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