dummy_multi_choice.md
In recipes: Preprocessing and Feature Engineering Steps for Modeling

dummy variables with non-factor inputs

Code
  prep(dummy)
Condition
  Error in `step_dummy_multi_choice()`:
  Caused by error in `prep()`:
  ! All columns selected for the step should be nominal, or logical.

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_dummy_multi_choice()`:
  Caused by error in `bake()`:
  ! Name collision occured. The following variable names already exists:
  i  Species_setosa

empty printing

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Operations 
  * Multi-choice dummy variables from: <none>

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Training information 
  Training data contained 32 data points and no incomplete rows.

  -- Operations 
  * Multi-choice dummy variables from: <none> | Trained

keep_original_cols - can prep recipes with it missing

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

printing

Code
  print(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 4

  -- Operations 
  * Multi-choice dummy variables from: all_predictors()

Code
  prep(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 4

  -- Training information 
  Training data contained 4 data points and 4 incomplete rows.

  -- Operations 
  * Multi-choice dummy variables from: lang_1, lang_2, lang_3, lang_4 | Trained