On Fri, Apr 9, 2010 at 2:15 PM, Liaw, Andy <andy_liaw@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
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