tests/testthat/_snaps/class-f_meas.md

In yardstick: Tidy Characterizations of Model Performance

NA values propagate from binary precision()

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 2 true event(s) actually occurred for the problematic event level, a
Code
  expect <- f_meas_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 2 true event(s) actually occurred for the problematic event level, a

NA values propagate from binary recall()

Code
  out <- recall_vec(truth, estimate)
Condition
  Warning:
  While computing binary `recall()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
  Recall is undefined in this case, and `NA` will be returned.
  Note that 2 predicted event(s) actually occurred for the problematic event level a
Code
  expect <- f_meas_vec(truth, estimate)
Condition
  Warning:
  While computing binary `recall()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
  Recall is undefined in this case, and `NA` will be returned.
  Note that 2 predicted event(s) actually occurred for the problematic event level a

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

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

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

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

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

Code
  out <- f_meas_vec(truth, estimate)
Condition
  Warning:
  While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`).
  Recall 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:
  'c': 1

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

Code
  out <- f_meas_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 occurred for each problematic event level:
  'c': 1

work with class_pred input

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

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