setup_LightCART: Setup LightCART Hyperparameters
In egenn/rtemis: Machine Learning and Visualization

setup_LightCART

R Documentation

Setup LightCART Hyperparameters

Description

Setup hyperparameters for LightCART training.

Usage

setup_LightCART(
  num_leaves = 32L,
  max_depth = -1L,
  lambda_l1 = 0,
  lambda_l2 = 0,
  min_data_in_leaf = 20L,
  max_cat_threshold = 32L,
  min_data_per_group = 100L,
  linear_tree = FALSE,
  objective = NULL,
  ifw = FALSE
)

Arguments

`num_leaves`	(Tunable) Positive integer: Maximum number of leaves in one tree.
`max_depth`	(Tunable) Integer: Maximum depth of trees.
`lambda_l1`	(Tunable) Numeric: L1 regularization.
`lambda_l2`	(Tunable) Numeric: L2 regularization.
`min_data_in_leaf`	(Tunable) Positive integer: Minimum number of data in a leaf.
`max_cat_threshold`	(Tunable) Positive integer: Maximum number of categories for categorical features.
`min_data_per_group`	(Tunable) Positive integer: Minimum number of observations per categorical group.
`linear_tree`	(Tunable) Logical: If TRUE, use linear trees.
`objective`	Character: Objective function.
`ifw`	Logical: If TRUE, use Inverse Frequency Weighting in classification.