mirror of
https://github.com/explosion/spaCy.git
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c95ce96c44
* Update sentence recognizer * rename `sentrec` to `senter` * use `spacy.HashEmbedCNN.v1` by default * update to follow `Tagger` modifications * remove component methods that can be inherited from `Tagger` * add simple initialization and overfitting pipeline tests * Update serialization test for senter
94 lines
2.6 KiB
Python
94 lines
2.6 KiB
Python
from pathlib import Path
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from .... import util
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def default_nel_config():
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loc = Path(__file__).parent / "entity_linker_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_nel():
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loc = Path(__file__).parent / "entity_linker_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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def default_morphologizer_config():
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loc = Path(__file__).parent / "morphologizer_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_morphologizer():
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loc = Path(__file__).parent / "morphologizer_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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def default_parser_config():
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loc = Path(__file__).parent / "parser_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_parser():
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loc = Path(__file__).parent / "parser_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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def default_ner_config():
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loc = Path(__file__).parent / "ner_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_ner():
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loc = Path(__file__).parent / "ner_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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def default_senter_config():
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loc = Path(__file__).parent / "senter_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_senter():
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loc = Path(__file__).parent / "senter_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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def default_tagger_config():
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loc = Path(__file__).parent / "tagger_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_tagger():
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loc = Path(__file__).parent / "tagger_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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def default_tensorizer_config():
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loc = Path(__file__).parent / "tensorizer_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_tensorizer():
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loc = Path(__file__).parent / "tensorizer_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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def default_textcat_config():
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loc = Path(__file__).parent / "textcat_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_textcat():
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loc = Path(__file__).parent / "textcat_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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def default_tok2vec_config():
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loc = Path(__file__).parent / "tok2vec_defaults.cfg"
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return util.load_config(loc, create_objects=False)
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def default_tok2vec():
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loc = Path(__file__).parent / "tok2vec_defaults.cfg"
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return util.load_config(loc, create_objects=True)["model"]
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