num2factor.md
In recipes: Preprocessing and Feature Engineering Steps for Modeling

bad args

Code
  rec %>% step_num2factor(w, x, levels = c("one", "two")) %>% prep(ex_dat)
Condition
  Error in `step_num2factor()`:
  Caused by error in `prep()`:
  ! All columns selected for the step should be double, or integer.

Code
  rec %>% step_num2factor(w, x) %>% prep(ex_dat)
Condition
  Error in `step_num2factor()`:
  ! Please provide a character vector of appropriate length for `levels`.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Factor 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 
  * Factor variables from: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 3

  -- Operations 
  * Factor variables from: z

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 3

  -- Training information 
  Training data contained 200 data points and no incomplete rows.

  -- Operations 
  * Factor variables from: z | Trained