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 > -- > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > Notice: This e-mail message, together with any attachme...{{dropped:12}} ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
