Return complexity of model in terms of hyperparameters.

Description

gbt.complexity creates a list of hyperparameters from a model

Usage

gbt.complexity(model, type)

Arguments

Details

Returns the complexity of model in terms of hyperparameters associated to model type.

Value

list with type hyperparameters.

Examples

set.seed(123)
library(agtboost)
n <- 10000
xtr <- as.matrix(runif(n, 0, 4))
ytr <- rnorm(n, xtr, 1)
xte <- as.matrix(runif(n, 0, 4))
yte <- rnorm(n, xte, 1)
model <- gbt.train(ytr, xtr, learning_rate = 0.1)
gbt.complexity(model, type="xgboost")
gbt.complexity(model, type="lightgbm")
## See demo(topic="gbt-complexity", package="agtboost")