.. -- mode: rst --
|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=main
.. _Azure: https://dev.azure.com/scikit-learn/scikit-learn/_build/latest?definitionId=1&branchName=main
.. |Travis| image:: https://api.travis-ci.com/scikit-learn/scikit-learn.svg?branch=main
.. _Travis: https://travis-ci.com/scikit-learn/scikit-learn
.. |Codecov| image:: https://codecov.io/github/scikit-learn/scikit-learn/badge.svg?branch=main&service=github
.. _Codecov: https://codecov.io/github/scikit-learn/scikit-learn?branch=main
.. |CircleCI| image:: https://circleci.com/gh/scikit-learn/scikit-learn/tree/main.svg?style=shield&circle-token=:circle-token
.. _CircleCI: https://circleci.com/gh/scikit-learn/scikit-learn
.. |Nightly wheels| image:: https://github.com/scikit-learn/scikit-learn/workflows/Wheel%20builder/badge.svg?event=schedule
.. _Nightly wheels
: https://github.com/scikit-learn/scikit-learn/actions?query=workflow%3A%22Wheel+builder%22+event%3Aschedule
.. |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
.. |PythonMinVersion| replace:: 3.6
.. |NumPyMinVersion| replace:: 1.13.3
.. |SciPyMinVersion| replace:: 0.19.1
.. |JoblibMinVersion| replace:: 0.11
.. |ThreadpoolctlMinVersion| replace:: 2.0.0
.. |MatplotlibMinVersion| replace:: 2.1.1
.. |Scikit-ImageMinVersion| replace:: 0.13
.. |PandasMinVersion| replace:: 0.25.0
.. |SeabornMinVersion| replace:: 0.9.0
.. |PytestMinVersion| replace:: 5.0.1
.. 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 <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|)
=======
**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 <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/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 <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
Citation
If you use scikit-learn in a scientific publication, we would appreciate citations: https://scikit-learn.org/stable/about.html#citing-scikit-learn