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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import find_packages, setup
with open('README.md') as readme_file:
readme = readme_file.read()
with open('HISTORY.md') as history_file:
history = history_file.read()
install_requires = [
'baytune>=0.2.5,<0.3',
'boto3>=1.9.146,<2',
'future>=0.16.0,<0.18',
'pymysql>=0.9.3,<0.10',
'numpy>=1.13.1,<1.17',
'pandas>=0.22.0,<0.25',
'psutil>=5.6.1,<6',
'python-daemon>=2.2.3,<3',
'requests>=2.18.4,<3',
'scikit-learn>=0.18.2,<0.22',
'scipy>=0.19.1,<1.4',
'sqlalchemy>=1.1.14,<1.4',
'flask>=1.0.2,<2',
'flask-restless>=0.17.0,<0.18',
'flask-sqlalchemy>=2.3.2,<2.5',
'flask-restless-swagger-2==0.0.3',
'simplejson>=3.16.0,<4',
'tqdm>=4.31.1,<5',
'docutils>=0.10,<0.15',
'Werkzeug>=0.15,<1.0',
]
setup_requires = [
'pytest-runner'
]
tests_require = [
'mock>=2.0.0',
'pytest-cov>=2.5.1',
'pytest-runner>=3.0',
'pytest-xdist>=1.20.1',
'pytest>=3.2.3',
'google-compute-engine==2.8.12', # required by travis
]
development_requires = [
# general
'bumpversion>=0.5.3',
'pip>=9.0.1',
'watchdog>=0.8.3',
# docs
'm2r>=0.2.0',
'Sphinx>=1.7.1',
'sphinx_rtd_theme>=0.2.4',
'autodocsumm>=0.1.10',
# style check
'flake8>=3.7.7',
'isort>=4.3.4',
# fix style issues
'autoflake>=1.1',
'autopep8>=1.4.3',
# distribute on PyPI
'twine>=1.10.0',
'wheel>=0.30.0',
# Advanced testing
'coverage>=4.5.1',
'tox>=2.9.1',
]
setup(
author="MIT Data To AI Lab",
author_email='dailabmit@gmail.com',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
"Programming Language :: Python :: 2",
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
description="Auto Tune Models",
entry_points={
'console_scripts': [
'atm=atm.cli:main'
]
},
extras_require={
'dev': development_requires + tests_require,
'tests': tests_require,
},
include_package_data=True,
install_requires=install_requires,
license="MIT license",
long_description=readme + '\n\n' + history,
long_description_content_type='text/markdown',
keywords='machine learning hyperparameters tuning classification',
name='atm',
packages=find_packages(include=['atm', 'atm.*']),
setup_requires=setup_requires,
test_suite='tests',
tests_require=tests_require,
url='https://github.com/HDI-project/ATM',
version='0.2.3-dev',
zip_safe=False,
)