{ "info": { "author": "G. Lemaitre", "author_email": "g.lemaitre58@gmail.com", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved", "Operating System :: MacOS", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Python", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering", "Topic :: Software Development" ], "description": "Scikit-cycling\n==============\n\n.. image:: https://travis-ci.org/scikit-cycling/scikit-cycling.svg?branch=master\n :target: https://travis-ci.org/scikit-cycling/scikit-cycling\n\n.. image:: https://ci.appveyor.com/api/projects/status/f2mvtb9y1mcy99vg?svg=true\n :target: https://ci.appveyor.com/project/glemaitre/scikit-cycling\n\n.. image:: https://readthedocs.org/projects/scikit-cycling/badge/?version=latest\n :target: http://scikit-cycling.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n.. image:: https://codecov.io/gh/scikit-cycling/scikit-cycling/branch/master/graph/badge.svg\n :target: https://codecov.io/gh/scikit-cycling/scikit-cycling\n\n.. image:: https://badges.gitter.im/Join%20Chat.svg\n :target: https://gitter.im/scikit-cycling/Lobby?utm_source=share-link&utm_medium=link&utm_cam\n\nInstallation\n------------\n\nDependencies\n~~~~~~~~~~~~\n\nScikit-cycling requires:\n\n* scipy\n* numpy\n* pandas\n* six\n* fit-parse\n* joblib\n* scikit-learn\n\n\nInstallation\n~~~~~~~~~~~~\n\n``scikit-cycling`` is currently available on the PyPi\u2019s reporitories and you can\ninstall it via pip::\n\n pip install -U scikit-cycling\n\nThe package is release also in conda-forge::\n\n conda install -c conda-forge scikit-cycling\n\nIf you prefer, you can clone it and run the ``setup.py`` file. 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