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149 Commits

Author SHA1 Message Date
Matthew Honnibal c27c82d5f9 Fix serialization 2017-11-08 13:08:48 +01:00
Matthew Honnibal 072ff38a01 Try to fix python3.5 serialization 2017-11-08 12:10:49 +01:00
Matthew Honnibal dd90fe09f5 Remove extraneous label from textcat class 2017-11-06 22:09:02 +01:00
Matthew Honnibal 8fea512ac8 Don't set tensor in textcat 2017-11-06 19:20:14 +01:00
Matthew Honnibal 75e1618ec3 Fix lemma clobbering 2017-11-06 16:56:19 +01:00
Matthew Honnibal 25859dbb48 Return optimizer from begin_training, creating if necessary 2017-11-06 14:26:49 +01:00
Matthew Honnibal 31babe3c3f Fix non-clobbering lemmatization 2017-11-06 12:36:05 +01:00
Matthew Honnibal 2b35bb76ad Fix tensorizer on GPU 2017-11-05 15:34:40 +01:00
uwol a2162b8908 tensorizer return parameter fix 2017-11-05 12:25:10 +01:00
Matthew Honnibal 17c63906f9 Update tensorizer component 2017-11-03 20:20:26 +01:00
Matthew Honnibal 6681058abd Fix tensor extending in tagger 2017-11-03 13:29:36 +01:00
Matthew Honnibal d6fc39c8a6 Set Doc.tensor from Tagger 2017-11-03 11:20:05 +01:00
Matthew Honnibal b30dd36179 Allow Tagger.add_label() before training 2017-11-01 21:49:24 +01:00
Matthew Honnibal b84d99b281 Revert tagger.add_label() changes, to fix model 2017-11-01 21:10:45 +01:00
Matthew Honnibal f5855e539b Fix tagger model loading 2017-11-01 20:42:36 +01:00
Matthew Honnibal 190522efd3 Fix tagger when some tags aren't in Morphology 2017-11-01 19:27:49 +01:00
Matthew Honnibal 7ae1aacdb8 Fix add_label methods 2017-11-01 17:06:43 +01:00
Matthew Honnibal e7a9174877 Add add_label methods to Tagger and TextCategorizer 2017-11-01 16:32:44 +01:00
ines ba5e646219 Tidy up pipeline 2017-10-27 20:29:08 +02:00
Ines Montani 4033e70c71 Merge pull request #1461 from explosion/feature/disable-pipes 
💫 Add Language.disable_pipes(), to temporarily edit pipeline and update code examples
 2017-10-27 12:21:40 +02:00
ines 9e372913e0 Remove old 'SP' condition in tag map 2017-10-26 16:11:57 +02:00
Matthew Honnibal a8abc47811 Rename BaseThincComponent --> Pipe 2017-10-26 12:40:40 +02:00
Matthew Honnibal b0f3ea2200 Fix names of pipeline components 
NeuralDependencyParser --> DependencyParser
NeuralEntityRecognizer --> EntityRecognizer
TokenVectorEncoder     --> Tensorizer
NeuralLabeller         --> MultitaskObjective
 2017-10-26 12:38:23 +02:00
Matthew Honnibal ed8da9b11f Add missing return statement in SentenceSegmenter 2017-10-17 15:32:56 +02:00
Matthew Honnibal 09d61ada5e Merge pull request #1396 from explosion/feature/pipeline-management 
💫 Improve pipeline and factory management
 2017-10-10 04:29:54 +02:00
Matthew Honnibal 8978212ee5 Patch serialization bug raised in #1105 2017-10-10 03:58:12 +02:00
Matthew Honnibal 0384f08218 Trigger nonproj.deprojectivize as a postprocess 2017-10-07 02:00:47 +02:00
Matthew Honnibal 563f46f026 Fix multi-label support for text classification 
The TextCategorizer class is supposed to support multi-label
text classification, and allow training data to contain missing
values.

For this to work, the gradient of the loss should be 0 when labels
are missing. Instead, there was no way to actually denote "missing"
in the GoldParse class, and so the TextCategorizer class treated
the label set within gold.cats as complete.

To fix this, we change GoldParse.cats to be a dict instead of a list.
The GoldParse.cats dict should map to floats, with 1. denoting
'present' and 0. denoting 'absent'. Gradients are zeroed for categories
absent from the gold.cats dict. A nice bonus is that you can also set
values between 0 and 1 for partial membership. You can also set numeric
values, if you're using a text classification model that uses an
appropriate loss function.

Unfortunately this is a breaking change; although the functionality
was only recently introduced and hasn't been properly documented
yet. I've updated the example script accordingly.
 2017-10-05 18:43:02 -05:00
Matthew Honnibal 5454b20cd7 Update thinc imports for 6.9 2017-10-03 20:07:17 +02:00
Matthew Honnibal 4a59f6358c Fix thinc imports 2017-10-03 19:21:26 +02:00
Matthew Honnibal 66c388ee01 Remove unhelpful multitask objectives 2017-09-27 11:44:16 -05:00
Matthew Honnibal 983201a83a Fix hard-coded vector width 2017-09-27 11:43:58 -05:00
Matthew Honnibal defb68e94f Update feature/noshare with recent develop changes 2017-09-26 08:15:14 -05:00
Matthew Honnibal ca28590ddd Use dep and ent multi-task objectives for parser' 2017-09-26 08:13:52 -05:00
Matthew Honnibal 18a27c7579 Fix typo in tensorizer serialization 2017-09-26 06:45:14 -05:00
Matthew Honnibal bf917225ab Allow multi-task objectives during training 2017-09-26 05:42:52 -05:00
ines d2d35b63b7 Fix formatting 2017-09-25 18:37:13 +02:00
Matthew Honnibal 8eb0b7b779 Add docstrings for Pipe API 2017-09-25 16:22:07 +02:00
Matthew Honnibal 39f390dba7 Add docstrings for Pipe API 2017-09-25 16:20:49 +02:00
Matthew Honnibal 4348c479fc Merge pre-trained vectors and noshare patches 2017-09-22 20:07:28 -05:00
Matthew Honnibal 386c1a5bd8 Fix tagger training 2017-09-23 02:58:06 +02:00
Matthew Honnibal 05596159bf Fix serialization when pre-trained vectors 2017-09-22 15:33:27 -05:00
Matthew Honnibal d9124f1aa3 Add link_vectors_to_models function 2017-09-22 09:38:22 -05:00
Matthew Honnibal 40a4873b70 Fix serialization of model options 2017-09-21 13:07:26 -05:00
Matthew Honnibal 20193371f5 Don't share CNN, to reduce complexities 2017-09-21 14:59:48 +02:00
Matthew Honnibal 24e85c2048 Pass values for CNN maxout pieces option 2017-09-20 19:16:12 -05:00
Matthew Honnibal b36a38f63d Fix serialization of pretrained_dims property 2017-09-19 23:42:27 +02:00
Matthew Honnibal 40837b275d Fix tensorizer with pretrained vectors 2017-09-18 18:05:38 -05:00
Matthew Honnibal 84e637e2e6 Pass option for pretrained vectors in pipeline 2017-09-16 12:46:02 -05:00
Matthew Honnibal 7fdafcc4c4 Fix config loading in tagger 2017-09-04 16:38:49 +02:00