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pyproject.toml
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[tool.poetry]
name = "equalityml"
version = "0.2.0"
description = "Algorithms for evaluating fairness metrics and mitigating unfairness in supervised machine learning"
authors = [
"Ben Brintz, Mark Zhang, James Ng, Janice Davis, Jared Hansen, Ji won Chang, João Granja, Rizwan Muhammad <[email protected]>"
]
readme = ["PyPI_README.md"]
license = "Apache-2.0"
homepage = "https://equalityai.com"
classifiers=[
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
]
[tool.poetry.dependencies]
python = "^3.8"
aif360-fork2 = "0.5.0"
BlackBoxAuditing = "^0.1.54"
dalex = "^1.5.0"
fairlearn = "^0.7.0"
pandas = "^1.2.5"
scikit-learn = "^1.0"
numpy = "^1.20.3"
matplotlib = "^3.6.2"
scipy = "^1.9.3"
tqdm = "^4.64.1"
[tool.poetry.group.test.dependencies]
pytest = "^7.2.0"
pytest-cov = "^2.8.1"
[build-system]
# Minimum requirements for the build system to execute.
requires = ["setuptools", "wheel"] # PEP 508 specifications.
[tool.poetry.urls]
"Website" = "https://equalityai.com"
"Manifesto" = "https://equalityai.com/community/#manifesto"
"GitHub" = "https://github.com/EqualityAI/EqualityML"
"Slack" = "https://equalityai.slack.com/ssb/redirect#/shared-invite/email"