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

bad args

Code
  rec %>% step_relevel(sqft, ref_level = 23) %>% prep()
Condition
  Error in `step_relevel()`:
  Caused by error in `prep()`:
  ! All columns selected for the step should be string, factor, or ordered.

Code
  rec %>% step_relevel(city, ref_level = "missing_level") %>% prep()
Condition
  Error in `step_relevel()`:
  Caused by error in `prep()`:
  ! Columns must contain the reference level 'missing_level': city

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Re-order factor level to ref_level 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 
  * Re-order factor level to ref_level for: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 9

  -- Operations 
  * Re-order factor level to ref_level for: zip

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 9

  -- Training information 
  Training data contained 800 data points and no incomplete rows.

  -- Operations 
  * Re-order factor level to ref_level for: zip | Trained