tests/testthat/_snaps/class-spec.md

In yardstick: Tidy Characterizations of Model Performance

Binary spec() returns NA with a warning when undefined (tn + fp = 0) (#98)

Code
  out <- spec_vec(truth, estimate)
Condition
  Warning:
  While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
  Specificity is undefined in this case, and `NA` will be returned.
  Note that 1 predicted negatives(s) actually occured for the problematic event level, 'a'.

Multiclass spec() returns averaged value with NAs removed + a warning when undefined (tn + fp = 0) (#98)

Code
  out <- spec_vec(truth, estimate)
Condition
  Warning:
  While computing multiclass `spec()`, some levels had no true negatives (i.e. `true_negative + false_positive = 0`). 
  Specificity is undefined in this case, and those levels will be removed from the averaged result.
  Note that the following number of predicted negatives actually occured for each problematic event level:
  'a': 2

work with class_pred input

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

yardstick documentation built on April 21, 2023, 9:08 a.m.