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setup.py
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setup.py
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#!/usr/bin/env python
from setuptools import setup, find_packages
with open('README.md') as readme_file:
readme = readme_file.read()
requirements = ['pandas>=1.1.0', 'numpy>=1.19.0', 'sklearn', 'seaborn', 'matplotlib', 'scipy', 'dvc', 'mlflow','tesnsorflow','kearas']
test_requirements = ['pytest>=3', ]
setup(
author="Same Michael",
email="[email protected]",
python_requires='>=3.6',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
description="Sales Predictions using regression models and deep learning",
install_requires=requirements,
long_description=readme,
include_package_data=True,
keywords='scripts, predictions, predictive models, deep learning predictions',
name='ab_test_machine_same',
packages=find_packages(include=['scripts', 'scripts.*']),
test_suite='tests',
tests_require=test_requirements,
url='https://github.com/SameC137/Rosmann_Sales',
version='0.1.0',
zip_safe=False,
)