Matthew Honnibal
f1b86dff8c
Update textcat example
2017-10-04 15:12:28 +02:00
Matthew Honnibal
79a94bc166
Update textcat exampe
2017-10-04 14:55:30 +02:00
Matthew Honnibal
cbb1fbef80
Update train_ner_standalone example
2017-10-03 18:49:38 +02:00
Matthew Honnibal
027a5d8b75
Update train_ner_standalone example
2017-09-15 10:36:46 +02:00
Matthew Honnibal
683d81bb49
Update example for adding entity type
2017-09-14 16:15:59 +02:00
Matthew Honnibal
c16ef0a85c
Clarify train textcat example
2017-07-29 21:59:27 +02:00
Matthew Honnibal
54a539a113
Finish text classifier example
2017-07-23 00:34:12 +02:00
Matthew Honnibal
2bc7d87c70
Add example for training text classifier
2017-07-22 20:15:32 +02:00
ines
992559bf9a
Fix formatting and remove unused imports
2017-06-01 12:47:18 +02:00
Matthew Honnibal
5c30466c95
Update NER training example
2017-05-31 13:42:12 +02:00
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
Matthew Honnibal
0605b95f2e
Merge branch 'master' of https://github.com/explosion/spaCy
2017-04-18 13:48:00 +02:00
Matthew Honnibal
2f84626417
Fix train_new_entity_type example
2017-04-18 13:47:36 +02:00
Ines Montani
734b0a4e4a
Update train_new_entity_type.py
2017-04-16 23:42:16 +02:00
ines
264af6cd17
Add documentation
2017-04-16 20:37:46 +02:00
ines
c7adca58a9
Tidy up example and only save/test if output_directory is not None
2017-04-16 16:55:01 +02:00
Matthew Honnibal
40e3024241
Move standalone NER training script into examples directory
2017-04-15 16:13:42 +02:00
Matthew Honnibal
c729d72fc6
Add new example for training new entity types
2017-04-15 16:11:06 +02:00
Matthew Honnibal
97b83c74dc
WIP on training example
2017-04-14 23:54:27 +02:00
Matthew Honnibal
ab70f6e18d
Update NER training example
2017-01-27 12:27:10 +01:00
Christos Savvopoulos
c19b83f6ae
use model_dir inside of load_model
2016-12-12 20:23:24 +00:00
Christos Savvopoulos
93cf4af701
actually commit load_ner.py
2016-12-12 20:13:33 +00:00
Christos Savvopoulos
ad54a929f8
train_ner should save vocab; add load_ner example
2016-12-12 20:09:49 +00:00
kendricktan
ba8841234a
Fixed training examples
...
Changes:
1. train_ner won't crash if no data directory is not found
2. Fixed train_tagger expected spacy.gold.GoldParse, got list
2016-10-24 16:09:23 +10:00
kendricktan
9877f3298f
updated training examples to v1.1.2
2016-10-24 11:53:33 +10:00
kendricktan
f77b3dc677
Fixed train_parser examples when model_dir isn't None
2016-10-20 23:40:51 +10:00
kendricktan
d817d57219
Fixed train_ner examples when model_dir isn't None
2016-10-20 21:09:07 +10:00
Matthew Honnibal
3fba897e0f
Update train_parser example
2016-10-16 21:41:14 +02:00
Matthew Honnibal
f787cd29fe
Refactor the pipeline classes to make them more consistent, and remove the redundant blank() constructor.
2016-10-16 21:34:57 +02:00
Matthew Honnibal
4e9727b474
Use new words keyword argument in Doc.
2016-10-16 18:16:25 +02:00
Matthew Honnibal
2508117553
Make train_parser example a bit simpler.
2016-10-16 17:58:37 +02:00
Matthew Honnibal
4574fe87c6
Add example for training parser
2016-10-16 17:05:55 +02:00
Matthew Honnibal
01b42c531f
Update train_tagger script
2016-10-16 16:10:23 +02:00
