setup_StratBoot: Setup StratBoot Resampler

In rtemis: Schema-Driven Machine Learning and Visualization

Setup StratBoot Resampler

Description

Setup StratBoot Resampler

Usage

setup_StratBoot(
  n_resamples = 10L,
  stratify_var = NULL,
  train_p = 0.75,
  strat_n_bins = 4L,
  target_length = NULL,
  id_strat = NULL,
  seed = NULL
)

Arguments

n_resamples	Integer [1, Inf): Number of resamples to make.
stratify_var	Optional Character: Variable to stratify by.
train_p	Numeric (0, 1): Training set percentage.
strat_n_bins	Integer [1, Inf): Number of bins to stratify by.
target_length	Optional Integer [1, Inf): Target length for stratified bootstraps.
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.

Value

StratBootConfig object.

Author(s)

EDG

Examples

strat_boot_resampler <- setup_StratBoot(n_resamples = 10L, seed = 2026L)
strat_boot_resampler

rtemis documentation built on Oct. 20, 2026, 1:06 a.m.