createHyperparameterSettings: Create Hyperparameter Settings

In PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

Create Hyperparameter Settings

Description

Create Hyperparameter Settings

Usage

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

Arguments

search	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	An object with initialize, getNext and finalize methods for custom flexible hyperparameter tuning.

PatientLevelPrediction documentation built on March 9, 2026, 5:07 p.m.