createNormalizer: Create the settings for normalizing the data @param type The...

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

Create the settings for normalizing the data @param type The type of normalization to use, either "minmax" or "robust"

Description

Create the settings for normalizing the data @param type The type of normalization to use, either "minmax" or "robust"

Usage

createNormalizer(type = "minmax", settings = list())

Arguments

type	The type of normalization to use, either "minmax" or "robust"
settings	A list of settings for the normalization. For robust normalization, the settings list can contain a boolean value for clip, which clips the values to be between -3 and 3 after normalization. See https://arxiv.org/abs/2407.04491

Value

An object of class featureEngineeringSettings

An object of class featureEngineeringSettings'

Examples

# create a minmax normalizer that normalizes the data between 0 and 1
normalizer <- createNormalizer(type = "minmax")
# create a robust normalizer that normalizes the data by the interquartile range
# and squeezes the values to be between -3 and 3
normalizer <- createNormalizer(type = "robust", settings = list(clip = TRUE))

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