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venv/Lib/site-packages/scikit_learn-0.23.2.dist-info/METADATA
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Metadata-Version: 2.1
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Name: scikit-learn
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Version: 0.23.2
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Summary: A set of python modules for machine learning and data mining
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Home-page: http://scikit-learn.org
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Maintainer: Andreas Mueller
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Maintainer-email: amueller@ais.uni-bonn.de
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License: new BSD
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Download-URL: https://pypi.org/project/scikit-learn/#files
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Project-URL: Bug Tracker, https://github.com/scikit-learn/scikit-learn/issues
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Project-URL: Documentation, https://scikit-learn.org/stable/documentation.html
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Project-URL: Source Code, https://github.com/scikit-learn/scikit-learn
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Platform: UNKNOWN
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Classifier: Intended Audience :: Science/Research
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved
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Classifier: Programming Language :: C
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Classifier: Programming Language :: Python
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Classifier: Topic :: Software Development
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Classifier: Topic :: Scientific/Engineering
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Operating System :: POSIX
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Classifier: Operating System :: Unix
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Classifier: Operating System :: MacOS
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: Implementation :: CPython
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Classifier: Programming Language :: Python :: Implementation :: PyPy
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Requires-Python: >=3.6
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Requires-Dist: numpy (>=1.13.3)
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Requires-Dist: scipy (>=0.19.1)
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Requires-Dist: joblib (>=0.11)
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Requires-Dist: threadpoolctl (>=2.0.0)
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Provides-Extra: alldeps
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Requires-Dist: numpy (>=1.13.3) ; extra == 'alldeps'
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Requires-Dist: scipy (>=0.19.1) ; extra == 'alldeps'
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.. -*- mode: rst -*-
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|Azure|_ |Travis|_ |Codecov|_ |CircleCI|_ |PythonVersion|_ |PyPi|_ |DOI|_
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.. |Azure| image:: https://dev.azure.com/scikit-learn/scikit-learn/_apis/build/status/scikit-learn.scikit-learn?branchName=master
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.. _Azure: https://dev.azure.com/scikit-learn/scikit-learn/_build/latest?definitionId=1&branchName=master
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.. |Travis| image:: https://api.travis-ci.org/scikit-learn/scikit-learn.svg?branch=master
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.. _Travis: https://travis-ci.org/scikit-learn/scikit-learn
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.. |Codecov| image:: https://codecov.io/github/scikit-learn/scikit-learn/badge.svg?branch=master&service=github
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.. _Codecov: https://codecov.io/github/scikit-learn/scikit-learn?branch=master
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.. |CircleCI| image:: https://circleci.com/gh/scikit-learn/scikit-learn/tree/master.svg?style=shield&circle-token=:circle-token
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.. _CircleCI: https://circleci.com/gh/scikit-learn/scikit-learn
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.. |PythonVersion| image:: https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue
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.. _PythonVersion: https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue
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.. |PyPi| image:: https://badge.fury.io/py/scikit-learn.svg
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.. _PyPi: https://badge.fury.io/py/scikit-learn
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.. |DOI| image:: https://zenodo.org/badge/21369/scikit-learn/scikit-learn.svg
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.. _DOI: https://zenodo.org/badge/latestdoi/21369/scikit-learn/scikit-learn
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scikit-learn
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============
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scikit-learn is a Python module for machine learning built on top of
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SciPy and is distributed under the 3-Clause BSD license.
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The project was started in 2007 by David Cournapeau as a Google Summer
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of Code project, and since then many volunteers have contributed. See
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the `About us <https://scikit-learn.org/dev/about.html#authors>`__ page
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for a list of core contributors.
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It is currently maintained by a team of volunteers.
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Website: https://scikit-learn.org
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Installation
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------------
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Dependencies
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~~~~~~~~~~~~
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scikit-learn requires:
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- Python (>= 3.6)
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- NumPy (>= 1.13.3)
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- SciPy (>= 0.19.1)
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- joblib (>= 0.11)
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- threadpoolctl (>= 2.0.0)
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**Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4.**
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scikit-learn 0.23 and later require Python 3.6 or newer.
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Scikit-learn plotting capabilities (i.e., functions start with ``plot_``
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and classes end with "Display") require Matplotlib (>= 2.1.1). For running the
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examples Matplotlib >= 2.1.1 is required. A few examples require
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scikit-image >= 0.13, a few examples require pandas >= 0.18.0, some examples
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require seaborn >= 0.9.0.
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User installation
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~~~~~~~~~~~~~~~~~
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If you already have a working installation of numpy and scipy,
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the easiest way to install scikit-learn is using ``pip`` ::
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pip install -U scikit-learn
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or ``conda``::
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conda install scikit-learn
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The documentation includes more detailed `installation instructions <https://scikit-learn.org/stable/install.html>`_.
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Changelog
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---------
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See the `changelog <https://scikit-learn.org/dev/whats_new.html>`__
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for a history of notable changes to scikit-learn.
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Development
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-----------
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We welcome new contributors of all experience levels. The scikit-learn
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community goals are to be helpful, welcoming, and effective. The
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`Development Guide <https://scikit-learn.org/stable/developers/index.html>`_
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has detailed information about contributing code, documentation, tests, and
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more. We've included some basic information in this README.
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Important links
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~~~~~~~~~~~~~~~
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- Official source code repo: https://github.com/scikit-learn/scikit-learn
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- Download releases: https://pypi.org/project/scikit-learn/
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- Issue tracker: https://github.com/scikit-learn/scikit-learn/issues
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Source code
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~~~~~~~~~~~
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You can check the latest sources with the command::
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git clone https://github.com/scikit-learn/scikit-learn.git
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Contributing
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~~~~~~~~~~~~
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To learn more about making a contribution to scikit-learn, please see our
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`Contributing guide
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<https://scikit-learn.org/dev/developers/contributing.html>`_.
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Testing
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~~~~~~~
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After installation, you can launch the test suite from outside the
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source directory (you will need to have ``pytest`` >= 3.3.0 installed)::
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pytest sklearn
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See the web page https://scikit-learn.org/dev/developers/advanced_installation.html#testing
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for more information.
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Random number generation can be controlled during testing by setting
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the ``SKLEARN_SEED`` environment variable.
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Submitting a Pull Request
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~~~~~~~~~~~~~~~~~~~~~~~~~
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Before opening a Pull Request, have a look at the
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full Contributing page to make sure your code complies
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with our guidelines: https://scikit-learn.org/stable/developers/index.html
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Project History
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---------------
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The project was started in 2007 by David Cournapeau as a Google Summer
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of Code project, and since then many volunteers have contributed. See
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the `About us <https://scikit-learn.org/dev/about.html#authors>`__ page
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for a list of core contributors.
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The project is currently maintained by a team of volunteers.
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**Note**: `scikit-learn` was previously referred to as `scikits.learn`.
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Help and Support
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----------------
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Documentation
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~~~~~~~~~~~~~
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- HTML documentation (stable release): https://scikit-learn.org
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- HTML documentation (development version): https://scikit-learn.org/dev/
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- FAQ: https://scikit-learn.org/stable/faq.html
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Communication
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~~~~~~~~~~~~~
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- Mailing list: https://mail.python.org/mailman/listinfo/scikit-learn
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- IRC channel: ``#scikit-learn`` at ``webchat.freenode.net``
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- Stack Overflow: https://stackoverflow.com/questions/tagged/scikit-learn
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- Website: https://scikit-learn.org
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Citation
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~~~~~~~~
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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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