setup_Resampler: Setup Resampler

In egenn/rtemis: Machine Learning and Visualization

Setup Resampler

Description

Setup Resampler

Usage

setup_Resampler(
  n_resamples = 10L,
  type = c("KFold", "StratSub", "StratBoot", "Bootstrap", "LOOCV"),
  stratify_var = NULL,
  train_p = 0.75,
  strat_n_bins = 4L,
  target_length = NULL,
  id_strat = NULL,
  seed = NULL,
  verbosity = 1L
)

Arguments

n_resamples	Integer: Number of resamples to make.
type	Character: Type of resampler: "KFold", "StratSub", "StratBoot", "Bootstrap", "LOOCV"
stratify_var	Character: Variable to stratify by.
train_p	Float: Training set percentage.
strat_n_bins	Integer: Number of bins to stratify by.
target_length	Integer: Target length for stratified bootstraps.
id_strat	Integer: Vector of indices to stratify by. These may be, for example, case IDs if your dataset contains repeated measurements. By specifying this vector, you can ensure that each case can only be present in the training or test set, but not both.
seed	Integer: Random seed.
verbosity	Integer: Verbosity level.

Value

ResamplerParameters object.

Author(s)

EDG

egenn/rtemis documentation built on June 14, 2025, 11:54 p.m.