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

basic functionality

Code
  te_1 <- bake(rec_1, sacr_te)
Condition
  Warning:
  ! There are new levels in `city`: "WEST_SACRAMENTO".
  i Consider using step_novel() (`?recipes::step_novel()`) \ before `step_unknown()` to handle unseen values.
  * New levels will be coerced to `NA` by `step_unknown()`.
  Warning:
  ! There are new levels in `zip`: "z95691".
  i Consider using step_novel() (`?recipes::step_novel()`) \ before `step_unknown()` to handle unseen values.
  * New levels will be coerced to `NA` by `step_unknown()`.

bad args

Code
  recipe(~., data = sacr_tr) %>% step_unknown(sqft) %>% prep()
Condition
  Error in `step_unknown()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be string, factor, or ordered.
  * 1 integer variable found: `sqft`

Code
  recipe(~., data = sacr_tr) %>% step_unknown(city, new_level = "FAIR_OAKS") %>%
    prep()
Condition
  Error in `step_unknown()`:
  Caused by error in `prep()`:
  ! Columns already contain the level "FAIR_OAKS": city.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Unknown factor level assignment 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 
  * Unknown factor level assignment for: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 9

  -- Operations 
  * Unknown factor level assignment for: city and 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 
  * Unknown factor level assignment for: city and zip | Trained