Change Log#
[0.1.1] - 2024-06-19#
Added#
Parameter
prefer_high_scoresto allow for both types of scores. This allowed for shorter dataset handling of the COMPAS examples.Preparation to host docs on readthedocs.
Fixed#
Show correct project-link on pypi.org
README.mdshows the correct installation command
[0.1.0] - 2024-06-03#
Added#
Bias Metric Classes for
Calibration:
fairscoring.metrics.CalibrationMetricWasserstein Distance:
fairscoring.metrics.WassersteinMetricROC-base Metrics:
fairscoring.metrics.roc.ROCBiasMetric
Default Bias Metrics for
Equal Opportunity:
fairscoring.metrics.bias_eoPredictive Equality:
fairscoring.metrics.bias_peCalibration:
fairscoring.metrics.bias_calIndependence:
fairscoring.metrics.bias_indROC:
fairscoring.metrics.roc.bias_rocxROC:
fairscoring.metrics.roc.bias_xroc
Experiments on
Adult Dataset
COMPAS Dataset
German Credit Risk Dataset
Tests for compatibility with results in the publication
COMPAS Dataset