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Metadata-Version: 2.1
Name: scikit-learn
Version: 1.4.2
Summary: A set of python modules for machine learning and data mining
Home-page: https://scikit-learn.org
Download-URL: https://pypi.org/project/scikit-learn/#files
Maintainer: Andreas Mueller
Maintainer-email: amueller@ais.uni-bonn.de
License: new BSD
Project-URL: Bug Tracker, https://github.com/scikit-learn/scikit-learn/issues
Project-URL: Documentation, https://scikit-learn.org/stable/documentation.html
Project-URL: Source Code, https://github.com/scikit-learn/scikit-learn
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
Requires-Python: >=3.9
License-File: COPYING
Requires-Dist: numpy >=1.19.5
Requires-Dist: scipy >=1.6.0
Requires-Dist: joblib >=1.2.0
Requires-Dist: threadpoolctl >=2.0.0
Provides-Extra: benchmark
Requires-Dist: matplotlib >=3.3.4 ; extra == 'benchmark'
Requires-Dist: pandas >=1.1.5 ; extra == 'benchmark'
Requires-Dist: memory-profiler >=0.57.0 ; extra == 'benchmark'
Provides-Extra: docs
Requires-Dist: matplotlib >=3.3.4 ; extra == 'docs'
Requires-Dist: scikit-image >=0.17.2 ; extra == 'docs'
Requires-Dist: pandas >=1.1.5 ; extra == 'docs'
Requires-Dist: seaborn >=0.9.0 ; extra == 'docs'
Requires-Dist: memory-profiler >=0.57.0 ; extra == 'docs'
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Requires-Dist: plotly >=5.14.0 ; extra == 'docs'
Provides-Extra: examples
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Requires-Dist: scikit-image >=0.17.2 ; extra == 'examples'
Requires-Dist: pandas >=1.1.5 ; extra == 'examples'
Requires-Dist: seaborn >=0.9.0 ; extra == 'examples'
Requires-Dist: pooch >=1.6.0 ; extra == 'examples'
Requires-Dist: plotly >=5.14.0 ; extra == 'examples'
Provides-Extra: tests
Requires-Dist: matplotlib >=3.3.4 ; extra == 'tests'
Requires-Dist: scikit-image >=0.17.2 ; extra == 'tests'
Requires-Dist: pandas >=1.1.5 ; extra == 'tests'
Requires-Dist: pytest >=7.1.2 ; extra == 'tests'
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.. -*- 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
.. _Azure: 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
.. _CircleCI: https://circleci.com/gh/scikit-learn/scikit-learn
.. |CirrusCI| image:: https://img.shields.io/cirrus/github/scikit-learn/scikit-learn/main?label=Cirrus%20CI
.. _CirrusCI: https://cirrus-ci.com/github/scikit-learn/scikit-learn/main
.. |Codecov| image:: https://codecov.io/gh/scikit-learn/scikit-learn/branch/main/graph/badge.svg?token=Pk8G9gg3y9
.. _Codecov: https://codecov.io/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/pypi/pyversions/scikit-learn.svg
.. _PythonVersion: https://pypi.org/project/scikit-learn/
.. |PyPi| image:: https://img.shields.io/pypi/v/scikit-learn
.. _PyPi: https://pypi.org/project/scikit-learn
.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
.. _Black: https://github.com/psf/black
.. |DOI| image:: https://zenodo.org/badge/21369/scikit-learn/scikit-learn.svg
.. _DOI: https://zenodo.org/badge/latestdoi/21369/scikit-learn/scikit-learn
.. |Benchmark| image:: https://img.shields.io/badge/Benchmarked%20by-asv-blue
.. _`Benchmark`: https://scikit-learn.org/scikit-learn-benchmarks/
.. |PythonMinVersion| replace:: 3.9
.. |NumPyMinVersion| replace:: 1.19.5
.. |SciPyMinVersion| replace:: 1.6.0
.. |JoblibMinVersion| replace:: 1.2.0
.. |ThreadpoolctlMinVersion| replace:: 2.0.0
.. |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
- Gitter: https://gitter.im/scikit-learn/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
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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