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setup.py
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'''
Setup file for boostsrl
Refer to https://github.com/batflyer/boostsrl-python-package
'''
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Description from README
#with open(path.join(here, 'README.md'), encoding='utf-8') as f:
# long_description = f.read()
setup(
name='boostsrl',
packages=['boostsrl'],
author='Alexander L. Hayes (batflyer)',
author_email='alexander@batflyer.net',
version='0.3',
description='Python wrappers for using BoostSRL jar files.',
#long_description=long_description,
#long_description=open('README.md').read(),
# boostsrl_java stores files in the user's home directory by default.
include_package_data = True,
data_files=[(path.expanduser('~') + '/.boostsrl_data', ['boostsrl/v1-0.jar',
'boostsrl/auc.jar']),
(path.expanduser('~') + '/.boostsrl_data/train', ['boostsrl/train/train_bk.txt']),
(path.expanduser('~') + '/.boostsrl_data/test', ['boostsrl/test/test_bk.txt'])],
# Project's main homepage.
url='https://github.com/batflyer/boostsrl-python-package',
download_url="https://github.com/batflyer/boostsrl-python-package/archive/0.3.tar.gz",
# License
license='GPL-3.0',
classifiers=[
# Current development status
'Development Status :: 3 - Alpha',
# Intended Audiences
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
# License
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
# OS
'Operating System :: POSIX :: Linux',
# Supported Python Versions
# Check build status: https://travis-ci.org/batflyer/boostsrl-python-package
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
# Topic
'Topic :: Scientific/Engineering :: Artificial Intelligence'
],
# Relevant keywords (from boost-starai/BoostSRL)
keywords='machine-learning-algorithms machine-learning statistical-learning pattern-classification artificial-intelligence',
install_requires = ['subprocess32', 'graphviz'],
extras_require={
'test': ['coverage']
}
)