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Rename no_ner arg to no_entities
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@ -86,17 +86,17 @@ class CLI(object):
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use_gpu=("Use GPU", "flag", "g", bool),
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no_tagger=("Don't train tagger", "flag", "T", bool),
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no_parser=("Don't train parser", "flag", "P", bool),
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no_ner=("Don't train NER", "flag", "N", bool)
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no_entities=("Don't train NER", "flag", "N", bool)
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)
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def train(self, lang, output_dir, train_data, dev_data=None, n_iter=15,
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nsents=0, parser_L1=0.0, use_gpu=False,
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no_tagger=False, no_parser=False, no_ner=False):
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no_tagger=False, no_parser=False, no_entities=False):
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"""
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Train a model. Expects data in spaCy's JSON format.
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"""
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nsents = nsents or None
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cli_train(lang, output_dir, train_data, dev_data, n_iter, nsents,
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use_gpu, not no_tagger, not no_parser, not no_ner, parser_L1)
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use_gpu, no_tagger, no_parser, no_entities, parser_L1)
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@plac.annotations(
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lang=("model language", "positional", None, str),
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