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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.