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42 lines (36 loc) · 1.25 KB
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#!/usr/bin/env python
# encoding: utf-8
from setuptools import setup
with open("README.md", "r") as fh:
desc = fh.read()
required = ["numpy", "scipy", "sklearn", "tensorflow", "deap", "bitstring", "pandas",
"torch", "torchinfo", "torch_optimizer", "tqdm"]
setup(
name="nnogada",
version='0.9.1.3',
author='I Gomez-Vargas',
author_email="igomez@icf.unam.mx",
url="https://github.com/igomezv/nnogada",
license="MIT",
description="Genetic hyperparameter tuning for neural nets",
long_description=desc,
install_requires=required,
include_package_data=False,
keywords=["Hyperparameter",
"optimization",
"machine learning",
"deep learning",
"genetic algorithms"],
classifiers=[
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Natural Language :: English',
],
)