gbm-internal: gbm internal functions

In DexGroves/gbm-lrd: Generalized Boosted Regression Models

Description

Helper functions for preprocessing data prior to building the model

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
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 gbm
group	The group, if using distribution='pairwise'
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

Details

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

DexGroves/gbm-lrd documentation built on May 6, 2019, 1:35 p.m.