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setup.py
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import os
from setuptools import setup
def readme():
with open('README.rst') as f:
return f.read()
version_file= os.path.join('common_datasets', '_version.py')
__version__= "0.0.0"
with open(version_file) as f:
exec(f.read())
setup(name='common_datasets',
version=__version__,
description='common_datasets',
long_description=readme(),
classifiers=[
'Development Status :: 3 - Alpha',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
'Topic :: Scientific/Engineering :: Artificial Intelligence'],
url='http://github.com/gykovacs/common_datasets',
author='Gyorgy Kovacs',
author_email='gyuriofkovacs@gmail.com',
packages=['common_datasets',
'common_datasets.regression',
'common_datasets.clustering',
'common_datasets.binary_classification',
'common_datasets.multiclass_classification'],
install_requires=[
'numpy',
'pandas',
'scipy',
'scikit-learn',
'openpyxl'
],
py_modules=['common_datasets',
'common_datasets.regression',
'common_datasets.clustering',
'common_datasets.binary_classification',
'common_datasets.multiclass_classification'],
zip_safe=False,
package_dir= {'common_datasets': 'common_datasets',
'common_datasets.regression': 'common_datasets/regression',
'common_datasets.clustering': 'common_datasets/clustering',
'common_datasets.binary_classification': 'common_datasets/binary_classification',
'common_datasets.multiclass_classification': 'common_datasets/multiclass_classification'},
package_data= {'common_datasets': ['data/*/*/*', 'data/*.json']},
include_package_data=True
)