Scikit-learn-intelex

Extension for Scikit-learn* is happy to introduce 2025.2.0 release!

:rotating_light: What's New

* Introduced new Intel® Extension for Scikit-learn* functionality:
* Enabled linear regression on GPU with non-PSD systems
* Added serialization for `IncrementalBasicStatistics`, `IncrementalEmpiricalCovariance`, `IncrementalPCA`
* Moved Ridge Regression out of preview
* Disabled patching for k-Means(`n_clusters=1`)
* Added sklearnex version of validate_data, _check_sample_weight
* Upgraded `IncrementalLinearRegression` for underdetermined systems
* Enabled new RNG engines support

:beetle: Bug Fixes

* Enabled proper GPU offloading with fp64 support when dpctl unavailable
* Fixed to_table for a non-array input when a low-precision queue is used
* Fixed incremental pca example patching logic

Acknowledgements
Thanks to everyone who helped us make 2025.2.0 release possible!

Alexsandruss, Alexandr-Solovev, Vika-F, david-cortes-intel, icfaust, napetrov, maria-Petrova, homksei, ahuber21, ethanglaser, razdoburdin, avolkov-intel, yuejiaointel,


New Contributors
* yuejiaointel made their first contribution in https://github.com/uxlfoundation/scikit-learn-intelex/pull/2229

**Full Changelog**: https://github.com/uxlfoundation/scikit-learn-intelex/compare/2025.1.0...2025.2.0

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

:rotating_light: 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

:beetle: 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

:hammer: 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**: https://github.com/uxlfoundation/scikit-learn-intelex/compare/2025.0.0...2025.1.0

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

Intel® Extension for Scikit-learn* is happy to introduce 2024.7.0 release!

:rotating_light: What's New

* Introduced new Intel® Extension for Scikit-learn* functionality:
* Sparse data support for `LogisticRegression`
* `Basic Statistic` API improvement
* Added `random_state` warning to SVM probability estimates
* Unified daal4py and sklearnex builds

: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 2024.7.0 release possible!

Alexsandruss, Alexandr-Solovev, Vika-F, icfaust, napetrov, maria-Petrova, ahuber21, ethanglaser, samir-nasibli, aepanchi, emmwalsh, olegkkruglov, razdoburdin, avolkov-intel, md-shafiul-alam

**Full Changelog**: https://github.com/intel/scikit-learn-intelex/compare/2024.6.0...2024.7.0

Intel® Extension for Scikit-learn* is happy to introduce 2024.6.0 release!

:rotating_light: What's New

* Introduced new Intel® Extension for Scikit-learn* functionality:
* `Incremental PCA` algorithm
* NumPy 2.0 support
* scikit-learn 1.5 support
* CSR data support in `Basic Statistics` algorithm

:beetle: Bug Fixes

* Fix incorrect numpy to table conversion on Windows
* Fix issues with dpnp/dpctl regressor score method

Acknowledgements
Thanks to everyone who helped us make 2024.6.0 release possible!

Alexsandruss, Alexandr-Solovev, Vika-F, icfaust, napetrov, maria-Petrova, ahuber21, ethanglaser, samir-nasibli, aepanchi, emmwalsh, olegkkruglov, razdoburdin, avolkov-intel, md-shafiul-alam

**Full Changelog**: https://github.com/intel/scikit-learn-intelex/compare/2024.5.0...2024.6.0

Intel® Extension for Scikit-learn* is happy to introduce 2024.5.0 release!

:rotating_light: What's New

* Introduced new Intel® Extension for Scikit-learn* functionality:
* `IncrementalLinearRegression` interface
* `IncrementalEmpiricalCovariance` interface to `patch_map`

:beetle: Bug Fixes

* Fix dpnp/dpctl F-contiguous data processing

Acknowledgements
Thanks to everyone who helped us make 2024.5.0 release possible!

Alexsandruss, Alexandr-Solovev, Vika-F, icfaust, napetrov, maria-Petrova, ahuber21, ethanglaser, samir-nasibli, aepanchi, emmwalsh, olegkkruglov, razdoburdin, avolkov-intel, md-shafiul-alam

**Full Changelog**: https://github.com/intel/scikit-learn-intelex/compare/2024.4.0...2024.5.0