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...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 ____________________...

Hi, I run R 2.10.1 under ubuntu 10.04 LTS (Lucid Lynx) and klaR version 0.6-4. I compute a model over a 2 classes dataset (composed of 700 examples). To that aim, I use the function NaiveBayes provided in the package klaR. When I then use the prediction function : predict(my_model, new_data). I get the following warning : "In FUN(1:747[[747L]], ...) : Numerical 0 probability with

hi there!! i am trying to implement the code of the e1071 package for naive bayes, but it doens't really work, any ideas?? i am very glad about any help!! i need a naive bayes with 10-fold cross validation: code: library(e1071) model <- naiveBayes(code ~ ., mydata) tune.control <- tune.control(random = FALSE, nrepeat = 1, repeat.aggregate = min, sampling = c("cross"),