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 |
cv.folds |
The number of cross-validation folds. |
group |
The group, if using |
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.
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