Whether groups can be kept together in partitions during cross-validation
keep_groups_in_cv_partitions(groups, group_partitions, kfold)TRUE if possible, FALSE otherwise
Vector of groups to keep together when splitting the data into
train and test sets. If the number of groups in the training set is larger
than kfold, the groups will also be kept together for cross-validation.
Length matches the number of rows in the dataset (default: NULL).
Specify how to assign groups to the training and
testing partitions (default: NULL). If groups specifies that some
samples belong to group "A" and some belong to group "B", then setting
group_partitions = list(train = c("A", "B"), test = c("B")) will result
in all samples from group "A" being placed in the training set, some
samples from "B" also in the training set, and the remaining samples from
"B" in the testing set. The partition sizes will be as close to
training_frac as possible. If the number of groups in the training set is
larger than kfold, the groups will also be kept together for
cross-validation.
Fold number for k-fold cross-validation (default: 5).
Kelly Sovacool, sovacool@umich.edu