scikit-learn-intelex 2024.2.0

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

Stars: 1149, Watchers: 1149, Forks: 165, Open Issues: 72

The intel/scikit-learn-intelex repo was created 5 years ago and the last code push was 53 minutes ago.
The project is very popular with an impressive 1149 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 v2.0

Homepage

https://github.com/intel/scikit-learn-intelex

PyPi:

https://pypi.org/project/scikit-learn-intelex/

Documentation:

https://intel.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 72 open issues on GitHub

• Performance improvement for preview ensemble algorithms (RF and ET)
• Remove check for NAN for GBT Estimators
• Unable to use sklearnex after building daal4py from source
• Model builders API update
• Add random_state to seed for onedal preview RF/ET
• FIX: avoid extra converts
• Building scikit-learn-intelex with openblas/lapack math library with openmp
• Integrating OneDAL primitives for LogisticRegression
• ENH: using CCL backend
• Dependency Dashboard
• [PCA] nComponents doesn't work in distributed mode
• Action Required: Fix Renovate Configuration
• Operate on MPI communicator other than COMM_WORLD
• Algorithms cannot be pickle'd

See more issues on GitHub