setup.py

from setuptools import setup, find_packages


with open("README.md", "r") as fh:
    long_description = fh.read()

setup(
    name="pycre", 
    version="0.0.1",
    author=["Riccardo Cadei", "Naeem Khoshnevis", 
        "Falco Joannes Bargagli Stoffi"],
    author_email=["rcadei@hsph.harvard.edu", 
        "nkhoshnevis@g.harvard.edu", 
        "fbargaglistoffi@hsph.harvard.edu"],
    maintainer="Naeem Khoshnevis",
    maintainer_email="nkhoshnevis@g.harvard.edu",
    description="""Python implementation of Causal Rule Ensemble 
        algorithm.""",
    long_description="""Provides a new method for interpretable 
        heterogeneous treatment effects characterization in terms of 
        decision rules via an extensive exploration of heterogeneity 
        patterns by an ensemble-of-trees approach, enforcing high 
        stability in the discovery. It relies on a two-stage 
        pseudo-outcome regression, and theoretical convergence 
        guarantees support it. Bargagli-Stoffi, F. J., Cadei, R., 
        Lee, K., & Dominici, F. (2023) Causal rule ensemble: 
        Interpretable Discovery and Inference of Heterogeneous 
        Treatment Effects. arXiv preprint <arXiv:2009.09036>.""",
    long_description_content_type="text/markdown",
    url="TBD",
    license="GPL-3",
    packages=find_packages(exclude=['docs*', 'tests*']),
    classifiers=[
        "Development Status :: 2 - Pre-Alpha",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: GPL3 License",
        "Natural Language :: English",
        "Operating System :: OS Independent",
        "Programming Language :: Python :: 3 :: Only",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: Implementation :: CPython",
        "Programming Language :: Python :: Implementation :: PyPy",
    ],
    python_requires='>=3.7',
)