relative.influence(object, n.trees, scale., sort.)
permutation.test.gbm(object, n.trees)
gbm.loss(y,f,w,offset,dist,baseline, group, max.rank)
gbm
object created from an initial call to gbm
.FALSE
.FALSE
.gbm.loss
: These components are the
outcome, predicted value, observation weight, offset, distribution, and comparison
loss function, respectively.distribution = \'pairwise\'
.scale.
and sort.
arguments are used, returns a processed
version of the same.
summary.gbm
.
gbm.loss
is a helper function for permutation.test.gbm
.
L. Breiman (2001). Random Forests.
summary.gbm