R: Tune a forest

tune_forest {grf} | R Documentation

## 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

[Package grf version 2.0.1 Index]