This class encapsulates training and test sets generated from the data set for a number of iterations. It mainly stores a set of integer vectors indicating the training and test examples for each iteration.
makeResampleInstance(desc, task, size, ...)
List of of training indices for all iterations.
List of of test indices for all iterations.
Optional grouping of resampling iterations. This encodes whether specific iterations 'belong together' (e.g. repeated CV), and it can later be used to aggregate performance values accordingly. Default is 'factor()'.