You can find more detailed information about the toolkit here. To download Intel® Extension for Scikit-Learn* from the Intel® oneAPI AI Analytics Toolkit, visit here and choose the installation method of your choice. It is distributed through several channels – Anaconda, Docker containers, Package managers (Yum, Apt, Zypper) and an online / offline installer from Intel. There are multiple ways to get the toolkit and its components. Intel® oneAPI AI Analytics Toolkit includes Scikit-Learn* alongside Intel® Extension for Scikit-Learn*. Supported Installation Options Install via Intel® oneAPI AI Analytics Toolkit If you do not already have scikit-learn* installed with your setup, upon installation Intel® Extension for Scikit-Learn will install a compatible version of scikit-learn* that can be used along with it.įor more information on which versions of scikit-learn* support Intel® Extension for Scikit-Learn, please review the Intel® Extension for Scikit-Learn* patching documentation. Once enabled, Intel® Extension for Scikit-Learn* will seamlessly accelerate your existing scikit-learn* package. Please note that if you already have one of the latest versions of the scikit-learn* package installed, you do not need to remove or re-install it. We recommend you to use Intel® Extension for Scikit-Learn* instead of daal4py. All future updates for these patches for scikit-learn* will be available only in Intel® Extension for Scikit-learn. Previously, these scikit-learn patch optimizations were available through daal4py, the Python API for Intel® oneAPI Data Analytics Library. This extension package dynamically patches scikit-learn estimators to use Intel® oneAPI Data Analytics Library ( oneDAL) as the underlying solver, while achieving the speed up for your machine learning algorithms. Designed for data scientists, Intel® Extension for Scikit-Learn* is a seamless way to speed up your Scikit-learn applications for machine learning to solve real-world problems.
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