Train various models using a default parameter gird search or user specified parameters
recalibratePlp(
prediction,
analysisId,
typeColumn = "evaluationType",
method = c("recalibrationInTheLarge", "weakRecalibration")
)
An object of class runPlp
that is recalibrated on the new data
The user can define the machine learning model to train (regularised logistic regression, random forest, gradient boosting machine, neural network and )