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Metadata-Version: 1.1
Name: scikit-learn
Version: 0.23.2
Summary: A set of python modules for machine learning and data mining
Home-page: http://scikit-learn.org
Author: Andreas Mueller
Author-email: amueller@ais.uni-bonn.de
License: new BSD
Download-URL: https://pypi.org/project/scikit-learn/#files
Description: .. -*- mode: rst -*-
        
        |Azure|_ |Travis|_ |Codecov|_ |CircleCI|_ |PythonVersion|_ |PyPi|_ |DOI|_
        
        .. |Azure| image:: https://dev.azure.com/scikit-learn/scikit-learn/_apis/build/status/scikit-learn.scikit-learn?branchName=master
        .. _Azure: https://dev.azure.com/scikit-learn/scikit-learn/_build/latest?definitionId=1&branchName=master
        
        .. |Travis| image:: https://api.travis-ci.org/scikit-learn/scikit-learn.svg?branch=master
        .. _Travis: https://travis-ci.org/scikit-learn/scikit-learn
        
        .. |Codecov| image:: https://codecov.io/github/scikit-learn/scikit-learn/badge.svg?branch=master&service=github
        .. _Codecov: https://codecov.io/github/scikit-learn/scikit-learn?branch=master
        
        .. |CircleCI| image:: https://circleci.com/gh/scikit-learn/scikit-learn/tree/master.svg?style=shield&circle-token=:circle-token
        .. _CircleCI: https://circleci.com/gh/scikit-learn/scikit-learn
        
        .. |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
        
        scikit-learn
        ============
        
        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 (>= 3.6)
        - NumPy (>= 1.13.3)
        - SciPy (>= 0.19.1)
        - joblib (>= 0.11)
        - threadpoolctl (>= 2.0.0)
        
        **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 (>= 2.1.1). For running the
        examples Matplotlib >= 2.1.1 is required. A few examples require
        scikit-image >= 0.13, a few examples require pandas >= 0.18.0, some examples
        require seaborn >= 0.9.0.
        
        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 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`` >= 3.3.0 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
        ~~~~~~~~~~~~~
        
        - Mailing list: https://mail.python.org/mailman/listinfo/scikit-learn
        - IRC channel: ``#scikit-learn`` at ``webchat.freenode.net``
        - Stack Overflow: https://stackoverflow.com/questions/tagged/scikit-learn
        - Website: https://scikit-learn.org
        
        Citation
        ~~~~~~~~
        
        If you use scikit-learn in a scientific publication, we would appreciate citations: https://scikit-learn.org/stable/about.html#citing-scikit-learn
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy