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

check_col works in the bake stage

Code
  rp1 %>% check_cols(all_predictors()) %>% prep() %>% bake(mtcars[-1])
Condition
  Error in `bake()`:
  x The following required columns are missing from `new_data`: `mpg`.
  i These columns have one of the following roles, which are required at `bake()` time: `predictor`.

Code
  rp2 %>% check_cols(cyl, mpg, drat) %>% prep() %>% bake(mtcars[, c(2, 5)])
Condition
  Error in `bake()`:
  x The following required columns are missing from `new_data`: `mpg`.
  i These columns have one of the following roles, which are required at `bake()` time: `predictor`.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Check if the following columns are present:: <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 
  * Check if the following columns are present:: <none> | Trained

printing

Code
  print(rec)
Message

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

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

  -- Operations 
  * Check if the following columns are present:: all_predictors()

Code
  prep(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 
  * Check if the following columns are present:: cyl, disp, hp, ... | Trained