I run my data in nnet factor response (with 0 & 1 values) and explicitly put softmax=TRUE. I get the following error.
nn <- nnet(as.factor(table[,8])~.,data=table,size=2,linout=FALSE,entropy=FALSE,softmax=TRUE,censored=FALSE,rang=0.7,Hess=FALSE,trace=FALSE,MaxNwts=1000,decay=0.1,maxit=1000,skip=FALSE,abstol=1.0e-4,reltol=1.0e-8) Error in nnet.default(x, y, w, entropy = TRUE, ...) : formal argument "entropy" matched by multiple actual arguments Cant softmax be used for dichotomous response? i think i am missing out on something here. Can you please give more insight on this? Thanks for your help. -- View this message in context: http://r.789695.n4.nabble.com/using-softmax-in-nnet-tp3005013p3005013.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
