v0.4.6

• Handle case where reductions relabeling results in a single class

• Refactor metrics:

  • Remove GroupMetricResult type in favor of a Bunch.

  • Rename and slightly update signatures: * metric_by_group changed to group_summary * make_group_metric changed to make_metric_group_summary

  • Add group summary transformers {difference,ratio,group_min,group_max}_from_group_summary.

  • Add factory make_derived_metric.

• Add new metrics:

  • base metrics {true,false}_{positive,negative}_rate

  • group summary metrics <metric>_group_summary

  • derived metrics <metric>_{difference,ratio,group_min,group_max}

  • disparity metrics {demographic_parity,equalized_odds}_{difference,ratio}

• Remove metrics:

  • fallout_rate in favor of false_positive_rate

  • miss_rate in favor of false_negative_rate

  • specificity_score in favor of true_negative_rate

• Change from public to private:

  • mean_{over,under}prediction and {balanced_,}root_mean_squared_error changed to the versions with a leading underscore

• Fix warning due to changing default dtype when creating an empty pandas.Series.

• Enable fairlearn.reductions.GridSearch for more than two sensitive features values.

• Add new disparity constraints for reductions methods as moments in fairlearn.reductions including:

  • TruePositiveRateDifference

  • ratio options for all existing constraints in addition to the default, i.e., difference between groups w.r.t. the relevant metric.

• Make ExponentiatedGradient require 0-1 labels for classification problems, pending a better solution for Issue 339.