support tuning postprocessors in workflows

[simonpcouch]

Related to tidymodels/tailor#51.

[topepo]

I think that there might be some merging issues with the results of tune_args()?

library(tidymodels)
library(tailor)

ad_rec <- 
  recipe(Class ~ ., data = ad_data) %>% 
  step_dummy(all_factor_predictors()) %>% 
  step_zv(all_predictors()) %>% 
  step_normalize(all_numeric_predictors()) %>% 
  step_pca(all_numeric_predictors(), num_comp = tune())
  
glmn_spec <- logistic_reg(penalty = tune()) %>% set_mode("classification") %>% set_engine("glmnet")

post <- tailor() %>% adjust_probability_threshold(threshold = tune())

wflow <- workflow(ad_rec, glmn_spec, post)
tunable(wflow)
#> # A tibble: 4 × 5
#>   name      call_info        source     component    component_id
#>   <chr>     <list>           <chr>      <chr>        <chr>       
#> 1 penalty   <named list [2]> model_spec logistic_reg main        
#> 2 mixture   <named list [3]> model_spec logistic_reg main        
#> 3 num_comp  <named list [3]> recipe     step_pca     pca_Dnt4n   
#> 4 threshold <named list [2]> recipe     step_pca     pca_Dnt4n

^{Created on 2024-10-16 with reprex v2.1.1}

step_pca() also has a potential argument called threshold.

[simonpcouch]

Good thought to make sure we test that explicitly! Added in d3417d2.

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