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setup.py
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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="reflame",
version="1.0.1",
author="Thieu",
author_email="[email protected]",
description="Revolutionizing Functional Link Neural Network by Metaheuristic Algorithms: reflame - A Python Library",
long_description=readme(),
long_description_content_type="text/markdown",
keywords=["functional link neural network", "machine learning", "artificial intelligence",
"deep learning", "neural networks", "single hidden layer network",
"random projection", "FLANN", "functional link artificial neural network", "classification", "regression",
"supervised learning", "online learning", "generalization", "ensemble learning",
"optimization algorithms", "Kernel FLNN", "Cross-validation"
"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",
"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/reflame",
project_urls={
'Documentation': 'https://reflame.readthedocs.io/',
'Source Code': 'https://github.com/thieu1995/reflame',
'Bug Tracker': 'https://github.com/thieu1995/reflame/issues',
'Change Log': 'https://github.com/thieu1995/reflame/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 :: 3.8",
"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>=3.0.1", "permetrics>=1.5.0",
"torch>=2.0.0", "skorch>=0.13.0"],
extras_require={
"dev": ["pytest>=7.0", "pytest-cov==4.0.0", "flake8>=4.0.1"],
},
python_requires='>=3.8',
)