{ "info": { "author": "M. Starmans, S. van der Voort", "author_email": "m.starmans@erasmusmc.nl, s.vandervoort@erasmusmc.nl", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Healthcare Industry", "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: System :: Distributed Computing", "Topic :: System :: Logging", "Topic :: Utilities" ], "description": "PREDICT v3.1.1\n==============\n\nPREDICT: a Radiomics Extensive Digital Interchangable Classification Toolkit\n----------------------------------------------------------------------------\n\nThis is an open-source python package supporting radiomics image feature\nextraction.\n\nDocumentation\n~~~~~~~~~~~~~\n\nFor more information, see the sphinx generated documentation available\n`here (WIP) `__.\n\nAlternatively, you can generate the documentation by checking out the\nmaster branch and running from the root directory:\n\n::\n\n python setup.py build_sphinx\n\nThe documentation can then be viewed in a browser by opening\n``PACKAGE_ROOT\\build\\sphinx\\html\\index.html``.\n\nInstallation\n~~~~~~~~~~~~\n\nPREDICT has currently been tested on Ubuntu 16.04 and 18.04, and Windows\n10 using Python 3.6.6 and higher.\n\nThe package can be installed through pip :\n\n::\n\n pip install PREDICT\n\nAlternatively, you can use the provided setup.py file:\n\n::\n\n python setup.py install\n\nMake sure you first install the required packages:\n\n::\n\n pip install -r requirements.txt\n\n3rd-party 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