tests/testthat/_snaps/newvalues.md

In 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(s): 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 value(s): b,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(s): 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 value(s): c,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(s): 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(s): d

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

Code
  recipe(x1) %>% check_new_values(a, ignore_NA = FALSE) %>% prep() %>% bake(x2)
Condition
  Error in `new_values_func()`:
  ! a contains the new value(s): d,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(s): 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(s): 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(s): 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(s): 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(s): FALSE

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

recipes documentation built on Aug. 26, 2023, 1:08 a.m.