Hi there, I am interested in using R for machine learning (supervised classification). Currently, I have been investigating especially the rpart, tree, and randomForest package, and have achieved first results.
are there any experiences, how the learned classificators could be used in e.g. C ? in other words, I want to "transfer" the learned predictor from R to C-code. for e.g. rpart, this could of course be done by hand, but, if the tree is sufficiently complex, this is very cumbersome. and for randomForest (which seems to work better for me), this would be even more complex. maybe one way would be to call R from C, but I expect the overhead would be quite high - I need to perform thousands of queries so maybe there is a convenient way to export the classificators to C? thanks a lot, best regards lars -- ______________________________________________ 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.
