Plot SHAP summary for XGBoost model — tl_plot_xgboost_shap_summary • tidylearn

Plot SHAP summary for XGBoost model

Usage

tl_plot_xgboost_shap_summary(model, data = NULL, top_n = 10, n_samples = 100)

Arguments

model: A tidylearn XGBoost model object
data: Data for SHAP value calculation (default: NULL, uses training data)
top_n: Number of top features to display (default: 10)
n_samples: Number of samples to use (default: 100, NULL for all)

Value

A ggplot object. Features are ranked by mean absolute SHAP value; a multiclass model is drawn one panel per class.

Examples

# \donttest{
if (requireNamespace("xgboost", quietly = TRUE)) {
  model <- tl_model(mtcars, mpg ~ ., method = "xgboost", nthread = 2)
  tl_plot_xgboost_shap_summary(model, n_samples = 20)
}

# }