setup.py (38 lines of code) (raw):
from __future__ import absolute_import
import os
from glob import glob
from os.path import basename
from os.path import splitext
from setuptools import setup, find_packages
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name='sagemaker_sklearn_container',
version='2.0',
description='Open source library for creating SciKit-Learn containers to run on Amazon SageMaker.',
packages=find_packages(where='src', exclude=('test',)),
package_dir={'': 'src'},
py_modules=[splitext(basename(path))[0] for path in glob('src/*.py')],
long_description=read('README.rst'),
author='Amazon Web Services',
license='Apache License 2.0',
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Natural Language :: English",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
],
install_requires=read("requirements.txt"),
extras_require={
'test': read("test-requirements.txt")
},
entry_points={
'console_scripts': 'serve=sagemaker_sklearn_container.serving:serving_entrypoint'
},
python_requires='>=3.6',
)