Displaying 2 results from an estimated 2 matches for "cvtype".
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2007 Jan 22
0
Recursive-SVM (R-SVM)
...<- vector()
x[1] <- Ntotal
for( i in 1:100 )
{
pp <- round(x[i] * pRatio)
if( pp == x[i] )
{
pp <- pp-1
}
if( pp >= Nmin )
{
x[i+1] <- pp
} else
{
break
}
}
x
}
## R-SVM core code
## input:
## x: row matrix of data
## y: class label: 1 / -1 for 2 classes
## CVtype:
## integer: N fold CV
## "LOO": leave-one-out CV
## "bootstrape": bootstrape CV
## CVnum: number of CVs
## LOO: defined as sample size
## Nfold and bootstrape: user defined, default as sample size
## output: a named list
## Error: a vector of CV error on each level
##...
2008 Feb 05
0
Uninformative error msgs w/ svm.default - Error in svm.default ... y must be a vector or a factor -
...1 1
>
> m.cl.f
[1] 1 1 1 1 1 -1 -1 -1 -1 -1
Levels: -1 1
> mode(m.cl.f)
[1] "numeric"
the rSVM function is called as such (it is a wrapper for svm in e1071, which then calls low-level svm.default ) -
> rsvm_output <- RSVM(x=svm_num_mat, y=m.cl.f, ladder=laddy, CVtype="LOO" )
Error in svm.default(xTrain[, SelInd], yTrain, scale = F, type = "C-classification", :
y must be a vector or a factor.
....the 'laddy' variable just specifies a recursive parameter for the overlying rSVM procedure - here, it calls the 1st round w/ all 123...