print_fairness_heatmap: Print fairness heatmap

In fairmodels: Flexible Tool for Bias Detection, Visualization, and Mitigation

Print fairness heatmap

Description

Print fairness heatmap

Usage

## S3 method for class 'fairness_heatmap'
print(x, ...)

Arguments

x	fairness_heatmap object
...	other print parameters

Examples

data("german")

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

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

rf_model <- ranger::ranger(Risk ~ .,
  data = german,
  probability = TRUE,
  num.trees = 200,
  num.threads = 1
)

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

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

# same explainers with different cutoffs for female
fobject <- fairness_check(explainer_lm, explainer_rf, fobject,
  protected = german$Sex,
  privileged = "male",
  cutoff = list(female = 0.4),
  label = c("lm_2", "rf_2")
)


fh <- fairness_heatmap(fobject)
print(fh)

fairmodels documentation built on Aug. 24, 2022, 1:05 a.m.