>
> Hello everyone,
>
> I use the following command lines to get important variable from training
> dataset.
>
>
> data.controls <- cforest_unbiased(ntree=500, mtry=3)
> data.cforest <- cforest(V1~.,data=rawinput,controls=data.controls)
> data.cforest.varimp <- varimp(data.cforest, conditional = TRUE)
>
> I got error: "Error in model.matrix.default(as.formula(f),data =
blocks):
> term 1 would require 4e+17 columns"
>
there is a factor with (too) many levels in your data frame `rawinput'.
summary(rawinput)
will tell you which one.
Torsten
> I changed data dimension to 150. The problem still exists. So, I guess
there
> are other problems. Please give me some help or hints. Thanks!
>
> jinrui,
>
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