Apply a cross-validation scheme to split the data into training and testing sets.
Usage
crossval_samples(obj, data, y, ...)
Arguments
- obj
A cross-validation control object.
- data
A data frame containing the predictors.
- y
A vector containing the response variable.
- ...
Extra arguments passed to the specific cross-validation methods.
Value
A tibble containing training and testing sets for each fold.