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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