Github url

scikit-learn

by scikit-learn

scikit-learn /scikit-learn

scikit-learn: machine learning in Python

41.9K Stars 20.2K Forks Last release: 11 days ago (0.23.2) Other 26.0K Commits 112 Releases

Available items

No Items, yet!

The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:

.. -- mode: rst --

|Azure|_ |Travis|_ |Codecov|_ |CircleCI|_ |PythonVersion|_ |PyPi|_ |DOI|_

.. |Azure| image:: https://dev.azure.com/scikit-learn/scikit-learn/apis/build/status/scikit-learn.scikit-learn?branchName=master .. _Azure: https://dev.azure.com/scikit-learn/scikit-learn/build/latest?definitionId=1&branchName=master

.. |Travis| image:: https://api.travis-ci.org/scikit-learn/scikit-learn.svg?branch=master .. _Travis: https://travis-ci.org/scikit-learn/scikit-learn

.. |Codecov| image:: https://codecov.io/github/scikit-learn/scikit-learn/badge.svg?branch=master&service=github .. _Codecov: https://codecov.io/github/scikit-learn/scikit-learn?branch=master

.. |CircleCI| image:: https://circleci.com/gh/scikit-learn/scikit-learn/tree/master.svg?style=shield&circle-token=:circle-token .. _CircleCI: https://circleci.com/gh/scikit-learn/scikit-learn

.. |PythonVersion| image:: https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue .. _PythonVersion: https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue

.. |PyPi| image:: https://badge.fury.io/py/scikit-learn.svg .. _PyPi: https://badge.fury.io/py/scikit-learn

.. |DOI| image:: https://zenodo.org/badge/21369/scikit-learn/scikit-learn.svg .. _DOI: https://zenodo.org/badge/latestdoi/21369/scikit-learn/scikit-learn

.. image:: doc/logos/scikit-learn-logo.png :target: https://scikit-learn.org/

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 
__ 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 (>= 3.6)
  • NumPy (>= 1.13.3)
  • SciPy (>= 0.19.1)
  • joblib (>= 0.11)
  • threadpoolctl (>= 2.0.0)

=======

Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4. scikit-learn 0.23 and later require Python 3.6 or newer.

Scikit-learn plotting capabilities (i.e., functions start with

plot_
and classes end with "Display") require Matplotlib (>= 2.1.1). For running the examples Matplotlib >= 2.1.1 is required. A few examples require scikit-image >= 0.13, a few examples require pandas >= 0.25.0, some examples require seaborn >= 0.9.0.

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 
_.

Changelog

See the

changelog 
__ 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 
_ 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
_.

Testing ~~~~~~~

After installation, you can launch the test suite from outside the source directory (you will need to have

pytest
>= 5.0.1 installed)::
pytest sklearn

See the web page https://scikit-learn.org/dev/developers/advanced_installation.html#testing 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 
__ 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 ~~~~~~~~~~~~~

  • Mailing list: https://mail.python.org/mailman/listinfo/scikit-learn
  • IRC channel:
    #scikit-learn
    at
    webchat.freenode.net
  • Gitter: https://gitter.im/scikit-learn/scikit-learn
  • Twitter: https://twitter.com/scikit_learn
  • Stack Overflow: https://stackoverflow.com/questions/tagged/scikit-learn
  • Website: https://scikit-learn.org

Citation ~~~~~~~~

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

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.