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setup.py
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#!/usr/bin/env python
# Created by "Thieu" at 13:24, 25/05/2022 ----------%
# Email: [email protected] %
# Github: https://github.com/thieu1995 %
# --------------------------------------------------%
from setuptools import setup, find_packages
def readme():
with open('README.md', encoding='utf-8') as f:
README = f.read()
return README
setup(
name="mafese",
version="0.2.0",
author="Thieu",
author_email="[email protected]",
description="Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python",
long_description=readme(),
long_description_content_type="text/markdown",
keywords=["engineering optimization problems", "mathematical optimization",
"feature selection", "classification problem",
"feature selector", "dimensionality reduction",
"subset selection", "wrapper methods", "embedded methods", "mutual information", "correlation-based feature selection",
"recursive feature selection", "principal component analysis", "PCA", "lasso regularization", "ridge regularization",
"Genetic algorithm (GA)", "Particle swarm optimization (PSO)", "Ant colony optimization (ACO)",
"Differential evolution (DE)", "Simulated annealing", "Grey wolf optimizer (GWO)", "Whale Optimization Algorithm (WOA)",
"confusion matrix", "recall", "precision", "accuracy", "K-Nearest Neighbors", "random forest",
"support vector machine", "pearson correlation coefficient (PCC)", "spearman correlation coefficient (SCC)",
"relief", "relief-f", "multi-objectives optimization problems", "Stochastic optimization", "Global optimization",
"Convergence analysis", "Search space exploration", "Local search", "Computational intelligence", "Robust optimization",
"Performance analysis", "Intelligent optimization", "Simulations"],
url="https://github.com/thieu1995/mafese",
project_urls={
'Documentation': 'https://mafese.readthedocs.io/',
'Source Code': 'https://github.com/thieu1995/mafese',
'Bug Tracker': 'https://github.com/thieu1995/mafese/issues',
'Change Log': 'https://github.com/thieu1995/mafese/blob/master/ChangeLog.md',
'Forum': 'https://t.me/+fRVCJGuGJg1mNDg1',
},
packages=find_packages(exclude=['tests*', 'examples*']),
include_package_data=True,
license="GPLv3",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Natural Language :: English",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: System :: Benchmark",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Visualization",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Software Development :: Build Tools",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Utilities",
],
install_requires=["numpy>=1.17.1", "scipy>=1.7.1", "scikit-learn>=1.0.2",
"pandas>=1.3.5", "mealpy==2.5.4", "permetrics>=1.4.2",
"plotly>=5.10.0", "kaleido>=0.2.1"],
extras_require={
"dev": ["pytest>=7.0", "pytest-cov==4.0.0", "flake8>=4.0.1"],
},
python_requires='>=3.7',
)