Matthew Honnibal
a66a4a4d0f
Replace einsums
2017-05-08 14:46:50 +02:00
Matthew Honnibal
8d2eab74da
Use PretrainableMaxouts
2017-05-08 14:24:55 +02:00
Matthew Honnibal
2e2268a442
Precomputable hidden now working
2017-05-08 11:36:37 +02:00
Matthew Honnibal
10682d35ab
Get pre-computed version working
2017-05-08 00:38:35 +02:00
Matthew Honnibal
35458987e8
Checkpoint -- nearly finished reimpl
2017-05-07 23:05:01 +02:00
Matthew Honnibal
4441866f55
Checkpoint -- nearly finished reimpl
2017-05-07 22:47:06 +02:00
Matthew Honnibal
bdf2dba9fb
WIP on refactor, with hidde pre-computing
2017-05-07 02:02:43 +02:00
Matthew Honnibal
b439e04f8d
Learning smoothly
2017-05-06 20:38:12 +02:00
Matthew Honnibal
08bee76790
Learns things
2017-05-06 18:24:38 +02:00
Matthew Honnibal
bcf4cd0a5f
Learns things
2017-05-06 17:37:36 +02:00
Matthew Honnibal
8e48b58cd6
Gradients look correct
2017-05-06 16:47:15 +02:00
Matthew Honnibal
7e04260d38
Data running through, likely errors in model
2017-05-06 14:22:20 +02:00
Matthew Honnibal
ef4fa594aa
Draft of NN parser, to be tested
2017-05-05 19:20:39 +02:00
Matthew Honnibal
ccaf26206b
Pseudocode for parser
2017-05-04 12:17:59 +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
d2436dc17b
Update fix for Issue #999
2017-04-23 18:14:37 +02:00
Matthew Honnibal
4eef200bab
Persist the actions within spacy.parser.cfg
2017-04-20 17:02:44 +02:00
Matthew Honnibal
137b210bcf
Restore use of FTRL training
2017-04-16 18:02:42 +02:00
Matthew Honnibal
c76cb8af35
Fix training for new labels
2017-04-15 16:11:26 +02:00
Matthew Honnibal
4884b2c113
Refix StepwiseState
2017-04-15 16:00:28 +02:00
Matthew Honnibal
1a98e48b8e
Fix Stepwisestate'
2017-04-15 13:35:01 +02:00
ines
0739ae7b76
Tidy up and fix formatting and imports
2017-04-15 13:05:15 +02:00
Matthew Honnibal
354458484c
WIP on add_label bug during NER training
...
Currently when a new label is introduced to NER during training,
it causes the labels to be read in in an unexpected order. This
invalidates the model.
2017-04-14 23:52:17 +02:00
Matthew Honnibal
49e2de900e
Add costs property to StepwiseState, to show which moves are gold.
2017-04-10 11:37:04 +02:00
Matthew Honnibal
1bb7b4ca71
Add comment
2017-03-31 13:59:19 +02:00
Matthew Honnibal
a9b1f23c7d
Enable regression loss for parser
2017-03-26 09:26:30 -05:00
Matthew Honnibal
a46933a8fe
Clean up FTRL parsing stuff.
2017-03-16 11:58:20 -05:00
Matthew Honnibal
8543db8a5b
Use ftrl optimizer in parser
2017-03-15 11:56:37 -05:00
Matthew Honnibal
d719f8e77e
Use nogil in parser, and set L1 to 0.0 by default
2017-03-15 09:31:01 -05:00
Matthew Honnibal
ca9c8c57c0
Add iteration argument to parser.update
2017-03-11 07:00:47 -06:00
Matthew Honnibal
318b9e32ff
WIP on beam parser. Currently segfaults.
2017-03-11 06:19:52 -06:00
Matthew Honnibal
ecf91a2dbb
Support beam parser
2017-03-10 11:21:21 -06:00
Matthew Honnibal
c62da02344
Use ftrl training, to learn compressed model.
2017-03-09 18:43:21 -06:00
Matthew Honnibal
40703988bc
Use FTRL training in parser
2017-03-08 01:38:51 +01:00
Matthew Honnibal
97a1286129
Revert changes to tagger and parser for thinc 6
2017-01-09 10:08:34 -06:00
Matthew Honnibal
af81ac8bb0
Use thinc 6.0
2016-12-29 11:58:42 +01:00
Matthew Honnibal
159e8c46e1
Merge old training fixes with newer state
2016-11-25 09:16:36 -06:00
Matthew Honnibal
608d8f5421
Pass cfg through parser, and have is_valid default to 1, not 0 when resetting state
2016-11-25 09:00:21 -06:00
Matthew Honnibal
b86f8af0c1
Fix doc strings
2016-11-01 12:25:36 +01:00
Matthew Honnibal
03a520ec4f
Change signature of Parser.parseC, so that nr_class is read from the transition system. This allows the transition system to modify the number of actions in initialize_state.
2016-10-27 17:58:56 +02:00
Matthew Honnibal
3e688e6d4b
Fix issue #514 -- serializer fails when new entity type has been added. The fix here is quite ugly. It's best to add the entities ASAP after loading the NLP pipeline, to mitigate the brittleness.
2016-10-23 17:45:44 +02:00
Matthew Honnibal
59038f7efa
Restore support for prior data format -- specifically, the labels field of the config.
2016-10-17 00:53:26 +02:00
Matthew Honnibal
7887ab3b36
Fix default use of feature_templates in parser
2016-10-16 21:41:56 +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
e8c8aa08ce
Make action_name optional in StepwiseState
2016-10-16 17:04:16 +02:00
Matthew Honnibal
4fc56d4a31
Rename 'labels' to 'actions' in parser options
2016-10-16 11:42:26 +02:00
Matthew Honnibal
d9ae2d68af
Load features by string-name for backwards compatibility.
2016-10-12 20:15:11 +02:00
Matthew Honnibal
3a03c668c3
Fix message in ParserStateError
2016-10-12 14:44:31 +02:00
Matthew Honnibal
6bf505e865
Fix error on ParserStateError
2016-10-12 14:35:55 +02:00
Matthew Honnibal
ea23b64cc8
Refactor training, with new spacy.train module. Defaults still a little awkward.
2016-10-09 12:24:24 +02:00
