lazy.pred: Wrapper on lazy learning algoritmhs for regression and...
In gbonte/gbcode: Code from the handbook "Statistical foundations of machine learning"

lazy.pred

R Documentation

Wrapper on lazy learning algoritmhs for regression and classification

Description

Wrapper on lazy learning algoritmhs

Usage

lazy.pred(
  X,
  Y,
  X.ts,
  class = FALSE,
  return.more = FALSE,
  conPar = c(3, 5),
  linPar = NULL,
  cmbPar = 5,
  lambda = 1000,
  scaleX = TRUE
)

Arguments

`X:`	training input
`Y:`	training output
`X.ts:`	test input
`conPar:`	constant modeling parameters
`linPar:`	linear modeling parameters
`cmbPar:`	combination parameters
`classi:`	TRUE for classification, FALSE for regression
`return.more:`	TRUE for returning additional lazy parameter