Fairness Auditing and Debiasing for 'mlr3'

---

Documentation for package ‘mlr3fairness’ version 0.3.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

adult	Adult Dataset
adult_test	Adult Dataset
adult_train	Adult Dataset
compare_metrics	Compare different metrics
Compas	COMPAS Dataset
compas	COMPAS Dataset
compute_metrics	Compute metrics for non-mlr3 predictions.
fairness_accuracy_tradeoff	Plot Fairness Accuracy Trade-offs
fairness_prediction_density	Probability Density Plot
fairness_tensor	Compute the Fairness Tensor given a Prediction and a Task
fairness_tensor.data.table	Compute the Fairness Tensor given a Prediction and a Task
fairness_tensor.PredictionClassif	Compute the Fairness Tensor given a Prediction and a Task
fairness_tensor.ResampleResult	Compute the Fairness Tensor given a Prediction and a Task
groupdiff_absdiff	Groupwise Operations
groupdiff_diff	Groupwise Operations
groupdiff_tau	Groupwise Operations
groupwise_metrics	Evaluate a metric on each protected subgroup in a task.
MeasureFairness	Base Measure for Fairness
MeasureFairnessComposite	Composite Fairness Measure
MeasureFairnessConstraint	Fairness Constraint Measure
MeasurePositiveProbability	Positive Probability Measure
MeasureSubgroup	Evaluate a metric on a subgroup
mlr_learners_fairness	Fair Learners in mlr3
mlr_measures_fairness	Fairness Measures in mlr3
mlr_measures_positive_probability	Positive Probability Measure
mlr_pipeops_equalized_odds	Equalized Odds Debiasing
mlr_pipeops_explicit_pta	PipeOpExplicitPta
mlr_pipeops_reweighing	Reweighing to balance disparate impact metric
PipeOpEOd	Equalized Odds Debiasing
PipeOpExplicitPta	PipeOpExplicitPta
PipeOpReweighingOversampling	Reweighing to balance disparate impact metric
PipeOpReweighingWeights	Reweighing to balance disparate impact metric
report_datasheet	Create a Datasheet for Documenting a Dataset
report_fairness	Create a Fairness Report
report_modelcard	Create a Modelcard
task_summary	Task summary for fairness report