How the folds are drawn

The resampling timesift() scores on. cv() deals units into folds balanced on the stratifying value; grouped_cv() deals whole groups, keeping every target sharing a group value on one side of each split.

Usage

cv(v = 10L, seed = 1L, strata = 5L)

grouped_cv(group, v = 10L, seed = 1L)

Arguments

v

Number of folds.

seed

Random seed, fixed so the map is reproducible.

strata

Number of strata, or 1 for no stratification.

group

The grouping: the name of a column of targets, or a vector with one value per target.

Value

A timesift_resampling.

Details

resampling also accepts a fold vector or a fold_map() result directly, which is how a split the package has no constructor for – a spatial block, a season held out whole – reaches the same fitting path.

Examples

cv(v = 5L)
grouped_cv("site")