# check_name() is used

    Code
      prep(rec, training = dat)
    Condition
      Error in `step_classdist()`:
      Caused by error in `bake()`:
      ! Name collision occurred. The following variable names already exist:
      * `classdist_setosa`

# case weights

    Code
      rec_prep
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      outcome:      1
      predictor:    4
      case_weights: 1
      
      -- Training information 
      Training data contained 150 data points and no incomplete rows.
      
      -- Operations 
      * Distances to Species for: Sepal.Length, ... | Trained, weighted

# empty printing

    Code
      rec
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      outcome:   1
      predictor: 4
      
      -- Operations 
      * Distances to Species for: <none>

---

    Code
      rec
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      outcome:   1
      predictor: 4
      
      -- Training information 
      Training data contained 150 data points and no incomplete rows.
      
      -- Operations 
      * Distances to Species for: <none> | Trained

# keep_original_cols - can prep recipes with it missing

    Code
      rec <- prep(rec)
    Condition
      Warning:
      `keep_original_cols` was added to `step_classdist()` after this recipe was created.
      i Regenerate your recipe to avoid this warning.

# printing

    Code
      print(rec)
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      outcome:   1
      predictor: 4
      
      -- Operations 
      * Distances to Species for: all_predictors()

---

    Code
      prep(rec)
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      outcome:   1
      predictor: 4
      
      -- Training information 
      Training data contained 150 data points and no incomplete rows.
      
      -- Operations 
      * Distances to Species for: Sepal.Length and Sepal.Width, ... | Trained

