SuperLearner.control: Control parameters for the SuperLearner
Description
Control parameters for the SuperLearner
Usage
SuperLearner.control(saveFitLibrary = TRUE, trimLogit = 0.001)
Arguments
saveFitLibrary
Logical. Should the fit for each algorithm be saved in the output from SuperLearner.
trimLogit
number between 0.0 and 0.5. What level to truncate the logit transformation to maintain a bounded loss function when using the NNloglik method.
Value
A list containing the control parameters.