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Create Hyperparameter Settings

Source: R/HyperparameterSettings.R
createHyperparameterSettings.Rd

Create Hyperparameter Settings

Usage

createHyperparameterSettings(
  search = "grid",
  tuningMetric = aucMetric,
  sampleSize = NULL,
  randomSeed = NULL,
  generator = NULL
)

Arguments

The type of hyperparameter search to perform. Options are "grid" for grid search, "random" for random search, and "custom" for a user-defined search strategy.

tuningMetric

The metric to optimize during hyperparameter tuning. Common choices include aucMetric and auprcMetric.

sampleSize

Sample size in case of random sampling

randomSeed

Random seed for random sampling

generator

Optional custom hyperparameter generator. This can be either a function with arguments definition, expanded, and settings that returns a finite list of named parameter lists, or an object with lifecycle methods. Lifecycle generator objects must provide initialize(definition, settings) and getNext(history) methods, and may provide an optional finalize(history) method.