See the getTree() function in the package. Also, the source package
contains C code that does the prediction that you may be able to work
from.
Andy
From: Christian Sturz>
> Hi,
>
> I'm using the package randomForest to generate a classifier
> for the exemplary
> iris data set:
>
> data(iris)
> iris.rf<-randomForest(Species~.,iris)
>
> Is it possible to print all decision trees in the generated forest?
> If so, can the trees be also written to disk?
>
> What I actually need is to translate the decision trees in a
> random forest
> into equivalent C++ if-then-else constructs to integrate them in a C++
> project. Have this been done in the past and are there already any
> implemented approaches/parser for that?
>
> Cheers,
> Chris
> --
>
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