Matthew Honnibal 2da16adcc2 Add dropout optin for parser and NER ... Dropout can now be specified in the `Parser.update()` method via the `drop` keyword argument, e.g. nlp.entity.update(doc, gold, drop=0.4) This will randomly drop 40% of features, and multiply the value of the others by 1. / 0.4. This may be useful for generalising from small data sets. This commit also patches the examples/training/train_new_entity_type.py example, to use dropout and fix the output (previously it did not output the learned entity).		2017-04-27 13:18:39 +02:00
..
load_ner.py	use model_dir inside of load_model	2016-12-12 20:23:24 +00:00
train_ner.py	Update NER training example	2017-01-27 12:27:10 +01:00
train_ner_standalone.py	Move standalone NER training script into examples directory	2017-04-15 16:13:42 +02:00
train_new_entity_type.py	Add dropout optin for parser and NER	2017-04-27 13:18:39 +02:00
train_parser.py	…
train_tagger.py	train_ner should save vocab; add load_ner example	2016-12-12 20:09:49 +00:00