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28 Commits

Author SHA1 Message Date
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