| print.fairness_radar {fairmodels} | R Documentation | 
Print fairness radar
Description
Print fairness radar
Usage
## S3 method for class 'fairness_radar'
print(x, ...)
Arguments
| x | 
 | 
| ... | 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"
)
fradar <- fairness_radar(fobject)
print(fradar)
[Package fairmodels version 1.2.1 Index]