From 26ef26106fcbadb281c162b76258955f66f2c741 Mon Sep 17 00:00:00 2001 From: Paul Westenthanner Date: Sun, 29 Oct 2023 21:26:57 +0100 Subject: [PATCH] prepare release 2.6.3 --- CHANGELOG.md | 6 ++++++ category_encoders/__init__.py | 2 +- docs/source/index.rst | 4 ++-- 3 files changed, 9 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 4928583c..5589eeb5 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,12 @@ unreleased ========== +v2.6.3 +====== +* fixed: issue 424 - pandas NaNs +* fixed: pandas deprecations and ruff linter suggestions +* fixed: issue 421 - detect pandas categorical type as categorical column + v2.6.2 ====== * fixed: issue 414 - broken link diff --git a/category_encoders/__init__.py b/category_encoders/__init__.py index 63df9830..88c75cad 100644 --- a/category_encoders/__init__.py +++ b/category_encoders/__init__.py @@ -28,7 +28,7 @@ from category_encoders.quantile_encoder import QuantileEncoder, SummaryEncoder -__version__ = '2.6.2' +__version__ = '2.6.3' __author__ = "willmcginnis", "cmougan", "paulwestenthanner" diff --git a/docs/source/index.rst b/docs/source/index.rst index 43994101..3bd1d1c9 100755 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -75,7 +75,7 @@ All of these are fully compatible sklearn transformers, so they can be used in p the cols parameter isn't passed, every non-numeric column will be converted. See below for detailed documentation Known issues: ----- +------------- `CategoryEncoders` internally works with `pandas DataFrames` as apposed to `sklearn` which works with `numpy arrays`. This can cause problems in `sklearn` versions prior to 1.2.0. In order to ensure full compatibility with `sklearn` set `sklearn` to also output `DataFrames`. This can be done by @@ -97,7 +97,7 @@ for a whole project or just for a single pipeline using If you experience another bug, feel free to report it on [github](https://github.com/scikit-learn-contrib/category_encoders/issues) Contents: ----- +--------- .. toctree:: :maxdepth: 3