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A library for detecting and mitigating bias in machine learning models, with a focus on interoperability with scikit-learn, Pandas, and PyTorch.
pip install aequitas-fairlib
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.0.0,>=1.5.0<3.0.0,>=2.2.2<7.0.0,>=6.0.0<6.0.0,>=5.10.4<2.0,>=1.15<3.0.0,>=2.1.3aequitas-fairlib publishes 1 wheel and 1 source archive for version 2.8.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.