R help - Feb 2012 - cross validation in rvm not working? (kernlab package)

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)

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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