Setup Bootstrap Resampler

Usage

setup_Bootstrap(n_resamples = 10L, id_strat = NULL, seed = NULL)

n_resamples: Integer [1, Inf): Number of resamples to make.
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.

BootstrapConfig object.

EDG

bootstrap_resampler <- setup_Bootstrap(n_resamples = 10L, seed = 2026L)
bootstrap_resampler

#> <BootstrapConfig>
#> n_resamples: 10
#>    id_strat: NULL
#>        seed: 2026