predictSVM {kebabs}R Documentation

SVM Access for Training and Prediction

Description

Functions for SVM access (used only for testing purpose)

Usage

predictSVM.KernelMatrix(x, model, predictionType, verbose, ...)

## S4 method for signature 'missing'
predictSVM(x, model, predictionType, verbose, ...)

## S4 method for signature 'ExplicitRepresentation'
predictSVM(x, model, predictionType, verbose,
  ...)

## S4 method for signature 'KernelMatrix'
trainSVM(x, y = NULL, svmInfo, verbose, ...)

## S4 method for signature 'ExplicitRepresentation'
trainSVM(x, y = NULL, svmInfo, verbose,
  ...)

Arguments

x

kernel matrix or explicit representation

model

KeBABS model

predictionType

type of prediction

verbose

controlling verbosity

...

additional arguments to be passed to the selected SVM

y

label vector

svmInfo

SVM related info

Details

These methods are exported only for test purpose and are not meant to be generally used.

Value

trainSVM: returns the SVM specific model

predictSVM: returns the prediction in native format

Examples

## this function is exported only for testing purpose
## use function kbsvm instead for examples see help page of kbsvm
data(TFBS)

[Package kebabs version 1.14.0 Index]