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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
from setuptools import setup
with open('README.md') as readme_file:
long_description = readme_file.read()
requirements = [
'plotly==4.12.0',
'numpy>1.18.0',
'pandas>1.0.2',
'shap==0.37.0',
'dash==1.17.0',
'dash-bootstrap-components==0.9.1',
'dash-core-components==1.13.0',
'dash-daq==0.5.0',
'dash-html-components==1.1.1',
'dash-renderer==1.8.3',
'dash-table==4.11.0',
'nbformat>4.2.0',
'numba==0.51.2',
'nbconvert==6.0.7',
'papermill==2.3.2',
'matplotlib>=3.0',
'seaborn==0.11.1'
]
setup_requirements = ['pytest-runner', ]
test_requirements = ['pytest', ]
setup(
name="shapash", # Replace with your own username
version="1.3.1",
python_requires='>3.5, < 3.9',
url='https://github.com/MAIF/shapash',
author="Yann Golhen, Sebastien Bidault, Yann Lagre, Maxime Gendre",
author_email="[email protected]",
description="Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone.",
long_description=long_description,
long_description_content_type='text/markdown',
classifiers=[
"Programming Language :: Python :: 3",
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
],
install_requires=requirements,
license="Apache Software License 2.0",
keywords='shapash',
package_dir={
'shapash': 'shapash',
'shapash.data': 'shapash/data',
'shapash.decomposition': 'shapash/decomposition',
'shapash.explainer': 'shapash/explainer',
'shapash.manipulation': 'shapash/manipulation',
'shapash.report': 'shapash/report',
'shapash.utils': 'shapash/utils',
'shapash.webapp': 'shapash/webapp',
'shapash.webapp.utils': 'shapash/webapp/utils',
},
packages=['shapash', 'shapash.data', 'shapash.decomposition',
'shapash.explainer', 'shapash.manipulation',
'shapash.utils', 'shapash.webapp', 'shapash.webapp.utils',
'shapash.report'],
data_files=[('data', ['shapash/data/house_prices_dataset.csv']),
('data', ['shapash/data/house_prices_labels.json']),
('data', ['shapash/data/titanicdata.csv']),
('data', ['shapash/data/titaniclabels.json'])],
include_package_data=True,
setup_requires=setup_requirements,
test_suite='tests',
tests_require=test_requirements,
zip_safe=False,
)