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Multiply accuracy by 100

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This seems to match with the scorer expectations better
This commit is contained in:
Paul O'Leary McCann 2022-04-14 15:56:38 +09:00
parent e8af02700f
commit 8181d4570c
1 changed files with 1 additions and 1 deletions
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spacy/pipeline/coref.py
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@ -633,4 +633,4 @@ class SpanPredictor(TrainablePipe):
correct = (starts == pred_starts) * (ends == pred_ends) correct = (starts == pred_starts) * (ends == pred_ends)
accuracy = correct.mean() accuracy = correct.mean()
scores.append(float(accuracy)) scores.append(float(accuracy))
return {"span_accuracy": mean(scores)} return {"span_accuracy": 100 * mean(scores)}