mlr3fairness 0.4.0

• compatibility adoption for mlr3 1.0.0
• replace posterdown as it is no longer available on CRAN
• Removed the ‘is_recid’ variable from the compas task
• Small fixes to unit tests, docs etc.

mlr3fairness 0.3.2

• The Task printer now prints the protected attribute.
• fairness_ tensor has a new argument normalize that controls normalization. Possible values are "all" (global) "group" (by group) and "none" (no normalization).
• Fix: unloading learners, tasks, measures and pipeops now removes them from dictionary.

mlr3fairness 0.3.1

• Minor update to improve stability of unit tests and vignette building on CRAN.

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.