| 11 | |
| 12 | |
| 13 | def classifier_accuracy(predicted_labels, exact_labels): |
| 14 | pw.universes.promise_is_subset_of(predicted_labels, exact_labels) |
| 15 | comparative_results = predicted_labels.select( |
| 16 | predicted_label=predicted_labels.predicted_label, |
| 17 | label=exact_labels.restrict(predicted_labels).label, |
| 18 | ) |
| 19 | comparative_results = comparative_results + comparative_results.select( |
| 20 | match=comparative_results.label == comparative_results.predicted_label |
| 21 | ) |
| 22 | accuracy = comparative_results.groupby(comparative_results.match).reduce( |
| 23 | cnt=pw.reducers.count(), |
| 24 | value=comparative_results.match, |
| 25 | ) |
| 26 | pw.universes.promise_is_subset_of(predicted_labels, accuracy) |
| 27 | return accuracy |
| 28 | |
| 29 | |
| 30 | P = ParamSpec("P") |