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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 leaerners, 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.