fairmodels (version 1.1.0)

expand_fairness_object: Expand Fairness Object

Description

Unfold fairness object to 3 columns (metrics, label, score) to construct better base for visualization.

Usage

expand_fairness_object(
  x,
  scale = FALSE,
  drop_metrics_with_na = FALSE,
  fairness_metrics = NULL
)

Arguments

x

object of class fairness_object

scale

logical, if TRUE standardized.

drop_metrics_with_na

logical, if TRUE metrics with NA will be omitted

fairness_metrics

character, vector of fairness metrics names indicating from which expand.

Value

object of class expand_fairness_object. It is a data.frame with scores for each metric and model.

Examples

# NOT RUN {
data("german")

y_numeric <- as.numeric(german$Risk) -1

lm_model <- glm(Risk~.,
                data = german,
                family=binomial(link="logit"))

explainer_lm <- DALEX::explain(lm_model, data = german[,-1], y = y_numeric)

fobject <- fairness_check(explainer_lm,
                          protected = german$Sex,
                          privileged = "male")
expand_fairness_object(fobject, drop_metrics_with_na = TRUE)

# }
# NOT RUN {
rf_model <- ranger::ranger(Risk ~.,
                           data = german,
                           probability = TRUE,
                           num.trees = 200)


explainer_rf <- DALEX::explain(rf_model, data = german[,-1], y = y_numeric)

fobject <- fairness_check(explainer_rf, fobject)

expand_fairness_object(fobject, drop_metrics_with_na = TRUE)

# }