Unexported function from cvAUC package

.process_input(
  predictions,
  labels,
  label.ordering = NULL,
  folds = NULL,
  ids = NULL,
  confidence = NULL
)

Arguments

predictions	A vector, matrix, list, or data frame containing the predictions.
labels	A vector, matrix, list, or data frame containing the true class labels. Must have the same dimensions as `predictions`.
label.ordering	The default ordering of the classes can be changed by supplying a vector containing the negative and the positive class label (negative label first, positive label second).
folds	If specified, this must be a vector of fold ids equal in length to `predictions` and `labels`, or a list of length V (for V-fold cross-validation) of vectors of indexes for the observations contained in each fold. The `folds` argument must only be specified if the `predictions` and `labels` arguments are vectors.
ids	Vector of ids
confidence	confidence interval level