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Fix bug in scorer

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Scoring code was just using one metric, not all three of interest.
This commit is contained in:
Paul O'Leary McCann 2021-08-12 18:22:08 +09:00
parent 00d481dd12
commit 230698dc83
1 changed files with 1 additions and 1 deletions
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spacy/pipeline/coref.py
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@ -357,7 +357,7 @@ class CoreferenceResolver(TrainablePipe):
# we need to handle the average ourselves.
scores = []
for metric in (b_cubed, muc, ceafe):
evaluator = Evaluator(b_cubed)
evaluator = Evaluator(metric)
for ex in examples:
p_clusters = doc2clusters(ex.predicted, self.span_cluster_prefix)