tests/testthat/_snaps/embed.md

In topepo/embed: Extra Recipes for Encoding Predictors

factor encoded predictor

Code
  new_values_ch <- bake(class_test, new_data = new_dat_ch, contains("embed"))
Condition
  Warning:
  ! There was 1 column that was a factor when the recipe was prepped:
  * `x3`
  i This may cause errors when processing new data.

Code
  new_values_ch <- bake(class_test, new_data = new_dat_ch, contains("embed"))
Condition
  Warning:
  ! There was 1 column that was a factor when the recipe was prepped:
  * `x3`
  i This may cause errors when processing new data.

bad args

Code
  recipe(Species ~ ., data = three_class) %>% step_embed(Sepal.Length, outcome = vars(
    Species)) %>% prep(training = three_class, retain = TRUE)
Condition
  Error in `step_embed()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be string, factor, or ordered.
  * 1 double variable found: `Sepal.Length`

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_embed()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `x3_embed_1`

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Embedding of factors via tensorflow 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 
  * Embedding of factors via tensorflow 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_embed()` 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
  outcome:   1
  predictor: 3

  -- Operations 
  * Embedding of factors via tensorflow for: x3

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 3

  -- Training information 
  Training data contained 500 data points and no incomplete rows.

  -- Operations 
  * Embedding of factors via tensorflow for: x3 | Trained

topepo/embed documentation built on March 26, 2024, 4:11 a.m.