[R] Erros with RVM and LSSVM from kernlab library
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Wed Aug 19 21:09:11 CEST 2009
On Aug 19, 2009, at 2:54 PM, Noah Silverman wrote:
> Hi Steve,
> No custom kernel. (This is the exact same data that I call svm
> with. svm works without a complaint.)
> traindata is just a dataframe of numerical attributes
> trainlabels is just a vector of labels. ("good", "bad")
> Then I call
> model <- rvm(x,y)
is x really a data.frame? Can you try to turn it into a matrix to see
if it will get you over this speed bump?
model <- rvm(as.matrix(x), y)
I reckon if x is a data.frame, R is invoking the rvm function that's
meant to work on list(s), rather than the matrix which you think
you're passing in.
Does that do the trick?
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact
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