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setup.cfg
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[metadata]
name = raimitigations
version = 1.1.1
description = Python library for implementing and exploring mitigations for Responsible AI.
author = Matheus Mendonça, Marah Abdin, Dany Rouhana
author_email = [email protected]
license = MIT License
url = https://github.com/microsoft/responsible-ai-toolbox-mitigations
long_description = file: README.md
long_description_content_type = text/markdown
classifiers =
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.10
Operating System :: OS Independent
[options]
packages = find:
install_requires =
numpy
pandas
seaborn
scipy
scikit-learn
imbalanced-learn<=0.9.1
sdv==0.18.0
mlxtend
researchpy
catboost
statsmodels
xgboost
raiutils
[options.extras_require]
all =
Jupyter
uci_dataset
seaborn
feature-engine
dev =
Jupyter
uci_dataset
seaborn
feature-engine
flaml[ray]
pre-commit
configparser
semver
wheel>=0.38.1
build
optuna==3.3.0
py
pytest
pytest-codecov
pytest-json-report
pytest-html
sphinx
sphinx_rtd_theme>=1.1.1
nbsphinx
nbconvert>=6.5.1
sphinx_gallery==0.10.1
nbstripout
nbformat
docutils<=0.17.1
xgboost<2.0.0
lightgbm
automit =
flaml[ray]
optuna==3.3.0
xgboost<2.0.0
lightgbm
[options.packages.find]
include =
raimitigations*
[flake8]
max-line-length = 120
extend-ignore =
E203,
F541,
E501,
E721,
E722,
E402,
E302
[pycodestyle]
max_line_length = 120
ignore =
E203,
F541,
E501,
E721,
E722,
E402,
E302