createRandomForestFeatureSelection: Create the settings for random foreat based feature selection

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

Create the settings for random foreat based feature selection

Description

Create the settings for random foreat based feature selection

Usage

createRandomForestFeatureSelection(ntrees = 2000, maxDepth = 17)

Arguments

ntrees	number of tree in forest
maxDepth	MAx depth of each tree

Details

Returns an object of class featureEngineeringSettings that specifies the sampling function that will be called and the settings

Value

An object of class featureEngineeringSettings

Examples

## Not run:  #' featureSelector <- createRandomForestFeatureSelection(ntrees = 2000, maxDepth = 10)

OHDSI/PatientLevelPrediction documentation built on Feb. 14, 2025, 9:44 a.m.