This library provides drop-in optimizations for scikit-learn using Intel’s oneDAL (oneAPI Data Analytics Library) under the hood. It transparently accelerates common ML algorithms like random forests, gradient boosting, and k-means through hardware-optimized kernels. Users can gain significant speedups in training and inference by simply importing the library, with support for both single-node and distributed configurations.