Generates a list of folds for a variety of cross-validation schemes.
make_folds(n = NULL, fold_fun = folds_vfold, cluster_ids = NULL, strata_ids = NULL, ...)
- either an integer indicating the number of observations to cross-validate over, or an object from which to guess the number of observations; can also be computed from strata_ids or cluster_ids.
- A function indicating the cross-validation scheme to use.
- a vector of cluster ids. Clusters are treated as a unit - that is, all observations within a cluster are placed in either the training or validation set.
- a vector of strata ids. Strata are balanced: insofar as possible the distribution in the sample should be the same as the distribution in the training and validation sets.
other arguments to be passed to
A list of folds objects. Each fold consists of a list with a
training index vector, a
validation index vector, and a
fold_index (its order in the list of folds).