/
setup.py
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setup.py
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import setuptools
long_description = "mlmachine is a Python library that organizes and accelerates notebook-based machine learning experiments."
description = "Accelerate machine learning experimentation"
distname = "mlmachine"
license = "MIT"
maintainer = "Tyler Peterson"
maintainer_email = "petersontylerd@gmail.com"
project_urls = {
"bug tracker": "https://github.com/petersontylerd/mlmachine/issues",
"source code": "https://github.com/petersontylerd/mlmachine",
}
url = "https://github.com/petersontylerd/mlmachine"
version = "0.1.5"
def setup_package():
metadata = dict(
name=distname,
packages=[
"mlmachine",
"mlmachine.datasets",
"mlmachine.datasets.attrition",
"mlmachine.datasets.housing",
"mlmachine.datasets.titanic",
"mlmachine.explore",
"mlmachine.features",
"mlmachine.model",
"mlmachine.model.evaluate",
"mlmachine.model.explain",
"mlmachine.model.tune",
],
maintainer=maintainer,
maintainer_email=maintainer_email,
description=description,
keywords=["machine learning", "data science"],
license=license,
url=url,
# download_url = download_url,
project_urls=project_urls,
version=version,
long_description=long_description,
include_package_data=True,
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Visualization",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries :: Python Modules",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
],
python_requires=">=3.6.1",
install_requires=[i.strip() for i in open("requirements.txt").readlines()],
)
setuptools.setup(**metadata)
if __name__ == "__main__":
setup_package()