Feature Request: `tune_bayes()` verbose options about tune HOT 2 CLOSED

library(parsnip)
library(rsample)
library(tune)
set.seed(42)

res <- tune_bayes(
  nearest_neighbor("regression", neighbors = tune()),
  mpg ~ .,
  vfold_cv(mtcars, v = 3),
  control = control_bayes(verbose = TRUE),
  iter = 2, initial = 3
)
#> 
#> ❯  Generating a set of 3 initial parameter results
#> ✓ Initialization complete
#> 
#> 
#> ── Iteration 1 ─────────────────────────────────────────────────────────────────
#> 
#> i Current best:      rmse=3.557 (@iter 0)
#> i Gaussian process model
#> ✓ Gaussian process model
#> i Generating 12 candidates
#> i Predicted candidates
#> i neighbors=12
#> i Estimating performance
#> i Fold1: preprocessor 1/1
#> ✓ Fold1: preprocessor 1/1
#> i Fold1: preprocessor 1/1, model 1/1
#> ✓ Fold1: preprocessor 1/1, model 1/1
#> i Fold1: preprocessor 1/1, model 1/1 (extracts)
#> i Fold1: preprocessor 1/1, model 1/1 (predictions)
#> i Fold2: preprocessor 1/1
#> ✓ Fold2: preprocessor 1/1
#> i Fold2: preprocessor 1/1, model 1/1
#> ✓ Fold2: preprocessor 1/1, model 1/1
#> i Fold2: preprocessor 1/1, model 1/1 (extracts)
#> i Fold2: preprocessor 1/1, model 1/1 (predictions)
#> i Fold3: preprocessor 1/1
#> ✓ Fold3: preprocessor 1/1
#> i Fold3: preprocessor 1/1, model 1/1
#> ✓ Fold3: preprocessor 1/1, model 1/1
#> i Fold3: preprocessor 1/1, model 1/1 (extracts)
#> i Fold3: preprocessor 1/1, model 1/1 (predictions)
#> ✓ Estimating performance
#> ⓧ Newest results:    rmse=3.572 (+/-0.861)
#> 
#> ── Iteration 2 ─────────────────────────────────────────────────────────────────
#> 
#> i Current best:      rmse=3.557 (@iter 0)
#> i Gaussian process model
#> ✓ Gaussian process model
#> i Generating 11 candidates
#> i Predicted candidates
#> i neighbors=9
#> i Estimating performance
#> i Fold1: preprocessor 1/1
#> ✓ Fold1: preprocessor 1/1
#> i Fold1: preprocessor 1/1, model 1/1
#> ✓ Fold1: preprocessor 1/1, model 1/1
#> i Fold1: preprocessor 1/1, model 1/1 (extracts)
#> i Fold1: preprocessor 1/1, model 1/1 (predictions)
#> i Fold2: preprocessor 1/1
#> ✓ Fold2: preprocessor 1/1
#> i Fold2: preprocessor 1/1, model 1/1
#> ✓ Fold2: preprocessor 1/1, model 1/1
#> i Fold2: preprocessor 1/1, model 1/1 (extracts)
#> i Fold2: preprocessor 1/1, model 1/1 (predictions)
#> i Fold3: preprocessor 1/1
#> ✓ Fold3: preprocessor 1/1
#> i Fold3: preprocessor 1/1, model 1/1
#> ✓ Fold3: preprocessor 1/1, model 1/1
#> i Fold3: preprocessor 1/1, model 1/1 (extracts)
#> i Fold3: preprocessor 1/1, model 1/1 (predictions)
#> ✓ Estimating performance
#> ⓧ Newest results:    rmse=3.565 (+/-0.794)