tl_fit_boost: Fit a gradient boosting model

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

Fit a gradient boosting model

Description

Fit a gradient boosting model

Usage

tl_fit_boost(
  data,
  formula,
  is_classification = FALSE,
  n.trees = 100,
  interaction.depth = 3,
  shrinkage = 0.1,
  n.minobsinnode = 10,
  cv.folds = 0,
  ...
)

Arguments

data	A data frame containing the training data
formula	A formula specifying the model
is_classification	Logical indicating if this is a classification problem
n.trees	Number of trees (default: 100)
interaction.depth	Depth of interactions (default: 3)
shrinkage	Learning rate (default: 0.1)
n.minobsinnode	Minimum number of observations in terminal nodes (default: 10)
cv.folds	Number of cross-validation folds (default: 0, no CV)
...	Additional arguments to pass to gbm()

Value

A fitted gradient boosting model

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