Intel® Extension for Scikit-learn 2023.1.0
The release of Intel® Extension for Scikit-learn 2023.1 introduces the following changes:
📚Support Materials
🛠️ Library Engineering
- Reduced the size of Intel® oneDAL library by approximately ~30%
🚨 What's New
- Introduced new functionality for Intel® Extension for Scikit-learn:
- Enabled PCA, Linear Regression, Random Forest algorithms and SPMD policy as preview
- Scikit-learn 1.2 support
- sklearn_is_patched() function added to validate status of algorithms patching
- Improved performance for the following Intel® Extension for Scikit-learn algorithms:
- t-SNE for “Burnes-Hut” algorithm
- SVM algorithm for single row inference
❗ Known Issues
- In certain conditions DAAL SYCL interface might hang with L0 backend – please use oneDAL DPC interfaces instead. If older interfaces are required OpenCL backend can be used as workaround.