter sweep utils<a class="headerlink" href="#module-recommenders.tuning.parameter_sweep" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.tuning.parameter_sweep.generate_param_grid">
-<span class="sig-prename descclassname"><span class="pre">recommenders.tuning.parameter_sweep.</span></span><span class="sig-name descname"><span class="pre">generate_param_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/tuning/parameter_sweep.html#generate_param_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.tuning.parameter_sweep.generate_param_grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.tuning.parameter_sweep.</span></span><span class="sig-name descname"><span class="pre">generate_param_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/tuning/parameter_sweep.html#generate_param_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.tuning.parameter_sweep.generate_param_grid" title="Link to this definition">#</a></dt>
 <dd><p>Generator of parameter grids.
 Generate parameter lists from a parameter dictionary in the form of:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
@@ -492,7 +503,10 @@ <h2> Contents </h2>
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.tuning.parameter_sweep">Parameter sweep utils</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.tuning.parameter_sweep">Parameter sweep utils</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.tuning.parameter_sweep.generate_param_grid"><code class="docutils literal notranslate"><span class="pre">generate_param_grid()</span></code></a></li>
+</ul>
+</li>
 </ul>
   </nav></div>
 
@@ -517,7 +531,7 @@ <h2> Contents </h2>
 
   <p class="copyright">
     
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@@ -541,8 +555,8 @@ <h2> Contents </h2>
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index 22325d92a..d8366675d 100644
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@@ -373,15 +381,83 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.general_utils">General utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.gpu_utils">GPU utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.k8s_utils">Kubernetes utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.notebook_utils">Notebook utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.python_utils">Python utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.spark_utils">Spark utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.tf_utils">Tensorflow utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.timer">Timer</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.plot">Plot utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.general_utils">General utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.get_number_processors"><code class="docutils literal notranslate"><span class="pre">get_number_processors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.get_physical_memory"><code class="docutils literal notranslate"><span class="pre">get_physical_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.invert_dictionary"><code class="docutils literal notranslate"><span class="pre">invert_dictionary()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.gpu_utils">GPU utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.clear_memory_all_gpus"><code class="docutils literal notranslate"><span class="pre">clear_memory_all_gpus()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_cuda_version"><code class="docutils literal notranslate"><span class="pre">get_cuda_version()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_cudnn_version"><code class="docutils literal notranslate"><span class="pre">get_cudnn_version()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_gpu_info"><code class="docutils literal notranslate"><span class="pre">get_gpu_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_number_gpus"><code class="docutils literal notranslate"><span class="pre">get_number_gpus()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.k8s_utils">Kubernetes utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.nodes_to_replicas"><code class="docutils literal notranslate"><span class="pre">nodes_to_replicas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.qps_to_replicas"><code class="docutils literal notranslate"><span class="pre">qps_to_replicas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.replicas_to_qps"><code class="docutils literal notranslate"><span class="pre">replicas_to_qps()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.notebook_utils">Notebook utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.execute_notebook"><code class="docutils literal notranslate"><span class="pre">execute_notebook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.is_databricks"><code class="docutils literal notranslate"><span class="pre">is_databricks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.is_jupyter"><code class="docutils literal notranslate"><span class="pre">is_jupyter()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.read_notebook"><code class="docutils literal notranslate"><span class="pre">read_notebook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.store_metadata"><code class="docutils literal notranslate"><span class="pre">store_metadata()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.pre_run_cell"><code class="docutils literal notranslate"><span class="pre">pre_run_cell()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.start_watching_memory"><code class="docutils literal notranslate"><span class="pre">start_watching_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.stop_watching_memory"><code class="docutils literal notranslate"><span class="pre">stop_watching_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.watch_memory"><code class="docutils literal notranslate"><span class="pre">watch_memory()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.python_utils">Python utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.binarize"><code class="docutils literal notranslate"><span class="pre">binarize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.cosine_similarity"><code class="docutils literal notranslate"><span class="pre">cosine_similarity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.exponential_decay"><code class="docutils literal notranslate"><span class="pre">exponential_decay()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.get_top_k_scored_items"><code class="docutils literal notranslate"><span class="pre">get_top_k_scored_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.inclusion_index"><code class="docutils literal notranslate"><span class="pre">inclusion_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.jaccard"><code class="docutils literal notranslate"><span class="pre">jaccard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.lexicographers_mutual_information"><code class="docutils literal notranslate"><span class="pre">lexicographers_mutual_information()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.lift"><code class="docutils literal notranslate"><span class="pre">lift()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.mutual_information"><code class="docutils literal notranslate"><span class="pre">mutual_information()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.rescale"><code class="docutils literal notranslate"><span class="pre">rescale()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.spark_utils">Spark utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.spark_utils.start_or_get_spark"><code class="docutils literal notranslate"><span class="pre">start_or_get_spark()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.tf_utils">Tensorflow utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger"><code class="docutils literal notranslate"><span class="pre">MetricsLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.__init__"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.get_log"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.get_log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.log"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.log()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.build_optimizer"><code class="docutils literal notranslate"><span class="pre">build_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.evaluation_log_hook"><code class="docutils literal notranslate"><span class="pre">evaluation_log_hook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.export_model"><code class="docutils literal notranslate"><span class="pre">export_model()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.pandas_input_fn"><code class="docutils literal notranslate"><span class="pre">pandas_input_fn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model"><code class="docutils literal notranslate"><span class="pre">pandas_input_fn_for_saved_model()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.timer">Timer</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer"><code class="docutils literal notranslate"><span class="pre">Timer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.__init__"><code class="docutils literal notranslate"><span class="pre">Timer.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.interval"><code class="docutils literal notranslate"><span class="pre">Timer.interval</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.start"><code class="docutils literal notranslate"><span class="pre">Timer.start()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.stop"><code class="docutils literal notranslate"><span class="pre">Timer.stop()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.plot">Plot utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.plot.line_graph"><code class="docutils literal notranslate"><span class="pre">line_graph()</span></code></a></li>
+</ul>
+</li>
 </ul>
             </nav>
         </div>
@@ -394,12 +470,12 @@ <h2> Contents </h2>
                 <article class="bd-article">
                   
   <section id="common-utilities-module">
-<span id="common"></span><h1>Common utilities module<a class="headerlink" href="#common-utilities-module" title="Permalink to this heading">#</a></h1>
+<span id="common"></span><h1>Common utilities module<a class="headerlink" href="#common-utilities-module" title="Link to this heading">#</a></h1>
 <section id="module-recommenders.utils.general_utils">
-<span id="general-utilities"></span><h2>General utilities<a class="headerlink" href="#module-recommenders.utils.general_utils" title="Permalink to this heading">#</a></h2>
+<span id="general-utilities"></span><h2>General utilities<a class="headerlink" href="#module-recommenders.utils.general_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.general_utils.get_number_processors">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">get_number_processors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#get_number_processors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.get_number_processors" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">get_number_processors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#get_number_processors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.get_number_processors" title="Link to this definition">#</a></dt>
 <dd><p>Get the number of processors in a CPU.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -413,7 +489,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.general_utils.get_physical_memory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">get_physical_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#get_physical_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.get_physical_memory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">get_physical_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#get_physical_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.get_physical_memory" title="Link to this definition">#</a></dt>
 <dd><p>Get the physical memory in GBs.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -427,7 +503,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.general_utils.invert_dictionary">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">invert_dictionary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dictionary</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#invert_dictionary"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.invert_dictionary" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.general_utils.</span></span><span class="sig-name descname"><span class="pre">invert_dictionary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dictionary</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/general_utils.html#invert_dictionary"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.general_utils.invert_dictionary" title="Link to this definition">#</a></dt>
 <dd><p>Invert a dictionary</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -449,16 +525,16 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.gpu_utils">
-<span id="gpu-utilities"></span><h2>GPU utilities<a class="headerlink" href="#module-recommenders.utils.gpu_utils" title="Permalink to this heading">#</a></h2>
+<span id="gpu-utilities"></span><h2>GPU utilities<a class="headerlink" href="#module-recommenders.utils.gpu_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.clear_memory_all_gpus">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">clear_memory_all_gpus</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#clear_memory_all_gpus"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.clear_memory_all_gpus" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">clear_memory_all_gpus</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#clear_memory_all_gpus"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.clear_memory_all_gpus" title="Link to this definition">#</a></dt>
 <dd><p>Clear memory of all GPUs.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.get_cuda_version">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_cuda_version</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_cuda_version"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_cuda_version" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_cuda_version</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_cuda_version"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_cuda_version" title="Link to this definition">#</a></dt>
 <dd><p>Get CUDA version</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -472,7 +548,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.get_cudnn_version">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_cudnn_version</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_cudnn_version"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_cudnn_version" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_cudnn_version</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_cudnn_version"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_cudnn_version" title="Link to this definition">#</a></dt>
 <dd><p>Get the CuDNN version</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -486,7 +562,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.get_gpu_info">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_gpu_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_gpu_info"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_gpu_info" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_gpu_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_gpu_info"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_gpu_info" title="Link to this definition">#</a></dt>
 <dd><p>Get information of GPUs.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -501,7 +577,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.gpu_utils.get_number_gpus">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_number_gpus</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_number_gpus"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_number_gpus" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.gpu_utils.</span></span><span class="sig-name descname"><span class="pre">get_number_gpus</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/gpu_utils.html#get_number_gpus"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.gpu_utils.get_number_gpus" title="Link to this definition">#</a></dt>
 <dd><p>Get the number of GPUs in the system.
 :returns: Number of GPUs.
 :rtype: int</p>
@@ -509,10 +585,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.k8s_utils">
-<span id="kubernetes-utilities"></span><h2>Kubernetes utilities<a class="headerlink" href="#module-recommenders.utils.k8s_utils" title="Permalink to this heading">#</a></h2>
+<span id="kubernetes-utilities"></span><h2>Kubernetes utilities<a class="headerlink" href="#module-recommenders.utils.k8s_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.k8s_utils.nodes_to_replicas">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">nodes_to_replicas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_cores_per_node</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu_cores_per_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#nodes_to_replicas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.nodes_to_replicas" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">nodes_to_replicas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_cores_per_node</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu_cores_per_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#nodes_to_replicas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.nodes_to_replicas" title="Link to this definition">#</a></dt>
 <dd><p>Provide a rough estimate of the number of replicas supported by a
 given number of nodes with n_cores_per_node cores each</p>
 <dl class="field-list simple">
@@ -537,7 +613,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.k8s_utils.qps_to_replicas">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">qps_to_replicas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target_qps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processing_time</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_qp_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_utilization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#qps_to_replicas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.qps_to_replicas" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">qps_to_replicas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target_qps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processing_time</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_qp_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_utilization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#qps_to_replicas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.qps_to_replicas" title="Link to this definition">#</a></dt>
 <dd><p>Provide a rough estimate of the number of replicas to support a given
 load (queries per second)</p>
 <dl class="field-list simple">
@@ -561,7 +637,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.k8s_utils.replicas_to_qps">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">replicas_to_qps</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_replicas</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processing_time</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_qp_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_utilization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#replicas_to_qps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.replicas_to_qps" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.k8s_utils.</span></span><span class="sig-name descname"><span class="pre">replicas_to_qps</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_replicas</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processing_time</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_qp_replica</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_utilization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/k8s_utils.html#replicas_to_qps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.k8s_utils.replicas_to_qps" title="Link to this definition">#</a></dt>
 <dd><p>Provide a rough estimate of the queries per second supported by a number of replicas</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -583,10 +659,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.notebook_utils">
-<span id="notebook-utilities"></span><h2>Notebook utilities<a class="headerlink" href="#module-recommenders.utils.notebook_utils" title="Permalink to this heading">#</a></h2>
+<span id="notebook-utilities"></span><h2>Notebook utilities<a class="headerlink" href="#module-recommenders.utils.notebook_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.execute_notebook">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">execute_notebook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_notebook</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_notebook</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'python3'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2200</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#execute_notebook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.execute_notebook" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">execute_notebook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_notebook</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_notebook</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'python3'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2200</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#execute_notebook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.execute_notebook" title="Link to this definition">#</a></dt>
 <dd><p>Execute a notebook while passing parameters to it.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -609,7 +685,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.is_databricks">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">is_databricks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#is_databricks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.is_databricks" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">is_databricks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#is_databricks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.is_databricks" title="Link to this definition">#</a></dt>
 <dd><p>Check if the module is running on Databricks.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -624,7 +700,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.is_jupyter">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">is_jupyter</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#is_jupyter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.is_jupyter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">is_jupyter</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#is_jupyter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.is_jupyter" title="Link to this definition">#</a></dt>
 <dd><p>Check if the module is running on Jupyter notebook/console.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -639,7 +715,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.read_notebook">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">read_notebook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#read_notebook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.read_notebook" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">read_notebook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#read_notebook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.read_notebook" title="Link to this definition">#</a></dt>
 <dd><p>Read the metadata stored in the notebook’s output source code.
 This function is similar to snapbook.read_notebook().</p>
 <dl class="field-list simple">
@@ -657,7 +733,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_utils.store_metadata">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">store_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#store_metadata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.store_metadata" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_utils.</span></span><span class="sig-name descname"><span class="pre">store_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_utils.html#store_metadata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_utils.store_metadata" title="Link to this definition">#</a></dt>
 <dd><p>Store data in the notebook’s output source code.
 This function is similar to snapbook.glue().</p>
 <dl class="field-list simple">
@@ -670,36 +746,36 @@ <h2> Contents </h2>
 </dl>
 </dd></dl>
 
-<span class="target" id="module-recommenders.utils.notebook_memory_management"></span><dl class="py function">
+<dl class="py function" id="module-recommenders.utils.notebook_memory_management">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_memory_management.pre_run_cell">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">pre_run_cell</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#pre_run_cell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.pre_run_cell" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">pre_run_cell</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#pre_run_cell"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.pre_run_cell" title="Link to this definition">#</a></dt>
 <dd><p>Capture current time before we execute the current command</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_memory_management.start_watching_memory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">start_watching_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#start_watching_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.start_watching_memory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">start_watching_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#start_watching_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.start_watching_memory" title="Link to this definition">#</a></dt>
 <dd><p>Register memory profiling tools to IPython instance.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_memory_management.stop_watching_memory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">stop_watching_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#stop_watching_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.stop_watching_memory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">stop_watching_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#stop_watching_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.stop_watching_memory" title="Link to this definition">#</a></dt>
 <dd><p>Unregister memory profiling tools from IPython instance.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.notebook_memory_management.watch_memory">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">watch_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#watch_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.watch_memory" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.notebook_memory_management.</span></span><span class="sig-name descname"><span class="pre">watch_memory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/notebook_memory_management.html#watch_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.notebook_memory_management.watch_memory" title="Link to this definition">#</a></dt>
 <dd><p>Bring in the global memory usage value from the previous iteration</p>
 </dd></dl>
 
 </section>
 <section id="module-recommenders.utils.python_utils">
-<span id="python-utilities"></span><h2>Python utilities<a class="headerlink" href="#module-recommenders.utils.python_utils" title="Permalink to this heading">#</a></h2>
+<span id="python-utilities"></span><h2>Python utilities<a class="headerlink" href="#module-recommenders.utils.python_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.binarize">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">binarize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#binarize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.binarize" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">binarize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#binarize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.binarize" title="Link to this definition">#</a></dt>
 <dd><p>Binarize the values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -719,7 +795,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.cosine_similarity">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">cosine_similarity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#cosine_similarity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.cosine_similarity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">cosine_similarity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#cosine_similarity"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.cosine_similarity" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Cosine similarity of a matrix of
 co-occurrences.</p>
 <p>Cosine similarity can be interpreted as the angle between the i-th
@@ -739,7 +815,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.exponential_decay">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">exponential_decay</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_val</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">half_life</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#exponential_decay"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.exponential_decay" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">exponential_decay</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_val</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">half_life</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#exponential_decay"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.exponential_decay" title="Link to this definition">#</a></dt>
 <dd><p>Compute decay factor for a given value based on an exponential decay.</p>
 <p>Values greater than <cite>max_val</cite> will be set to 1.</p>
 <dl class="field-list simple">
@@ -761,7 +837,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.get_top_k_scored_items">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">get_top_k_scored_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scores</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#get_top_k_scored_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.get_top_k_scored_items" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">get_top_k_scored_items</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scores</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_top_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#get_top_k_scored_items"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.get_top_k_scored_items" title="Link to this definition">#</a></dt>
 <dd><p>Extract top K items from a matrix of scores for each user-item pair, optionally sort results per user.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -786,7 +862,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.inclusion_index">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">inclusion_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#inclusion_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.inclusion_index" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">inclusion_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#inclusion_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.inclusion_index" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Inclusion Index of a matrix of
 co-occurrences.</p>
 <p>Inclusion index measures the overlap between items.</p>
@@ -805,7 +881,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.jaccard">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">jaccard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#jaccard"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.jaccard" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">jaccard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#jaccard"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.jaccard" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Jaccard similarity of a matrix of
 co-occurrences.  When comparing Jaccard with count co-occurrence
 and lift similarity, count favours predictability, meaning that
@@ -829,7 +905,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.lexicographers_mutual_information">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">lexicographers_mutual_information</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#lexicographers_mutual_information"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.lexicographers_mutual_information" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">lexicographers_mutual_information</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#lexicographers_mutual_information"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.lexicographers_mutual_information" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Lexicographers Mutual Information of
 a matrix of co-occurrences.</p>
 <p>Due to the bias of mutual information for low frequency items,
@@ -850,7 +926,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.lift">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">lift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#lift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.lift" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">lift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#lift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.lift" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Lift of a matrix of
 co-occurrences. In comparison with basic co-occurrence and Jaccard
 similarity, lift favours discoverability and serendipity, as
@@ -871,7 +947,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.mutual_information">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">mutual_information</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#mutual_information"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.mutual_information" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">mutual_information</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cooccurrence</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#mutual_information"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.mutual_information" title="Link to this definition">#</a></dt>
 <dd><p>Helper method to calculate the Mutual Information of a matrix of
 co-occurrences.</p>
 <p>Mutual information is a measurement of the amount of information
@@ -891,7 +967,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.python_utils.rescale">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">rescale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#rescale"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.rescale" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.python_utils.</span></span><span class="sig-name descname"><span class="pre">rescale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/python_utils.html#rescale"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.python_utils.rescale" title="Link to this definition">#</a></dt>
 <dd><p>Rescale/normalize the data to be within the range <cite>[new_min, new_max]</cite>
 If data_min and data_max are explicitly provided, they will be used
 as the old min/max values instead of taken from the data.</p>
@@ -921,10 +997,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.spark_utils">
-<span id="spark-utilities"></span><h2>Spark utilities<a class="headerlink" href="#module-recommenders.utils.spark_utils" title="Permalink to this heading">#</a></h2>
+<span id="spark-utilities"></span><h2>Spark utilities<a class="headerlink" href="#module-recommenders.utils.spark_utils" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.spark_utils.start_or_get_spark">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.spark_utils.</span></span><span class="sig-name descname"><span class="pre">start_or_get_spark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">app_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'local[*]'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'10g'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">packages</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">jars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repositories</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/spark_utils.html#start_or_get_spark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.spark_utils.start_or_get_spark" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.spark_utils.</span></span><span class="sig-name descname"><span class="pre">start_or_get_spark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">app_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Sample'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'local[*]'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'10g'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">packages</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">jars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repositories</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/spark_utils.html#start_or_get_spark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.spark_utils.start_or_get_spark" title="Link to this definition">#</a></dt>
 <dd><p>Start Spark if not started</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -949,20 +1025,20 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.tf_utils">
-<span id="tensorflow-utilities"></span><h2>Tensorflow utilities<a class="headerlink" href="#module-recommenders.utils.tf_utils" title="Permalink to this heading">#</a></h2>
+<span id="tensorflow-utilities"></span><h2>Tensorflow utilities<a class="headerlink" href="#module-recommenders.utils.tf_utils" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.MetricsLogger">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">MetricsLogger</span></span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">MetricsLogger</span></span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger" title="Link to this definition">#</a></dt>
 <dd><p>Metrics logger</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.MetricsLogger.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.__init__" title="Link to this definition">#</a></dt>
 <dd><p>Initializer</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.MetricsLogger.get_log">
-<span class="sig-name descname"><span class="pre">get_log</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.get_log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.get_log" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_log</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.get_log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.get_log" title="Link to this definition">#</a></dt>
 <dd><p>Getter</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -976,7 +1052,7 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.MetricsLogger.log">
-<span class="sig-name descname"><span class="pre">log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metric</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.log" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metric</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#MetricsLogger.log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.MetricsLogger.log" title="Link to this definition">#</a></dt>
 <dd><p>Log metrics. Each metric’s log will be stored in the corresponding list.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -992,7 +1068,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.build_optimizer">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">build_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#build_optimizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.build_optimizer" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">build_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#build_optimizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.build_optimizer" title="Link to this definition">#</a></dt>
 <dd><p>Get an optimizer for TensorFlow high-level API Estimator.</p>
 <p>Available options are: <cite>adadelta</cite>, <cite>adagrad</cite>, <cite>adam</cite>, <cite>ftrl</cite>, <cite>momentum</cite>, <cite>rmsprop</cite> or <cite>sgd</cite>.</p>
 <dl class="field-list simple">
@@ -1014,7 +1090,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.evaluation_log_hook">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">evaluation_log_hook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">every_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_fns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">eval_kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#evaluation_log_hook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.evaluation_log_hook" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">evaluation_log_hook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_col</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">every_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_fns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">eval_kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#evaluation_log_hook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.evaluation_log_hook" title="Link to this definition">#</a></dt>
 <dd><p>Evaluation log hook for TensorFlow high-level API Estimator.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -1035,7 +1111,7 @@ <h2> Contents </h2>
 <li><p><strong>model_dir</strong> (<em>str</em>) – Model directory to save the summaries to. If None, does not record.</p></li>
 <li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples fed into the model at a time.
 Note, the batch size doesn’t affect on evaluation results.</p></li>
-<li><p><strong>eval_fns</strong> (<em>iterable of functions</em>) – List of evaluation functions that have signature of
+<li><p><strong>eval_fns</strong> (<em>iterable</em><em> of </em><em>functions</em>) – List of evaluation functions that have signature of
 <cite>(true_df, prediction_df, **eval_kwargs)</cite>-&gt;`float`. If None, loss is calculated on <cite>true_df</cite>.</p></li>
 <li><p><strong>eval_kwargs</strong> – Evaluation function’s keyword arguments.
 Note, prediction column name should be ‘prediction’</p></li>
@@ -1052,7 +1128,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.export_model">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_input_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_input_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tf_feat_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#export_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_input_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_input_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tf_feat_cols</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#export_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.export_model" title="Link to this definition">#</a></dt>
 <dd><p>Export TensorFlow estimator (model).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1075,7 +1151,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.pandas_input_fn">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">pandas_input_fn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#pandas_input_fn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.pandas_input_fn" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">pandas_input_fn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_col</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#pandas_input_fn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.pandas_input_fn" title="Link to this definition">#</a></dt>
 <dd><p>Pandas input function for TensorFlow high-level API Estimator.
 This function returns a <cite>tf.data.Dataset</cite> function.</p>
 <div class="admonition note">
@@ -1105,7 +1181,7 @@ <h2> Contents </h2>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.tf_utils.pandas_input_fn_for_saved_model">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">pandas_input_fn_for_saved_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feat_name_type</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#pandas_input_fn_for_saved_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.tf_utils.</span></span><span class="sig-name descname"><span class="pre">pandas_input_fn_for_saved_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feat_name_type</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/tf_utils.html#pandas_input_fn_for_saved_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model" title="Link to this definition">#</a></dt>
 <dd><p>Pandas input function for TensorFlow SavedModel.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1126,10 +1202,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.timer">
-<span id="timer"></span><h2>Timer<a class="headerlink" href="#module-recommenders.utils.timer" title="Permalink to this heading">#</a></h2>
+<span id="timer"></span><h2>Timer<a class="headerlink" href="#module-recommenders.utils.timer" title="Link to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.utils.timer.</span></span><span class="sig-name descname"><span class="pre">Timer</span></span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">recommenders.utils.timer.</span></span><span class="sig-name descname"><span class="pre">Timer</span></span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer" title="Link to this definition">#</a></dt>
 <dd><p>Timer class.</p>
 <p><a class="reference external" href="https://github.com/miguelgfierro/pybase/blob/2298172a13fb4a243754acbc6029a4a2dcf72c20/log_base/timer.py">Original code</a>.</p>
 <p class="rubric">Examples</p>
@@ -1150,12 +1226,12 @@ <h2> Contents </h2>
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.__init__" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.__init__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.__init__" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
 <dl class="py property">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer.interval">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">interval</span></span><a class="headerlink" href="#recommenders.utils.timer.Timer.interval" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">interval</span></span><a class="headerlink" href="#recommenders.utils.timer.Timer.interval" title="Link to this definition">#</a></dt>
 <dd><p>Get time interval in seconds.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
@@ -1169,13 +1245,13 @@ <h2> Contents </h2>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer.start">
-<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.start"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.start" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.start"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.start" title="Link to this definition">#</a></dt>
 <dd><p>Start the timer.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="recommenders.utils.timer.Timer.stop">
-<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.stop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.stop" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/timer.html#Timer.stop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.timer.Timer.stop" title="Link to this definition">#</a></dt>
 <dd><p>Stop the timer. Calculate the interval in seconds.</p>
 </dd></dl>
 
@@ -1183,10 +1259,10 @@ <h2> Contents </h2>
 
 </section>
 <section id="module-recommenders.utils.plot">
-<span id="plot-utilities"></span><h2>Plot utilities<a class="headerlink" href="#module-recommenders.utils.plot" title="Permalink to this heading">#</a></h2>
+<span id="plot-utilities"></span><h2>Plot utilities<a class="headerlink" href="#module-recommenders.utils.plot" title="Link to this heading">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="recommenders.utils.plot.line_graph">
-<span class="sig-prename descclassname"><span class="pre">recommenders.utils.plot.</span></span><span class="sig-name descname"><span class="pre">line_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">values</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_guides</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_min_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_min_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">legend_loc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subplot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(5,</span> <span class="pre">5)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/plot.html#line_graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.plot.line_graph" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">recommenders.utils.plot.</span></span><span class="sig-name descname"><span class="pre">line_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">values</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_guides</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_min_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_min_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">legend_loc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subplot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(5,</span> <span class="pre">5)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/recommenders/utils/plot.html#line_graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#recommenders.utils.plot.line_graph" title="Link to this definition">#</a></dt>
 <dd><p>Plot line graph(s).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1267,15 +1343,83 @@ <h2> Contents </h2>
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.general_utils">General utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.gpu_utils">GPU utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.k8s_utils">Kubernetes utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.notebook_utils">Notebook utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.python_utils">Python utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.spark_utils">Spark utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.tf_utils">Tensorflow utilities</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.timer">Timer</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.plot">Plot utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.general_utils">General utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.get_number_processors"><code class="docutils literal notranslate"><span class="pre">get_number_processors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.get_physical_memory"><code class="docutils literal notranslate"><span class="pre">get_physical_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.general_utils.invert_dictionary"><code class="docutils literal notranslate"><span class="pre">invert_dictionary()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.gpu_utils">GPU utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.clear_memory_all_gpus"><code class="docutils literal notranslate"><span class="pre">clear_memory_all_gpus()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_cuda_version"><code class="docutils literal notranslate"><span class="pre">get_cuda_version()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_cudnn_version"><code class="docutils literal notranslate"><span class="pre">get_cudnn_version()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_gpu_info"><code class="docutils literal notranslate"><span class="pre">get_gpu_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.gpu_utils.get_number_gpus"><code class="docutils literal notranslate"><span class="pre">get_number_gpus()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.k8s_utils">Kubernetes utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.nodes_to_replicas"><code class="docutils literal notranslate"><span class="pre">nodes_to_replicas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.qps_to_replicas"><code class="docutils literal notranslate"><span class="pre">qps_to_replicas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.k8s_utils.replicas_to_qps"><code class="docutils literal notranslate"><span class="pre">replicas_to_qps()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.notebook_utils">Notebook utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.execute_notebook"><code class="docutils literal notranslate"><span class="pre">execute_notebook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.is_databricks"><code class="docutils literal notranslate"><span class="pre">is_databricks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.is_jupyter"><code class="docutils literal notranslate"><span class="pre">is_jupyter()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.read_notebook"><code class="docutils literal notranslate"><span class="pre">read_notebook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_utils.store_metadata"><code class="docutils literal notranslate"><span class="pre">store_metadata()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.pre_run_cell"><code class="docutils literal notranslate"><span class="pre">pre_run_cell()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.start_watching_memory"><code class="docutils literal notranslate"><span class="pre">start_watching_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.stop_watching_memory"><code class="docutils literal notranslate"><span class="pre">stop_watching_memory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.notebook_memory_management.watch_memory"><code class="docutils literal notranslate"><span class="pre">watch_memory()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.python_utils">Python utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.binarize"><code class="docutils literal notranslate"><span class="pre">binarize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.cosine_similarity"><code class="docutils literal notranslate"><span class="pre">cosine_similarity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.exponential_decay"><code class="docutils literal notranslate"><span class="pre">exponential_decay()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.get_top_k_scored_items"><code class="docutils literal notranslate"><span class="pre">get_top_k_scored_items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.inclusion_index"><code class="docutils literal notranslate"><span class="pre">inclusion_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.jaccard"><code class="docutils literal notranslate"><span class="pre">jaccard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.lexicographers_mutual_information"><code class="docutils literal notranslate"><span class="pre">lexicographers_mutual_information()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.lift"><code class="docutils literal notranslate"><span class="pre">lift()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.mutual_information"><code class="docutils literal notranslate"><span class="pre">mutual_information()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.python_utils.rescale"><code class="docutils literal notranslate"><span class="pre">rescale()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.spark_utils">Spark utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.spark_utils.start_or_get_spark"><code class="docutils literal notranslate"><span class="pre">start_or_get_spark()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.tf_utils">Tensorflow utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger"><code class="docutils literal notranslate"><span class="pre">MetricsLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.__init__"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.get_log"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.get_log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.MetricsLogger.log"><code class="docutils literal notranslate"><span class="pre">MetricsLogger.log()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.build_optimizer"><code class="docutils literal notranslate"><span class="pre">build_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.evaluation_log_hook"><code class="docutils literal notranslate"><span class="pre">evaluation_log_hook()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.export_model"><code class="docutils literal notranslate"><span class="pre">export_model()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.pandas_input_fn"><code class="docutils literal notranslate"><span class="pre">pandas_input_fn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.tf_utils.pandas_input_fn_for_saved_model"><code class="docutils literal notranslate"><span class="pre">pandas_input_fn_for_saved_model()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.timer">Timer</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer"><code class="docutils literal notranslate"><span class="pre">Timer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.__init__"><code class="docutils literal notranslate"><span class="pre">Timer.__init__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.interval"><code class="docutils literal notranslate"><span class="pre">Timer.interval</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.start"><code class="docutils literal notranslate"><span class="pre">Timer.start()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.timer.Timer.stop"><code class="docutils literal notranslate"><span class="pre">Timer.stop()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-recommenders.utils.plot">Plot utilities</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#recommenders.utils.plot.line_graph"><code class="docutils literal notranslate"><span class="pre">line_graph()</span></code></a></li>
+</ul>
+</li>
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