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prepare release 2.6.3
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Paul Westenthanner committed Oct 29, 2023
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6 changes: 6 additions & 0 deletions CHANGELOG.md
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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
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2 changes: 1 addition & 1 deletion category_encoders/__init__.py
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from category_encoders.quantile_encoder import QuantileEncoder, SummaryEncoder


__version__ = '2.6.2'
__version__ = '2.6.3'

__author__ = "willmcginnis", "cmougan", "paulwestenthanner"

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4 changes: 2 additions & 2 deletions docs/source/index.rst
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the cols parameter isn't passed, every non-numeric column will be converted. See below for detailed documentation

Known issues:
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`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

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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
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