tests/testthat/_snaps/class-markedness.md

In yardstick: Tidy Characterizations of Model Performance

work with class_pred input

Code
  markedness_vec(cp_truth, cp_estimate)
Condition
  Error in `markedness_vec()`:
  ! `truth` should not a <class_pred> object.

na_rm argument check

Code
  markedness_vec(1, 1, na_rm = "yes")
Condition
  Error in `markedness_vec()`:
  ! `na_rm` must be `TRUE` or `FALSE`, not the string "yes".

Binary returns NA with a warning when precision undefined (#98)

Code
  out <- markedness_vec(truth, estimate)
Condition
  Warning:
  While computing binary `precision()`, no predicted events were detected (i.e. `true_positive + false_positive = 0`).
  Precision is undefined in this case, and `NA` will be returned.
  Note that 0 true event(s) actually occurred for the problematic event level, a

Binary returns NA with a warning when inverse precision undefined (#98)

Code
  out <- markedness_vec(truth, estimate)
Condition
  Warning:
  While computing binary `markedness()`, no predicted non-events were detected (i.e. `true_negative + false_negative = 0`).
  Markedness is undefined in this case, and `NA` will be returned.
  Note that 0 true non-event(s) actually occurred for the problematic event level, b

Multiclass returns averaged value with warning when results undefined (#98)

Code
  out <- markedness_vec(truth, estimate)

yardstick documentation built on April 8, 2026, 1:06 a.m.