/ open-webui.git / app / env / lib / python3.11 / site-packages / scikit_learn-1.6.1.dist-info / METADATA

Metadata-Version: 2.1 Name: scikit-learn Version: 1.6.1 Summary: A set of python modules for machine learning and data mining 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. 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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 :: 3.13 Classifier: Programming Language :: Python :: Implementation :: CPython 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 Requires-Python: >=3.9 Requires-Dist: numpy>=1.19.5 Requires-Dist: scipy>=1.6.0 Requires-Dist: joblib>=1.2.0 Requires-Dist: threadpoolctl>=3.1.0 Provides-Extra: build Requires-Dist: numpy>=1.19.5; 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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" Requires-Dist: pytest-cov>=2.9.0; extra == "tests" Requires-Dist: ruff>=0.5.1; extra == "tests" Requires-Dist: black>=24.3.0; extra == "tests" Requires-Dist: mypy>=1.9; extra == "tests" Requires-Dist: pyamg>=4.0.0; extra == "tests" Requires-Dist: polars>=0.20.30; extra == "tests" Requires-Dist: pyarrow>=12.0.0; extra == "tests" Requires-Dist: numpydoc>=1.2.0; extra == "tests" Requires-Dist: pooch>=1.6.0; extra == "tests" Provides-Extra: maintenance Requires-Dist: conda-lock==2.5.6; 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 .. |Codecov| image:: https://codecov.io/gh/scikit-learn/scikit-learn/branch/main/graph/badge.svg?token=Pk8G9gg3y9 :target: 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 :target: 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 :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 .. |DOI| image:: https://zenodo.org/badge/21369/scikit-learn/scikit-learn.svg :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 .. |NumPyMinVersion| replace:: 1.19.5 .. |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 - Bluesky: https://bsky.app/profile/scikit-learn.org - 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