Scikit-learn-intelex

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)

The release of **Intel® Extension for Scikit-learn 2023.2.0** introduces the following changes:

:x: Deprecation Notice
- The compression functionality in the **Intel® oneDAL** library is deprecated. Starting with the 2024.0 release, oneDAL will not support the compression functionality
- The DAAL CPP SYCL Interfaces in the **Intel® oneDAL** library are deprecated. Starting with the 2024.0 release, oneDAL will not support the DAAL CPP SYCL Interfaces
- The Java* interfaces in the **Intel® oneDAL** library are marked as deprecated. The future releases of the oneDAL library may no longer include support for these Java* interfaces
- ABI compatibility is to be broken as part of the 2024.0 release of **Intel® oneDAL**. The library’s major version is to be incremented to two to enforce the relinking of existing applications
- macOS* support is deprecated for oneDAL. The 2023.x releases are the last to provide it


🛠️ Library Engineering

- CSR tables interface has been changed and moved from detail namespace

🚨 What's New

- Introduced new **Intel® oneDAL** functionality:
- Distributed KMeans++ algorithm
- Logistic Loss objective algorithm
- Introduced new functionality for **Intel® Extension for Scikit-learn**:
- NaN(missing values) support was added to Model Builders
- Improved performance for the following **Intel® Extension for Scikit-learn** algorithms:
- Model Builders performance has been improved up to 2x

The release of **Intel® Extension for Scikit-learn 2023.1.1** introduces the following changes:

🚨 What's New

- Splitting mode for Random Forest algorithm https://github.com/intel/scikit-learn-intelex/commit/4abff0df77475a7e7c3f3da135fdc9dc586f8f1e
- SPMD interface for Random Forest, kNN and PCA https://github.com/intel/scikit-learn-intelex/commit/e887d996a3da57ba75a1cbdaf26d3fea03ad882f, https://github.com/intel/scikit-learn-intelex/commit/97f0d470c5794cd63da18524f65053b89ab4177d, https://github.com/intel/scikit-learn-intelex/commit/2405630020da1563646aef768f12951c6f0d2dc3
- Native support for DPCTL https://github.com/intel/scikit-learn-intelex/commit/ca284998ffb98cb318a8ee6b6a9eb31a68b4d509
- Patching for sklearn's `LocalOutlierFactor` https://github.com/intel/scikit-learn-intelex/commit/7ae01712a75dbda9bf21c9ed444722ff7ac03dd2