tests/testthat/_snaps/impute_mode.md

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

non-nominal

Code
  prep(impute_rec, training = credit_tr, verbose = FALSE)
Condition
  Error in `step_impute_mode()`:
  Caused by error in `prep()`:
  ! The data should be character or factor to compute the mode. Not an integer vector.

can bake recipes with no ptype

Code
  imputed_te <- bake(imputed, credit_te)
Condition
  Warning:
  ! `ptype` was added to `step_impute_mode()` after this recipe was created.
  i Regenerate your recipe to avoid this warning.

case weights

Code
  imputed
Message

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

  -- Inputs 
  Number of variables by role
  predictor:    1
  case_weights: 1

  -- Training information 
  Training data contained 150 data points and 10 incomplete rows.

  -- Operations 
  * Mode imputation for: x1 | Trained, weighted

Code
  imputed
Message

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

  -- Inputs 
  Number of variables by role
  predictor:    1
  case_weights: 1

  -- Training information 
  Training data contained 150 data points and 10 incomplete rows.

  -- Operations 
  * Mode imputation for: x1 | Trained, ignored weights

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

Code
  bake(imputed, new_data = credit_te[, c(-6)])
Condition
  Error in `step_impute_mode()`:
  ! The following required column is missing from `new_data`: Marital.

empty printing

Code
  rec
Message

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

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

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

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 13

  -- Operations 
  * Mode imputation for: Status, Home, Marital

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 13

  -- Training information 
  Training data contained 2000 data points and 186 incomplete rows.

  -- Operations 
  * Mode imputation for: Status, Home, Marital | Trained

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