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SuperLearner (version 2.0-29)

SuperLearner.control: Control parameters for the SuperLearner

Description

Control parameters for the SuperLearner

Usage

SuperLearner.control(saveFitLibrary = TRUE, saveCVFitLibrary = FALSE, trimLogit = 0.001)

Value

A list containing the control parameters.

Arguments

saveFitLibrary

Logical. Should the fit for each algorithm be saved in the output from SuperLearner.

saveCVFitLibrary

Logical. Should cross-validated fits 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.