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Setup GAM Hyperparameters

Source: R/01_S7_Hyperparameters.R
setup_GAM.Rd

Setup hyperparameters for GAM training.

Usage

setup_GAM(k = 5L, ifw = FALSE)

Arguments

k

(Tunable) Integer: Number of knots.

ifw

(Tunable) Logical: If TRUE, use Inverse Frequency Weighting in classification.

Value

GAMHyperparameters object.

Details

Get more information from mgcv::gam.

Author

EDG

Examples

gam_hyperparams <- setup_GAM(k = 5L, ifw = FALSE)
gam_hyperparams
#> <GAMHyperparameters>
#>         hyperparameters: 
#>                            k: <int> 5
#>                          ifw: <lgc> FALSE
#> tunable_hyperparameters: <chr> k, ifw
#>   fixed_hyperparameters: <chr> 
#>                   tuned: <int> -1
#>               resampled: <int> 0
#>               n_workers: <int> 1
#> 
#>   No search values defined for tunable hyperparameters.