tests/testthat/_snaps/class-precision.md

In yardstick: Tidy Characterizations of Model Performance

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

Code
  out <- precision_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 1 true event(s) actually occured for the problematic event level, 'a'.

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

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

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

work with class_pred input

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

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