tl_xgboost_shap: Generate SHAP values for XGBoost model interpretation

In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem

Generate SHAP values for XGBoost model interpretation

Description

Generate SHAP values for XGBoost model interpretation

Usage

tl_xgboost_shap(model, data = NULL, n_samples = 100, trees_idx = NULL)

Arguments

model	A tidylearn XGBoost model object
data	Data for SHAP value calculation (default: NULL, uses training data)
n_samples	Number of samples to use (default: 100, NULL for all)
trees_idx	Trees to include (default: NULL, uses all trees)

Value

A data frame with SHAP values

tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.