lambda_or/setup.py at main · zeroknowledgediscovery/lambda_or · GitHub

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from setuptools import setup, Extension, find_packages
from codecs import open
from os import path
import warnings

package_name = "lambda_or"
example_dir = "examples/"
example_data_dir = example_dir + "example_data/"

version = {}
with open("version.py") as fp:
    exec(fp.read(), version)

here = path.abspath(path.dirname(__file__))

# Get the long description from the relevant file
with open(path.join(here, "README.rst"), encoding="utf-8") as f:
    long_description = f.read()


setup(
    name=package_name,
    author="Ishanu Chattopadhyay",
    author_email="zeroknowledgediscovery@gmail.com",
    version=str(version["__version__"]),
    packages=find_packages(),
    scripts=[],
    url="https://github.com/zeroknowledgediscovery/lambda_or",
    license="LICENSE",
    description="Lambda Odds Ratio",
    keywords=[
        "robust odds ratio",
        "misclassification correction",
        "machine learning",
        "EHR databases",
    ],
    download_url="https://github.com/zeroknowledgediscovery/lambda_or/archive/"
    + str(version["__version__"])
    + ".tar.gz",
    long_description=long_description,
    long_description_content_type="text/x-rst",
    install_requires=["scikit-learn", "scipy", "numpy", "pandas" ],
    python_requires=">=3.6",
    classifiers=[
        "Development Status :: 4 - Beta",
        "Intended Audience :: Developers",
        "Intended Audience :: Science/Research",
        "Topic :: Scientific/Engineering :: Information Analysis",
        "Topic :: Scientific/Engineering :: Bio-Informatics",
        "Topic :: Software Development :: Libraries",
        "License :: OSI Approved :: MIT License",
        "Programming Language :: Python :: 3.9",
    ],
    include_package_data=True,
)