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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the About us <https://scikit-learn.org/dev/about.html#authors>__ page for a list of core contributors.

It is currently maintained by a team of volunteers.

Website: https://scikit-learn.org

Installation

Dependencies ~~~~~~~~~~~~

scikit-learn requires:

Python (>= |PythonMinVersion|)
NumPy (>= |NumPyMinVersion|)
SciPy (>= |SciPyMinVersion|)
joblib (>= |JoblibMinVersion|)
threadpoolctl (>= |ThreadpoolctlMinVersion|)

=======

User installation ~~~~~~~~~~~~~~~~~

If you already have a working installation of NumPy and SciPy, the easiest way to install scikit-learn is using pip::

pip install -U scikit-learn

or conda::

conda install -c conda-forge scikit-learn

The documentation includes more detailed installation instructions <https://scikit-learn.org/stable/install.html>_.

Changelog

See the changelog <https://scikit-learn.org/dev/whats_new.html>__ for a history of notable changes to scikit-learn.

Development

We welcome new contributors of all experience levels. The scikit-learn community goals are to be helpful, welcoming, and effective. The Development Guide <https://scikit-learn.org/stable/developers/index.html>_ has detailed information about contributing code, documentation, tests, and more. We've included some basic information in this README.

Important links ~~~~~~~~~~~~~~~

Official source code repo: https://github.com/scikit-learn/scikit-learn
Download releases: https://pypi.org/project/scikit-learn/
Issue tracker: https://github.com/scikit-learn/scikit-learn/issues

Source code ~~~~~~~~~~~

You can check the latest sources with the command::

git clone https://github.com/scikit-learn/scikit-learn.git

Contributing ~~~~~~~~~~~~

To learn more about making a contribution to scikit-learn, please see our Contributing guide <https://scikit-learn.org/dev/developers/contributing.html>_.

Testing ~~~~~~~

After installation, you can launch the test suite from outside the source directory (you will need to have pytest >= |PytestMinVersion| installed)::

pytest sklearn

See the web page https://scikit-learn.org/dev/developers/contributing.html#testing-and-improving-test-coverage for more information.

Random number generation can be controlled during testing by setting
the ``SKLEARN_SEED`` environment variable.

Submitting a Pull Request ~~~~~~~~~~~~~~~~~~~~~~~~~

Before opening a Pull Request, have a look at the full Contributing page to make sure your code complies with our guidelines: https://scikit-learn.org/stable/developers/index.html

Project History

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the About us <https://scikit-learn.org/dev/about.html#authors>__ page for a list of core contributors.

The project is currently maintained by a team of volunteers.

Note: scikit-learn was previously referred to as scikits.learn.

Help and Support

Documentation ~~~~~~~~~~~~~

HTML documentation (stable release): https://scikit-learn.org
HTML documentation (development version): https://scikit-learn.org/dev/
FAQ: https://scikit-learn.org/stable/faq.html

Communication ~~~~~~~~~~~~~

Main Channels ^^^^^^^^^^^^^

Website: https://scikit-learn.org
Blog: https://blog.scikit-learn.org
Mailing list: https://mail.python.org/mailman/listinfo/scikit-learn

Developer & Support ^^^^^^^^^^^^^^^^^^^^^^

GitHub Discussions: https://github.com/scikit-learn/scikit-learn/discussions
Stack Overflow: https://stackoverflow.com/questions/tagged/scikit-learn
Discord: https://discord.gg/h9qyrK8Jc8

Social Media Platforms ^^^^^^^^^^^^^^^^^^^^^^

LinkedIn: https://www.linkedin.com/company/scikit-learn
YouTube: https://www.youtube.com/channel/UCJosFjYm0ZYVUARxuOZqnnw/playlists
Facebook: https://www.facebook.com/scikitlearnofficial/
Instagram: https://www.instagram.com/scikitlearnofficial/
TikTok: https://www.tiktok.com/@scikit.learn
Bluesky: https://bsky.app/profile/scikit-learn.org
Mastodon: https://mastodon.social/@sklearn@fosstodon.org

Resources ^^^^^^^^^

Calendar: https://blog.scikit-learn.org/calendar/
Logos & Branding: https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos

Citation ~~~~~~~~

If you use scikit-learn in a scientific publication, we would appreciate citations: https://scikit-learn.org/stable/about.html#citing-scikit-learn