On 16.01.2013 17:13, David Zamora Ávila wrote:
Hi R-Core,
i am using nnet and DEoptim,
Xcc=matrix(rnorm(100,0.5,0.08),50,2)
Ycr=matrix(rnorm(50,0.2,0.05),50,1)
pred_regm1 <- function(A) {
A1=A[1]
A2=A[2]
A3=A[3]
regm1 <-
nnet(Xcc,Ycr,entropy=T,size=A1,decay=A2,maxit=2000,trace=F,Hess=T,rang=A3,skip=T)
dif=sum((predict(regm1,Xcc)-Ycr)^2)
return(dif)
}
somar=DEoptim(pred_regm1,c(1,0.00001,0.01), c(25,0.999,0.95),
control = DEoptim.control(steptol=25,trace =
FALSE,itermax=500,parallelType=1))
but implemented parallel process, i have next error:
Error en checkForRemoteErrors(val) : 4 nodes produced errors; first
error: could not find function "nnet"
how I can solve my mistake?
Load nnet on all the nodes, not only on the master.
Best,
Uwe Ligges
Thanks and kind regards
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