Leave-region-out, on a grouping that already exists (biome, catchment, ...).

Usage

region_cv(group, k = NULL, test_frac = 0.15, seed = 42L, calibration_frac = 0)

Arguments

group: Group labels, one per row of meta.
k: Number of folds; defaults to one per group.
test_frac: Share held out as the test set, drawn first.
seed: Seed for this split only; the training seeds do not move it.
calibration_frac: Share of ALL the points held out as a calibration set for the intervals, carved after the test set by the same criterion; 0 for none. It trains nothing and chooses nothing: dsm_final() predicts it and calibrates its "split" interval there.

Value

A resample_spec, as spatial_cv() returns.

Examples

ex <- example_landscape()
region_cv(group = ex$profiles$survey)
#> <resample_spec> region
#>   group           <160 values>
#>   k               NULL
#>   test_frac       0.15
#>   seed            42
#>   calibration_frac 0