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v0.23.4 release prep work (#1122)
* 0.23.4 release prep * 0.23.4 release prep
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docs/sources/CHANGELOG.md

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The CHANGELOG for the current development version is available at
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[https://github.com/rasbt/mlxtend/blob/master/docs/sources/CHANGELOG.md](https://github.com/rasbt/mlxtend/blob/master/docs/sources/CHANGELOG.md).
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### Version 0.24.4 (25 Nov 2025)
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##### Downloads
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- [Source code (zip)](https://github.com/rasbt/mlxtend/archive/v0.23.4.zip)
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- [Source code (tar.gz)](https://github.com/rasbt/mlxtend/archive/v0.23.4.tar.gz)
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##### New Features and Enhancements
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- Improved memory efficiency in association rule implementations and now optional `num_itemsets` parameter ([#1121](https://github.com/rasbt/mlxtend/issues/1121) via [zazass8](https://github.com/zazass8))
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##### Changes
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- `np.float_` update to support for NumPy 2.0 ([#1119](https://github.com/rasbt/mlxtend/issues/1119) via [Bot-wxt1221](https://github.com/Bot-wxt1221))
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### Version 0.23.3 (15 Nov 2024)
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##### Changes
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- Address NumPy deprecations to make mlxtend compatible to NumPy 1.24
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- Address NumPy deprecations to make mlxtend compatible to NumPy 1.24
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- Changed the signature of the `LinearRegression` model of sklearn in the test removing the `normalize` parameter as it is deprecated. ([#1036](https://github.com/rasbt/mlxtend/issues/1036))
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- Add `pyproject.toml` to support PEP 518 builds ([#1065](https://github.com/rasbt/mlxtend/issues/1065) via [jmahlik](https://github.com/jmahlik))
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- Fixed installation from sdist failing ([#1065](https://github.com/rasbt/mlxtend/issues/1065) via [jmahlik](https://github.com/jmahlik))
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##### New Features and Enhancements
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- Document how to use `SequentialFeatureSelector` and multiclass ROC AUC.
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- Document how to use `SequentialFeatureSelector` and multiclass ROC AUC.
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### Version 0.22.0 (4 April 2023)
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mlxtend/__init__.py

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#
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# License: BSD 3 clause
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__version__ = "0.23.3"
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__version__ = "0.23.4"

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