mlr3fairness 0.3.0

• CRAN release version
• Minor improvements for groupwise_metrics, can now intersect multiple protected attributes.
• New metric, fairness.pp that allows for computing predictive parity.
• New metric, fairness.cv that allows for computing the Calders-Wevers gap.
• Add PipeOpExplicitPta thtat copies the pta column into a separate column.
• Minor bug fixes and improved tests for multiple learnes and pipeops.

mlr3fairness 0.2.0

• Added 3 types of reports: report_modelcard, report_datasheet, report_fairness
• Added several new fairness metrics
• Added 5 new learners (2 classification 3 regression) from package fairml.
  • classification: classif.fairzlrm | classif.fairfgrrm
  • regression: regr.fairnclm | regr.fairzlm | regr.fairfrrm.
• Added MeasureSubgroup and groupwise_metrics that allow for inspecting dis-aggregated fairness metrics.

mlr3fairness 0.1.0

• Added a NEWS.md file to track changes to the package.