
scikit-learn-intelex 2025.10.1
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Intel® Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.
Contents
Intel® Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.
Stars: 1326, Watchers: 1326, Forks: 183, Open Issues: 75The uxlfoundation/scikit-learn-intelex repo was created 7 years ago and the last code push was 6 hours ago.
The project is very popular with an impressive 1326 github stars!
How to Install scikit-learn-intelex
You can install scikit-learn-intelex using pip
pip install scikit-learn-intelex
or add it to a project with poetry
poetry add scikit-learn-intelex
Package Details
- Author
- Intel Corporation
- License
- Apache-2.0
- Homepage
- https://github.com/intel/scikit-learn-intelex
- PyPi:
- https://pypi.org/project/scikit-learn-intelex/
- Documentation:
- https://uxlfoundation.github.io/scikit-learn-intelex/
- GitHub Repo:
- https://github.com/intel/scikit-learn-intelex
Classifiers
- Scientific/Engineering
- Software Development
- System
Related Packages
Errors
A list of common scikit-learn-intelex errors.
Code Examples
Here are some scikit-learn-intelex code examples and snippets.
GitHub Issues
The scikit-learn-intelex package has 75 open issues on GitHub
- Minor follow up to test_memory_usage removal
- predict_proba results are (wildly) inconsistent between sklearn.svm.SVC and sklearnex.svm.SVC
- Does not add package
- Clean up onedal4py device offload logic
- FIX, DOC, MAINT: Separate patching maps from sklearnex and daal4py, use unique IDs for patched objects
- MAINT: move logreg
newton-cgCPU solver to preview - sklearn train_test_split index misbehavior
- patch_sklearn() ImportError: DLL load failed while importing _daal4py: The specified module could not be found.
- MAINT: Fix conda recipe for older python versions
- DOC: Add visible warning about not using LogisticRegression in parallel threads
- Extend modelbuilders test set
- FIX: Make global queue objects thread-local
- MAINT: Show sklearn configurations in CI jobs
- FIX: Make detection of nested parallelism look only at what joblib modifies
- DOC: Document serialization of objects
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