Setup KFold Resampler

Usage

setup_KFold(
  n_resamples = 10L,
  stratify_var = NULL,
  strat_n_bins = 4L,
  id_strat = NULL,
  seed = NULL
)

n_resamples: Integer [1, Inf): Number of resamples to make.
stratify_var: Optional Character: Variable to stratify by.
strat_n_bins: Integer [1, Inf): Number of bins to stratify by.
id_strat: Optional Character: Name of the column holding per-case grouping IDs, e.g. subject IDs when the dataset contains repeated measurements. Cases sharing an ID stay in the same resample, so a case can only be present in the training or the test set, not both. Requires that resample() be given the data frame the column lives in. train takes the column as a case identifier, so it groups the resamples by it and excludes it from the features.
seed: Optional Integer [0, Inf): Random seed.

KFoldConfig object.

EDG

tenfold_resampler <- setup_KFold(n_resamples = 10L, seed = 2026L)
tenfold_resampler

#> <KFoldConfig>
#>  n_resamples: 10
#> stratify_var: NULL
#> strat_n_bins: 4
#>     id_strat: NULL
#>         seed: 2026