On Fri, Apr 9, 2010 at 2:15 PM, Liaw, Andy <andy_l...@merck.com> wrote:
> From: Larry D'Agostino
> >
> > So I've been working with Random Forests ( R library is
> > randomForest) and I
> > curious if Random Forests could be applied to classifying on
> > a real time
> > basis. For instance lets say I've scored fraud from a group of
> > transactions. If I want to score any new incoming
> > transactions for fraud
> > could Random Forests be used in that context. Linear
> > Regression is nice in
> > that it is very easy to score.
> >
> > I suppose R could be used as a real time API to load in data,
> > score, then
> > output results. Is there any other way with Random Forests?
>
> Yes, but not without more work. You can write the forest out to a file
> (with simple R code), and then write a stand-alone C code to read that
> model file and score the new data. The C function that scores new data
> from the model can be found in the source code of the package. Your C
> code just need to wrap around that.
>
> Andy
> Notice: This e-mail message, together with any attach...{{dropped:18}}
______________________________________________
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.
