setup_Resampler() is deprecated. Use setup_KFold(), setup_StratSub(),
setup_StratBoot(), setup_Bootstrap(), setup_LOOCV(), or setup_Custom().
Only arguments relevant to the selected type are forwarded. Omitted arguments
retain the selected setup function's default resolution.
setup_Resampler(
n_resamples = 10L,
type = c("KFold", "StratSub", "StratBoot", "Bootstrap", "LOOCV", "Custom"),
stratify_var = NULL,
train_p = 0.75,
strat_n_bins = 4L,
target_length = NULL,
id_strat = NULL,
seed = NULL,
verbosity = 1L,
resamples = NULL
)A resampler configuration of the selected type.
Integer [1, Inf): Number of resamples to make.
Character: Resampling method; matched without regard to case.
Optional Character: Variable to stratify by.
Numeric (0, 1): Training set percentage.
Integer [1, Inf): Number of bins to stratify by.
Optional Integer [1, Inf): Target length for stratified bootstraps.
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.
Optional Integer [0, Inf): Random seed.
Integer: Console verbosity. The deprecation warning is always
signaled and can be handled with suppressWarnings().
Optional List: Resamples to use, one integer vector of training-case indices per resample.
id_strat names a column in the input data; per-case ID vectors are not
accepted. Arguments that do not apply to the selected type are ignored.
config <- suppressWarnings(setup_Resampler(5L, "KFold", seed = 2026L))
config
Run the code above in your browser using DataLab