uxlfoundation/scikit-learn-intelex

Patching not implemented for GradientBoost Algorithms

Opened this issue · 1 comments

ajay-fuji commented

While running gradientboost regression and classification algorithms, backend used is sklearn and not onedal.
daal4py/sklearn/monkeypatch/dispatcher.py file does not contain mapping for gradientboost. Although while checking for examples, daal4py have gradientboost examples.

Since gradientboost is supported by oneDAL, why patching is not implemented in sklearnex? Is this still in progress or TBD?

napetrov commented

With GBT opts we opted out to focus on XGBoost direct optimization as more influential framework, and for daal4py we focused on model builders - functionality to consume XGBoost, LightGBM, CatBoost models and run faster inference.

scikit gbt was not in focus due to it's limited use, but patching technically can be extended to it as well.

  • 👍3