Explicit, audited reveal: prints each original -> synthetic level map
held by the recipe. Use sparingly. Recipe maps are at least as
sensitive as the original data; printing them defeats the redaction
built into print() and summary().
Examples
r <- propose_roles(iris)
r$role[r$col == "Sepal.Length"] <- "outcome"
r$role[r$col == "Species"] <- "covariate"
m <- suppressWarnings(mask(iris, r, mode = "collaborate", seed = 1))
rec <- recipe(m)
reveal_maps(rec)
#> ! Revealing sensitive level maps. Proceed at your discretion.
#>
#>
#> ── Species
#> setosa -> Species_L001
#> versicolor -> Species_L002
#> virginica -> Species_L003
#>
#> ── seed
#> 1