createPreprocessSettings: Create the settings for preprocessing the trainData using '...

In quinterpriest/PatientLevelPrediction: Developing patient level prediction using data in the OMOP Common Data Model

Create the settings for preprocessing the trainData using .

Description

Create the settings for preprocessing the trainData using .

Usage

createPreprocessSettings(
  minFraction = 0.001,
  normalize = TRUE,
  removeRedundancy = TRUE
)

Arguments

minFraction	The minimum fraction of target population who must have a covariate for it to be included in the model training
normalize	Whether to normalise the covariates before training (Default: TRUE)
removeRedundancy	Whether to remove redundant features (Default: TRUE)

Details

Returns an object of class preprocessingSettings that specifies how to preprocess the training data

Value

An object of class preprocessingSettings

quinterpriest/PatientLevelPrediction documentation built on April 20, 2022, 12:50 a.m.