Control aspects of the last fit process
control_last_fit(verbose = FALSE, event_level = "first")A logical for logging results (other than warnings and errors,
which are always shown) as they are generated during training in a single
R process. When using most parallel backends, this argument typically will
not result in any logging. If using a dark IDE theme, some logging messages
might be hard to see; try setting the tidymodels.dark option with
options(tidymodels.dark = TRUE) to print lighter colors.
A single string containing either "first" or "second".
This argument is passed on to yardstick metric functions when any type
of class prediction is made, and specifies which level of the outcome
is considered the "event".
control_last_fit() is a wrapper around control_resamples() and is meant
to be used with last_fit().