I just put a new version on cran...
On 6/30/09 2:12 PM, "Max Kuhn" <mxk...@gmail.com> wrote: > 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<dkrsta...@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 >> >> _________________________________________________________________ >> [[elided Hotmail spam]] >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
