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I would like to show you a little example how to boost speed of model training and inference with help of Intel oneAPI.

Just have a look on this standard Jupyter environment with code:

The main idea - with 2 lines of additional code:
from sklearnex import patch_sklearn

you can boost training speed ~ x2 for this simple case.

All relevant documentation you can find here


After patch you have to import sklearn (NOT BEFORE)

Try it yourself and have a happy ML-ing...