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Formatting fixes in Tagger
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@ -50,7 +50,7 @@ DEFAULT_TAGGER_MODEL = Config().from_str(default_model_config)["model"]
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"overwrite": False,
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"overwrite": False,
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"scorer": {"@scorers": "spacy.tagger_scorer.v1"},
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"scorer": {"@scorers": "spacy.tagger_scorer.v1"},
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"neg_prefix": "!",
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"neg_prefix": "!",
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"store_activations": False
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"store_activations": False,
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},
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},
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default_score_weights={"tag_acc": 1.0},
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default_score_weights={"tag_acc": 1.0},
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)
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)
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@ -70,7 +70,8 @@ def make_tagger(
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in size, and be normalized as probabilities (all scores between 0 and 1,
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in size, and be normalized as probabilities (all scores between 0 and 1,
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with the rows summing to 1).
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with the rows summing to 1).
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"""
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"""
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return Tagger(nlp.vocab, model, name, overwrite=overwrite, scorer=scorer, neg_prefix=neg_prefix, store_activations=store_activations)
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return Tagger(nlp.vocab, model, name, overwrite=overwrite, scorer=scorer, neg_prefix=neg_prefix,
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store_activations=store_activations)
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def tagger_score(examples, **kwargs):
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def tagger_score(examples, **kwargs):
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