Daal4py

Intel® Extension for Scikit-learn* is happy to introduce 2024.3.0 release!

:rotating_light: What's New

* Introduced new Intel® Extension for Scikit-learn* functionality:
* `model_selection` in sklearnex namespace
* SPMD backend library is separated from dpc backend
* PCA algorithm is moved out of preview namespace

* Improved Intel® Extension for Scikit-learn* performance for the following algorithms:
* PCA

:beetle: Bug Fixes

* Fix `test_patching` routines for intelex-only sklearnex estimators
* Update sklearnex init based on SPMD backend changes
* Fix import error by adding conditional check of `OFF_ONEDAL_IFACE` flag when importing onedal

:x: Deprecation Notice

* Sklearn estimators in onedal4py `LinReg` and `k-Means` algorithms is deprecated for usage


Acknowledgements
Thanks to everyone who helped us make 2024.3.0 release possible!

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

**Full Changelog**: https://github.com/intel/scikit-learn-intelex/compare/2024.2.0...2024.3.0

Intel® Extension for Scikit-learn* is happy to introduce 2024.2.0 release!

:rotating_light: What's New

* Introduced new Intel(R) Extension for Scikit-learn* functionality:
* Incremental Covariance algorithm
* Logistic Regression algorithm is moved out of preview namespace
* SPMD interfaces support: Logistic Regression, Covariance

:hammer: Library Engineering

* Enabled scikit-learn 1.4 support

:beetle: Bug Fixes

* Adjusted `n_jobs` parameter setting
* Updated DPCPP detection in setup
* Fix of k-Means SPMD timeout
* Correct disabling of CatBoost SHAP
* Fix `LocalOutlierFactor` kneighbors method

Acknowledgements
Thanks to everyone who helped us make 2024.2.0 release possible!

Alexsandruss, icfaust, napetrov, ahuber21, ethanglaser, samir-nasibli, aepanchi, olegkkruglov, razdoburdin, maria-Petrova, avolkov-intel

**Full Changelog**: https://github.com/intel/scikit-learn-intelex/compare/2024.1.0...2024.2.0

Intel® Extension for Scikit-learn* is happy to introduce 2024.1.0 release!

:rotating_light: What's New

* New Intel® Extension for Scikit-learn* functionality:
* SHAP support for symmetric CatBoost models
* Added oneDAL LinReg and Covariance hyperparameters API
* Added LogisticRegression interface to the preview section
* Initial support of `n_jobs` parameter

Acknowledgements
Thanks to everyone who helped us make 2024.1.0 release possible!

Alexsandruss, icfaust, napetrov, ahuber21, ethanglaser, samir-nasibli, aepanchi, olegkkruglov, razdoburdin, KulikovNikita, maria-Petrova, avolkov-intel

**Full Changelog**: https://github.com/intel/scikit-learn-intelex/compare/2024.0.1...2024.1.0

Intel® Extension for Scikit-learn* is happy to introduce 2024.0.1 release!

:rotating_light: What's New

* New Intel(R) Extension for Scikit-learn* functionality:
* Linear Regression and ensemble algorithms are moved out of preview namespace
* New Model Builders functionality:
* SHAP calculation is added to GBT regression

:hammer: Library Engineering

* Added Python 3.12 support for daal4py and Intel(R) Extension for Scikit-learn* packages

:books: Support Materials

[Faster XGBoost*, LightGBM, and CatBoost Inference on the CPU](https://www.intel.com/content/www/us/en/developer/articles/technical/faster-xgboost-light-gbm-catboost-inference-on-cpu.html#gs.1m2dxh)
[PS-S3-Ep23-with-scikit-learn-intelex](https://www.kaggle.com/code/napetrov/ps-s3-ep23-with-scikit-learn-intelex)
[pss3e23 fusion_model with scikit-learn-intelex](https://www.kaggle.com/code/napetrov/pss3e23-fusion-model-with-scikit-learn-intelex)
[PS S3E25: Faster regression tuning with sklearnex](https://www.kaggle.com/code/alex97andreev/ps-s3e25-faster-regression-tuning-with-sklearnex)


:twisted_rightwards_arrows: Adoption

[TPOT2 AutoML integration](https://github.com/EpistasisLab/tpot2/pull/102)

Acknowledgements
Thanks to everyone who helped us make 2024.0.1 release possible!

Alexsandruss, icfaust, napetrov, ahuber21, ethanglaser, samir-nasibli, aepanchi, olegkkruglov, razdoburdin, KulikovNikita, maria-Petrova, avolkov-intel

Intel(R) Extension for Scikit-learn* is happy to introduce 2024.0 release!

What's New

* New functionality:
* ``DBSCAN`` and ``SPMD DBSCAN`` algorithms



Acknowledgements
Thanks to everyone who helped us make 2024.0 release possible!

Alexsandruss, icfaust, napetrov, ahuber21, ethanglaser, samir-nasibli, aepanchi, olegkkruglov, razdoburdin, KulikovNikita, maria-Petrova, avolkov-intel

The release of **Intel® Extension for Scikit-learn 2023.2.1** introduces the following changes:

🚨 What's New
- sklearn 1.3 support fixes ([1](https://github.com/intel/scikit-learn-intelex/commit/9eb6afe124bc0c5daa7a4597391b68dc98c55f3b), [2](https://github.com/intel/scikit-learn-intelex/commit/40ccd1cb7108377270dbf09823f0784890c59ae0), [3](https://github.com/intel/scikit-learn-intelex/commit/c40bdda56282b4d7da36f8bc03828a729fc584be))
- [Model builders API update](https://github.com/intel/scikit-learn-intelex/commit/12b963ab487fca9d8291978a575b1c3f07c7e908)