Po-Chuan Hsieh
3cbcc60d7f
Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system's fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as metrics for model assessment. Besides the source code, this repository also contains Jupyter notebooks with examples of Fairlearn usage.
29 lines
978 B
Makefile
29 lines
978 B
Makefile
PORTNAME= fairlearn
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PORTVERSION= 0.14.0
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CATEGORIES= math python
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MASTER_SITES= PYPI
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= sunpoet@FreeBSD.org
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COMMENT= Python package to assess and improve fairness of machine learning models
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WWW= https://fairlearn.org/ \
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https://github.com/fairlearn/fairlearn
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LICENSE= MIT
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools>=0:devel/py-setuptools@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}narwhals>=1.14.0:math/py-narwhals@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}numpy>=1.24.4,1:math/py-numpy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pandas>=2.0.3,1:math/py-pandas@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}scikit-learn>=1.5.0:science/py-scikit-learn@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}scipy>=1.9.3,1:science/py-scipy@${PY_FLAVOR}
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USES= python
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USE_PYTHON= autoplist concurrent pep517
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NO_ARCH= yes
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.include <bsd.port.mk>
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