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setup.py
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setup.py
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import os
import pathlib
from setuptools import setup, find_packages
# python setup.py sdist bdist_wheel
# twine upload --skip-existing dist/*
# get __version__ from _version.py
ver_file = os.path.join("sklearn_genetic", "_version.py")
with open(ver_file) as f:
exec(f.read())
HERE = pathlib.Path(__file__).parent
README = (HERE / "README.rst").read_text()
setup(
name="sklearn-genetic-opt",
version=__version__,
description="Scikit-learn models hyperparameters tuning and features selection, using evolutionary algorithms",
long_description=README,
long_description_content_type="text/x-rst",
url="https://github.com/rodrigo-arenas/Sklearn-genetic-opt",
author="Rodrigo Arenas",
author_email="[email protected]",
license="MIT",
classifiers=[
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
project_urls={
"Documentation": "https://sklearn-genetic-opt.readthedocs.io/en/stable/",
"Source Code": "https://github.com/rodrigo-arenas/Sklearn-genetic-opt",
"Bug Tracker": "https://github.com/rodrigo-arenas/Sklearn-genetic-opt/issues",
},
packages=find_packages(
include=["sklearn_genetic", "sklearn_genetic.*"], exclude=["*tests*"]
),
install_requires=[
"scikit-learn>=1.3.0",
"numpy>=1.19.0",
"deap>=1.3.3",
"tqdm>=4.61.1",
],
extras_require={
"mlflow": ["mlflow>=1.17.0"],
"seaborn": ["seaborn>=0.11.2"],
"tensorflow": ["tensorflow>=2.0.0"],
"all": ["mlflow>=1.30.0", "seaborn>=0.11.2", "tensorflow>=2.0.0"],
},
python_requires=">=3.9",
include_package_data=True,
)