tests/testthat/_snaps/class-sens.md

In yardstick: Tidy Characterizations of Model Performance

Binary sens() returns NA with a warning when undefined (tp + fn = 0) (#98)

Code
  out <- sens_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 occurred for the problematic event level, a

Multiclass sens() returns averaged value with NAs removed + a warning when undefined (tp + fn = 0) (#98)

Code
  out <- sens_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 occurred for each problematic event level:
  'b': 0, 'c': 1

work with class_pred input

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

yardstick documentation built on June 22, 2024, 7:07 p.m.