tests/testthat/_snaps/impute_bag.md

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

impute_with errors with nothing selected

Code
  recipe(~., data = mtcars) %>% step_impute_bag(all_predictors(), impute_with = NULL) %>%
    prep()
Condition
  Error in `step_impute_bag()`:
  ! `impute_with` must not be empty.

Code
  tmp <- recipe(~., data = mtcars) %>% step_impute_bag(mpg, disp, vs) %>% prep()
Condition
  Warning:
  All predictors are missing; cannot impute.
  Warning:
  All predictors are missing; cannot impute.
  Warning:
  All predictors are missing; cannot impute.

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

Code
  bake(imputed_trained, new_data = biomass[, c(-3, -9)])
Condition
  Error in `step_impute_bag()`:
  ! The following required columns are missing from `new_data`: carbon and fac.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Bagged tree 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 
  * Bagged tree imputation for: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 6

  -- Operations 
  * Bagged tree imputation for: carbon

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 6

  -- Training information 
  Training data contained 536 data points and no incomplete rows.

  -- Operations 
  * Bagged tree imputation for: carbon | Trained

bad args

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

Code
  recipe(~., data = mtcars) %>% step_impute_bag(all_predictors(), seed_val = 1:4) %>%
    prep()
Condition
  Error in `step_impute_bag()`:
  Caused by error in `prep()`:
  ! `seed_val` must be a whole number, not an integer vector.

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