tests/testthat/_snaps/poly.md

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

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_poly()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `mpg_poly_1`

old option argument

Code
  res <- recipe(~., data = iris) %>% step_poly(Sepal.Width, options = list(
    degree = 3)) %>% prep() %>% bake(new_data = NULL)
Message
  The `degree` argument is now a main argument instead of being within `options`.

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

Code
  bake(with_poly, new_data = biomass_tr[, c(-3)])
Condition
  Error in `step_poly()`:
  ! The following required column is missing from `new_data`: carbon.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Orthogonal polynomials 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 
  * Orthogonal polynomials on: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_poly()` after this recipe was created.
  i Regenerate your recipe to avoid this warning.

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 5

  -- Operations 
  * Orthogonal polynomials on: carbon and hydrogen

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 5

  -- Training information 
  Training data contained 456 data points and no incomplete rows.

  -- Operations 
  * Orthogonal polynomials on: carbon and hydrogen | Trained

bad args

Code
  recipe(mpg ~ ., data = mtcars) %>% step_poly(disp, degree = 0) %>% prep()
Condition
  Error in `step_poly()`:
  Caused by error in `prep()`:
  ! `degree` must be a whole number larger than or equal to 1, not the number 0.

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