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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.

Intel® Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.

Stars: 1326, Watchers: 1326, Forks: 183, Open Issues: 75

The 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
No  scikit-learn-intelex  pypi packages just yet.

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 logregnewton-cg CPU 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

See more issues on GitHub

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