Hello,

I am trying to figure out what nnet does when you select nnet =TRUE, I
understand that it provides you with linear outputs, but I don't understand
how it arrives at those linear outputs. I assume that nnet still applies the
logistic function as the activation function for the nodes in the hidden
layer, but I also assume another activation function must be applied at the
output layer in order to return the predictions to the linear scale. I am
not able to figure out what is happening from the documentation, could
anyone provide more details about what nnet does at the output layer?

best,

Spencer

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