recalibratePlp: recalibratePlp

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

recalibratePlp

Description

Train various models using a default parameter gird search or user specified parameters

Usage

recalibratePlp(
  prediction,
  analysisId,
  typeColumn = "evaluationType",
  method = c("recalibrationInTheLarge", "weakRecalibration")
)

Arguments

prediction	A prediction dataframe
analysisId	The model analysisId
typeColumn	The column name where the strata types are specified
method	Method used to recalibrate ('recalibrationInTheLarge' or 'weakRecalibration' )

Details

The user can define the machine learning model to train (regularised logistic regression, random forest, gradient boosting machine, neural network and )

Value

An object of class runPlp that is recalibrated on the new data

OHDSI/PatientLevelPrediction documentation built on May 3, 2024, 12:11 a.m.