Setup Isotonic Hyperparameters

Setup hyperparameters for Isotonic Regression.

Usage

setup_Isotonic(ifw = FALSE)

Arguments

ifw

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

Value

IsotonicHyperparameters object.

Details

There are not hyperparameters for this algorithm at this moment.

Author

EDG

Examples

isotonic_hyperparams <- setup_Isotonic(ifw = TRUE)
isotonic_hyperparams

#> <IsotonicHyperparameters>
#>         hyperparameters: 
#>                          ifw: <lgc> TRUE
#> tunable_hyperparameters: <int> 1
#>   fixed_hyperparameters: <int> 0
#>                   tuned: <int> -1
#>               resampled: <int> 0
#>               n_workers: <int> 1
#> 
#>   No search values defined for tunable hyperparameters.