HI, Dear R community,

I am using the nnet to fit a neural network model to do classification on
binary target variable (0, 1). I am using the following codes:

nnet.fit<-nnet(as.factor(out) ~ ., data=train,  size=5, rang=0.3,
decay=5e-4, maxit=500)

I want to know what is the activation function for the original inputs, is
it sigmoid activation function?

and what is the output activation function?  should it be logit?
log[pr(y=1|x) / (1-pr(y=1|x)) ] ?

Thanks so much!


-- 
Sincerely,
Changbin
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