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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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