Add scikit-learn-intelex

[PivovarA]

What is this Python project?

Intel® Extension for Scikit-learn provides drop-in replacement patching functionality for a seamless way to speed up Scikit-learn application. Acceleration is achieved through the use of the Intel® oneAPI Data Analytics Library (oneDAL) and its convenient Python API daal4py powering the extension underneath.

What's the difference between this Python project and similar ones?

• Library uses all capabilities of the hardware, which allows you to get a significant performance boost for the classic machine learning algorithms. Check their patching section and medium articles for more details.

• All optimizations can be easily integrated into scikit-learn application by changing one line of code. Check their get started section for more details.
• The library supports intel GPU. Check their get started section for more details.
• The library allows accelerating the prediction step for XGBoost and LightGBM. Read more here.

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