Guidelines on using custom metrics with tune parallel_over?

[MatthieuStigler]

It would be great if clearer warnings and guidelines could be offered on how to use custom metrics from yardstick with tune parallel_over option? Personally, it took quite a while to figure out that the error message:

! no applicable method for 'mse' applied to an object of class "c('grouped_df', 'tbl_df', 'tbl', 'data.fram..

despite the script itself containing a mse <- function(data, ...) { UseMethod("mse")} call?

What I am suggesting is:

• yardstick documentation at https://www.tidymodels.org/learn/develop/metrics/: mention the problem?
• tune: emit a warning if parallel is used with custom metrics?
• in general: provide guidelines on how to handle the problem? The solution in Custom metrics don't seem to work with parallel processing tune#479 to write a specific package just for the function seems quite heavy?

Thanks!

[MatthieuStigler]

following-up on this, are there any guidelines on how to handle custom metrics with parallel processing?

#479 mentions writing a separate package just for the function, while #937 mentions a "non-working draft", so I was wondering what are the official guidelines on this?

thanks!