SuperLearner.CV.control | R Documentation |
SuperLearner
Control parameters for the cross validation steps in SuperLearner
SuperLearner.CV.control(V = 10L, stratifyCV = FALSE, shuffle = TRUE,
validRows = NULL)
V |
Integer. Number of splits for the V-fold cross-validation step. The default is 10. In most cases, between 10 and 20 splits works well. |
stratifyCV |
Logical. Should the data splits be stratified by a binary response? Attempts to maintain the same ratio in each training and validation sample. |
shuffle |
Logical. Should the rows of |
validRows |
A List. Use this to pass pre-specified rows for the sample splits. The length of the list should be |
A list containing the control parameters
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