SuperLearner: SuperLearner.control – R documentation

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SuperLearner.control

Control parameters for the SuperLearner

Control parameters for the SuperLearner

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

`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.

A list containing the control parameters.

Super Learner Prediction

v2.0-28

GPL-3

Authors

Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]

Initial release

2021-05-04