Hans, I was not aware of the Orange library. Since import via PMML is not possible I guess I could simply build the model in Python using this library. I'll give this a shot and compare it with the approach via Rpy.
Thanks for the help! Bob On Sun, 2008-08-17 at 23:31 -0700, Hans W. Borchers wrote: > 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. > > > > > ______________________________________________ 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.
