voomControl {MLSeq} | R Documentation

## Define controlling parameters for voom-based classifiers

### Description

This function sets the control parameters for voom based classifiers while training the model.

### Usage

    voomControl(method = "repeatedcv", number = 5, repeats = 10,
      tuneLength = 10)

### Arguments

`method` | validation method. Support repeated cross validation only ("repeatedcv").
`number` | a positive integer. Number of folds.
`repeats` | a positive integer. Number of repeats.
`tuneLength` | a positive integer. If there is a tuning parameter in the classifier, this value is used to define total number of tuning parameter to be searched.

### Author(s)

Dincer Goksuluk, Gokmen Zararsiz, Selcuk Korkmaz, Vahap Eldem, Ahmet Ozturk and Ahmet Ergun Karaagaoglu

### See Also

`classify`, `trainControl`, `discreteControl`

### Examples

    1L

[Package MLSeq version 2.6.0 Index]