adult
|
Adult dataset |
adult_test
|
Adult test dataset |
all_cutoffs()
|
All cutoffs |
calculate_group_fairness_metrics()
|
Calculate fairness metrics in groups |
ceteris_paribus_cutoff()
|
Ceteris paribus cutoff |
choose_metric()
|
Choose metric |
compas
|
Modified COMPAS dataset |
confusion_matrix()
|
Confusion matrix |
disparate_impact_remover()
|
Disparate impact remover |
expand_fairness_object()
|
Expand Fairness Object |
fairness_check()
|
Fairness check |
fairness_check_regression()
|
Fairness check regression |
fairness_heatmap()
|
Fairness heatmap |
fairness_pca()
|
Fairness PCA |
fairness_radar()
|
Fairness radar |
german
|
Modified German Credit data dataset |
group_matrices()
|
Group confusion matrices |
group_metric()
|
Group metric |
group_model_performance()
|
Group model performance |
metric_scores()
|
Metric scores |
performance_and_fairness()
|
Performance and fairness |
plot(<all_cutoffs>)
|
Plot all cutoffs |
plot(<ceteris_paribus_cutoff>)
|
Ceteris paribus cutoff plot |
plot(<chosen_metric>)
|
Plot chosen metric |
plot_density()
|
Plot fairness object |
plot_fairmodels()
|
Plot fairmodels |
plot(<fairness_heatmap>)
|
Plot Heatmap |
plot(<fairness_object>)
|
Plot fairness object |
plot(<fairness_pca>)
|
Plot fairness PCA |
plot(<fairness_radar>)
|
Plot fairness radar |
plot(<fairness_regression_object>)
|
Plot fairness regression object |
plot(<group_metric>)
|
Plot group metric |
plot(<metric_scores>)
|
Plot metric scores |
plot(<performance_and_fairness>)
|
Plot fairness and performance |
stack_metrics()
|
Stack metrics |
plot(<stacked_metrics>)
|
Plot stacked Metrics |
pre_process_data()
|
Pre-process data |
print(<all_cutoffs>)
|
Print all cutoffs |
print(<ceteris_paribus_cutoff>)
|
Print ceteris paribus cutoff |
print(<chosen_metric>)
|
Print chosen metric |
print(<fairness_heatmap>)
|
Print fairness heatmap |
print(<fairness_object>)
|
Print Fairness Object |
print(<fairness_pca>)
|
Print fairness PCA |
print(<fairness_radar>)
|
Print fairness radar |
print(<fairness_regression_object>)
|
Print Fairness Regression Object |
print(<group_metric>)
|
Print group metric |
print(<metric_scores>)
|
Print metric scores data |
print(<performance_and_fairness>)
|
Print performance and fairness |
print(<stacked_metrics>)
|
Print stacked metrics |
regression_metrics()
|
Regression metrics |
resample()
|
Resample |
reweight()
|
Reweight |
roc_pivot()
|
Reject Option based Classification pivot |