shrink.gbm.pred: Predictions from a shrunken GBM

In DexGroves/gbm-lrd: Generalized Boosted Regression Models

Description

Makes predictions from a shrunken GBM model.

Usage

shrink.gbm.pred(object, 
                newdata, 
                n.trees, 
                lambda = rep(1, length(object$var.names)), 
                ...)

Arguments

object	a gbm.object
newdata	dataset for predictions
n.trees	the number of trees to use
lambda	a vector with length equal to the number of variables containing the shrinkage parameter for each variable
...	other parameters (ignored)

Value

A vector with length equal to the number of observations in newdata containing the predictions

Warning

This function is experimental

Author(s)

Greg Ridgeway [e-mail]

See Also

shrink.gbm, gbm

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