Accelerate Your scikit-learn Applications - RTInsights

The Intel Distribution for Python (IDP), part of the Intel AI Analytics Toolkit, includes an optimized scikit-learn that accelerates a selection of common estimators (e.g., logistic regression, singular value decomposition, principal component analysis). These functions are built on top of the Intel Data Analytics Acceleration Library (DAAL) so they achieve performance close to that equivalent C programs. The DAAL-powered estimators are implemented in the daal4py package. DAAL's performance comes from efficient use of multiple CPU cores, cache-friendly blocking, and effective use of processor instruction sets. It is tuned to run best on Intel processors.