[R] CARET: Any way to access other tuning parameters?

David Winsemius dwinsemius at comcast.net
Wed Feb 13 18:50:53 CET 2013

On Feb 13, 2013, at 6:58 AM, James Jong wrote:

> The documentation for caret::train shows a list of parameters that one can
> tune for each method classification/regression method. For example, for
> the method randomForest one can tune mtry in the call to train. But the
> function call to train random forests in the original package has many
> other parameters, e.g. sampsize, maxnodes, etc.
> Is there **any** way to access these parameters using train in caret? (Is
> the function caret::createGrid limited to the list of parameters specified
> in the caret documentation, it's not super clear if the list of parameter
> is for all the caret APIs).

Have you looked at the argument list in ?train:

arguments passed to the classification or regression routine (such as randomForest). Errors will occur if values for tuning parameters are passed here.

Also look at:

? trainControl
? preProccess
David Winsemius
Alameda, CA, USA

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