I believe you want to fit a nnet model to predict numeric data.
you can try as follows:
xx <- "Matrix of size INPUTS*EXAMPLESTRAIN"
yy <- "Vector of size EXAMPLESTRAIN"
x1 <- "Matrix of size INPUTS*EXAMPLESTEST"
# fit your model like this
nnetmodel <- nnet(x=xx, y=yy, ....)
# or like this only if dealing with a data.frame
nnetmodel <- nnet(outname ~ in1name + ... inNname, ....)
# here numdata will become a vector of size EXAMPLESTEST.
numdata <- predict(nnetmodel, x1)
Best Regards
Pedro
On Fri, 2004-02-06 at 14:36,
optimisation1.stagiaire at lagardere-active.com wrote:>
>
>
> Hello everybody,
>
> I want to use the nnet library and my problem is that the algorithm seems
> to accept only class as target when the neural is fiiting. So the output
> when I use predict.nnet is also a class. Is it possible to have numeric
> variable as target ? If yes, what is the syntax ?
>
> Thank you.
>
>
> Cordialement,
>
> R?gis CHARIGNON
>
>
>
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