probability predictions when using tailor

[topepo]

type = "prob" returns class predictions.

library(tidymodels)
library(tailor)

set.seed(816)
sim_data <- sim_classification(2000) %>%
  bind_cols(sim_noise(2000, 500))
sim_split <- initial_split(sim_data)
sim_tr <- training(sim_split)
sim_te <- testing(sim_split)

rf_spec <- rand_forest() %>% set_mode("classification")
rf_wflow <- workflow(class ~ ., rf_spec)

cal_post <-
  tailor() %>%
  adjust_probability_calibration(method = "beta")

rf_cal_wflow <-
  rf_wflow %>%
  add_tailor(cal_post, prop = .1)

set.seed(456)
rf_cal_fit <- fit(rf_cal_wflow, sim_tr)

# augment() not ready yet
predict(rf_cal_fit, sim_te)
#> # A tibble: 500 × 1
#>    .pred_class
#>    <fct>      
#>  1 class_2    
#>  2 class_2    
#>  3 class_2    
#>  4 class_1    
#>  5 class_1    
#>  6 class_2    
#>  7 class_1    
#>  8 class_1    
#>  9 class_2    
#> 10 class_2    
#> # ℹ 490 more rows
predict(rf_cal_fit, sim_te, type = "prob")
#> # A tibble: 500 × 1
#>    .pred_class
#>    <fct>      
#>  1 class_2    
#>  2 class_2    
#>  3 class_2    
#>  4 class_1    
#>  5 class_1    
#>  6 class_2    
#>  7 class_1    
#>  8 class_1    
#>  9 class_2    
#> 10 class_2    
#> # ℹ 490 more rows

^{Created on 2024-09-20 with reprex v2.1.0}

[topepo]

It does appear to work when used inside of fit_resamples() though