spaCy/spacy/pipeline
Sofie Van Landeghem 7b96a5e10f Reduce mem usage in training Entity Linker (#4811)
* move nlp processing for el pipe to batch training instead of preprocessing

* adding dev eval back in, and limit in articles instead of entities

* use pipe whenever possible

* few more small doc changes

* access dev data through generator

* tqdm description

* small fixes

* update documentation
2020-01-06 14:59:50 +01:00
..
__init__.py Merge changes from master 2019-08-21 14:18:52 +02:00
entityruler.py Tidy up and auto-format 2019-12-21 19:04:17 +01:00
functions.py Filter subtoken matches in merge_subtokens() (#4539) 2019-10-28 15:40:28 +01:00
hooks.py Component decorator and component analysis (#4517) 2019-10-27 13:35:49 +01:00
morphologizer.pyx Component decorator and component analysis (#4517) 2019-10-27 13:35:49 +01:00
pipes.pyx Reduce mem usage in training Entity Linker (#4811) 2020-01-06 14:59:50 +01:00