https://github.com/alvinwan/neural-backed-decision-trees
Tip revision: f433bc8c9da04d57bb1650b11f27d8900b7c3d37 authored by dependabot[bot] on 01 May 2023, 21:23:51 UTC
Bump flask from 1.1.1 to 2.3.2 in /examples/app
Bump flask from 1.1.1 to 2.3.2 in /examples/app
Tip revision: f433bc8
setup.py
import setuptools
VERSION = "0.0.4"
with open("requirements.txt", "r") as f:
install_requires = f.readlines()
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="nbdt",
version=VERSION,
author="Alvin Wan", # TODO: proper way to list all paper authors?
author_email="hi@alvinwan.com",
description="Making decision trees competitive with state-of-the-art "
"neural networks on CIFAR10, CIFAR100, TinyImagenet200, "
"Imagenet. Transform any image classification neural network "
"into an interpretable neural-backed decision tree.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/alvinwan/neural-backed-decision-trees",
packages=setuptools.find_packages(),
install_requires=install_requires,
download_url="https://github.com/alvinwan/neural-backed-decision-trees/archive/%s.zip"
% VERSION,
scripts=["nbdt/bin/nbdt-hierarchy", "nbdt/bin/nbdt-wnids", "nbdt/bin/nbdt"],
classifiers=[
"Intended Audience :: Developers",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires=">=3.5",
include_package_data=True,
)