gbm-internals: gbm internal functions

In gbm: Generalized Boosted Regression Models

gbm internal functions

Description

Helper functions for preprocessing data prior to building a "gbm" object.

Usage

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)

Arguments

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.

Details

These are functions used internally by gbm and not intended for direct use by the user.

gbm documentation built on June 28, 2024, 9:07 a.m.