SuperLearner.control: Control parameters for the SuperLearner

Description Usage Arguments Value

View source: R/control.R

Description

Control parameters for the SuperLearner

Usage

1
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.


ecpolley/SuperLearner documentation built on Nov. 17, 2018, 7:24 p.m.