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setup.py
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setup.py
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import setuptools
setuptools.setup(
name='cognoml',
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version='0.1.0',
description='Machine learning for Project Cognoma',
# The project's main homepage.
url='https://github.com/cognoma/machine-learning',
# Author details
author='Project Cognoma',
# Choose your license
license='BSD 3-Clause',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Bio-Informatics',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: BSD License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 3 :: Only',
'Programming Language :: Python :: 3.5',
],
# What does your project relate to?
keywords='cognoma machine learning cancer',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=setuptools.find_packages(),
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=[
'numexpr == 2.6.0',
'numpy == 1.11.1',
'pandas == 0.18.1',
'requests == 2.11.1',
'scikit-learn == 0.18.0',
'scipy == 0.17.1',
'pytest == 3.0.4',
],
# pytest integration
setup_requires=['pytest-runner'],
tests_require=['pytest'],
)