rtemis (version 0.79)

expand.addtboost: Expand boosting series

Description

Add iterations to a boost object

Usage

expand.addtboost(object, x, y = NULL, x.valid = NULL, y.valid = NULL,
  resid = NULL, mod.params = NULL, max.iter = 10,
  learning.rate = NULL, case.p = 1, cxrcoef = FALSE, prefix = NULL,
  verbose = TRUE, trace = 0, print.error.plot = "final")

Arguments

object

boost object

x

Data frame: Input features

y

Vector: Output

mod.params

Named list of arguments for mod

max.iter

Integer: Maximum number of iterations (additive steps) to perform. Default = 10

learning.rate

Float (0, 1] Learning rate for the additive steps

cxrcoef

Logical: If TRUE, pass cxr = TRUE, cxrcoef = TRUE to predict.addTreeRaw

verbose

Logical: If TRUE, print summary to screen.

trace

Integer: If > 0, print diagnostic info to console

print.error.plot

String or Integer: "final" plots a training and validation (if available) error curve at the end of training. If integer, plot training and validation error curve every this many iterations during training for each base learner