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Author SHA1 Message Date
ines
e5f47cd82d Update errors 2018-04-03 21:40:29 +02:00
Ines Montani
3141e04822
💫 New system for error messages and warnings (#2163) 
* Add spacy.errors module

* Update deprecation and user warnings

* Replace errors and asserts with new error message system

* Remove redundant asserts

* Fix whitespace

* Add messages for print/util.prints statements

* Fix typo

* Fix typos

* Move CLI messages to spacy.cli._messages

* Add decorator to display error code with message

An implementation like this is nice because it only modifies the string when it's retrieved from the containing class – so we don't have to worry about manipulating tracebacks etc.

* Remove unused link in spacy.about

* Update errors for invalid pipeline components

* Improve error for unknown factories

* Add displaCy warnings

* Update formatting consistency

* Move error message to spacy.errors

* Update errors and check if doc returned by component is None
 2018-04-03 15:50:31 +02:00
Matthew Honnibal
f3b7c5e537 Fix syntax error 2018-03-29 21:50:32 +02:00
Matthew Honnibal
23afa6429f Add input length error, to address #1826 2018-03-29 21:45:26 +02:00
Matthew Honnibal
a7c5ae2beb Avoid forcing a name on empty vectors, and remove print statement 2018-03-28 21:08:58 +02:00
Matthew Honnibal
95a9615221 Fix loading of multiple pre-trained vectors 
This patch addresses #1660, which was caused by keying all pre-trained
vectors with the same ID when telling Thinc how to refer to them. This
meant that if multiple models were loaded that had pre-trained vectors,
errors or incorrect behaviour resulted.

The vectors class now includes a .name attribute, which defaults to:
{nlp.meta['lang']_nlp.meta['name']}.vectors
The vectors name is set in the cfg of the pipeline components under the
key pretrained_vectors. This replaces the previous cfg key
pretrained_dims.

In order to make existing models compatible with this change, we check
for the pretrained_dims key when loading models in from_disk and
from_bytes, and add the cfg key pretrained_vectors if we find it.
 2018-03-28 16:02:59 +02:00
Matthew Honnibal
1f7229f40f Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop" 
This reverts commit c9ba3d3c2d, reversing
changes made to 92c26a35d4.
 2018-03-27 19:23:02 +02:00
Matthew Honnibal
f57bfbccdc Fix non-projective label filtering 2018-03-27 13:41:33 +02:00
Matthew Honnibal
dd54511c4f Pass data as a function in begin_training methods 2018-03-27 09:39:59 +00:00
Matthew Honnibal
bede11b67c
Improve label management in parser and NER (#2108) 
This patch does a few smallish things that tighten up the training workflow a little, and allow memory use during training to be reduced by letting the GoldCorpus stream data properly.

Previously, the parser and entity recognizer read and saved labels as lists, with extra labels noted separately. Lists were used becaue ordering is very important, to ensure that the label-to-class mapping is stable.

We now manage labels as nested dictionaries, first keyed by the action, and then keyed by the label. Values are frequencies. The trick is, how do we save new labels? We need to make sure we iterate over these in the same order they're added. Otherwise, we'll get different class IDs, and the model's predictions won't make sense.

To allow stable sorting, we map the new labels to negative values. If we have two new labels, they'll be noted as having "frequency" -1 and -2. The next new label will then have "frequency" -3. When we sort by (frequency, label), we then get a stable sort.

Storing frequencies then allows us to make the next nice improvement. Previously we had to iterate over the whole training set, to pre-process it for the deprojectivisation. This led to storing the whole training set in memory. This was most of the required memory during training.

To prevent this, we now store the frequencies as we stream in the data, and deprojectivize as we go. Once we've built the frequencies, we can then apply a frequency cut-off when we decide how many classes to make.

Finally, to allow proper data streaming, we also have to have some way of shuffling the iterator. This is awkward if the training files have multiple documents in them. To solve this, the GoldCorpus class now writes the training data to disk in msgpack files, one per document. We can then shuffle the data by shuffling the paths.

This is a squash merge, as I made a lot of very small commits. Individual commit messages below.

* Simplify label management for TransitionSystem and its subclasses

* Fix serialization for new label handling format in parser

* Simplify and improve GoldCorpus class. Reduce memory use, write to temp dir

* Set actions in transition system

* Require thinc 6.11.1.dev4

* Fix error in parser init

* Add unicode declaration

* Fix unicode declaration

* Update textcat test

* Try to get model training on less memory

* Print json loc for now

* Try rapidjson to reduce memory use

* Remove rapidjson requirement

* Try rapidjson for reduced mem usage

* Handle None heads when projectivising

* Stream json docs

* Fix train script

* Handle projectivity in GoldParse

* Fix projectivity handling

* Add minibatch_by_words util from ud_train

* Minibatch by number of words in spacy.cli.train

* Move minibatch_by_words util to spacy.util

* Fix label handling

* More hacking at label management in parser

* Fix encoding in msgpack serialization in GoldParse

* Adjust batch sizes in parser training

* Fix minibatch_by_words

* Add merge_subtokens function to pipeline.pyx

* Register merge_subtokens factory

* Restore use of msgpack tmp directory

* Use minibatch-by-words in train

* Handle retokenization in scorer

* Change back-off approach for missing labels. Use 'dep' label

* Update NER for new label management

* Set NER tags for over-segmented words

* Fix label alignment in gold

* Fix label back-off for infrequent labels

* Fix int type in labels dict key

* Fix int type in labels dict key

* Update feature definition for 8 feature set

* Update ud-train script for new label stuff

* Fix json streamer

* Print the line number if conll eval fails

* Update children and sentence boundaries after deprojectivisation

* Export set_children_from_heads from doc.pxd

* Render parses during UD training

* Remove print statement

* Require thinc 6.11.1.dev6. Try adding wheel as install_requires

* Set different dev version, to flush pip cache

* Update thinc version

* Update GoldCorpus docs

* Remove print statements

* Fix formatting and links [ci skip]
 2018-03-19 02:58:08 +01:00
ines
f3f8bfc367 Add built-in factories for merge_entities and merge_noun_chunks 
Allows adding those components to the pipeline out-of-the-box if they're defined in a model's meta.json. Also allows usage as nlp.add_pipe(nlp.create_pipe('merge_entities')).
 2018-03-15 17:16:54 +01:00
ines
d854f69fe3 Add built-in factories for merge_entities and merge_noun_chunks 
Allows adding those components to the pipeline out-of-the-box if they're defined in a model's meta.json. Also allows usage as nlp.add_pipe(nlp.create_pipe('merge_entities')).
 2018-03-15 00:18:51 +01:00
Aaron Marquez
3765d84d57 Fix issue #1959 2018-02-15 12:51:49 -08:00
Claudiu-Vlad Ursache
e28de12cbd
Ensure files opened in from_disk are closed 
Fixes [issue 1706](https://github.com/explosion/spaCy/issues/1706).
 2018-02-13 20:49:43 +01:00
Motoki Wu
f4a7d1a423 make to sure pass in **cfg to each component when training 2018-01-30 18:29:54 -08:00
ines
4046823699 Only check component in factories if string (see #1911) 2018-01-30 16:29:07 +01:00
ines
ce10d320c4 Fix component check in self.factories (see #1911) 2018-01-30 16:09:37 +01:00
ines
8901814248 Improve error handling if pipeline component is not callable (resolves #1911) 
Also add help message if user accidentally calls nlp.add_pipe() with a string of a built-in component name.
 2018-01-30 15:43:03 +01:00
ines
a31506e060 Fix off-by-one error in nlp.add_pipe(after=name) (fixes #1654) 2017-11-28 20:37:55 +01:00
Ines Montani
6362024cf8
Merge pull request #1645 from GreenRiverRUS/fix_default_meta 
Fixed spaCy version string in default meta
 2017-11-27 11:58:02 +00:00
Vadim Mazaev
59f03ab1d7 Fixed spacy version string in default meta 2017-11-26 23:02:07 +03:00
Matthew Honnibal
8fec7268eb Move string cleanup under a setting flag 2017-11-23 12:19:18 +00:00
Matthew Honnibal
5949777b12 Fix misleading multi-threading docstring 2017-11-23 12:18:59 +00:00
Roman Domrachev
61d28d03e4 Try again to do selective remove cache 2017-11-15 19:11:12 +03:00
Roman Domrachev
505c6a2f2f Completely cleanup tokenizer cache 
Tokenizer cache can have be different keys than string

That modification can slow down tokenizer and need to be measured
 2017-11-15 17:55:48 +03:00
Roman Domrachev
a33d5a068d Try to hold origin data instead of restore it 2017-11-14 22:40:03 +03:00
Roman Domrachev
91e2fa6561 Clean all caches 2017-11-14 21:15:04 +03:00
Roman Domrachev
86ca434c93 Merge github.com:explosion/spaCy 2017-11-14 17:46:22 +03:00
Roman Domrachev
a2745b0e84 StringStore now actually cleaned 
Do not lose docs in ref tracking
 2017-11-14 17:45:50 +03:00
Matthew Honnibal
dd1678eab3
Edit comment 2017-11-11 18:37:08 +01:00
Roman Domrachev
ee60a52ee7 Fix test imports and last batch cleanup 2017-11-11 11:32:16 +03:00
Roman Domrachev
4a6b094e09 Remove unused import 2017-11-11 03:13:05 +03:00
Roman Domrachev
3c600adf23 Try to fix StringStore clean up (see #1506) 2017-11-11 03:11:27 +03:00
Matthew Honnibal
45e0617e61 Allow Language.update to take unicode text and dict objects 2017-11-06 22:07:38 +01:00
Matthew Honnibal
5c85bf3791 Fix missing import 2017-11-06 15:06:27 +01:00
Matthew Honnibal
465adfee94 Remove unused resume_training method, and pass optimizer through 2017-11-06 14:26:00 +01:00
Matthew Honnibal
38109a0e4a Register SentenceSegmenter in Language.factories 2017-11-05 18:45:57 +01:00
Matthew Honnibal
d185927998 Undo harmful pickling hacks on Language class 2017-11-04 23:07:03 +01:00
Matthew Honnibal
2bf21cbe29 Update model after optimising it instead of waiting 2017-11-03 20:20:01 +01:00
ines
5f661a1b3a Remove tensorizer from pre-set pipe_names 2017-11-01 19:48:33 +01:00
ines
bfe17b7df1 Fix begin_training if get_gold_tuples is None 2017-11-01 13:14:31 +01:00
ines
37e62ab0e2 Update vector meta in meta.json 2017-11-01 01:25:09 +01:00
ines
8e02294241 Add vectors to Language.meta 2017-10-30 18:39:48 +01:00
ines
d96e72f656 Tidy up rest 2017-10-27 21:07:59 +02:00
ines
91899d337b Tidy up language, lemmatizer and scorer 2017-10-27 14:40:14 +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
2d6ec99884 Set 'model' as default model name to prevent meta.json errors 2017-10-26 16:12:23 +02:00
Matthew Honnibal
90d1d9b230 Remove obsolete parser code 2017-10-26 13:22:45 +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
ines
1a722dac31 Merge branch 'develop' into feature/disable-pipes 2017-10-25 15:18:18 +02:00
ines
6a00de4f77 Fix check of unexpected pipe names in restore() 2017-10-25 14:56:35 +02:00
ines
7f03932477 Return self on __enter__ 2017-10-25 14:56:16 +02:00
Matthew Honnibal
e70f80f29e Add Language.disable_pipes() 2017-10-25 13:46:41 +02:00
ines
3484174e48 Add Language.path 2017-10-25 11:57:43 +02:00
Matthew Honnibal
65bf5e85bd Improve piping in language.pipe 2017-10-18 21:46:12 +02:00
Matthew Honnibal
e35a83d142 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-10-17 18:22:06 +02:00
Matthew Honnibal
1cc85a89ef Allow reasonably efficient pickling of Language class, using to_bytes() and from_bytes(). 2017-10-17 18:18:49 +02:00
Ines Montani
afa67de7ee Merge pull request #1428 from roanuz/develop 
Fix trailing whitespace and Language.from_disk overwrites
 2017-10-17 16:29:15 +02:00
Anto Binish Kaspar
8f5b60c168 Fix Language.from_disk overwrites the meta.json file. 2017-10-17 17:15:32 +05:30
ines
8ca344712d Add Language.has_pipe method 2017-10-17 11:20:07 +02:00
Matthew Honnibal
2bc06e4b22 Bump rolling buffer size to 10k 2017-10-16 19:38:29 +02:00
Matthew Honnibal
5c14f3f033 Create a rolling buffer for the StringStore in Language.pipe() 2017-10-16 19:22:40 +02:00
Ines Montani
37aa523a8e Merge pull request #1408 from explosion/feature/dot-underscore 
💫 Custom attributes via Doc._, Token._ and Span._
 2017-10-11 18:35:56 +02:00
ines
9620c1a640 Add lemma_lookup to Language defaults 2017-10-11 13:26:05 +02:00
ines
67350fa496 Use better logic for auto-generating component name 
Instances don't have __name__, so we try __class__.__name__ as well,
before giving up and defaulting to repr(component).
 2017-10-10 04:23:05 +02:00
Matthew Honnibal
0384f08218 Trigger nonproj.deprojectivize as a postprocess 2017-10-07 02:00:47 +02:00
ines
e43530269c Update docstrings 2017-10-07 01:04:50 +02:00
ines
2586b61b15 Fix formatting, tidy up and remove unused imports 2017-10-07 00:26:05 +02:00
ines
212c8f0711 Implement new Language methods and pipeline API 2017-10-07 00:25:54 +02:00
Matthew Honnibal
96da86b3e5 Add support for verbose flag to Language 2017-10-03 09:14:57 -05:00
Matthew Honnibal
4ae9ea7684 Remove unused argument in Language 2017-09-26 05:41:35 -05:00
Matthew Honnibal
8716ffe57d Serialize vocab last 2017-09-24 05:01:45 -05:00
Matthew Honnibal
5a7fd0fd36 Fix vector linkage 2017-09-22 20:11:52 -05:00
Matthew Honnibal
4348c479fc Merge pre-trained vectors and noshare patches 2017-09-22 20:07:28 -05:00
Matthew Honnibal
7dc61b3f43 Whitespace 2017-09-22 20:00:50 -05:00
Matthew Honnibal
20193371f5 Don't share CNN, to reduce complexities 2017-09-21 14:59:48 +02:00
Matthew Honnibal
b832f89ff8 Add resume_training function 2017-09-20 19:15:20 -05:00
Matthew Honnibal
c858927271 Copy vectors to GPU on begin training 2017-09-18 18:04:16 -05:00
Matthew Honnibal
43210abacc Resolve fine-tuning conflict 2017-09-17 05:30:04 -05:00
Matthew Honnibal
e37a50a436 Pass documents to tensorizer, not 'features' 2017-09-16 12:46:36 -05:00
Matthew Honnibal
70da88a3a7 Update comment on Language.begin_training 2017-09-14 16:18:30 +02:00
Matthew Honnibal
78a5f842e9 Fix update when update_shared=False 2017-08-20 15:58:34 -05:00
Matthew Honnibal
8875590081 Add optimizer in Language.update if sgd=None 2017-08-20 14:42:07 +02:00
Matthew Honnibal
a3c51a0355 Fix creation of pipeline 2017-08-19 21:58:57 +02:00
Matthew Honnibal
97aabafb5f Document as_tuples keyword arg of Language.pipe 2017-08-19 12:21:33 +02:00
Matthew Honnibal
11c31d285c Restore changes from nn-beam-parser 2017-08-18 22:26:12 +02:00
Matthew Honnibal
52c180ecf5 Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop" 
This reverts commit ea8de11ad5, reversing
changes made to 08e443e083.
 2017-08-14 13:00:23 +02:00
Matthew Honnibal
4363b4aa4a Fix redundant tokvecs updates during update 2017-08-13 12:36:55 +02:00
Matthew Honnibal
0acce0521b Fix Language.update for pipeline 2017-08-06 14:13:03 +02:00
Matthew Honnibal
0eec7c9e9b Fix Language.evaluate 2017-08-06 02:18:31 +02:00
Matthew Honnibal
cc19ea0e7c Add update_tensors flag to Language.update. Experimental, re #1182 2017-08-06 02:17:10 +02:00
Matthew Honnibal
2e00361522 Fix update when 0 docs 2017-08-01 22:10:17 +02:00
Matthew Honnibal
523b0df2c9 Update text classification model 2017-07-25 18:57:59 +02:00
Matthew Honnibal
d8aa721664 Compute Language.meta with a property 2017-07-23 00:50:18 +02:00
Matthew Honnibal
baa3d81c35 Add text categorizer to Language 2017-07-22 01:13:36 +02:00
Matthew Honnibal
836bfa2d0f Add factory for experimental SimilarityHook component 2017-06-05 15:40:22 +02:00
Matthew Honnibal
2479cde446 Support disable keyword in Language.__init__ 2017-06-05 13:13:07 +02:00
Matthew Honnibal
8f8f90b46b Disable labeller if not parsing 2017-06-04 20:18:54 -05:00
Matthew Honnibal
939e8ed567 Add lookup properties for components in Language 2017-06-04 15:52:09 -05:00
Matthew Honnibal
92ae36f84e Improve way noun chunks iterator is looked up 2017-06-04 21:53:39 +02:00
Matthew Honnibal
21eef90dbc Support specifying which GPU 2017-06-03 16:10:23 -05:00
Matthew Honnibal
fea1144e6d Set max batch size in evaluate 2017-06-03 13:31:33 -05:00
ines
a3e4f91f4a Only load vocab if it exists 2017-06-01 14:38:35 +02:00
Matthew Honnibal
33e5ec737f Fix to/from disk methods 2017-05-31 13:43:10 +02:00
Matthew Honnibal
1e6df0a2a1 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-05-29 14:30:12 -05:00
ines
6145fe6a93 Catch all kwargs on Language 2017-05-29 20:43:48 +02:00
Matthew Honnibal
9c9ee24411 Fix broken lambda scoping in Python 2 2017-05-29 13:23:28 -05:00
Matthew Honnibal
aa4c33914b Work on serialization 2017-05-29 08:40:45 -05:00
Matthew Honnibal
7b06bb896e Fix for serialization 2017-05-29 13:42:55 +02:00
Matthew Honnibal
74235587ef Fix to serialization 2017-05-29 13:40:31 +02:00
Matthew Honnibal
59f355d525 Fixes for serialization 2017-05-29 13:38:20 +02:00
Matthew Honnibal
ff26aa6c37 Work on to/from bytes/disk serialization methods 2017-05-29 11:45:45 +02:00
Matthew Honnibal
8a24c60c1e Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-05-28 08:12:05 -05:00
Matthew Honnibal
bc97bc292c Fix __call__ method 2017-05-28 08:11:58 -05:00
Matthew Honnibal
b082f76494 Randomize pipeline order during training 2017-05-27 18:32:21 -05:00
Matthew Honnibal
73a643d32a Don't randomise pipeline for training, and don't update if no gradient 2017-05-27 08:20:13 -05:00
Matthew Honnibal
8af3100143 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-05-26 11:31:41 -05:00
ines
353f0ef8d7 Use disable argument (list) for serialization 2017-05-26 12:33:54 +02:00
Matthew Honnibal
dbf2a4cf57 Update all models on each epoch 2017-05-25 19:46:56 -05:00
Matthew Honnibal
82b11b0320 Remove print statement 2017-05-25 17:15:59 -05:00
Matthew Honnibal
f403c2cd5f Add env opts for optimizer 2017-05-25 11:19:26 -05:00
Matthew Honnibal
8500d9b1da Only train one task per iter, holding grads 2017-05-25 06:47:42 -05:00
Matthew Honnibal
e6cc927ab1 Rearrange multi-task learning 2017-05-24 20:10:54 -05:00
Matthew Honnibal
9adfe9e8fc Don't hold gradient updates in language -- let the parser decide how to batch the updates. 2017-05-23 04:29:10 -05:00
Matthew Honnibal
3959d778ac Revert "Revert "WIP on improving parser efficiency"" 
This reverts commit 532afef4a8.
 2017-05-23 03:06:53 -05:00
Matthew Honnibal
532afef4a8 Revert "WIP on improving parser efficiency" 
This reverts commit bdaac7ab44.
 2017-05-23 03:05:25 -05:00
Matthew Honnibal
bdaac7ab44 WIP on improving parser efficiency 2017-05-23 02:59:31 -05:00
ines
54f04a9fe0 Update API docs with changes in spacy.gold and spacy.language 2017-05-22 12:29:30 +02:00
Matthew Honnibal
9262fc4829 Fix syntax error 2017-05-22 05:14:59 -05:00
Matthew Honnibal
2a5eb9f61e Make nonproj methods top-level functions, instead of class methods 2017-05-22 04:51:08 -05:00
Matthew Honnibal
5738d373d5 Add deprojectivize to pipeline 2017-05-22 04:51:08 -05:00
Matthew Honnibal
8d1e64be69 Add experimental NeuralLabeller 2017-05-22 04:51:08 -05:00
Matthew Honnibal
5db89053aa Merge docstrings 2017-05-21 13:46:23 -05:00
Matthew Honnibal
432b3499b3 Fix memory leak 2017-05-21 13:38:46 -05:00
Matthew Honnibal
4c9202249d Refactor training, to fix memory leak 2017-05-21 09:07:06 -05:00
ines
d82ae9a585 Change "function" to "callable" in docs 2017-05-21 13:17:40 +02:00
Matthew Honnibal
3b7c108246 Pass tokvecs through as a list, instead of concatenated. Also fix padding 2017-05-20 13:23:32 -05:00
Matthew Honnibal
66ea9aebe7 Remove the state argument from Language 2017-05-19 13:25:42 -05:00
ines
2c8c9dc0c9 Update docstrings and API docs for Language 2017-05-19 18:47:24 +02:00
ines
d42bc16868 Update docstrings and API docs for Language class 2017-05-18 23:57:38 +02:00
Matthew Honnibal
c2c825127a Fix use_params and pipe methods 2017-05-18 08:30:59 -05:00
Matthew Honnibal
2713041571 Fix GPU usage in Language 2017-05-18 04:25:19 -05:00
Matthew Honnibal
793430aa7a Get spaCy train command working with neural network 
* Integrate models into pipeline
* Add basic serialization (maybe incorrect)
* Fix pickle on vocab
 2017-05-17 12:04:50 +02:00
Matthew Honnibal
8cf097ca88 Redesign training to integrate NN components 
* Obsolete .parser, .entity etc names in favour of .pipeline
* Components no longer create models on initialization
* Models created by loading method (from_disk(), from_bytes() etc), or
    .begin_training()
* Add .predict(), .set_annotations() methods in components
* Pass state through pipeline, to allow components to share information
    more flexibly.
 2017-05-16 16:17:30 +02:00
Matthew Honnibal
5211645af3 Get data flowing through pipeline. Needs redesign 2017-05-16 11:21:59 +02:00
Matthew Honnibal
a9edb3aa1d Improve integration of NN parser, to support unified training API 2017-05-15 21:53:27 +02:00
Matthew Honnibal
9e167b7bb6 Strip serializer from code 2017-05-09 17:28:50 +02:00
ines
ea5fa46475 Import LEX_ATTRS from lang.lex_attrs 2017-05-09 00:58:10 +02:00
ines
6eb6306843 Fix language data imports 2017-05-08 23:58:31 +02:00
Matthew Honnibal
d0e19267e8 Create directory if missing in save_to_directory 2017-04-23 21:24:43 +02:00
Matthew Honnibal
4d2a659c52 Fix json dump for Python3 2017-04-23 17:05:53 +02:00
ines
ddd5194088 Update Language docs and docstrings 2017-04-17 01:52:13 +02:00
ines
f62b740961 Use compat.json_dumps 2017-04-17 01:46:14 +02:00
ines
8e83f8e2fa Update docstrings 2017-04-17 01:40:26 +02:00
ines
e2299dc389 Ensure path in save_to_directory 2017-04-17 01:40:14 +02:00
Matthew Honnibal
4efd6fb9d6 Fix training 2017-04-16 15:28:27 -05:00
Matthew Honnibal
89a4f262fc Fix training methods 2017-04-16 13:00:37 -05:00
ines
c05ec4b89a Add compat functions and remove old workarounds 
Add ensure_path util function to handle checking instance of path
 2017-04-15 12:11:16 +02:00
ines
d24589aa72 Clean up imports, unused code, whitespace, docstrings 2017-04-15 12:05:47 +02:00
ines
561f2a3eb4 Use consistent formatting for docstrings 2017-04-15 11:59:21 +02:00
Matthew Honnibal
33ba5066eb Refactor Language.end_training, making new save_to_directory method 2017-04-14 23:51:24 +02:00
oeg
010293fb2f fix(typo): Fixes typo in method calling PseudoProjectivity.deprojectivize, failing with new train cli 2017-04-06 17:33:15 +02:00
Matthew Honnibal
47a3ef06a6 Unhack deprojetivization, moving it into pipeline 
Previously the deprojectivize() call was attached to the transition
system, and only called for German. Instead it should be a separate
process, called after the parser. This makes it available for any
language. Closes #898.
 2017-03-31 12:31:50 +02:00
Matthew Honnibal
83ba6c247c Fix init of Language without model 2017-03-26 16:46:00 +02:00
Raphaël Bournhonesque
f332bf05be Remove unused import statements 2017-03-21 21:08:54 +01:00
ines
9605cf39cc Handle default path in Language classes 2017-03-18 12:58:45 +01:00
Matthew Honnibal
8843b84bd1 Merge remote-tracking branch 'origin/develop-downloads' 2017-03-16 12:00:42 -05:00
ines
618ce3b425 Add .meta to Language object 
Allows getting the current model's meta data, e.g.:
nlp = spacy.load('my-model')
print(nlp.meta)
 2017-03-16 17:14:56 +01:00
Matthew Honnibal
b382dc902c Add morph rules in Language 2017-03-15 09:24:40 -05:00
Matthew Honnibal
f70be44746 Use lemmatizer in code, not from downloaded model. 2017-03-15 04:52:50 -05:00
Matthew Honnibal
f71eeef9bb Pass path argument to end_training 2017-03-09 18:42:40 -06:00
Matthew Honnibal
cd33b39a04 Fix 2/3 problem for json save/load 2017-03-08 01:39:13 +01:00
Ines Montani
aa876884f0 Revert "Revert "Merge remote-tracking branch 'origin/master'"" 
This reverts commit fb9d3bb022.
 2017-01-09 13:28:13 +01:00
Matthew Honnibal
3679fb43a3 Fix loading of lemmatizer 2016-12-18 17:34:09 +01:00
Ines Montani
b11d8cd3db Merge remote-tracking branch 'origin/organize-language-data' into organize-language-data 2016-12-18 16:57:12 +01:00
Ines Montani
753068f1d5 Use base language data as default 2016-12-18 16:55:25 +01:00
Ines Montani
bcc1d50d09 Remove trailing whitespace 2016-12-18 16:54:52 +01:00
Matthew Honnibal
44f4f008bd Wire up lemmatizer rules for English 2016-12-18 15:50:09 +01:00
Matthew Honnibal
296d33a4fc Merge branch 'master' of ssh://github.com/explosion/spaCy 2016-11-26 12:36:18 +01:00
Matthew Honnibal
1f6c37c6f5 Fix create_tokenizer when nlp is None 2016-11-26 12:36:04 +01:00
Matthew Honnibal
c7889492f9 Fix model saving error for Python 3 2016-11-25 18:04:30 -06:00
Matthew Honnibal
159e8c46e1 Merge old training fixes with newer state 2016-11-25 09:16:36 -06:00
Matthew Honnibal
a2f55e7015 Pass cfg through loading, for training. 2016-11-25 09:01:20 -06:00
Matthew Honnibal
09f68bc641 Fix Issue #639: stop words in language class not used. This patch is messy, but it's better not to change too much until the language data loading can be properly refactored. 2016-11-24 00:13:55 +01:00
Matthew Honnibal
48e1dc29d4 Fix default path loading. 2016-11-23 23:48:55 +01:00
ExplodingCabbage
6c4f488e89 Fix syntax mistake 2016-11-23 15:12:45 +00:00
Matthew Honnibal
60eb2343ce Only try to load vectors if they exist. 2016-11-23 13:50:24 +01:00
Matthew Honnibal
618ac36093 Fix use of path argument in Language.__init__. Needs to be keyword arg, not positional. 2016-11-23 13:26:34 +01:00
Mark Amery
fbe19680a6 Fix another bug related to Language.__init__'s path parameter 2016-11-20 20:31:34 +00:00
Mark Amery
b0a07c21a0 Fix path param of Language.__init__ always being ignored 
There was an explicitly-declared `path` keyword argument, so 'path'
would never be present in `**overrides`. This line just overwrote
any manually-specified value the user might've passed to the `path`
parameter.
 2016-11-20 16:29:57 +00:00
Matthew Honnibal
22647c2423 Check that patterns aren't null before compiling regex for tokenizer 2016-11-02 20:35:29 +01:00
Matthew Honnibal
f7fee6c24b Check for class-defined make_docs method before assigning one provided as an argument 2016-11-02 19:57:13 +01:00
Matthew Honnibal
b86f8af0c1 Fix doc strings 2016-11-01 12:25:36 +01:00
Matthew Honnibal
cb49189477 Remove dead code 2016-10-26 13:11:07 +02:00
Matthew Honnibal
150e02d72e Fix Issue #566 2016-10-23 20:19:01 +02:00
Matthew Honnibal
739213a8af Fix create_pipeline keyword argument. 2016-10-23 14:24:16 +02:00
Matthew Honnibal
5ec32f5d97 Fix loading of GloVe vectors, to address Issue #541 2016-10-20 18:27:48 +02:00
Matthew Honnibal
d4aaf2752c Fix issue #535: Pipeline elements added even when data not installed. 2016-10-19 19:55:19 +02:00
Matthew Honnibal
1b651db9c5 Fix parser creation in Language class. 2016-10-18 19:36:44 +02:00
Matthew Honnibal
45a6f9b9c7 Fix loading of tagger. 2016-10-18 19:33:04 +02:00
Matthew Honnibal
7d5212f131 Refactor defaults 2016-10-18 16:18:25 +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
ca51f3b77e Use DependencyParser and EntityRecognizer in the Language class. 2016-10-16 17:58:12 +02:00
Matthew Honnibal
a81c5a7abf Fix name of labels keyword to 'actions'. 2016-10-16 12:00:27 +02:00
Matthew Honnibal
8a6b35d266 Delay binding in MakeDoc 2016-10-16 11:41:55 +02:00
Matthew Honnibal
08e9134760 Change default value of path to True 2016-10-15 14:12:54 +02:00
Matthew Honnibal
6d8cb515ac Break the tokenization stage out of the pipeline into a function 'make_doc'. This allows all pipeline methods to have the same signature. 2016-10-14 17:38:29 +02:00
Matthew Honnibal
41f88ce938 Fix dep model loading in parser 2016-10-12 20:26:38 +02:00
Matthew Honnibal
0e2bedc373 Fix default labels for parser and NER 2016-10-12 19:12:40 +02:00
Matthew Honnibal
847a4a4182 Refactor Language, dropping Language.blank() method. 2016-10-12 13:45:58 +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
Matthew Honnibal
eceeaefe53 Fix defaults for Parser and Entity, adding a blank= argument. 2016-09-30 19:56:06 +02:00
Matthew Honnibal
e382e48d9f Temporarily patch handling of defaul templates for tagger. Need to move these to language_data. 2016-09-27 13:21:28 +02:00
Matthew Honnibal
b14b9b096b Return None if /deps directory not present, instead of trying to load the parser. 2016-09-26 18:48:03 +02:00
Matthew Honnibal
0b2d7ae9d6 Fix Entity creation 2016-09-26 15:41:22 +02:00
Matthew Honnibal
2debc4e0a2 Add .blank() method to Parser. Start housing default dep labels and entity types within the Defaults class. 2016-09-26 11:57:54 +02:00
Matthew Honnibal
722199acb8 Add spacy.blank() method, that doesn't load data. Don't try to load data if path is falsey 2016-09-26 11:07:46 +02:00
Matthew Honnibal
7db956133e Move tokenizer data for German into spacy.de.language_data 2016-09-25 15:37:33 +02:00
Matthew Honnibal
95aaea0d3f Refactor so that the tokenizer data is read from Python data, rather than from disk 2016-09-25 14:49:53 +02:00
Matthew Honnibal
fd58f7655a Python 3 compatible basestring 2016-09-24 22:16:43 +02:00
Matthew Honnibal
fd65cf6cbb Finish refactoring data loading 2016-09-24 20:26:17 +02:00
Matthew Honnibal
83e364188c Mostly finished loading refactoring. Design is in place, but doesn't work yet. 2016-09-24 15:42:01 +02:00
Matthew Honnibal
9dc8043a7e Refactor Language to use new Defaults class, and work on revised data loading. We're getting rid of sputnik's weird file-system wrapper, and using pathlib. 2016-09-24 14:08:53 +02:00
Matthew Honnibal
4d7f5468bb * Change Language class to use a .pipeline attribute, instead of having the pipeline hard coded 2016-05-17 16:55:42 +02:00
Matthew Honnibal
0f957dd586 Merge branch 'master' of ssh://github.com/honnibal/spaCy 2016-04-14 10:37:56 +02:00
Matthew Honnibal
61d20de35d * Fix language.py docstring 2016-04-14 10:36:57 +02:00
Henning Peters
ff690f76ba fix loading non-german models 2016-04-12 16:00:56 +02:00
Wolfgang Seeker
03fb498dbe introduce lang field for LexemeC to hold language id 
put noun_chunk logic into iterators.py for each language separately
 2016-03-10 13:01:34 +01:00
Wolfgang Seeker
bc9c62e279 replace Language functions with corresponding orth functions 
implement punctuation functions in orth
 2016-03-09 18:07:37 +01:00
Henning Peters
931c07a609 initial proposal for separate vector package 2016-03-04 11:09:06 +01:00
Matthew Honnibal
a95974ad3f * Fix oov probability 2016-02-06 15:13:55 +01:00
Matthew Honnibal
1ef84a0557 * Merge master into rethinc2 2016-02-05 12:55:59 +01:00
Matthew Honnibal
249dccbe95 * Fix Language.pipe 2016-02-05 12:47:57 +01:00
Matthew Honnibal
af58f273b3 * Fix spacy.language.pipe 2016-02-05 12:20:29 +01:00
Matthew Honnibal
419edfab50 * Use generic flags for the new attributes until they're added 2016-02-04 15:50:54 +01:00
Matthew Honnibal
e5c96c969f * Wire up new attributes 2016-02-04 13:04:58 +01:00
Matthew Honnibal
84b247ef83 * Add a .pipe method, that takes a stream of input, operates on it, and streams the output. Internally, the stream may be buffered, to allow multi-threading. 2016-02-03 02:10:58 +01:00
Matthew Honnibal
fcfc17a164 Merge branch 'master' into rethinc2 2016-02-02 23:05:34 +01:00
Matthew Honnibal
59123443e2 * Check for presence/absence of the different models in Language.end_training 2016-02-02 22:49:55 +01:00
Matthew Honnibal
9e9d4c8706 * Fix stupid error in Language.batch 2016-02-01 09:49:32 +01:00
Matthew Honnibal
98fbdf2856 * Add Language.batch() method, to support multi-threaded jobs 2016-02-01 09:01:13 +01:00
Matthew Honnibal
c4a89d56bd * Automatically register any entity types pre-set on the tokens, so that the NER works with user-given entity types. 2016-01-19 20:09:26 +01:00
Matthew Honnibal
bba0a5e078 * Handle string paths in default_vocab, default_parser, default_entity in Language class 2016-01-18 22:37:24 +01:00
Henning Peters
41ea14a56f fix pickling 2016-01-16 13:23:11 +01:00
Henning Peters
235f094534 untangle data_path/via 2016-01-16 12:23:45 +01:00
Henning Peters
846fa49b2a distinct load() and from_package() methods 2016-01-16 10:00:57 +01:00
Henning Peters
211913d689 add about.py, adapt setup.py 2016-01-15 18:57:01 +01:00
Henning Peters
f8a8f97d25 cleanup 2016-01-15 18:13:37 +01:00
Henning Peters
780cb847c9 add default_model to about 2016-01-15 18:07:15 +01:00
Henning Peters
788f734513 refactored data_dir->via, add zip_safe, add spacy.load() 2016-01-15 18:01:02 +01:00
Henning Peters
bc229790ac integrate with sputnik 2016-01-13 19:46:17 +01:00
Matthew Honnibal
eaf2ad59f1 * Fix use of mock Package object 2015-12-31 04:13:15 +01:00
Matthew Honnibal
a6ba43ecaf * Fix errors in packaging revision 2015-12-29 18:37:26 +01:00
Matthew Honnibal
aec130af56 Use util.Package class for io 
Previous Sputnik integration caused API change: Vocab, Tagger, etc
were loaded via a from_package classmethod, that required a
sputnik.Package instance. This forced users to first create a
sputnik.Sputnik() instance, in order to acquire a Package via
sp.pool().

Instead I've created a small file-system shim, util.Package, which
allows classes to have a .load() classmethod, that accepts either
util.Package objects, or strings. We can later gut the internals
of this and make it a proxy for Sputnik if we need more functionality
that should live in the Sputnik library.

Sputnik is now only used to download and install the data, in
spacy.en.download
 2015-12-29 18:00:48 +01:00
Matthew Honnibal
f5dea1406d * Fix silly mistake in Language.__init__ 2015-12-28 18:48:57 +01:00
Matthew Honnibal
187960606f * Fix pickle problems 2015-12-28 16:54:03 +01:00
Matthew Honnibal
8c7e149ec9 * Replace kwargs argument of Language.__init__ with explicit arguments, to fix pickle bug 2015-12-28 15:56:27 +01:00
Henning Peters
d8d348bb55 allow to specify version constraint within model name 2015-12-18 19:12:08 +01:00
Henning Peters
cfa187aaf0 fix tests 2015-12-18 10:58:02 +01:00
Henning Peters
8359bd4d93 strip data/ from package, friendlier Language invocation, make data_dir backward/forward-compatible 2015-12-18 09:52:55 +01:00
Henning Peters
345dda6f53 small fixes, add package build step 2015-12-07 06:50:26 +01:00
Henning Peters
9027cef3bc access model via sputnik 2015-12-07 06:01:28 +01:00
Matthew Honnibal
3c162dcac3 * Refactor away from the _ml module, to use thinc 4.0. Still some work needs to be done, e.g. to add __reduce__ to the models, more testing, etc. 2015-11-07 03:24:30 +11:00
Matthew Honnibal
adc7bbd6cf * Fix name of like_num in default_lex_attrs 2015-11-04 22:02:47 +11:00
Matthew Honnibal
e96faf29e7 * Rename like_number to like_num, to fix inconsistency re Issue #166 2015-11-04 22:01:44 +11:00
Matthew Honnibal
f18fd8c659 * Fix language.py for change in StringStore load API 2015-10-23 03:48:12 +11:00
Matthew Honnibal
2348a08481 * Load/dump strings with a json file, instead of the hacky strings file we were using. 2015-10-22 21:13:03 +11:00
Matthew Honnibal
9baf0abd59 * Save vocab after training. 2015-10-22 21:09:14 +11:00
Matthew Honnibal
20fd36a0f7 * Very scrappy, likely buggy first-cut pickle implementation, to work on Issue #125: allow pickle for Apache Spark. The current implementation sends stuff to temp files, and does almost nothing to ensure all modifiable state is actually preserved. The Language() instance is a deep tree of extension objects, and if pickling during training, some of the C-data state is hard to preserve. 2015-10-13 13:44:41 +11:00
Matthew Honnibal
a6ced80c0c * Fix Issue #116: Misleading handling of True value in Language.__init__. 2015-09-29 20:54:12 +10:00
Matthew Honnibal
27f988b167 * Remove the vectors option to Vocab, preferring to either load vectors from disk, or set them on the Lexeme objects. 2015-09-15 14:41:48 +10:00
Matthew Honnibal
e13e47e9e5 * Add English stop words 2015-09-14 17:48:51 +10:00
Matthew Honnibal
d9f1fc2112 * Add deprecation warning for unused load_vectors argument. 2015-09-09 14:31:09 +02:00
Matthew Honnibal
534e3dda3c * More work on language independent parsing 2015-08-28 03:44:54 +02:00
Matthew Honnibal
c2307fa9ee * More work on language-generic parsing 2015-08-28 02:02:33 +02:00
Matthew Honnibal
0af139e183 * Tagger training now working. Still need to test load/save of model. Morphology still broken. 2015-08-27 09:16:11 +02:00
Matthew Honnibal
76996f4145 * Hack on generic Language class. Still needs work for morphology, defaults, etc 2015-08-26 19:16:09 +02:00
Matthew Honnibal
f2f699ac18 * Add language base class 2015-08-25 15:37:17 +02:00