tests/testthat/_snaps/window.md

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

error checks

Code
  rec %>% step_window(y1, size = 6)
Condition
  Error in `step_window()`:
  ! `size` should be odd, not 6.

Code
  rec %>% step_window(y1, size = NA)
Condition
  Error in `step_window()`:
  ! `size` must be a number, not `NA`.

Code
  rec %>% step_window(y1, statistic = "average")
Condition
  Error in `step_window()`:
  ! `statistic` should be one of: "mean", "median", "sd", "var", "sum", "prod", "min", or "max".

Code
  rec %>% step_window(y1, size = 1)
Condition
  Error in `step_window()`:
  ! `size` should be at least 3, not 1.

Code
  rec %>% step_window(y1, size = 2)
Condition
  Error in `step_window()`:
  ! `size` should be odd, not 2.

Code
  rec %>% step_window(y1, size = -1)
Condition
  Error in `step_window()`:
  ! `size` must be a number larger than or equal to 0, not the number -1.

Code
  rec %>% step_window(y1, size = pi)
Condition
  Warning:
  `size` was not an integer (3.14159265358979) and was converted to 3.
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 6

  -- Operations 
  * Moving 3-point mean on: y1

Code
  prep(rec %>% step_window(fac), training = sim_dat)
Condition
  Error in `step_window()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be double or integer.
  * 1 factor variable found: `fac`

Code
  prep(rec %>% step_window(y1, size = 1000L), training = sim_dat)
Condition
  Error in `step_window()`:
  ! `size` should be odd, not 1000.

Code
  prep(bad_names, training = sim_dat)
Condition
  Error in `step_window()`:
  Caused by error in `prep()`:
  ! There were 2 terms selected but 1 value for the new features was passed to `names`.

check_name() is used

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

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Moving 3-point mean 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 
  * Moving 3-point mean 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_window()` 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: 10

  -- Operations 
  * Moving 3-point mean on: <none>

Code
  prep(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 
  * Moving 3-point mean on: <none> | Trained

topepo/recipes documentation built on April 10, 2024, 10:30 p.m.