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setup.py
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setup.py
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import setuptools
from pathlib import Path
this_dir = Path(__file__).resolve().parent
with open(this_dir / 'README.md', "r", encoding='utf-8') as fh:
long_description = fh.read()
setuptools.setup(
name="pytorch_influence_functions",
version="0.1.1",
author="Nimar Blume",
author_email="[email protected]",
description="This package is a plug-n-play PyTorch reimplementation of Influence Functions. Influence Functions were introduced in the paper Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang (ICML2017).",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/nimarb/pytorch_influence_functions",
packages=setuptools.find_packages(),
classifiers = [
'Development Status :: 3 - Alpha',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: GNU General Public License (GPL)',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Mathematics',
'Operating System :: POSIX :: Linux',
'Operating System :: MacOS',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
"Operating System :: OS Independent"
],
python_requires='>=3.6',
install_requires=[
'torch>=1.0',
'numpy>=1.13.0'
]
)