cv: Resampling specification generator.

In funcml: Functional Machine Learning Framework

Resampling specification generator.

Description

Resampling specification generator.

Usage

cv(
  v = 5,
  repeats = 1,
  strata = TRUE,
  seed = NULL,
  method = c("vfold", "holdout", "group_vfold", "time"),
  prop = 0.8,
  group = NULL,
  time = NULL,
  initial = NULL,
  assess = NULL,
  skip = 0,
  cumulative = TRUE
)

Arguments

v	Number of folds for cross-validation.
repeats	Number of repeats for standard or grouped cross-validation.
strata	Logical; stratify classification outcomes when supported.
seed	Optional seed for reproducibility.
method	Resampling strategy: "vfold", "holdout", "group_vfold", or "time".
prop	Training-set proportion for holdout splits.
group	Optional grouping variable name or vector for grouped CV.
time	Optional ordering variable name or vector for time-aware splits.
initial	Initial training window size for time-aware CV.
assess	Assessment window size for time-aware CV.
skip	Number of observations to skip between successive time splits.
cumulative	Logical; use an expanding training window for time-aware CV.

Value

A funcml_cv object containing fold indices and parameters.

Examples

cv(v = 3, repeats = 2, seed = 1)

funcml documentation built on Aug. 22, 2026, 5:08 p.m.