explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-10-31 16:07:41 +03:00
Code Issues Packages Projects Releases Wiki Activity

Fix multiple context manages in examples (#5690)

Browse Source
This commit is contained in:
Adriane Boyd 2020-07-02 10:36:07 +02:00 committed by GitHub
parent 6bc643d2e2
commit 2bd78c39e3
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
examples/training/rehearsal.py
View File

@ -67,7 +67,7 @@ def main(model_name, unlabelled_loc):
pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"] pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions] other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
sizes = compounding(1.0, 4.0, 1.001) sizes = compounding(1.0, 4.0, 1.001)
with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings(): with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
# show warnings for misaligned entity spans once # show warnings for misaligned entity spans once
warnings.filterwarnings("once", category=UserWarning, module='spacy') warnings.filterwarnings("once", category=UserWarning, module='spacy')

2
examples/training/train_ner.py
View File

@ -59,7 +59,7 @@ def main(model=None, output_dir=None, n_iter=100):
pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"] pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions] other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
# only train NER # only train NER
with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings(): with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
# show warnings for misaligned entity spans once # show warnings for misaligned entity spans once
warnings.filterwarnings("once", category=UserWarning, module='spacy') warnings.filterwarnings("once", category=UserWarning, module='spacy')

2
examples/training/train_new_entity_type.py
View File

@ -99,7 +99,7 @@ def main(model=None, new_model_name="animal", output_dir=None, n_iter=30):
pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"] pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions] other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
# only train NER # only train NER
with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings(): with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
# show warnings for misaligned entity spans once # show warnings for misaligned entity spans once
warnings.filterwarnings("once", category=UserWarning, module='spacy') warnings.filterwarnings("once", category=UserWarning, module='spacy')