tests/testthat/_snaps/date.md

In tidymodels/recipes: Preprocessing and Feature Engineering Steps for Modeling

check_name() is used

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

errors on wrong values of features

Code
  recipe(~ Dan + Stefan, examples) %>% step_date(all_predictors(), features = "yearly") %>%
    prep()
Condition
  Error in `step_date()`:
  x Possible values of `features` are "year", "doy", "mday", "week", "decimal", "semester", "quarter", "dow", or "month".
  i Invalid values were: "yearly".

Code
  recipe(~ Dan + Stefan, examples) %>% step_date(all_predictors(), features = c(
    "daily", "monthly", "yearly")) %>% prep()
Condition
  Error in `step_date()`:
  x Possible values of `features` are "year", "doy", "mday", "week", "decimal", "semester", "quarter", "dow", or "month".
  i Invalid values were: "daily", "monthly", and "yearly".

Code
  recipe(~ Dan + Stefan, examples) %>% step_date(all_predictors(), features = c(
    "daily", "month", "yearly")) %>% prep()
Condition
  Error in `step_date()`:
  x Possible values of `features` are "year", "doy", "mday", "week", "decimal", "semester", "quarter", "dow", or "month".
  i Invalid values were: "daily" and "yearly".

bake method errors when needed non-standard role columns are missing

Code
  bake(date_rec, new_data = examples[, 2, drop = FALSE])
Condition
  Error in `step_date()`:
  ! The following required column is missing from `new_data`: Dan.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Date features from: <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 
  * Date features from: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_date()` 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: 2

  -- Operations 
  * Date features from: all_predictors()

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 2

  -- Training information 
  Training data contained 10 data points and no incomplete rows.

  -- Operations 
  * Date features from: Dan and Stefan | Trained

bad args

Code
  date_rec <- recipe(~ Dan + Stefan, examples) %>% step_date(all_predictors(),
  abbr = "nope") %>% prep()
Condition
  Error in `step_date()`:
  Caused by error in `prep()`:
  ! `abbr` must be `TRUE` or `FALSE`, not the string "nope".

Code
  date_rec <- recipe(~ Dan + Stefan, examples) %>% step_date(all_predictors(),
  label = "no!") %>% prep()
Condition
  Error in `step_date()`:
  Caused by error in `prep()`:
  ! `label` must be `TRUE` or `FALSE`, not the string "no!".

Code
  date_rec <- recipe(~ Dan + Stefan, examples) %>% step_date(all_predictors(),
  ordinal = "never") %>% prep()
Condition
  Error in `step_date()`:
  Caused by error in `prep()`:
  ! `ordinal` must be `TRUE` or `FALSE`, not the string "never".

tidymodels/recipes documentation built on Jan. 25, 2025, 7:30 a.m.