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:
you can boost training speed ~ x2 for this simple case.
All relevant documentation you can find here
HINT:
After patch you have to import sklearn (NOT BEFORE)
Try it yourself and have a happy ML-ing...
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
patch_sklearn()you can boost training speed ~ x2 for this simple case.
All relevant documentation you can find here
HINT:
After patch you have to import sklearn (NOT BEFORE)
Try it yourself and have a happy ML-ing...
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