tests/testthat/_snaps/textfeature.md

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 select 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 select 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 occurred. The following variable names already exist:
  * `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.
  i 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.
  i 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


EmilHvitfeldt/textrecipes documentation built on April 7, 2024, 5:02 a.m.