setup.LIHAD: Set s_LIHAD parameters

View source: R/setup.R

setup.LIHADR Documentation

Set s_LIHAD parameters

Description

Set s_LIHAD parameters

Usage

setup.LIHAD(
  max.depth = 2,
  learning.rate = 1,
  lincoef.params = setup.lincoef("glmnet"),
  alpha = 0,
  lambda = 0.1,
  minobsinnode = 2,
  minobsinnode.lin = 20,
  ...
)

Arguments

max.depth

[gS] Integer: Max depth of additive tree. Default = 3

learning.rate

[gS] Float (0, 1): Learning rate.

lincoef.params

Named List: Output of setup.lincoef

alpha

[gS] Float: lincoef alpha Overrides lincoef.params alpha

lambda

[gS] Float: lincoef lambda. Overrides lincoef.params lambda

minobsinnode

[gS] Integer: Minimum N observations needed in node, before considering splitting

minobsinnode.lin

Integer: Minimum N observations needed in node in order to train linear model.

...

Additional arguments


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