versioned up to 0.0.16a

README.md

@@ -63,7 +63,7 @@ If you use `model_tuner` in your research or projects, please consider citing it
   month        = jul,
   year         = 2024,
   publisher    = {Zenodo},
-  version      = {0.0.15a},
+  version      = {0.0.16a},
   doi          = {10.5281/zenodo.12727322},
   url          = {https://doi.org/10.5281/zenodo.12727322}
 }

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "model_tuner"
-version = "0.0.15a"
+version = "0.0.16a"
 description = "A Python library for tuning machine learning models."
 readme = { file = "README.md", content-type = "text/markdown" }
 authors = [

requirements.txt

@@ -30,35 +30,35 @@
 ############################ Python 3.8, 3.9, 3.10 #############################
 ################################################################################
 
-pip==24.2
-setuptools==75.1.0
-wheel==0.44.0
-scikit-optimize==0.10.2
-numpy>=1.19.5, <1.24
-pandas>=1.3.5, <2.2.2
-scikit-learn>=1.0.2, <1.3
-scipy>=1.6.3, <1.11
-imbalanced-learn==0.12.4
-tqdm==4.66.4
--e .
-
-catboost==1.2.7
-xgboost==1.6.2
-###############################################################################
-############################ Python 3.11 and above #############################
-################################################################################
-
 # pip==24.2
 # setuptools==75.1.0
 # wheel==0.44.0
-# numpy==1.26
-# pandas==2.2.2
-# scikit-learn==1.5.1
-# scipy==1.14.0
+# scikit-optimize==0.10.2
+# numpy>=1.19.5, <1.24
+# pandas>=1.3.5, <2.2.2
+# scikit-learn>=1.0.2, <1.3
+# scipy>=1.6.3, <1.11
 # imbalanced-learn==0.12.4
 # tqdm==4.66.4
 # -e .
 
 # catboost==1.2.7
 # xgboost==1.6.2
-# scikit-optimize==0.10.2
+###############################################################################
+############################ Python 3.11 and above #############################
+################################################################################
+
+pip==24.2
+setuptools==75.1.0
+wheel==0.44.0
+numpy==1.26
+pandas==2.2.2
+scikit-learn==1.5.1
+scipy==1.14.0
+imbalanced-learn==0.12.4
+tqdm==4.66.4
+-e .
+
+catboost==1.2.7
+xgboost==1.6.2
+scikit-optimize==0.10.2

src/model_tuner/__init__.py

@@ -1,15 +1,26 @@
-"""
+"""  
+
++*****************************************************************+
+*      __  __           _      _   _____                          * 
+*     |  \/  | ___   __| | ___| | |_   _|   _ _ __   ___ _ __     *
+*     | |\/| |/ _ \ / _` |/ _ \ |   | || | | | '_ \ / _ \ '__|    *
+*     | |  | | (_) | (_| |  __/ |   | || |_| | | | |  __/ |       *
+*     |_|  |_|\___/ \__,_|\___|_|   |_| \__,_|_| |_|\___|_|       *
+*                                                                 *
++*****************************************************************+
+                                                               
 The `model_tuner` library is a versatile and powerful tool designed to 
 facilitate the training, evaluation, and tuning of machine learning models. 
 It supports various functionalities such as handling imbalanced data, applying 
 different scaling and imputation techniques, calibrating models, and conducting 
 cross-validation. This library is particularly useful for model selection, 
 hyperparameter tuning, and ensuring optimal performance across different metrics.
 
-Version: 0.0.15a
+Version: 0.0.16a
+
 """
 
-__version__ = "0.0.15a"
+__version__ = "0.0.16a"
 __author__ = "Arthur Funnell, Leonid Shpaner, Panayiotis Petousis"
 __email__ = "[email protected]; [email protected]; [email protected]"