File size: 1,901 Bytes
fc0f7bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import setuptools
import fairlearn
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name=fairlearn.__name__,
version=fairlearn.__version__,
author="Miroslav Dudik, Richard Edgar, Brandon Horn, Roman Lutz",
author_email="fairlearn@microsoft.com",
description="Algorithms for mitigating unfairness in supervised machine learning",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/fairlearn/fairlearn",
packages=setuptools.find_packages(),
python_requires='>=3.5',
install_requires=[
"ipywidgets>=7.5.0",
"numpy>=1.17.2",
"pandas>=0.25.1",
"scikit-learn>=0.21.3",
"scipy>=1.3.1"
],
extras_require={
"customplots": [
"matplotlib>=3.0.3"
]
},
classifiers=[
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Development Status :: 3 - Alpha"
],
include_package_data=True,
data_files=[
('share/jupyter/nbextensions/fairlearn-widget', [
'fairlearn/widget/static/extension.js',
'fairlearn/widget/static/extension.js.map',
'fairlearn/widget/static/index.js',
'fairlearn/widget/static/index.js.map'
]),
("etc/jupyter/nbconfig/notebook.d", [
"jupyter-config/nbconfig/notebook.d/fairlearn-widget.json"
]),
('share/jupyter/lab/extensions', [
'fairlearn/widget/js/'
'fairlearn_widget/labextension/fairlearn-widget-0.1.0.tgz'
])],
zip_safe=False,
)
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