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setup.py
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setup.py
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import os
from codecs import open
from setuptools import setup, find_packages, Extension
from Cython.Build import cythonize
import numpy as np
here = os.path.dirname(__file__)
# Get the long description from the README file
with open(os.path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
install_requires = ['dask', 'numpy', 'pandas', 'scikit-learn',
'scipy', 'dask-glm', 'dask-searchcv', 'six']
# Optional Requirements
doc_requires = ['sphinx', 'numpydoc', 'sphinx-rtd-theme', 'nbsphinx']
test_requires = ['coverage', 'pytest']
dev_requires = doc_requires + test_requires
tensorflow_requires = ['dask-tensorflow', 'tensorflow']
xgboost_requires = ['dask-xgboost', 'xgboost']
complete_requires = tensorflow_requires + xgboost_requires
extra_requires = {
'docs': doc_requires,
'test': test_requires,
'dev': dev_requires,
'tensorflow': tensorflow_requires,
'xgboost': xgboost_requires,
'complete': complete_requires,
}
# C Extensions
extensions = [
Extension(
"dask_ml.cluster._k_means",
[os.path.join(here, "dask_ml", "cluster", "_k_means.pyx")],
include_dirs=[np.get_include()],
),
]
setup(
name='dask_ml',
description='A library for distributed and parallel machine learning',
long_description=long_description,
url='https://github.com/dask/dask-ml',
author='Tom Augspurger',
author_email='[email protected]',
license='BSD',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Topic :: Database',
'Topic :: Scientific/Engineering',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
],
packages=find_packages(exclude=['docs', 'tests', 'tests.*', 'docs.*']),
use_scm_version=True,
setup_requires=['setuptools_scm'],
install_requires=install_requires,
extras_require=extra_requires,
ext_modules=cythonize(extensions),
)