[R] NaiveBayes fails with one input variable (caret and klarR packages)

Max Kuhn mxkuhn at gmail.com
Tue Jun 30 20:12:55 CEST 2009


I'm figuring this out now and I'll let you know when it is resolved...

On Tue, Jun 30, 2009 at 11:31 AM, Damian Krstajic<dkrstajic at hotmail.com> wrote:
>
> Hello,
>
> We have a system which creates thousands of regression/classification models and in cases where we have only one input variable  NaiveBayes throws an error. Maybe I am mistaken and I shouldn't expect to have a model with only one input variable.
>
> We use R version 2.6.0 (2007-10-03). We use caret (v4.1.19), but have tested similar code with klaR (v.0.5.8), because caret relies on NaiveBayes implementation from klaR. I get different error messages from caret than from klaR so I will provide the code for caret usage and klaR usage.
>
> Here is the code which uses the iris dataset.
>
>> library(klaR);
> Loading required package: MASS
>> X<-iris["Sepal.Length"];
>> Y<-iris["Species"];
>> mnX<-as.matrix (X);
>> mnY<-as.matrix (Y);
>> cY<-factor(mnY);
>> d <- data.frame (cbind(mnX,cY));
>> m<-NaiveBayes(cY~mnX, data=d);
>> predict(m);
> Error in as.vector(x, mode) : invalid argument 'mode'
>> library(caret);
> Loading required package: lattice
>> mCaret<-train(mnX,cY,method="nb",trControl = trainControl(method = "cv", number = 10));
> Loading required package: class
> Fitting: usekernel=TRUE
> Fitting: usekernel=FALSE
>> predicted <- predict(mCaret, newdata=mnX);
> Error in 1:nrow(newdata) : NA/NaN argument
>>
>
> We use caret to call NaiveBayes and we don't have any error messages in cases where the number of input variables is greater than 1.
>
> Cheers
> DK
>
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-- 

Max




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