to propagate environment variables to all nodes using pdsh for remote execution.
- Improvements to data collection and messaging for several frameworks.
- Changes to third-party components for resolution of CVEs to those components.
• Intel Data Analytics Acceleration Library:
- Improved Intel DAAL and daal4py performance for certain algorithms.
- Acceleration of KNeighborsClassifier, RandomForestClassifier, and RandomForestRegressor scikit-learn estimator.
- Conversion of trained XGBoost and LightGBM models into a daal4py Gradient Boosted Trees model for fast prediction.
• Intel Distribution for Python:
- Releasing scikit-ipp1.2.0 for image warping, image filtering, and morphological operations with scikit-image like API.
- Releasing mkl_umath Python package for Intel technologies-powered NumPy universal function.
- Added new features for some functions