Plots triplot

Plots triplot that sum up automatic aspect/feature importance grouping

# S3 method for triplot
plot(
  x,
  absolute_value = FALSE,
  add_importance_labels = FALSE,
  show_model_label = FALSE,
  abbrev_labels = 0,
  add_last_group = TRUE,
  axis_lab_size = 10,
  text_size = 3,
  bar_width = 5,
  margin_mid = 0.3,
  ...
)

Arguments

x	triplot object
absolute_value	if TRUE, aspect importance values will be drawn as absolute values
add_importance_labels	if TRUE, first plot is annotated with values of aspects importance on the bars
show_model_label	if TRUE, adds subtitle with model label
abbrev_labels	if greater than 0, labels for axis Y in single aspect importance plot will be abbreviated according to this parameter
add_last_group	if TRUE and type = predict, plot will draw connecting line between last two groups at the level of 105 biggest importance value, for model this line is always drawn at the baseline value
axis_lab_size	size of labels on axis
text_size	size of labels annotating values of aspects importance and correlations
bar_width	bar width in the first plot
margin_mid	size of a right margin of a middle plot
...	other parameters

Value

plot

Examples

library(DALEX)
set.seed(123)
apartments_num <- apartments[,unlist(lapply(apartments, is.numeric))]
apartments_num_lm_model <- lm(m2.price ~ ., data = apartments_num)
apartments_num_new_observation <- apartments_num[30, ]
explainer_apartments <- explain(model = apartments_num_lm_model,
                                data = apartments_num[,-1],
                                y = apartments_num[, 1],
                                verbose = FALSE)
apartments_tri <- calculate_triplot(x = explainer_apartments,
 new_observation = apartments_num_new_observation[-1])
plot(apartments_tri)