R help - Jan 2013 - Help with a parallel process

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?


Thanks and kind regards

-- 
David Zamora Ávila (I.C.)
Estudiante de la Maestría en Hidrosistemas
Pontificia Universidad Javeriana
Bogota, Colombia
Ed. José Gabriel Maldonado
Tel.: 3 20 83 20 Ext.: 5259

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On 16.01.2013 17:13, David Zamora ?vila 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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