[R] naiveBayes other than e1071

[Saeed Abu Nimeh]

Max,
Thanks. I have tried it but i keep getting an error:
Error in as.vector(x, mode) : invalid argument 'mode'
Do I have to do something specific when using the class column. I tried
both  y.y<-as.vector and y.y<-as.factor.

dread<-read.table('dataset.csv',sep=",")
x.x<-as.matrix(dread[,2:256])
y.y<-as.vector(dread[,1])
nb<- NaiveBayes(x=x.x,grouping=y.y)
pred.nb<-predict(nb)

Error in as.vector(x, mode) : invalid argument 'mode'

Thanks,
Saeed

Kuhn, Max wrote:
> Saeed,
> 
> There is a version in the klaR package. I recently submitted a change to
> the predict function that may be related to your problem. 
> 
> If:
> 
>   1. the posterior probabilities (apart from the prior) are being
> approximated by the product of the p(x_i|y_j) and
> 
>   2. a lot of predictors are being used
> 
> then posterior probabilities may have values of absolute zero. 
> 
> When the approximation is used, the approximate posterior probabilities
> are normalized by their sum (which is zero in such cases).
> 
> The patch in klaR uses the product of the conditional divided by the
> marginal of x_i (per the true formula). I haven't seen the problem occur
> with this patch.
> 
> HTH,
> 
> Max
> 
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Saeed Abu Nimeh
> Sent: Monday, June 04, 2007 2:45 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] naiveBayes other than e1071
> 
> Hi List,
> Is there a naiveBayes interface other than the one in e1071 package. For
> some reason on certain datasets all predicted values are NaN, but it
> predicts well on others.
> Thanks,
> Saeed
> ---
> model <- naiveBayes(x.train, y.train, laplace = 3)
> pred <- predict(model,x.test,type="raw")
> 
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