Intel® oneAPI Data Analytics Library 2021.5
The release introduces the following changes:
📚 Support Materials
The following additional materials were created:
-
oneDAL samples:
-
Intel® Extension for Scikit-learn samples:
- 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
- Demo samples of the Modin usage
-
daal4py samples:
- An example of Catboost converter usage
-
Kaggle kernels for Intel® Extension for Scikit-learn:
- [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
🛠️ Library Engineering
- Reduced the size of oneDAL library by approximately ~15%.
🚨 What's New
- Introduced new oneDAL functionality:
- Distributed algorithms for Covariance, DBSCAN, Decision Forest, Low Order Moments
- oneAPI interfaces for Linear Regression, DBSCAN, KNN
- Improved error handling for distributed algorithms in oneDAL in case of compute nodes failures
- Improved performance for the following oneDAL algorithms:
- Louvain algorithm
- KNN and SVM algorithms on GPU
- Introduced new functionality for Intel® Extension for Scikit-learn:
- Scikit-learn 1.0 support
- Fixed the following issues:
- Stabilized the results of Linear Regression in oneDAL and Intel® Extension for Scikit-learn
- Fixed an issue with RPATH on MacOS