HI, Dear R community,

My data set has 2409 variables, the  last one is response variable.  I have
used the nnet after feature selection and works. But this time, I am using
nnet to fit a model without feature selection. I got the following error
information:

> dim(train)
[1] 1827 2409

 nnet.fit<-nnet(as.factor(out) ~ ., data=train,  size=3, rang=0.3,
decay=5e-4, maxit=500)  # model fitting
*Error in nnet.default(x, y, w, entropy = TRUE, ...) :
  too many (7231) weights*


The data set is bigger than 25MB, can not be attached.

Many thanks!


-- 
Sincerely,
Changbin
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