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Metadata-Version: 2.1
Name: scikit-learn
Version: 1.5.2
Summary: A set of python modules for machine learning and data mining
Home-page: https://scikit-learn.org
Maintainer-Email: scikit-learn developers <scikit-learn@python.org>
License: BSD 3-Clause License
Copyright (c) 2007-2024 The scikit-learn developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Project-URL: Homepage, https://scikit-learn.org
Project-URL: Source, https://github.com/scikit-learn/scikit-learn
Project-URL: Download, https://pypi.org/project/scikit-learn/#files
Project-URL: Tracker, https://github.com/scikit-learn/scikit-learn/issues
Project-URL: Release notes, https://scikit-learn.org/stable/whats_new
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Provides-Extra: maintenance
Description-Content-Type: text/x-rst
.. -*- mode: rst -*-
|Azure| |CirrusCI| |Codecov| |CircleCI| |Nightly wheels| |Black| |PythonVersion| |PyPi| |DOI| |Benchmark|
.. |Azure| image:: https://dev.azure.com/scikit-learn/scikit-learn/_apis/build/status/scikit-learn.scikit-learn?branchName=main
:target: https://dev.azure.com/scikit-learn/scikit-learn/_build/latest?definitionId=1&branchName=main
.. |CircleCI| image:: https://circleci.com/gh/scikit-learn/scikit-learn/tree/main.svg?style=shield
:target: https://circleci.com/gh/scikit-learn/scikit-learn
.. |CirrusCI| image:: https://img.shields.io/cirrus/github/scikit-learn/scikit-learn/main?label=Cirrus%20CI
:target: https://cirrus-ci.com/github/scikit-learn/scikit-learn/main
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:target: https://pypi.org/project/scikit-learn/
.. |PyPi| image:: https://img.shields.io/pypi/v/scikit-learn
:target: https://pypi.org/project/scikit-learn
.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
:target: https://github.com/psf/black
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:target: https://zenodo.org/badge/latestdoi/21369/scikit-learn/scikit-learn
.. |Benchmark| image:: https://img.shields.io/badge/Benchmarked%20by-asv-blue
:target: https://scikit-learn.org/scikit-learn-benchmarks
.. |PythonMinVersion| replace:: 3.9
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.. |SciPyMinVersion| replace:: 1.6.0
.. |JoblibMinVersion| replace:: 1.2.0
.. |ThreadpoolctlMinVersion| replace:: 3.1.0
.. |MatplotlibMinVersion| replace:: 3.3.4
.. |Scikit-ImageMinVersion| replace:: 0.17.2
.. |PandasMinVersion| replace:: 1.1.5
.. |SeabornMinVersion| replace:: 0.9.0
.. |PytestMinVersion| replace:: 7.1.2
.. |PlotlyMinVersion| replace:: 5.14.0
.. image:: https://raw.githubusercontent.com/scikit-learn/scikit-learn/main/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 1.0 and later require Python 3.7 or newer.
scikit-learn 1.1 and later require Python 3.8 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| and plotly >= |PlotlyMinVersion|.
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
~~~~~~~~~~~~~
- Mailing list: https://mail.python.org/mailman/listinfo/scikit-learn
- Logos & Branding: https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos
- Blog: https://blog.scikit-learn.org
- Calendar: https://blog.scikit-learn.org/calendar/
- Twitter: https://twitter.com/scikit_learn
- Stack Overflow: https://stackoverflow.com/questions/tagged/scikit-learn
- GitHub Discussions: https://github.com/scikit-learn/scikit-learn/discussions
- Website: https://scikit-learn.org
- 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
- Mastodon: https://mastodon.social/@sklearn@fosstodon.org
- Discord: https://discord.gg/h9qyrK8Jc8
Citation
~~~~~~~~
If you use scikit-learn in a scientific publication, we would appreciate citations: https://scikit-learn.org/stable/about.html#citing-scikit-learn