voomControl: Define controlling parameters for voom-based classifiers

In MLSeq: Machine Learning Interface for RNA-Seq Data

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

MLSeq documentation built on Nov. 8, 2020, 5:37 p.m.