Tr: Re: how to pass weka classifier options with a meta classifier in RWeka?

Le jeudi 09 f?vrier 2012 ? 15:31 +0200, Kari Ruohonen a ?crit :

And then I am trying to run the classifier with:

nb.model<-AS(class~.,data=ex,
         control=Weka_control(
           E="weka.attributeSelection.CfsSubsetEval",
           S="weka.attributeSelection.BestFirst -D 1",
           W="weka.classifiers.bayes.NaiveBayes -D"))

But now, I get an error saying:

Error in .jcall(classifier, "V", "buildClassifier", instances) : 
  java.lang.Exception: Can't find class called:
weka.classifiers.bayes.NaiveBayes -D

indicating that the way I am passing the argument "-D" to the NaiveBayes
is incorrect. I am uncertain from the RWeka documentation how the
passing mechanism of Weka_control is supposed to work with meta
classifiers. All help is greatly appreciated.

I've never tried it myself, but ?Weka_control says:
     One can use lists for options taking multiple arguments, see the
     documentation for ?SMO? for an example.

So maybe
nb.model<-AS(class~.,data=ex,
                           control=Weka_control(
                            E="weka.attributeSelection.CfsSubsetEval",
                            S=list("weka.attributeSelection.BestFirst, D=1),
                            W=list("weka.classifiers.bayes.NaiveBayes", D=1)))


Cheers