textfeature.md
In textrecipes: Extra 'Recipes' for Text Processing

custom extraction functions work works

Code
  rec %>% step_textfeature(text, extract_functions = list(as.character)) %>% prep()
Condition
  Error in `step_textfeature()`:
  Caused by error in `prep()`:
  ! Can't subset columns that don't exist.
  x Column `text` doesn't exist.

Code
  rec %>% step_textfeature(text, extract_functions = list(function(x) 1)) %>%
    prep()
Condition
  Error in `step_textfeature()`:
  Caused by error in `prep()`:
  ! Can't subset columns that don't exist.
  x Column `text` doesn't exist.

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_textfeature()`:
  Caused by error in `bake()`:
  ! Name collision occured. The following variable names already exists:
  i  textfeature_text_n_words

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Text feature extraction 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 
  * Text feature extraction for: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  'keep_original_cols' was added to `step_tf()` after this recipe was created.
  Regenerate your recipe to avoid this warning.

Code
  rec <- prep(rec)
Condition
  Warning:
  'keep_original_cols' was added to `step_textfeature()` after this recipe was created.
  Regenerate your recipe to avoid this warning.

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Operations 
  * Text feature extraction for: text

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 4 data points and no incomplete rows.

  -- Operations 
  * Text feature extraction for: text | Trained