Intel® Extension for Scikit-learn* is happy to introduce 2025.0.0 release!
:rotating_light: What's New
* Introduced new Intel® Extension for Scikit-learn* functionality:
* Enabled functional support for Array API
* k-Means algorithm is moved out of preview namespace
* SHAP value support for XGBoost's binary classification models
* SPMD interfaces support: `IncrementalLinearRegression`, `IncrementalPCA`, `IncrementalEmpiricalCovariance`
:beetle: Bug Fixes
* Fix issues with sklearn conformance for preview Ridge for 2024.6.0
* Fix on preview ridge tests having too little error tolerance for coefficients assertions
* Fix for Logistic Regression loss scaling
* Fix to prevent `support_usm_ndarray` from changing queue if explicitly provided
* Fix Multivariate Ridge Regression coefficients
* Fix circular import in daal4py/sklearnex device_offloading
* Align sklearnex `BasicStatistics._onedal_fit` with other algos
:x: Deprecation Notice
* Removed Python 3.8 support
Acknowledgements
Thanks to everyone who helped us make 2025.0.0 release possible!
Alexsandruss, Alexandr-Solovev, Vika-F, icfaust, napetrov, maria-Petrova, ahuber21, ethanglaser, samir-nasibli, aepanchi, emmwalsh, olegkkruglov, razdoburdin, avolkov-intel, md-shafiul-alam, david-cortes-intel
**Full Changelog**: https://github.com/intel/scikit-learn-intelex/compare/2024.7.0...2025.0.0