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,
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