mirror of https://github.com/explosion/spaCy.git
Add text categorizer to Language
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@ -22,6 +22,7 @@ from .pipeline import NeuralDependencyParser, EntityRecognizer
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from .pipeline import TokenVectorEncoder, NeuralTagger, NeuralEntityRecognizer
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from .pipeline import TokenVectorEncoder, NeuralTagger, NeuralEntityRecognizer
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from .pipeline import NeuralLabeller
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from .pipeline import NeuralLabeller
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from .pipeline import SimilarityHook
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from .pipeline import SimilarityHook
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from .pipeline import TextCategorizer
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from .compat import json_dumps
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from .compat import json_dumps
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from .attrs import IS_STOP
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from .attrs import IS_STOP
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@ -107,6 +108,8 @@ class BaseDefaults(object):
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NeuralDependencyParser(nlp.vocab, **cfg),
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NeuralDependencyParser(nlp.vocab, **cfg),
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nonproj.deprojectivize],
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nonproj.deprojectivize],
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'ner': lambda nlp, **cfg: [NeuralEntityRecognizer(nlp.vocab, **cfg)],
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'ner': lambda nlp, **cfg: [NeuralEntityRecognizer(nlp.vocab, **cfg)],
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'similarity': lambda nlp, **cfg: [SimilarityHook(nlp.vocab, **cfg)],
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'textcat': lambda nlp, **cfg: [TextCategorizer(nlp.vocab, **cfg)],
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# Temporary compatibility -- delete after pivot
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# Temporary compatibility -- delete after pivot
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'token_vectors': lambda nlp, **cfg: [TokenVectorEncoder(nlp.vocab, **cfg)],
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'token_vectors': lambda nlp, **cfg: [TokenVectorEncoder(nlp.vocab, **cfg)],
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'tags': lambda nlp, **cfg: [NeuralTagger(nlp.vocab, **cfg)],
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'tags': lambda nlp, **cfg: [NeuralTagger(nlp.vocab, **cfg)],
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@ -115,7 +118,6 @@ class BaseDefaults(object):
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nonproj.deprojectivize,
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nonproj.deprojectivize,
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],
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],
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'entities': lambda nlp, **cfg: [NeuralEntityRecognizer(nlp.vocab, **cfg)],
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'entities': lambda nlp, **cfg: [NeuralEntityRecognizer(nlp.vocab, **cfg)],
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'similarity': lambda nlp, **cfg: [SimilarityHook(nlp.vocab, **cfg)]
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}
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}
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token_match = TOKEN_MATCH
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token_match = TOKEN_MATCH
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