| adult | Adult Dataset |
| compas | COMPAS Dataset |
| compute_metrics | Compute metrics for non-mlr3 predictions. |
| fairness_accuracy_tradeoff | Plot Fairness Accuracy Trade-offs |
| fairness_compare_metrics | Compare different metrics |
| fairness_prediction_density | Probability Density Plot |
| fairness_tensor | Compute the Fairness Tensor given a Prediction and a Task |
| 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 |
| MeasureSubgroup | Evaluate a metric on a subgroup |
| mlr3fairness-package | mlr3fairness: Fairness Auditing and Debiasing for 'mlr3' |
| mlr_learners_classif.fairfgrrm | Classification Fair Generalized Ridge Regression Learner |
| mlr_learners_classif.fairzlrm | Classification Fair Logistic Regression With Covariance... |
| mlr_learners_fairness | Fair Learners in mlr3 |
| mlr_learners_regr.fairfrrm | Regression Fair Ridge Regression Learner |
| mlr_learners_regr.fairnclm | Regression Non-convex Fair Regression Learner |
| mlr_learners_regr.fairzlm | Regression Fair Regression With Covariance Constraints... |
| 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 |
| 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 |
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