Metadata-Version: 2.1 Name: scikit-learn Version: 1.2.2 Summary: A set of python modules for machine learning and data mining Home-page: http://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 :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Requires-Python: >=3.8 License-File: COPYING Requires-Dist: numpy (>=1.17.3) Requires-Dist: scipy (>=1.3.2) Requires-Dist: joblib (>=1.1.1) Requires-Dist: threadpoolctl (>=2.0.0) Provides-Extra: benchmark Requires-Dist: matplotlib (>=3.1.3) ; 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extra == 'examples' Requires-Dist: seaborn (>=0.9.0) ; extra == 'examples' Requires-Dist: pooch (>=1.6.0) ; extra == 'examples' Requires-Dist: plotly (>=5.10.0) ; extra == 'examples' Provides-Extra: tests Requires-Dist: matplotlib (>=3.1.3) ; extra == 'tests' Requires-Dist: scikit-image (>=0.16.2) ; extra == 'tests' Requires-Dist: pandas (>=1.0.5) ; extra == 'tests' Requires-Dist: pytest (>=5.3.1) ; extra == 'tests' Requires-Dist: pytest-cov (>=2.9.0) ; extra == 'tests' Requires-Dist: flake8 (>=3.8.2) ; extra == 'tests' Requires-Dist: black (>=22.3.0) ; extra == 'tests' Requires-Dist: mypy (>=0.961) ; extra == 'tests' Requires-Dist: pyamg (>=4.0.0) ; extra == 'tests' Requires-Dist: numpydoc (>=1.2.0) ; extra == 'tests' Requires-Dist: pooch (>=1.6.0) ; extra == 'tests' .. -*- 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&circle-token=:circle-token .. _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/badge/python-3.8%20%7C%203.9%20%7C%203.10-blue .. _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:: 3.8 .. |NumPyMinVersion| replace:: 1.17.3 .. |SciPyMinVersion| replace:: 1.3.2 .. |JoblibMinVersion| replace:: 1.1.1 .. |ThreadpoolctlMinVersion| replace:: 2.0.0 .. |MatplotlibMinVersion| replace:: 3.1.3 .. |Scikit-ImageMinVersion| replace:: 0.16.2 .. |PandasMinVersion| replace:: 1.0.5 .. |SeabornMinVersion| replace:: 0.9.0 .. |PytestMinVersion| replace:: 5.3.1 .. |PlotlyMinVersion| replace:: 5.10.0 .. 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 `__ 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 `_. 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/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 `__ 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 - Twitter (commits): https://twitter.com/sklearn_commits - 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