Use rlang type checkers

[EmilHvitfeldt]

Once #517 is merged, we can use the type checkers for the couple of places where metrics have another argument. They can all be found here:

library(yardstick)
library(tidyverse)

fns <- lsf.str("package:yardstick")
fn_args <- lapply(fns, formals)
names(fn_args) <- fns

map(fn_args, ~ tibble(arg = names(.x))) |>
  list_rbind(names_to = "fn") |>
  filter(str_detect(fn, "_vec$")) |>
  filter(!arg %in% c("truth", "estimate", "na_rm", "case_weights", "...", 
                     "estimator", "event_level"))
#> # A tibble: 14 × 2
#>    fn                      arg       
#>    <chr>                   <chr>     
#>  1 ccc_vec                 bias      
#>  2 classification_cost_vec costs     
#>  3 f_meas_vec              beta      
#>  4 huber_loss_pseudo_vec   delta     
#>  5 huber_loss_vec          delta     
#>  6 kap_vec                 weighting 
#>  7 mase_vec                m         
#>  8 mase_vec                mae_train 
#>  9 mn_log_loss_vec         sum       
#> 10 npv_vec                 prevalence
#> 11 ppv_vec                 prevalence
#> 12 roc_auc_vec             options   
#> 13 roc_aunp_vec            options   
#> 14 roc_aunu_vec            options

^{Created on 2024-10-24 with reprex v2.1.0}