Intel® Extension for Scikit-learn* 2025.1.0

Intel® Extension for Scikit-learn* is happy to introduce 2025.1.0 release!

🚨 What's New

• Introduced new Intel® Extension for Scikit-learn* functionality:
  • Enabled accelerated Linear Regression for overdetermined systems
  • Enabled hyperparameter support for Random Forest classifier inference
  • Enabled serialization in daal4py algorithm classes

🪲 Bug Fixes

• Fixed int overflow in FTI model convertor
• Updated BasicStatistics and IncrementalBasicStatistics to follow additional sklearn conventions
• Fixed n_jobs support coverage to indirectly-supported oneDAL methods
• Fixed KMeans score check in _onedal_*_supported and n_jobs support for score
• Corrected skips in design rule checks (test_common.py) caused by fragile whitelist_to_blacklist
• Fixed test_estimators[LogisticRegression()-check_estimators_unfitted] conformance for gpu support
• Updated functional support fallback logic for a DPNP/DPCTL ndarray inputs
• Fixed an issue in aliased _onedal_cpu_supported and _onedal_gpu_supported in fit_check_before_support_check
• Fixed logic of k-NN algos kneighbors() call when algorithm='brute' and fit with GPU

🔨 Library Engineering

• Added Python 3.13 support for Intel® Extension for Scikit-learn* packages
• Added Sklearn 1.6 support for Intel® Extension for Scikit-learn* packages

Acknowledgements

Thanks to everyone who helped us make 2025.1.0 release possible!

@Alexsandruss, @Alexandr-Solovev, @Vika-F, @david-cortes-intel, @icfaust, @napetrov, @maria-Petrova, @homksei, @ahuber21, @ethanglaser, @samir-nasibli, @olegkkruglov, @razdoburdin, @avolkov-intel, @md-shafiul-alam

Full Changelog: 2025.0.0...2025.1.0