12.11 Updating tuning parameters:

To see what we need to update/ finalize, we can call the function in the {dials} package

mtry()

## # Randomly Selected Predictors (quantitative)
## Range: [1, ?]

We can also use the {dials} package to see the tuning range

min_n()

## Minimal Node Size (quantitative)
## Range: [2, 40]

To update/finalize or adjust the hyperparameters we can use the update() function to update in-place:

parameters(rf_spec_tuned) %>% 
  update(mtry = mtry(c(1, 4)))

## Collection of 3 parameters for tuning
## 
##  identifier                  type    object
##        mtry                  mtry nparam[+]
##       min_n                 min_n nparam[+]
##         reg regularization.factor nparam[+]

We see that mtry is now a complete numeric parameter