Hello all,
I need some help with extracting the feature-wise weights from the SVM
object that is the output of *ksvm* function in R (from *kernlab* package).
For instance, if I use the same data/example as the help page does, i.e.,
data(spam)
index <- sample(1:dim(spam)[1])
spam.train <- spam[index[1:floor(2*dim(spam)[1]/3)],]
spam.test <- spam[index[((2*ceiling(dim(spam)[1]/3))+1):dim(spam)[1]],]
filter <- ksvm(type ~ ., data = spam.train, kernel = "vanilladot")
Can someone please help me find out how I can extract the weight from the
SVM object *filter*. Your help is much appreciated.
Best,
--
Reza Salimi-Khorshidi, D.Phil. (Oxon)
Analysis Group, FMRIB Centre of the University of Oxford
Email: r...@fmrib.ox.ac.uk
Address: FMRIB Centre, John Radcliffe Hospital, Oxford OX3 9DU, UK
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