expand.boost: Expand boosting series

In egenn/rtemis: Machine Learning and Visualization

Expand boosting series

Description

Expand a boost object by adding more iterations

Usage

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

Arguments

object	boost object
x	Numeric vector or matrix / data frame of features i.e. independent variables
y	Numeric vector of outcome, i.e. dependent variable
x.valid	Data.frame; optional: Validation data
y.valid	Float, vector; optional: Validation outcome
x.test	Numeric vector or matrix / data frame of testing set features Columns must correspond to columns in x
y.test	Numeric vector of testing set outcome
mod	Character: Algorithm to train base learners, for options, see select_learn. Default = "cart"
resid	Float, vector, length = length(y): Residuals to work on. Do not change unless you know what you're doing. Default = NULL, for regular boosting
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
case.p	Float (0, 1]: Train each iteration using this perceent of cases. Default = 1, i.e. use all cases
prefix	Internal
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. "none" for no plot.
print.plot	Logical: if TRUE, produce plot using mplot3 Takes precedence over plot.fitted and plot.predicted.

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on Nov. 22, 2024, 4:12 a.m.