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Setup GLM Hyperparameters

Source: R/01_S7_Hyperparameters.R
setup_GLM.Rd

Setup hyperparameters for GLM training.

Usage

setup_GLM(ifw = FALSE)

Arguments

ifw

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

Value

GLMHyperparameters object.

Author

EDG

Examples

glm_hyperparams <- setup_GLM(ifw = TRUE)
glm_hyperparams
#> <GLMHyperparameters>
#>         hyperparameters: 
#>                          ifw: <lgc> TRUE
#> tunable_hyperparameters: <chr> ifw
#>   fixed_hyperparameters: <chr> 
#>                   tuned: <int> -1
#>               resampled: <int> 0
#>               n_workers: <int> 1
#> 
#>   No search values defined for tunable hyperparameters.