SuperLearner.control {SuperLearner} | R Documentation |
Control parameters for the SuperLearner
Description
Control parameters for the SuperLearner
Usage
SuperLearner.control(saveFitLibrary = TRUE, saveCVFitLibrary = FALSE, trimLogit = 0.001)
Arguments
saveFitLibrary |
Logical. Should the fit for each algorithm be saved in the output from |
saveCVFitLibrary |
Logical. Should cross-validated fits for each algorithm be saved in the output from |
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.
[Package SuperLearner version 2.0-29 Index]