Hi,
I am using nnet function to run regression and classification algorihtms.
following are my questions
1. test<-nnet(Strength~.,cement,skip=T,size=0,linout=T), why linout=T always
for Regression algorithm
2. In the help, linout, entropy, softmax and censored are mutually
exclusive. but i can
Hi,
I am new to nueral networks and R. i want run the NN using nnet.
Following are my Questions.
1> To run regression using nnet, why should i specify linout=T always?. if
not it is not prediciting properly
2>In the help, i have read that linout, entropy, softmax and censored are
mutually excl
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