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Author:
Zikang Xu, Yuan Zhong, Qingsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li
Summary:
Fairness metrics for any binary classification or segmentation model: subgroup AUC, accuracy, calibration and Dice gaps, equalized odds and equity-scaled Dice
Latest version:
0.4.2
Required dependencies:
numpy
|
pandas
|
scikit-learn
Optional dependencies:
build
|
fairmedfm
|
nibabel
|
openpyxl
|
pillow
|
pyarrow
|
pytest
|
twine
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