tests/testthat/_snaps/tfidf.md

In EmilHvitfeldt/textrecipes: Extra 'Recipes' for Text Processing

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_tfidf()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `tfidf_text_i`

Backwards compatibility with 1592690d36581fc5f4952da3e9b02351b31f1a2e

Code
  expect_equal(bake(rec, data) %>% slice(1), tibble(tfidf_text_g = log(1 + 2 / 1) /
    2, tfidf_text_i = log(1 + 2 / 2) / 2))
Condition
  Warning:
  Please retrain this recipe with version 0.5.1 or higher.
  * A data leakage bug has been fixed for `step_tfidf()`.

Code
  expect_equal(bake(rec, data %>% slice(1)), tibble(tfidf_text_g = log(1 + 2 / 2) /
    2, tfidf_text_i = log(1 + 2 / 2) / 2))
Condition
  Warning:
  Please retrain this recipe with version 0.5.1 or higher.
  * A data leakage bug has been fixed for `step_tfidf()`.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Term frequency-inverse document frequency with: <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 
  * Term frequency-inverse document frequency with: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_tfidf()` 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 
  * Tokenization for: text
  * Term frequency-inverse document frequency with: 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 
  * Tokenization for: text | Trained
  * Term frequency-inverse document frequency with: text | Trained

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