On Tue, 31 May 2011, Duygu Gunaydin wrote:
> Hi,
>
> I am trying to run a nnet algorithm but when I try to use the predict
function with type='class', it gives the following error:
>
> fit <- nnet(y~., size = 1, data = train.set, rang = 0.5, maxit=200,
decay = 0)
>
> predict<-predict(fit,test.set,type='class')
> Error in predict.nnet(fit, test.set, type = "class") :
> inappropriate fit for class
>
> I couldn't figure out the reason for this, are there any specifications
to use type='class' that I am missing?
Please see the footer of this message. Very likely 'y' was not a
factor, but we haven't been told what it is.
>
> Thank you,
>
> Duygu Gunaydin
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--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
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