Message-ID: <92C5CADA-D59C-4BF7-9CC3-C27FFDACE800@comcast.net>
Date: 2013-02-13T17:50:53Z
From: David Winsemius
Subject: CARET: Any way to access other tuning parameters?
In-Reply-To: <CAD4ivxWMyDAru-OBKytSgbR4Y6RFmUFT-8XXDAXNPPZyqyC8ig@mail.gmail.com>
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