tests/testthat/_snaps/newvalues.md

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

new_values_func breaks when x contains new values

Code
  new_values_func(x, allowed_values[-3], colname = "MacGyver")
Condition
  Error in `new_values_func()`:
  ! `MacGyver` contains the new value: "c".

new_values_func correctly prints multiple new values

Code
  new_values_func(x, allowed_values[-c(2:3)], colname = "MacGyver")
Condition
  Error in `new_values_func()`:
  ! `MacGyver` contains the new values: "b" and "c".

new_values_func breaks when NA is new value and ignore_NA is FALSE

Code
  new_values_func(x_na, allowed_values, ignore_NA = FALSE, colname = "MacGyver")
Condition
  Error in `new_values_func()`:
  ! `MacGyver` contains the new value: NA.

new_values_func correctly prints multiple new values with NA

Code
  new_values_func(x_na, allowed_values[-3], ignore_NA = FALSE, colname = "MacGyver")
Condition
  Error in `new_values_func()`:
  ! `MacGyver` contains the new values: "c" and NA.

new_values_func correctly prints only non na-values when also NA as new value and ignore_NA is TRUE

Code
  new_values_func(x_na, allowed_values[-3], ignore_NA = TRUE, colname = "MacGyver")
Condition
  Error in `new_values_func()`:
  ! `MacGyver` contains the new value: "c".

check_new_values breaks with new values

Code
  recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2[1:4, , drop = FALSE])
Condition
  Error in `new_values_func()`:
  ! `a` contains the new value: "d".

Code
  recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! `a` contains the new values: "d" and "e".

check_new_values ignores NA by default

Code
  recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! `a` contains the new value: "d".

check_new_values not ignoring NA argument

Code
  recipe(x1) %>% check_new_values(a, ignore_NA = FALSE) %>% prep() %>% bake(x2[-4,
    , drop = FALSE])
Condition
  Error in `new_values_func()`:
  ! `a` contains the new value: NA.

Code
  recipe(x1) %>% check_new_values(a, ignore_NA = FALSE) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! `a` contains the new values: "d" and NA.

check_new_values works on doubles

Code
  recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! `a` contains the new value: "1.3".

check_new_values works on integers

Code
  recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! `a` contains the new value: "3".

check_new_values works on factors

Code
  recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! `a` contains the new value: "c".

check_new_values works on characters

Code
  recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! `a` contains the new value: "c".

check_new_values works on logicals

Code
  recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! `a` contains the new value: "FALSE".

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

Code
  bake(rec_trained, new_data = mtcars[, -3])
Condition
  Error in `check_new_values()`:
  ! The following required column is missing from `new_data`: disp.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Checking no new_values for: <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 
  * Checking no new_values for: <none> | Trained

printing

Code
  print(rec)
Message

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

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

  -- Operations 
  * Checking no new_values for: disp

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 
  * Checking no new_values for: disp | Trained

bad args

Code
  recipe(mpg ~ ., mtcars) %>% check_new_values(disp, ignore_NA = 2) %>% prep()
Condition
  Error in `check_new_values()`:
  Caused by error in `prep()`:
  ! `ignore_NA` must be `TRUE` or `FALSE`, not the number 2.

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