getPreProcessor: getPreProcessor

Description Usage Arguments Value See Also

Description

Preprocessing for regression in caret

Usage

1
2
getPreProcessor(dat, preProcess, preProcOptions = list(thresh = 0.95, ICAcomp
  = 3, k = 5, freqCut = 95/5, uniqueCut = 10, cutoff = 0.9))

Arguments

dat

data.frame containing the data to be preprocessed.

preProcess

Character vector with preprocessing steps for dat. Can be anything that caret allows (see preProcess) plus c('scaleAgain', 'centerAgain', 'minMax'). scaleAgain and centerAgain are used to rescale data after a PCA or a similar transformation has destroyed the original scaling by caret. minMax transforms the output into [0;1]. minMax is always executed as the last step.

preProcOptions

list of options for the different preProcessing steps from caret.

Value

List with the following items:

See Also

predictPreProcessor, invertPreProcessor


MarkusBonsch/mxLSTM documentation built on May 28, 2019, 6:40 a.m.