[R] Saving a Random Forest Model

[Rui Barradas]

Hello,

?save can save any R object. To load it back into R, use ?load.

Hope this helps,

Rui Barradas

Em 23-03-2013 10:35, Lorenzo Isella escreveu:
> Dear All,
> Please consider the snippet at the end of the email
> The output of the randomForest model is rf1 (i.e. the trained model).
> Now, is there a way to save this rf1 so that, in a different R session,
> I can just load it without repeating the analysis?
> Of course I have in mind much more CPU-intensive simulations than in
> this artificial example (where it would be really unpractical to
> recalculate everything and the model has to be applied to different data
> sets at different time or needs to be combined with other models).
> Any suggestion is welcome.
> Cheers
>
> Lorenzo
>
>
>
> ######################################
> # simulate the data
> x1=rnorm(1000)
> x2=rnorm(1000,x1,1)
> y=2*x1+rnorm(1000,0,.5)
> df=data.frame(y,x1,x2,x3=rnorm(1000),x4=rnorm(1000),x5=rnorm(1000))
> # run the randomForest implementation
> library(randomForest)
> rf1 <- randomForest(y~., data=df, mtry=2, ntree=50, importance=TRUE)
> ####################################
>
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