setup_Bootstrap: Setup Bootstrap Resampler

In rtemis: Schema-Driven Machine Learning and Visualization

Setup Bootstrap Resampler

Description

Setup Bootstrap Resampler

Usage

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

Arguments

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.

Value

BootstrapConfig object.

Author(s)

EDG

Examples

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

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