[R] Softmax in nnet

[G Ilhamto]

Hi R help,

I run my data in nnet with skip layer, factor response (with 0 & 1
values) and explicitly put softmax=T to compare the result of the
default nnet with no softmax specification. I assume this should give
me the same result. I got the result the default one, but not the
softmax version and I got the error message that I did not quite
understand.

test6.nn.skipT.softm.Yfac <- nnet(Yfac~ X1 +.. +X8, skip=T, size=0,
softmax=T, data = train.set)

Error in nnet.default(x, y, w, entropy = TRUE, ...) : no weights to fit

In addition: Warning messages:
1: In if (softmax) { :  the condition has length > 1 and only the
first element will be used
2: In if (skip) net <- add.net(net, seq(1, net$n[1]), seq(1 + net$n[1] +  :
 the condition has length > 1 and only the first element will be used

When I specify the weights (0.1 just for a try)
test6.nn.skipT.softm.Yfac <- nnet(Yfac~ X1 +.. +X8, skip=T, size=0,
weights= 0.1, softmax=T, data = train.set)

I got another error message:
Error in model.frame.default(formula = Yfac ~ HusYEduc + AgeRespd +
muslimat +  :
variable lengths differ (found for '(weights)')
-----------------

Q: Does softmax apply to two-category response?
    What is softmax require?

Thank you,
Ilham