createUnivariateFeatureSelection: Create the settings for defining any feature selection that...

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

Create the settings for defining any feature selection that will be done

Description

Create the settings for defining any feature selection that will be done

Usage

createUnivariateFeatureSelection(k = 100)

Arguments

k	This function returns the K features most associated (univariately) to the outcome

Details

Returns an object of class featureEngineeringSettings that specifies the function that will be called and the settings. Uses the scikit-learn SelectKBest function with chi2 for univariate feature selection.

Value

An object of class featureEngineeringSettings

Examples

## Not run:  #' # create a feature selection that selects the 100 most associated features
featureSelector <- createUnivariateFeatureSelection(k = 100) 

## End(Not run)

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