Intel(R) Extension for Scikit-learn 2021.5

[Pahandrovich]

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 and SVR 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

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This discussion was created from the release Intel(R) Extension for Scikit-learn 2021.5.