Please report bugs in packages to the corresponding package maintainer
(perhaps suggesting a fix if you have an idea how to do that).
Uwe Ligges
On 14.02.2012 12:42, Martin Batholdy wrote:
Hi,
according to ?rvm the relevance vector machine function as implemented in the
kernlab-package
has an argument 'cross' with which you can perform k-fold cross validation.
However, when I try to add a 10-fold cross validation I get the following error
message:
Error in match.arg(type, c(C-svc, nu-svc, kbb-svc, spoc-svc, C-bsvc,
:
'arg' should be one of “C-svc”, “nu-svc”, “kbb-svc”, “spoc-svc”, “C-bsvc”,
“one-svc”, “eps-svr”, “eps-bsvr”, “nu-svr”
code-example:
# create data
x- seq(-20,20,0.1)
y- sin(x)/x + rnorm(401,sd=0.05)
# train relevance vector machine
foo- rvm(x, y, cross=10)
So, does that mean that cross-validation is not working for rvm at the moment?
(since the type argument only allows support vector regression or
classification)
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