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48 lines (40 loc) · 1.42 KB
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#!/usr/bin/env python
# -*- encoding: utf-8 -*-
from __future__ import absolute_import, print_function
import io
import re
from os.path import dirname
from os.path import join
from setuptools import setup, find_packages
def read(*names, **kwargs):
return io.open(
join(dirname(__file__), *names),
encoding=kwargs.get("encoding", "utf8")
).read()
setup(
name='deepforest',
url="https://github.com/nitlev/deepforest",
author='Veltin DUPONT',
author_email='veltind@gmail.com',
classifiers=[
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Data scientists',
'Topic :: Deep Learning :: Deep Forests',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python 2.7 :: Python 3.3+',
],
keywords='random forest :: deep learning',
version='0.2.0',
license='MIT',
description='This is a simple implementation of the deep forest method',
long_description=re.compile('^.. start-badges.*^.. end-badges',
re.M | re.S).sub('', read('README.md')),
packages=["deepforest"],
package_dir={"deepforest": "deepforest"},
include_package_data=True,
zip_safe=True,
setup_requires=['pytest-runner'],
tests_require=['pytest']
)