James, You really need to read the documentation. Almost every question that you have has been addressed in the existing material. For this one, there is a section on custom models here:
http://caret.r-forge.r-project.org/training.html Max On Wed, Feb 13, 2013 at 9:58 AM, James Jong <ribonucle...@gmail.com> 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). > > Thanks, > > James, > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > -- Max [[alternative HTML version deleted]] ______________________________________________ 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.
