tests/testthat/_snaps/rose.md

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

bad data

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

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

NA in response

Code
  recipe(Status ~ Age, data = credit_data0) %>% step_rose(Status) %>% prep()
Condition
  Error in `step_rose()`:
  Caused by error in `prep()`:
  ! Cannot have any missing values. NAs found in Status.

only except 2 classes

Code
  recipe(~., data = df_char) %>% step_rose(x) %>% prep()
Condition
  Error in `step_rose()`:
  Caused by error in `prep()`:
  ! The `x` must only have 2 levels.

bad args

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

Code
  recipe(~., data = mtcars) %>% step_rose(minority_prop = TRUE)
Condition
  Error in `step_rose()`:
  ! `minority_prop` must be a number, not `TRUE`.

Code
  recipe(~., data = mtcars) %>% step_rose(minority_smoothness = TRUE)
Condition
  Error in `step_rose()`:
  ! `minority_smoothness` must be a number, not `TRUE`.

Code
  recipe(~., data = mtcars) %>% step_rose(majority_smoothness = TRUE)
Condition
  Error in `step_rose()`:
  ! `majority_smoothness` must be a number, not `TRUE`.

Code
  recipe(~., data = mtcars) %>% step_rose(seed = TRUE)
Condition
  Error in `step_rose()`:
  ! `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_rose()`:
  ! 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 
  * ROSE 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 
  * ROSE based on: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 2

  -- Operations 
  * ROSE based on: class

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 2

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

  -- Operations 
  * ROSE based on: class | Trained

tidymodels/themis documentation built on Jan. 23, 2025, 8:23 a.m.