| gbm-internal {gbm} | R Documentation |
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)
y |
The response variable |
d, distribution |
The distribution, either specified by the user or implied |
class.stratify.cv |
Whether or not to stratify, if provided by the user |
i.train |
Computed internally by |
group |
The group, if using |
strat |
Whether or not to stratify |
cv.folds |
The number of cross-validation folds |
x |
The design matrix |
id |
The interaction depth |
w |
The weights |
n |
The number of cores to use in the cluster. |
o |
The offset |
These are functions used internally by gbm and not intended for
direct use by the user.