tests/testthat/_snaps/class-j_index.md

In yardstick: Tidy Characterizations of Model Performance

Binary j_index() returns NA with a warning when sensitivity is undefined (tp + fn = 0) (#265)

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

Binary j_index() returns NA with a warning when specificity is undefined (tn + fp = 0) (#265)

Code
  out <- j_index_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 j_index() returns averaged value with NAs removed + a warning when sensitivity is undefined (tp + fn = 0) (#265)

Code
  out <- j_index_vec(truth, estimate)
Condition
  Warning:
  While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
  Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
  Note that the following number of predicted events actually occured for each problematic event level:
  'c': 1

Multiclass j_index() returns averaged value with NAs removed + a warning when specificity is undefined (tn + fp = 0) (#265)

Code
  out <- j_index_vec(truth, estimate)
Condition
  Warning:
  While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
  Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
  Note that the following number of predicted events actually occured for each problematic event level:
  'b': 1
  'c': 1
  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
  j_index_vec(cp_truth, cp_estimate)
Condition
  Error in `j_index_vec()`:
  ! `truth` should not a `class_pred` object.

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