fairmodels 0.2.2

• fairness_check_data now instead of 0 has NA due to concerns of interpretability - insignificant difference could lead up to maximal value of loss. With that change when NA is created user will see warning when plotting or printing. This doesn’t affect other objects and plots.
• Description fixes
• Added metric_scores plot to basic tutorial
• Updated new documentation in roc_pivot

fairmodels 0.2.1

• bug related to fairness check plot fixed - rectangles did not appear for low epsilon values

fairmodels 0.2.0

• adhering to four-fifths (80%) rule - changed fairness check and parity loss calculation. Now ratio is being calculated instead of differences.(#17)
• Some plots now have default fairness metrics - same as in fairness_check
• stack_metrics now has parameter fairness_metrics
• corrected vignettes
• enhanced tests

fairmodels 0.1.1

• changed examples in metric_scores function
• changed DALEX URL in README
• changed pre-processing to preprocessing in DESCRIPTION

fairmodels 0.1.0

• main function fairness_check() implemented
• various bias visualization functions implemented
• pre-processing and post-processing bias mitigation techniques implemented
• 2 vignettes present