The release Intel® Extension for Scikit-learn 2021.5 introduces the following changes:
📚 Support Materials
- Kaggle kernels:
- [Tabular Playground Series - Sep 2021] Ridge with sklearn-intelex 2x speedup
- [Tabular Playground Series - Oct 2021] Fast AutoML with Intel Extension for Scikit-learn
- [Titanic – Machine Learning from Disaster] AutoML with Intel Extension for Sklearn
- [Tabular Playground Series - Nov 2021] AutoML with Intel® Extension
- [Tabular Playground Series - Nov 2021] Log Regression with sklearnex 17x speedup
- [Tabular Playground Series - Dec 2021] SVC with sklearnex 20x speedup
- [Tabular Playground Series - Dec 2021] Fast Feature Importance with sklearnex
- Added demo samples of the Intel® Extension for Scikit-learn usage with the performance comparison to original Scikit-learn for ElasticNet, K-means, Lasso Regression, Linear regression, and Ridge Regression
- Added demo samples of the Modin usage
🛠️ Library Engineering
- Reduced the size of oneDAL library by approximately ~15%, this is a required dependency of Intel® extension for scikit learn.
🚨 New Features
- Scikit-learn 1.0 support
🚀 Improved performance
- [GPU]
KNN
algorithm prediction - [GPU]
SVC
andSVR
algorithms training
🐛 Bug Fixes
- Stabilized the results of Linear Regression in oneDAL and Intel® Extension for Scikit-learn
- Fixed an issue with RPATH on MacOS