A modification of the SL.caret function from the SuperLearner package that
suppresses some output when method = "gbm" or "nnet". See ?SL.caret
for more information.
1 2 3  | SL.caretMod(Y, X, newX, family, obsWeights, method, tuneLength = 10,
  trControl = caret::trainControl(method = "cv", number = 5, verboseIter =
  FALSE), ...)
 | 
Y | 
 Training outcomes  | 
X | 
 Training predictors  | 
newX | 
 Test set predictors  | 
family | 
 Character indicating family argument (ignored)  | 
obsWeights | 
 Weights for the observations  | 
method | 
 Character describing what algorithm to train  | 
tuneLength | 
 The number of tuning parameter combinations  | 
trControl | 
 Passed to   | 
... | 
 Other arguments (not currently used)  | 
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