tune_forest: Tune a forest

In grf: Generalized Random Forests

Tune a forest

Description

Finds the optimal parameters to be used in training a forest.

Usage

tune_forest(
  data,
  nrow.X,
  ncol.X,
  args,
  tune.parameters,
  tune.parameters.defaults,
  tune.num.trees,
  tune.num.reps,
  tune.num.draws,
  train
)

Arguments

data	The data arguments (output from create_train_matrices) for the forest.
nrow.X	The number of observations.
ncol.X	The number of variables.
args	The remaining call arguments for the forest.
tune.parameters	The vector of parameter names to tune.
tune.parameters.defaults	The grf default values for the vector of parameter names to tune.
tune.num.trees	The number of trees in each 'mini forest' used to fit the tuning model.
tune.num.reps	The number of forests used to fit the tuning model.
tune.num.draws	The number of random parameter values considered when using the model to select the optimal parameters.
train	The grf forest training function.

Value

tuning output

grf documentation built on April 3, 2025, 10:11 p.m.