Extending rsample with new rset subclasses
rset_reconstruct() encapsulates the logic for allowing new rset
subclasses to work properly with vctrs (through vctrs::vec_restore()) and
dplyr (through dplyr::dplyr_reconstruct()). It is intended to be a
developer tool, and is not required for normal usage of rsample.
rset_reconstruct(x, to)
x |
A data frame to restore to an rset subclass. |
to |
An rset subclass to restore to. |
rset objects are considered "reconstructable" after a vctrs/dplyr operation if:
x and to both have an identical column named "splits" (column
and row order do not matter).
x and to both have identical columns prefixed with "id" (column
and row order do not matter).
x restored to the rset subclass of to.
to <- bootstraps(mtcars, times = 25) # Imitate a vctrs/dplyr operation, # where the class might be lost along the way x <- tibble::as_tibble(to) # Say we added a new column to `x`. Here we mock a `mutate()`. x$foo <- "bar" # This is still reconstructable to `to` rset_reconstruct(x, to) # Say we lose the first row x <- x[-1,] # This is no longer reconstructable to `to`, as `x` is no longer an rset # bootstraps object with 25 bootstraps if one is lost! rset_reconstruct(x, to)
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