Hi André >> I'm trying to use bart() ... but I can't predict my test data.
There is no predict() method, as such, but read ?pdbart very carefully, and work through the examples. The fitted/predicted values from a fit are in bartobject$yhat.train.mean It would be a good idea to read the two PDFs that the authors provide at http://faculty.chicagogsb.edu/robert.mcculloch/research/rob-mcculloch-cv.html I've had excellent results from BayesTree, with fits that rival those of Friedman's RuleFit, though the whole process takes a great deal longer. HTH, Mark. andreBR wrote: > > Hi all, > > sorry for my english, but I don't speak yours language. > I'm trying to use bart() and rbf(). The package I'm using now is > "BayesTree" and "neural", respectively. I could create the models, but I > can't predict my test data. > Does anyone have such an experience? Any advice is appreciated! > > Thank you in advanced!. > > > André > -- View this message in context: http://www.nabble.com/How-to-use-BayesTree-or-RBF-for-predict-tp15562371p15562524.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
