backend_options missing about finetune HOT 3 CLOSED

library(finetune)
library(parsnip)
library(rsample)
library(dials)
library(discrim)

packageVersion("parsnip")
#> [1] '1.0.2'
packageVersion("tune")
#> [1] '1.0.1'
packageVersion("finetune")
#> [1] '1.0.1'

data(two_class_dat, package = "modeldata")

set.seed(6376)
rs <- bootstraps(two_class_dat, times = 10)

# optimize an regularized discriminant analysis model
rda_spec <-
  discrim_regularized(frac_common_cov = tune(), frac_identity = tune()) %>%
  set_engine("klaR")

ctrl <- control_race(verbose_elim = TRUE)
set.seed(11)
grid_anova <-
  rda_spec %>%
  tune_race_anova(Class ~ ., resamples = rs, grid = 10, control = ctrl)
#> ℹ Racing will maximize the roc_auc metric.
#> ℹ Resamples are analyzed in a random order.
#> ℹ Bootstrap05: All but one parameter combination were eliminated.

# Shows only the fully resampled parameters
show_best(grid_anova, metric = "roc_auc", n = 2)
#> # A tibble: 1 × 8
#>   frac_common_cov frac_identity .metric .estimator  mean     n std_err .config  
#>             <dbl>         <dbl> <chr>   <chr>      <dbl> <int>   <dbl> <chr>    
#> 1          0.0691        0.0437 roc_auc binary     0.886    10 0.00513 Preproce…

plot_race(grid_anova)