One way to port these kinds of models between applications is the Predictive Model Markup Language (PMML). The R package 'PMML' supports linear regression, rpart, SVM, and others, not adaBoost. On the other side, not even the Python machine learning library Orange does have an import function for PMML.
Perhaps a more attractive possibility is to call R functions from Python through the 'Rpy' <http://rpy.sourceforge.net/> Python interface to R. You could send data from Python to R for being handled by adaBoost and get back the results. Of course, R and Python need be installed on your machine and you cannot generate a single executable., // Hans Werner Borchers Bob Flagg wrote: > > Dear all, > > I'm using adaBoost from the ada package to build a classification > model. After training the model in R I'd like to use it in a > Python application. Is it possible to export the model in some > way to make translating into python easier? > > Any help would be greatly appreciated. Thanks. > Bob > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/exporting-adaBoost-model-tp19005415p19026563.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.
