[R] Question on implementing Random Forests scoring

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You may also wish to check out the PMML approach. Check out the PMML package. 

eRic


----- Original message -----
From: "Liaw, Andy" <andy_liaw at merck.com>
To: "Larry D'Agostino" <ieortools at gmail.com>, "r-help" <r-help at r-project.org>
Date: Fri, 9 Apr 2010 15:15:11 -0400
Subject: Re: [R] Question on implementing Random Forests scoring

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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