mirror of https://github.com/explosion/spaCy.git
Fix handling of unseen labels in tagger
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@ -501,6 +501,7 @@ class Tagger(Pipe):
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cdef int idx = 0
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correct = numpy.zeros((scores.shape[0],), dtype='i')
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guesses = scores.argmax(axis=1)
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known_labels = numpy.ones((scores.shape[0],), dtype='f')
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for gold in golds:
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for tag in gold.tags:
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if tag is None:
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@ -508,10 +509,12 @@ class Tagger(Pipe):
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elif tag in tag_index:
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correct[idx] = tag_index[tag]
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else:
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correct[idx] = len(tag_index)+1
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correct[idx] = 0
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known_labels[idx] = 0.
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idx += 1
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correct = self.model.ops.xp.array(correct, dtype='i')
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d_scores = scores - to_categorical(correct, nb_classes=scores.shape[1])
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d_scores *= known_labels
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loss = (d_scores**2).sum()
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d_scores = self.model.ops.unflatten(d_scores, [len(d) for d in docs])
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return float(loss), d_scores
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