tests/testthat/_snaps/missing.md

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

check_missing throws error on all types

Code
  tst(a)
Condition
  Error in `check_missing()`:
  Caused by error in `bake()`:
  ! The following columns contains missing values: a.

Code
  tst(b)
Condition
  Error in `check_missing()`:
  Caused by error in `bake()`:
  ! The following columns contains missing values: b.

Code
  tst(d)
Condition
  Error in `check_missing()`:
  Caused by error in `bake()`:
  ! The following columns contains missing values: d.

Code
  tst(e)
Condition
  Error in `check_missing()`:
  Caused by error in `bake()`:
  ! The following columns contains missing values: e.

check_missing works on multiple columns simultaneously

Code
  tst(a, e)
Condition
  Error in `check_missing()`:
  Caused by error in `bake()`:
  ! The following columns contains missing values: a and e.

Code
  tst(all_predictors())
Condition
  Error in `check_missing()`:
  Caused by error in `bake()`:
  ! The following columns contains missing values: a, b, d, and e.

check_missing on a new set

Code
  bake(rp, na)
Condition
  Error in `bake()`:
  ! The following columns contains missing values: a.

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

Code
  bake(rec_trained, new_data = mtcars[, -3])
Condition
  Error in `check_missing()`:
  ! 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 
  * Check missing 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 
  * Check missing values for: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  undeclared role: 11

  -- Operations 
  * Check missing values for: all_numeric()

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  undeclared role: 11

  -- Training information 
  Training data contained 32 data points and no incomplete rows.

  -- Operations 
  * Check missing values for: mpg, cyl, disp, hp, drat, wt, ... | Trained

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