Train various models using a default parameter gird search or user specified parameters
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' )
Value
An object of class runPlp that is recalibrated on the new data
Details
The user can define the machine learning model to train (regularised logistic regression, random forest, gradient boosting machine, neural network and )