Contents

scikit-learn-intelex 2023.2.1

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

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

Stars: 1009, Watchers: 1009, Forks: 164, Open Issues: 52

The intel/scikit-learn-intelex repo was created 4 years ago and the last code push was 7 hours ago.
The project is very popular with an impressive 1009 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
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 52 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

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