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spaCy
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spaCy/spacy/pipeline/defaults/__init__.py

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Default settings to configurations (#4995) * fix grad_clip naming * cleaning up pretrained_vectors out of cfg * further refactoring Model init's * move Model building out of pipes * further refactor to require a model config when creating a pipe * small fixes * making cfg in nn_parser more consistent * fixing nr_class for parser * fixing nn_parser's nO * fix printing of loss * architectures in own file per type, consistent naming * convenience methods default_tagger_config and default_tok2vec_config * let create_pipe access default config if available for that component * default_parser_config * move defaults to separate folder * allow reading nlp from package or dir with argument 'name' * architecture spacy.VocabVectors.v1 to read static vectors from file * cleanup * default configs for nel, textcat, morphologizer, tensorizer * fix imports * fixing unit tests * fixes and clean up * fixing defaults, nO, fix unit tests * restore parser IO * fix IO * 'fix' serialization test * add *.cfg to manifest * fix example configs with additional arguments * replace Morpohologizer with Tagger * add IO bit when testing overfitting of tagger (currently failing) * fix IO - don't initialize when reading from disk * expand overfitting tests to also check IO goes OK * remove dropout from HashEmbed to fix Tagger performance * add defaults for sentrec * update thinc * always pass a Model instance to a Pipe * fix piped_added statement * remove obsolete W029 * remove obsolete errors * restore byte checking tests (work again) * clean up test * further test cleanup * convert from config to Model in create_pipe * bring back error when component is not initialized * cleanup * remove calls for nlp2.begin_training * use thinc.api in imports * allow setting charembed's nM and nC * fix for hardcoded nM/nC + unit test * formatting fixes * trigger build
2020-02-27 17:42:27 +00:00
from pathlib import Path
default models defined in component decorator (#5452) * move defaults to pipeline and use in component decorator * black formatting * relative import
2020-05-19 14:20:03 +00:00
from ... import util
Default settings to configurations (#4995) * fix grad_clip naming * cleaning up pretrained_vectors out of cfg * further refactoring Model init's * move Model building out of pipes * further refactor to require a model config when creating a pipe * small fixes * making cfg in nn_parser more consistent * fixing nr_class for parser * fixing nn_parser's nO * fix printing of loss * architectures in own file per type, consistent naming * convenience methods default_tagger_config and default_tok2vec_config * let create_pipe access default config if available for that component * default_parser_config * move defaults to separate folder * allow reading nlp from package or dir with argument 'name' * architecture spacy.VocabVectors.v1 to read static vectors from file * cleanup * default configs for nel, textcat, morphologizer, tensorizer * fix imports * fixing unit tests * fixes and clean up * fixing defaults, nO, fix unit tests * restore parser IO * fix IO * 'fix' serialization test * add *.cfg to manifest * fix example configs with additional arguments * replace Morpohologizer with Tagger * add IO bit when testing overfitting of tagger (currently failing) * fix IO - don't initialize when reading from disk * expand overfitting tests to also check IO goes OK * remove dropout from HashEmbed to fix Tagger performance * add defaults for sentrec * update thinc * always pass a Model instance to a Pipe * fix piped_added statement * remove obsolete W029 * remove obsolete errors * restore byte checking tests (work again) * clean up test * further test cleanup * convert from config to Model in create_pipe * bring back error when component is not initialized * cleanup * remove calls for nlp2.begin_training * use thinc.api in imports * allow setting charembed's nM and nC * fix for hardcoded nM/nC + unit test * formatting fixes * trigger build
2020-02-27 17:42:27 +00:00
def default_nel_config():
loc = Path(__file__).parent / "entity_linker_defaults.cfg"
return util.load_config(loc, create_objects=False)
def default_nel():
loc = Path(__file__).parent / "entity_linker_defaults.cfg"
return util.load_config(loc, create_objects=True)["model"]
def default_morphologizer_config():
loc = Path(__file__).parent / "morphologizer_defaults.cfg"
return util.load_config(loc, create_objects=False)
def default_morphologizer():
loc = Path(__file__).parent / "morphologizer_defaults.cfg"
return util.load_config(loc, create_objects=True)["model"]
def default_parser_config():
loc = Path(__file__).parent / "parser_defaults.cfg"
return util.load_config(loc, create_objects=False)
def default_parser():
loc = Path(__file__).parent / "parser_defaults.cfg"
return util.load_config(loc, create_objects=True)["model"]
def default_ner_config():
loc = Path(__file__).parent / "ner_defaults.cfg"
return util.load_config(loc, create_objects=False)
def default_ner():
loc = Path(__file__).parent / "ner_defaults.cfg"
return util.load_config(loc, create_objects=True)["model"]
Update sentence recognizer (#5109) * 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
2020-03-06 13:45:02 +00:00
def default_senter_config():
loc = Path(__file__).parent / "senter_defaults.cfg"
Default settings to configurations (#4995) * fix grad_clip naming * cleaning up pretrained_vectors out of cfg * further refactoring Model init's * move Model building out of pipes * further refactor to require a model config when creating a pipe * small fixes * making cfg in nn_parser more consistent * fixing nr_class for parser * fixing nn_parser's nO * fix printing of loss * architectures in own file per type, consistent naming * convenience methods default_tagger_config and default_tok2vec_config * let create_pipe access default config if available for that component * default_parser_config * move defaults to separate folder * allow reading nlp from package or dir with argument 'name' * architecture spacy.VocabVectors.v1 to read static vectors from file * cleanup * default configs for nel, textcat, morphologizer, tensorizer * fix imports * fixing unit tests * fixes and clean up * fixing defaults, nO, fix unit tests * restore parser IO * fix IO * 'fix' serialization test * add *.cfg to manifest * fix example configs with additional arguments * replace Morpohologizer with Tagger * add IO bit when testing overfitting of tagger (currently failing) * fix IO - don't initialize when reading from disk * expand overfitting tests to also check IO goes OK * remove dropout from HashEmbed to fix Tagger performance * add defaults for sentrec * update thinc * always pass a Model instance to a Pipe * fix piped_added statement * remove obsolete W029 * remove obsolete errors * restore byte checking tests (work again) * clean up test * further test cleanup * convert from config to Model in create_pipe * bring back error when component is not initialized * cleanup * remove calls for nlp2.begin_training * use thinc.api in imports * allow setting charembed's nM and nC * fix for hardcoded nM/nC + unit test * formatting fixes * trigger build
2020-02-27 17:42:27 +00:00
return util.load_config(loc, create_objects=False)
Update sentence recognizer (#5109) * 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
2020-03-06 13:45:02 +00:00
def default_senter():
loc = Path(__file__).parent / "senter_defaults.cfg"
Default settings to configurations (#4995) * fix grad_clip naming * cleaning up pretrained_vectors out of cfg * further refactoring Model init's * move Model building out of pipes * further refactor to require a model config when creating a pipe * small fixes * making cfg in nn_parser more consistent * fixing nr_class for parser * fixing nn_parser's nO * fix printing of loss * architectures in own file per type, consistent naming * convenience methods default_tagger_config and default_tok2vec_config * let create_pipe access default config if available for that component * default_parser_config * move defaults to separate folder * allow reading nlp from package or dir with argument 'name' * architecture spacy.VocabVectors.v1 to read static vectors from file * cleanup * default configs for nel, textcat, morphologizer, tensorizer * fix imports * fixing unit tests * fixes and clean up * fixing defaults, nO, fix unit tests * restore parser IO * fix IO * 'fix' serialization test * add *.cfg to manifest * fix example configs with additional arguments * replace Morpohologizer with Tagger * add IO bit when testing overfitting of tagger (currently failing) * fix IO - don't initialize when reading from disk * expand overfitting tests to also check IO goes OK * remove dropout from HashEmbed to fix Tagger performance * add defaults for sentrec * update thinc * always pass a Model instance to a Pipe * fix piped_added statement * remove obsolete W029 * remove obsolete errors * restore byte checking tests (work again) * clean up test * further test cleanup * convert from config to Model in create_pipe * bring back error when component is not initialized * cleanup * remove calls for nlp2.begin_training * use thinc.api in imports * allow setting charembed's nM and nC * fix for hardcoded nM/nC + unit test * formatting fixes * trigger build
2020-02-27 17:42:27 +00:00
return util.load_config(loc, create_objects=True)["model"]
def default_tagger_config():
loc = Path(__file__).parent / "tagger_defaults.cfg"
return util.load_config(loc, create_objects=False)
def default_tagger():
loc = Path(__file__).parent / "tagger_defaults.cfg"
return util.load_config(loc, create_objects=True)["model"]
def default_textcat_config():
loc = Path(__file__).parent / "textcat_defaults.cfg"
return util.load_config(loc, create_objects=False)
def default_textcat():
loc = Path(__file__).parent / "textcat_defaults.cfg"
return util.load_config(loc, create_objects=True)["model"]
def default_tok2vec_config():
loc = Path(__file__).parent / "tok2vec_defaults.cfg"
return util.load_config(loc, create_objects=False)
def default_tok2vec():
loc = Path(__file__).parent / "tok2vec_defaults.cfg"
return util.load_config(loc, create_objects=True)["model"]
Adapt parser and NER for transformers (#5449) * Draft layer for BILUO actions * Fixes to biluo layer * WIP on BILUO layer * Add tests for BILUO layer * Format * Fix transitions * Update test * Link in the simple_ner * Update BILUO tagger * Update __init__ * Import simple_ner * Update test * Import * Add files * Add config * Fix label passing for BILUO and tagger * Fix label handling for simple_ner component * Update simple NER test * Update config * Hack train script * Update BILUO layer * Fix SimpleNER component * Update train_from_config * Add biluo_to_iob helper * Add IOB layer * Add IOBTagger model * Update biluo layer * Update SimpleNER tagger * Update BILUO * Read random seed in train-from-config * Update use of normal_init * Fix normalization of gradient in SimpleNER * Update IOBTagger * Remove print * Tweak masking in BILUO * Add dropout in SimpleNER * Update thinc * Tidy up simple_ner * Fix biluo model * Unhack train-from-config * Update setup.cfg and requirements * Add tb_framework.py for parser model * Try to avoid memory leak in BILUO * Move ParserModel into spacy.ml, avoid need for subclass. * Use updated parser model * Remove incorrect call to model.initializre in PrecomputableAffine * Update parser model * Avoid divide by zero in tagger * Add extra dropout layer in tagger * Refine minibatch_by_words function to avoid oom * Fix parser model after refactor * Try to avoid div-by-zero in SimpleNER * Fix infinite loop in minibatch_by_words * Use SequenceCategoricalCrossentropy in Tagger * Fix parser model when hidden layer * Remove extra dropout from tagger * Add extra nan check in tagger * Fix thinc version * Update tests and imports * Fix test * Update test * Update tests * Fix tests * Fix test Co-authored-by: Ines Montani <ines@ines.io>
2020-05-18 20:23:33 +00:00
def default_simple_ner_config():
loc = Path(__file__).parent / "simple_ner_defaults.cfg"
return util.load_config(loc, create_objects=False)
def default_simple_ner():
loc = Path(__file__).parent / "simple_ner_defaults.cfg"
return util.load_config(loc, create_objects=True)["model"]