Intel Extension for Scikit-learn 2021.3.0 conda environment is introduced.

Speed up your scikit-learn algorithms with the Intel Extension for Scikit-learn conda environment. It uses the Intel oneAPI Data Analytics library. It is simple to use, just import skleanex and run patch_sklearn() to patch scikit-learn so that it runs significantly faster. You don't need to make any other changes to your code. The commands and output are identical, you just have to wait less to get your results. This conda environment is for CPUs. The slug name is sklearnex202130_p37_cpu_v1.

For more information, see Data ScienceADS SDK, and ocifs SDK. Take a look at our Data Science blog