Nothing
README.md
class(x) == 'fairness_regression_object
to inherits(x, "fairness_regression_object")
in plot_density.R
according to CRAN commentsfairness_object
. fairness_object
metric_scores
plot to match the ones in fairness_check
privileged
parameter is now converted to character. (#41)reweight()
function now accepts factors (#41)fairness_check_regression()
that supports regression models along with 2 plot types (#38).fairness_check()
code.fairness_check()
. num.threads = 1
to ranger
and added donttest{} to examples with long computation time. fairness_check()
documentation.fairness_check
without an explainer. (#36)epsilon
parameter in fairness_check()
function.NA
warning in metrics that are not chosen. (#32)parity_loss
is calculated in all_cutoffs
and ceteris_paribus_cutoff
. (#24)fairness_check_metrics()
. (#29)Basic Tutorial
(#26)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.metric_scores
plot to basic tutorialroc_pivot
fairness check plot
fixed - rectangles did not appear for low epsilon valuesfairness_check
stack_metrics
now has parameter fairness_metrics
metric_scores
functionDALEX
URL in READMEfairness_check()
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