On Thu, 2012-02-09 at 14:52 +0100, Milan Bouchet-Valat wrote:
> Le jeudi 09 février 2012 à 15:31 +0200, Kari Ruohonen a écrit :
<snip>
> >
> > 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
Hi and thanks for the suggestion. Unfortunately, it results in a similar
error:
Error in .jcall(classifier, "V", "buildClassifier", instances) :
java.lang.Exception: Can't find class called:
weka.classifiers.bayes.NaiveBayes -D 1
regards, Kari
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