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update to training doc
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@ -13,14 +13,17 @@ p
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+code.
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from spacy.vocab import Vocab
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from spacy.pipeline import Tagger
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from spacy.tagger import Tagger
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from spacy.tokens import Doc
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from spacy.gold import GoldParse
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vocab = Vocab(tag_map={'N': {'pos': 'NOUN'}, 'V': {'pos': 'VERB'}})
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tagger = Tagger(vocab)
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doc = Doc(vocab, words=['I', 'like', 'stuff'])
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tagger.update(doc, ['N', 'V', 'N'])
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gold = GoldParse(doc, tags=['N', 'V', 'N'])
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tagger.update(doc, gold)
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tagger.model.end_training()
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