tests/testthat/_snaps/upsample.md

ratio deprecation

Code
  new_rec <- recipe(~., data = circle_example) %>% step_upsample(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
  rec %>% step_upsample(x) %>% prep()
Condition
  Error in `step_upsample()`:
  Caused by error in `prep()`:
  ! `x` should be a factor variable.
Code
  rec %>% step_upsample(class, id) %>% prep()
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
  recipe(~., data = mtcars) %>% step_upsample(over_ratio = "yes") %>% prep()
Condition
  Error in `step_upsample()`:
  Caused by error in `prep()`:
  ! `over_ratio` must be a number, not the string "yes".
Code
  recipe(~., data = mtcars) %>% step_upsample(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 Jan. 23, 2025, 8:23 a.m.