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scikit-learn

Description

scikit-learn: machine learning in Python

43.2K Stars 20.7K Forks BSD 3-Clause "New" or "Revised" License 26.3K Commits 2.3K Opened issues

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|Azure|_ |Travis|_ |Codecov|_ |CircleCI|_ |Nightly wheels|_ |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.com/scikit-learn/scikit-learn.svg?branch=master .. _Travis: https://travis-ci.com/scikit-learn/scikit-learn

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.. |Nightly wheels| image:: https://github.com/scikit-learn/scikit-learn/workflows/Wheel%20builder/badge.svg?event=schedule .. _

Nightly wheels
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.. 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 (>= |PythonMinVersion|)
  • NumPy (>= |NumPyMinVersion|)
  • SciPy (>= |SciPyMinVersion|)
  • joblib (>= |JoblibMinVersion|)
  • threadpoolctl (>= |ThreadpoolctlMinVersion|)

=======

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 (>= |MatplotlibMinVersion|). For running the examples Matplotlib >= |MatplotlibMinVersion| is required. A few examples require scikit-image >= |Scikit-ImageMinVersion|, a few examples require pandas >= |PandasMinVersion|, some examples require seaborn >= |SeabornMinVersion|.

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
>= |PyTestMinVersion| 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

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