SvmPCFit {DSWE} | R Documentation |
SVM based power curve modelling
Description
SVM based power curve modelling
Usage
SvmPCFit(trainX, trainY, testX, kernel = "radial")
Arguments
trainX |
a matrix or dataframe to be used in modelling |
trainY |
a numeric or vector as a target |
testX |
a matrix or dataframe, to be used in computing the predictions |
kernel |
default is 'radial' else can be 'linear', 'polynomial' and 'sigmoid' |
Value
a vector or numeric predictions on user provided test data
Examples
data = data1
trainX = as.matrix(data[c(1:100),2])
trainY = data[c(1:100),7]
testX = as.matrix(data[c(101:110),2])
Svm_prediction = SvmPCFit(trainX, trainY, testX)
[Package DSWE version 1.8.2 Index]