Helper functions for preprocessing data prior to building the model
guessDist(y)
getCVgroup(distribution, class.stratify.cv, y, i.train, cv.folds, group)
getStratify(strat, d)
checkMissing(x, y)
checkWeights(w, n)
checkID(id)
checkOffset(o, y)
getVarNames(x)
gbmCluster(n)The response variable
The distribution, either specified by the user or implied
Whether or not to stratify, if provided by the user
Computed internally by gbm
The group, if using distibution='pairwise'
Whether or not to stratify
The number of cross-validation folds
The design matrix
The interaction depth
The weights
The number of cores to use in the cluster.
The offset
These are functions used internally by gbm and not intended for
direct use by the user.