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

non-nominal

Code
  prep(impute_rec, training = credit_tr, verbose = FALSE)
Condition
  Error in `step_impute_mode()`:
  Caused by error in `prep()`:
  ! The data should be character or factor to compute the mode.

can bake recipes with no ptype

Code
  imputed_te <- bake(imputed, credit_te)
Condition
  Warning:
  'ptype' was added to `step_impute_mode()` after this recipe was created.
  Regenerate your recipe to avoid this warning.

Deprecation warning

Code
  recipe(~., data = mtcars) %>% step_modeimpute()
Condition
  Error:
  ! `step_modeimpute()` was deprecated in recipes 0.1.16 and is now defunct.
  i Please use `step_impute_mode()` instead.

case weights

Code
  imputed
Message

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

  -- Inputs 
  Number of variables by role
  predictor:    1
  case_weights: 1

  -- Training information 
  Training data contained 150 data points and 10 incomplete rows.

  -- Operations 
  * Mode imputation for: x1 | Trained, weighted

Code
  imputed
Message

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

  -- Inputs 
  Number of variables by role
  predictor:    1
  case_weights: 1

  -- Training information 
  Training data contained 150 data points and 10 incomplete rows.

  -- Operations 
  * Mode imputation for: x1 | Trained, ignored weights

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Mode imputation for: <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 
  * Mode imputation for: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 13

  -- Operations 
  * Mode imputation for: Status, Home, Marital

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 13

  -- Training information 
  Training data contained 2000 data points and 186 incomplete rows.

  -- Operations 
  * Mode imputation for: Status, Home, Marital | Trained