x or vector over which to
> iterate.
>
> stopCluster(cl)
>
> # Since I don't know what the model meant, I cannot determine whehter
> this result is interpretable>
> > RMSEP
> [[1]]
> [1] 0.1921887
>
> [[2]]
> [1] 0.1924917
>
> [[3]]
>
y(e1071))
clusterExport(cl,c("NR","Y","X"))
RMSEP<-clusterApplyLB(cl,?,sv.lin,c=cost1)
stopCluster(cl)
cls59 wrote:
>
>
> raluca wrote:
>>
>> Hello,
>>
>> Is the first time I am using SNOW package and I am trying to tune
Hello,
Is the first time I am using SNOW package and I am trying to tune the cost
parameter for a linear SVM, where the cost (variable cost1) takes 10 values
between 0.5 and 30.
I have a large dataset and a pc which is not very powerful, so I need to
tune the parameters using both CPUs of the pc
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