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
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
Looks like you meant to use 'TRUE' not 'T'. The latter is probably a variable you defined of length > 1. Double-posting at least halves your chances of getting help, so please stop doing it. On Fri, 15 Feb 2008, G Ilhamto wrote:> 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 > > ______________________________________________ > R-help at 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. >-- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595