[metadata]
name = sarus_xgboost
description = Sarus library for dpxgboost
long_description = file: README.md
license = PRIVATE
author = Sarus
author_email = 
provides = sarus_xgboost
url = 
download_url = 
classifiers = 
	Programming Language :: Python :: 3
	Programming Language :: Python :: 3.8

[options]
zip_safe = False
python_requires = >=3.8
packages = find:
include_package_data = True
install_requires = 
	protobuf == 3.20.3
	dp_xgboost
	sarus-differential-privacy==0.3.5
	pandas
	numpy
	sarus-data-spec>=3.0.0
	scikit-learn

[options.extras_require]
tests = 
	pytest~=6.0.0
	pytest-mock~=3.2.0
	clevercsv
	sarus-statistics >=3.4.6

[options.package_data]
* = py.typed

[options.packages.find]
exclude = tests

[bdist_wheel]
universal = 1

[egg_info]
tag_build = 
tag_date = 0