tests/testthat/_snaps/impute_roll.md

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

bad args

Code
  recipe(~., data = example_data) %>% step_impute_roll(all_predictors(), window = 3) %>%
    prep(training = example_data)
Condition
  Error in `step_impute_roll()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be double.
  * 1 date variable found: `day`

Code
  recipe(~., data = example_data) %>% update_role(day, new_role = "time_index") %>%
    step_impute_roll(all_predictors(), window = 4) %>% prep(training = example_data)
Condition
  Error in `step_impute_roll()`:
  Caused by error in `prep()`:
  ! `window` should be an odd integer >= 3.

Code
  recipe(~., data = example_data) %>% update_role(day, new_role = "time_index") %>%
    step_impute_roll(all_predictors(), window = 3) %>% prep(training = example_data)
Condition
  Error in `step_impute_roll()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be double.
  * 1 integer variable found: `x4`

Code
  recipe(~., data = mtcars) %>% step_impute_roll(all_predictors(), statistic = mean,
  window = 1) %>% prep()
Condition
  Error in `step_impute_roll()`:
  Caused by error in `prep()`:
  ! `window` must be a whole number larger than or equal to 3, not the number 1.

Code
  recipe(~., data = mtcars) %>% step_impute_roll(all_predictors(), statistic = mean,
  window = 4) %>% prep()
Condition
  Error in `step_impute_roll()`:
  Caused by error in `prep()`:
  ! `window` should be an odd integer >= 3.

Code
  recipe(~., data = mtcars) %>% step_impute_roll(all_predictors(), statistic = NULL) %>%
    prep()
Condition
  Error in `step_impute_roll()`:
  Caused by error in `prep()`:
  ! `statistic` must be a function, not `NULL`.

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

Code
  bake(seven_pt, new_data = example_data[, c(-2)])
Condition
  Error in `step_impute_roll()`:
  ! The following required column is missing from `new_data`: x1.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Rolling imputation 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 
  * Rolling imputation for: <none> | Trained

printing

Code
  print(rec)
Message

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

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

  -- Operations 
  * Rolling imputation for: all_predictors()

Code
  prep(rec)
Message

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

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

  -- Training information 
  Training data contained 12 data points and 7 incomplete rows.

  -- Operations 
  * Rolling imputation for: x1, x2, x3 | Trained

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