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setup.py
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"""
Setup file for srlearn
Refer to https://github.com/hayesall/srlearn
"""
from setuptools import setup
from setuptools import find_packages
from codecs import open
from os import path
# Get __version__ from _meta.py
with open(path.join("srlearn", "_meta.py")) as f:
exec(f.read())
_here = path.abspath(path.dirname(__file__))
with open(path.join(_here, "README.rst"), encoding="utf-8") as f:
LONG_DESCRIPTION = f.read()
setup(
name="srlearn",
packages=find_packages(exclude=["tests"]),
package_dir={"srlearn": "srlearn"},
author="Alexander L. Hayes (hayesall)",
author_email="alexander@batflyer.net",
version=__version__,
description="Python wrappers for using BoostSRL jar files.",
long_description=LONG_DESCRIPTION,
include_package_data=True,
package_data={"srlearn": ["*.jar"]},
url="https://hayesall.com",
download_url="https://github.com/hayesall/srlearn",
license="GPL-3.0",
zip_safe=False,
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
keywords="machine-learning-algorithms machine-learning statistical-learning pattern-classification artificial-intelligence",
install_requires=["graphviz", "numpy", "scipy", "scikit-learn"],
extras_require={
"tests": ["coverage", "pytest"],
"docs": ["sphinx", "sphinx_rtd_theme", "sphinx_gallery", "numpydoc", "matplotlib"],
},
)