testSVM: Test a trained SVM on given data.

In aydindemircioglu/SVMBridge: A Bridge to Integrate Different 'SVM' Solvers into R

Description

This is the main routine for testing an SVM (or doing predictions).

Usage

testSVM(method = NULL, testDataFile = NULL, testDataX = NULL,
  testDataY = NULL, model = NULL, modelFile = NULL,
  readPredictions = FALSE, predictionsFile = NULL, extraParameter = "",
  verbose = FALSE, ...)

Arguments

method	Name of the method/solver to use for testing. If NULL, a detectModelTypeFromFile will be called on the given model (or modelfile).
testDataFile	File to read training data from. Cannot be specified at the same time as testDataX and testDataY.
testDataX	Matrix to read training data from. Cannot be specified at the same time as testDataFile.
testDataY	Matrix to read training label from. Cannot be specified at the same time as testDataFile.
model	A trained SVM model. Cannot be specified at the same time as modelFile.
modelFile	Path of the model file. Cannot be specified at the same time as model.
readPredictions	Shall the predictions be read back into memory and added to the model?
predictionsFile	File to which the predictions will be written.
extraParameter	Extra parameters for solver in form of a string.
verbose	Be verbose?
...	Further parameters that will be passed to the createTestArguments function of the wrapper.

Value

An SVM Test Object.

Note

testDataFile and testDataX,testDataY are exclusive parameters, i.e. you cannot specify both.

Make sure the modelFile is a character string and not a factor! Else you might obtain strange modelfile arguments.

aydindemircioglu/SVMBridge documentation built on May 11, 2019, 4:13 p.m.