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setup.py
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setup.py
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from setuptools import setup
from fpcmci.version import VERSION
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
INSTALL_REQUIRES = ["pandas>=1.5.2",
"netgraph>=4.10.2",
"networkx>=2.8.6",
"ruptures>=1.1.7",
"scikit_learn>=1.1.3",
"torch>=1.11.0",
"gpytorch>=1.4",
"dcor>=0.5.3",
"h5py>=3.7.0",
"jpype1>=1.5.0",
"mpmath>=1.3.0",
"causalnex>=0.12.1",
"lingam>=1.8.2",
"tigramite>=5.1.0.3",
]
setup(
name = 'causalflow',
version = VERSION,
description = 'A Python library for Causal Inference in Time-Series domain',
long_description = long_description,
long_description_content_type = 'text/markdown',
url = 'https://github.com/lcastri/causalflow',
author = 'Luca Castri',
author_email = '[email protected]',
packages = ['causalflow', "causalflow.preprocessing", "causalflow.preprocessing.subsampling_methods", "causalflow.basics", "causalflow.selection_methods", "causalflow.graph", "causalflow.random_system"],
python_requires='>=3',
install_requires = INSTALL_REQUIRES,
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering :: Artificial Intelligence'
],
)