manual_rset() is used for constructing the most minimal rset possible. It can be useful when you have custom rsplit objects built from make_splits(), or when you want to create a new rset from splits contained within an existing rset.

manual_rset(splits, ids)

Arguments

splits

A list of "rsplit" objects. It is easiest to create these using make_splits().

ids

A character vector of ids. The length of ids must be the same as the length of splits.

Examples

df <- data.frame(x = c(1, 2, 3, 4, 5, 6)) # Create an rset from custom indices indices <- list( list(analysis = c(1L, 2L), assessment = 3L), list(analysis = c(4L, 5L), assessment = 6L) ) splits <- lapply(indices, make_splits, data = df) manual_rset(splits, c("Split 1", "Split 2"))
#> # Manual resampling #> # A tibble: 2 x 2 #> splits id #> <list> <chr> #> 1 <split [2/1]> Split 1 #> 2 <split [2/1]> Split 2
# You can also use this to create an rset from a subset of an # existing rset resamples <- vfold_cv(mtcars) best_split <- resamples[5,] manual_rset(best_split$splits, best_split$id)
#> # Manual resampling #> # A tibble: 1 x 2 #> splits id #> <list> <chr> #> 1 <split [29/3]> Fold05