Function reference

mlr_measures_fairness
 Fairness Measures in mlr3

MeasureFairness
 Base Measure for Fairness

MeasureFairnessComposite
 Composite Fairness Measure

MeasureFairnessConstraint
 Fairness Constraint Measure

MeasureSubgroup
 Evaluate a metric on a subgroup

groupdiff_tau()
groupdiff_absdiff()
groupdiff_diff()
 Groupwise Operations

groupwise_metrics()
 Evaluate a metric on each protected subgroup in a task.

mlr_measures_positive_probability
MeasurePositiveProbability
 Positive Probability Measure

fairness_tensor()
 Compute the Fairness Tensor given a Prediction and a Task

fairness_accuracy_tradeoff()
 Plot Fairness Accuracy Tradeoffs

fairness_prediction_density()
 Probability Density Plot

compare_metrics()
 Compare different metrics

mlr_pipeops_equalized_odds
PipeOpEOd
 Equalized Odds Debiasing

mlr_pipeops_reweighing
PipeOpReweighingWeights
PipeOpReweighingOversampling
 Reweighing to balance disparate impact metric

mlr_pipeops_explicit_pta
PipeOpExplicitPta
 PipeOpExplicitPta

mlr_learners_fairness
 Fair Learners in mlr3

report_datasheet()
 Create a Datasheet for Documenting a Dataset

report_modelcard()
 Create a Modelcard

report_fairness()
 Create a Fairness Report

adult
adult_test
adult_train
 Adult Dataset

task_summary()
 Task summary for fairness report