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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
