tests/testthat/_snaps/upsample.md

In tidymodels/themis: Extra Recipes Steps for Dealing with Unbalanced Data

ratio deprecation

Code
  new_rec <- step_upsample(recipe(~., data = circle_example), class, ratio = 2)
Condition
  Error:
  ! The `ratio` argument of `step_downsample()` was deprecated in themis 0.2.0 and is now defunct.
  i Please use the `over_ratio` argument instead.

bad data

Code
  prep(step_upsample(rec, x))
Condition
  Error in `step_upsample()`:
  Caused by error in `prep()`:
  ! `x` should be a factor variable.

Code
  prep(step_upsample(rec, class, id))
Condition
  Error in `step_upsample()`:
  Caused by error in `prep()`:
  ! The selector should select at most a single variable.

case_weights

Code
  rec1_p
Message

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

  -- Inputs 
  Number of variables by role
  predictor:    4
  case_weights: 1

  -- Training information 
  Training data contained 400 data points and no incomplete rows.

  -- Operations 
  * Up-sampling based on: class | Trained, weighted

Code
  rec1_p
Message

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

  -- Inputs 
  Number of variables by role
  predictor:    4
  case_weights: 1

  -- Training information 
  Training data contained 400 data points and no incomplete rows.

  -- Operations 
  * Up-sampling based on: class | Trained, ignored weights

bad args

Code
  prep(step_upsample(recipe(~., data = mtcars), over_ratio = "yes"))
Condition
  Error in `step_upsample()`:
  Caused by error in `prep()`:
  ! `over_ratio` must be a number, not the string "yes".

Code
  step_upsample(recipe(~., data = mtcars), seed = TRUE)
Condition
  Error in `step_upsample()`:
  ! `seed` must be a whole number, not `TRUE`.

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

Code
  bake(trained, new_data = circle_example[, -3])
Condition
  Error in `step_upsample()`:
  ! The following required column is missing from `new_data`: class.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Up-sampling based on: <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 
  * Up-sampling based on: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 4

  -- Operations 
  * Up-sampling based on: class

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 4

  -- Training information 
  Training data contained 400 data points and no incomplete rows.

  -- Operations 
  * Up-sampling based on: class | Trained

tidymodels/themis documentation built on July 4, 2025, 8:37 p.m.