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52 lines (49 loc) · 1.76 KB
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from setuptools import setup
with open("LIBRARY.md", "r", encoding="utf8") as fh:
long_description = fh.read()
VERSION = '1.3.2'
setup(
name='InterpretME',
packages=['InterpretME'],
version=VERSION,
description='An interpretable machine learning pipeline over knowledge graphs',
long_description=long_description,
long_description_content_type="text/markdown",
author='Yashraj Chudasama, Disha Purohit, Philipp Rohde, Julian Gercke',
author_email='yashraj.chudasama@tib.eu',
url='https://github.com/SDM-TIB/InterpretME',
download_url='https://github.com/SDM-TIB/InterpretME/archive/refs/tags/v' + VERSION + '.tar.gz',
include_package_data=True,
classifiers=[
"Programming Language :: Python :: 3",
'Programming Language :: Python :: 3 :: Only',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
"Operating System :: OS Independent",
'License :: OSI Approved :: MIT License',
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
'Operating System :: OS Independent'
],
python_requires='>=3.8, <3.10',
install_requires=[
'pandas>=1.4.0,<2.0.0',
'imbalanced-learn>=0.9.0',
'lime>=0.2.0',
'pydotplus>=2.0.2',
'svglib>=1.2.1',
'colour>=0.1.5',
'matplotlib<=3.3.4',
'rdflib<=6.1.1',
'seaborn>=0.11.2',
'numpy>=1.23.5',
'dtreeviz>=2.2.0',
'python-slugify>=6.0.0',
'requests>=2.31.0',
'rdfizer>=4.5.5',
'DeTrusty>=0.12.3',
'validating-models>=0.9.5',
'optuna>=3.2.0',
'scikit-learn>=1.2.0,<1.3.0'
]
)