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43 lines (41 loc) · 1.29 KB
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#!/usr/bin/env python
from setuptools import setup
with open('README.md', 'r') as f:
long_description = f.read()
setup(
name='pyrameter',
version='0.3.5.post3',
description='Structure, sample, and savor hyperparameter searches',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/jeffkinnison/pyrameter',
author='Jeff Kinnison',
author_email='jkinniso@nd.edu',
packages=['pyrameter',
'pyrameter.backend',
'pyrameter.domains',
'pyrameter.methods',],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Operating System :: POSIX',
'Operating System :: Unix',
],
keywords='machine_learning hyperparameters',
install_requires=[
'dill',
'matplotlib',
'numpy',
'pandas',
'pymongo',
'scipy',
'scikit-learn',
'six',
],
)