Commit Graph

5574 Commits

Author SHA1 Message Date
Matthew Honnibal
ee4d06fb1b Prevent exceptions from setting POS but not TAG. Closes #1773 2018-12-30 13:16:05 +01:00
Kirill Bulygin
b665a32b95 Enabling tests/lang/ru/test_lemmatizer.py, fixing a unicode issue (#3084)
<!--- Provide a general summary of your changes in the title. -->

## Description

See #3079. Here I'm merging into `develop` instead of `master`.

### Types of change
<!-- What type of change does your PR cover? Is it a bug fix, an enhancement
or new feature, or a change to the documentation? -->

Bug fix.

## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-12-30 12:10:26 +01:00
Álvaro Abella Bascarán
9bc4cc1352 Fix issue 2396 (#3089)
* Test on #2396: bug in Doc.get_lca_matrix()

* reimplementation of Doc.get_lca_matrix(), (closes #2396)

* reimplement Span.get_lca_matrix(), and call it from Doc.get_lca_matrix()

* tests Span.get_lca_matrix() as well as Doc.get_lca_matrix()

* implement _get_lca_matrix as a helper function in doc.pyx; call it from Doc.get_lca_matrix and Span.get_lca_matrix

* use memory view instead of np.ndarray in _get_lca_matrix (faster)

* fix bug when calling Span.get_lca_matrix; return lca matrix as np.array instead of memoryview

* cleaner conditional, add comment
2018-12-29 18:05:52 +01:00
Álvaro Abella Bascarán
6fe276f85d Fix issue 2396 (#3089)
* Test on #2396: bug in Doc.get_lca_matrix()

* reimplementation of Doc.get_lca_matrix(), (closes #2396)

* reimplement Span.get_lca_matrix(), and call it from Doc.get_lca_matrix()

* tests Span.get_lca_matrix() as well as Doc.get_lca_matrix()

* implement _get_lca_matrix as a helper function in doc.pyx; call it from Doc.get_lca_matrix and Span.get_lca_matrix

* use memory view instead of np.ndarray in _get_lca_matrix (faster)

* fix bug when calling Span.get_lca_matrix; return lca matrix as np.array instead of memoryview

* cleaner conditional, add comment
2018-12-29 18:02:26 +01:00
Matthew Honnibal
76e3e695af Allow single string attributes in doc.to_array()
Previously inputs like doc.to_array('ORTH') didn't work.

Closes #3064
2018-12-29 16:24:40 +01:00
Matthew Honnibal
174e85439b
Fix behaviour of Matcher's ? quantifier for v2.1 (#3105)
* Add failing test for matcher bug #3009

* Deduplicate matches from Matcher

* Update matcher ? quantifier test

* Fix bug with ? quantifier in Matcher

The ? quantifier indicates a token may occur zero or one times. If the
token pattern fit, the matcher would fail to consider valid matches
where the token pattern did not fit. Consider a simple regex like:

.?b

If we have the string 'b', the .? part will fit --- but then the 'b' in
the pattern will not fit, leaving us with no match. The same bug left us
with too few matches in some cases. For instance, consider:

.?.?

If we have a string of length two, like 'ab', we actually have three
possible matches here: [a, b, ab]. We were only recovering 'ab'. This
should now be fixed. Note that the fix also uncovered another bug, where
we weren't deduplicating the matches. There are actually two ways we
might match 'a' and two ways we might match 'b': as the second token of the pattern,
or as the first token of the pattern. This ambiguity is spurious, so we
need to deduplicate.

Closes #2464 and #3009

* Fix Python2
2018-12-29 16:18:09 +01:00
Matthew Honnibal
e808bdd076 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-29 13:54:15 +01:00
Jari Bakken
ba8a840f84 spacy.cli.evaluate: fix TypeError (#3101) 2018-12-28 11:14:28 +01:00
Jari Bakken
0546135fba Set vectors.name when updating meta.json during training (#3100)
* Set vectors.name when updating meta.json during training

* add vectors name to meta in `spacy package`
2018-12-27 19:55:40 +01:00
Jari Bakken
cc95167b6d cli.convert: fix typo in converter arguments (#3099) 2018-12-27 18:08:41 +01:00
Jari Bakken
e172f2478e Add three missing tags from the nb tag map (#3085)
* Contributors agreement for jarib

* Add tags from the UD/NORNE dataset that is missing in the nb tag map. Relates to #3082.
2018-12-27 14:48:40 +01:00
Will Price
4a6af0852a Improve random prefix generation in displaCy arcs (#3096)
* Improve random prefix generation in displaCy arcs

* Add @willprice contributor agreement
2018-12-27 14:46:02 +01:00
Özcan Kasal
b573ebca77 trilyon forgotten (#3083)
* trilyon forgotten

* contributor added
2018-12-27 14:44:23 +01:00
Matthew Honnibal
978d8be8f9 Set version to v2.1.0a5 2018-12-21 00:26:39 +01:00
Matthew Honnibal
d3f03b1668 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-21 00:25:57 +01:00
Ines Montani
bb9ad37e05 Improve entry points and allow custom language classes via entry points (#3080)
* Remove check for overwritten factory

This needs to be handled differently – on first initialization, a new factory will be added and any subsequent initializations will trigger this warning, even if it's a new entry point that doesn't overwrite a built-in.

* Add helper to only load specific entry point

Useful for loading languages via entry points, so that they can be lazy-loaded. Otherwise, all entry point languages would have to be loaded upfront.

* Check entry points for custom languages
2018-12-20 23:58:43 +01:00
Matthew Honnibal
f6ac00fab3 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-20 18:45:44 +01:00
Matthew Honnibal
d8d27f9129 Set version to v2.1.0a5.dev0 2018-12-20 18:45:34 +01:00
Ines Montani
ca244f5f84
Small fixes to displaCy (#3076)
## Description
- [x] fix auto-detection of Jupyter notebooks (even if `jupyter=True` isn't set)
- [x] add `displacy.set_render_wrapper` method to define a custom function called around the HTML markup generated in all calls to `displacy.render` (can be used to allow custom integrations, callbacks and page formatting)
- [x] add option to customise host for web server
- [x] show warning if `displacy.serve` is called from within Jupyter notebooks
- [x] move error message to `spacy.errors.Errors`.

### Types of change
enhancement

## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-12-20 17:32:04 +01:00
Matthew Honnibal
f57bea8ab6
💫 Prevent parser from predicting unseen classes (#3075)
The output weights often return negative scores for classes, especially
via the bias terms. This means that when we add a new class, we can't
rely on just zeroing the weights, or we'll end up with positive
predictions for those labels.

To solve this, we use nan values as the initial weights for new labels.
This prevents them from ever coming out on top. During backprop, we
replace the nan values with the minimum assigned score, so that we're
still able to learn these classes.
2018-12-20 16:12:22 +01:00
Matthew Honnibal
9ec9f89b99 💫 Raise better error when using uninitialized pipeline component (#3074)
After creating a component, the `.model` attribute is left with the value `True`, to indicate it should be created later during `from_disk()`, `from_bytes()` or `begin_training()`. This had led to confusing errors if you try to use the component without initializing the model.

To fix this, we add a method `require_model()` to the `Pipe` base class. The `require_model()` method needs to be called at the start of the `.predict()` and `.update()` methods of the components. It raises a `ValueError` if the model is not initialized. An error message has been added to `spacy.errors`.
2018-12-20 15:54:53 +01:00
Muhammad Irfan
2e84ec1513 Fixed ISO code for Urdu. (#3073) 2018-12-20 12:28:53 +01:00
Matthew Honnibal
c315e08e6e Fix formatting of meta.json after spacy package 2018-12-19 14:36:08 +01:00
Matthew Honnibal
e24f94ce39 Fix handling of preset entities. closes #2779 2018-12-19 02:13:31 +01:00
Matthew Honnibal
faa8656582 Port parser fix for large label sets from master 2018-12-19 02:11:26 +01:00
Matthew Honnibal
99a84e4d0e Make ParserModel.resize_output idempotent 2018-12-19 02:10:36 +01:00
Matthew Honnibal
0f83b98afa Remove unused code from spacy pretrain 2018-12-18 19:19:26 +01:00
Ken
5f0c5fbfa4 issue #3012: add test (#3021)
* issue #3012: add test

* add contributor aggreement

* Make test work without models and fix typos

ten.pos_ instead of ten.orth_ and comparison against "10" instead of integer 10
2018-12-18 15:02:49 +01:00
Ines Montani
77a47b2b20 Auto-format 2018-12-18 15:02:11 +01:00
Kirill Bulygin
2fb004832f Fix the first nlp call for ja (closes #2901) (#3065)
* Fix the first `nlp` call for `ja` (closes #2901)

* Add unicode declaration, formatting and use relative import
2018-12-18 15:01:06 +01:00
Kirill Bulygin
10189d9092 Fix the first nlp call for ja (closes #2901) (#3065)
* Fix the first `nlp` call for `ja` (closes #2901)

* Add unicode declaration, formatting and use relative import
2018-12-18 14:53:50 +01:00
Ines Montani
ae880ef912 Tidy up merge conflict leftovers 2018-12-18 13:58:30 +01:00
Ines Montani
61d09c481b Merge branch 'master' into develop 2018-12-18 13:48:10 +01:00
Brixjohn
52f3c95004 Added alpha support for Tagalog language (#3062)
I have added alpha support for the Tagalog language from the Philippines. It is the basis for the country's national language Filipino. I have heavily based the format to the EN and ES languages.

I have provided several words in the lemmatizer lookup table, added stop words from a source, translated numeric words to its Tagalog counterpart, added some tokenizer exceptions, and kept the tag map the same as the English language.

While the alpha language passed the preliminary testing that you provided, I think it needs more data to be useful for most cases.

* Added alpha support for Tagalog language

* Edited contributor template

* Included SCA; Reverted templates

* Fixed SCA template

* Fixed changes in SCA template
2018-12-18 13:08:38 +01:00
Matthew Honnibal
92f4b9c8ea set max batch size to 1000 2018-12-17 23:15:39 +00:00
Matthew Honnibal
3c4a2edf4a Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-17 23:08:40 +00:00
Matthew Honnibal
95fc0176d1 Pass tagger options in begin_training 2018-12-17 23:08:31 +00:00
Matthew Honnibal
7c504b6ddb Try to implement more losses for pretraining
* Try to implement cosine loss
This one seems to be correct? Still unsure, but it performs okay

* Try to implement the von Mises-Fisher loss
This one's definitely not right yet.
2018-12-17 14:48:27 +00:00
Matthew Honnibal
ab4b61fb6e Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-16 20:11:43 +01:00
Matthew Honnibal
9ef30b0cde Accept 'text' in matcher as an alternative to ORTH 2018-12-16 20:10:43 +01:00
Amandine Périnet
361554f629 Lemmatization of Adjectives - French : adding rules and vocabulary (#3045)
* modifying FR lemmatisation for Adjectives

* adding contributor agreement for amperinet

* correcting some errors in vocabulary files
2018-12-16 18:11:07 +01:00
Sofie
c6ad557cea French regular expressions instead of extensive exceptions list (on develop) (#3046) (resolves #2679)
* merge changes of PR 3023 into develop branch instead of master

* further deletions from exception list according to PR 3023
2018-12-16 18:04:55 +01:00
Ines Montani
7bbdffd36e Remove pre-set lemma for "cause" (resolves #2165) 2018-12-14 12:51:18 +01:00
Shooter23
6ae8e49bff Fix docstring for is_right_punct(). (#3044) 2018-12-14 10:11:11 +01:00
Matthew Honnibal
ab9494b2a3 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-12 21:08:50 +00:00
Matthew Honnibal
fb56028476 Remove b1 and b2 decay 2018-12-12 12:37:07 +01:00
Matthew Honnibal
df15279e88 Reduce batch size during pretrain 2018-12-10 15:30:23 +00:00
Matthew Honnibal
83ac227bd3
💫 Better support for semi-supervised learning (#3035)
The new spacy pretrain command implemented BERT/ULMFit/etc-like transfer learning, using our Language Modelling with Approximate Outputs version of BERT's cloze task. Pretraining is convenient, but in some ways it's a bit of a strange solution. All we're doing is initialising the weights. At the same time, we're putting a lot of work into our optimisation so that it's less sensitive to initial conditions, and more likely to find good optima. I discuss this a bit in the pseudo-rehearsal blog post: https://explosion.ai/blog/pseudo-rehearsal-catastrophic-forgetting
Support semi-supervised learning in spacy train

One obvious way to improve these pretraining methods is to do multi-task learning, instead of just transfer learning. This has been shown to work very well: https://arxiv.org/pdf/1809.08370.pdf . This patch makes it easy to do this sort of thing.

    Add a new argument to spacy train, --raw-text. This takes a jsonl file with unlabelled data that can be used in arbitrary ways to do semi-supervised learning.

    Add a new method to the Language class and to pipeline components, .rehearse(). This is like .update(), but doesn't expect GoldParse objects. It takes a batch of Doc objects, and performs an update on some semi-supervised objective.

    Move the BERT-LMAO objective out from spacy/cli/pretrain.py into spacy/_ml.py, so we can create a new pipeline component, ClozeMultitask. This can be specified as a parser or NER multitask in the spacy train command. Example usage:

python -m spacy train en ./tmp ~/data/en-core-web/train/nw.json ~/data/en-core-web/dev/nw.json --pipeline parser --raw-textt ~/data/unlabelled/reddit-100k.jsonl --vectors en_vectors_web_lg --parser-multitasks cloze

Implement rehearsal methods for pipeline components

The new --raw-text argument and nlp.rehearse() method also gives us a good place to implement the the idea in the pseudo-rehearsal blog post in the parser. This works as follows:

    Add a new nlp.resume_training() method. This allocates copies of pre-trained models in the pipeline, setting things up for the rehearsal updates. It also returns an optimizer object. This also greatly reduces confusion around the nlp.begin_training() method, which randomises the weights, making it not suitable for adding new labels or otherwise fine-tuning a pre-trained model.

    Implement rehearsal updates on the Parser class, making it available for the dependency parser and NER. During rehearsal, the initial model is used to supervise the model being trained. The current model is asked to match the predictions of the initial model on some data. This minimises catastrophic forgetting, by keeping the model's predictions close to the original. See the blog post for details.

    Implement rehearsal updates for tagger

    Implement rehearsal updates for text categoriz
2018-12-10 16:25:33 +01:00
Matthew Honnibal
449b889454 Fix KeyError in Vectors.most_similar. Fixes #2648 2018-12-10 16:19:18 +01:00
Matthew Honnibal
90aec6d2f6 Fix vectors for reserved words. Closes #2871 2018-12-10 16:09:49 +01:00
Matthew Honnibal
16fd8dce1d Add get_string_id helper to spacy.strings 2018-12-10 16:09:26 +01:00
Matthew Honnibal
cc1ea03004 Add test for issue #2871 -- vectors for reserved words 2018-12-10 16:09:10 +01:00
Matthew Honnibal
375f0dc529
💫 Make TextCategorizer default to a simpler, GPU-friendly model (#3038)
Currently the TextCategorizer defaults to a fairly complicated model, designed partly around the active learning requirements of Prodigy. The model's a bit slow, and not very GPU-friendly.

This patch implements a straightforward CNN model that still performs pretty well. The replacement model also makes it easy to use the LMAO pretraining, since most of the parameters are in the CNN.

The replacement model has a flag to specify whether labels are mutually exclusive, which defaults to True. This has been a common problem with the text classifier. We'll also now be able to support adding labels to pretrained models again.

Resolves #2934, #2756, #1798, #1748.
2018-12-10 14:37:39 +01:00
Matthew Honnibal
b1c8731b4d Make spacy train respect LOG_FRIENDLY 2018-12-10 09:46:53 +01:00
Matthew Honnibal
6936ca1664 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-10 09:44:07 +01:00
Matthew Honnibal
4405b5c875 Fix resizing edge-case for NER 2018-12-10 06:25:17 +00:00
Matthew Honnibal
0994dc50d8 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-10 05:35:01 +00:00
Matthew Honnibal
24f2e9bc07 Tweak training params 2018-12-09 17:08:58 +00:00
Matthew Honnibal
16c5861d29 Fix NER space constraints
Allow entities to end on spaces, to avoid stumping the oracle when we're
inside an entity, and there's a space just before a correct entity.
2018-12-09 08:06:45 +01:00
Matthew Honnibal
1b1a1af193 Fix printing in spacy train 2018-12-09 06:03:49 +01:00
Matthew Honnibal
d2ac618af1 Set cbb_maxout_pieces=3 2018-12-08 23:27:29 +01:00
Matthew Honnibal
cb16b78b0d Set dropout rate to 0.2 2018-12-08 19:59:11 +01:00
Matthew Honnibal
2c2db0c492 💫 Allow Span to take text label (#3031)
Fixes #3027.

* Allow Span.__init__ to take unicode values for the `label` argument.
* Allow `Span.label_` to be writeable.

- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-12-08 13:08:41 +01:00
Matthew Honnibal
11a29af751 Set cupy.random seed in fix_random_seed helper 2018-12-08 12:37:38 +01:00
Ines Montani
ffdd5e964f
Small CLI improvements (#3030)
* Add todo

* Auto-format

* Update wasabi pin

* Format training results with wasabi

* Remove loading animation from model saving

Currently behaves weirdly

* Inline messages

* Remove unnecessary path2str

Already taken care of by printer

* Inline messages in CLI

* Remove unused function

* Move loading indicator into loading function

* Check for invalid whitespace entities
2018-12-08 11:49:43 +01:00
Matthew Honnibal
8aa7882762
Make NORM a token attribute (#3029)
See #3028. The solution in this patch is pretty debateable.

What we do is give the TokenC struct a .norm field, by repurposing the previously idle .sense attribute. It's nice to repurpose a previous field because it means the TokenC doesn't change size, so even if someone's using the internals very deeply, nothing will break.

The weird thing here is that the TokenC and the LexemeC both have an attribute named NORM. This arguably assists in backwards compatibility. On the other hand, maybe it's really bad! We're changing the semantics of the attribute subtly, so maybe it's better if someone calling lex.norm gets a breakage, and instead is told to write lex.default_norm?

Overall I believe this patch makes the NORM feature work the way we sort of expected it to work. Certainly it's much more like how the docs describe it, and more in line with how we've been directing people to use the norm attribute. We'll also be able to use token.norm to do stuff like spelling correction, which is pretty cool.
2018-12-08 10:49:10 +01:00
Matthew Honnibal
a338c6f8f6 Fix JSON segmentation bug that affected French
Fix a bug in the JSON streaming code that GoldCorpus uses. Escaped
slashes were being handled incorrectly. This bug caused low scores for
French in the early v2.1.0 alphas, because most of the data was not
being read in.

Fittingly, the document that triggered the bug was a Wikipedia article about
Perl. Parsing perl remains difficult!
2018-12-08 10:41:24 +01:00
Matthew Honnibal
b2bfd1e1c8 Move dropout and batch sizes out of global scope in train cmd 2018-12-07 20:54:35 +01:00
Matthew Honnibal
40e0da9cc1 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-07 00:12:22 +00:00
Matthew Honnibal
1e6725e9b7 Try to prevent spaces from being tagged as entities 2018-12-07 00:12:12 +00:00
Matthew Honnibal
427c0693c8 Fix missing comma in init-model command 2018-12-06 22:48:31 +01:00
Amandine Périnet
0b44ea23bd Lemmatization of Nouns - French : adding rules and vocabulary (#2992)
* modifying FR lemmatization for nouns

* modifying FR lemmatization for nouns

* adding contributor agreement for amperinet

* adding rules for words with inclusive parentheses wrongly tokenized

* adding contributor agreement for amperinet

* adding a missing comma
2018-12-06 22:42:18 +01:00
Matthew Honnibal
d896fbca62 Fix batch size in parser.pipe 2018-12-06 21:45:56 +01:00
Matthew Honnibal
bb3304a4f1 Fix pickle tests 2018-12-06 20:46:36 +01:00
Matthew Honnibal
e619f45287 Fix pickle tests 2018-12-06 20:43:47 +01:00
Matthew Honnibal
0a60726215 Remove cytoolz usage in CLI 2018-12-06 20:37:00 +01:00
Matthew Honnibal
c0af627f32 Fix dill usage in vocab 2018-12-06 18:53:16 +01:00
Matthew Honnibal
9520489225 Fix removabl of dill (for srsly) 2018-12-06 18:46:09 +01:00
Matthew Honnibal
711f108532 Fix cytoolz import cytoolz 2018-12-06 16:04:12 +01:00
Gavriel Loria
9c8c4287bf Accept iob2 and allow generic whitespace (#2999)
* accept non-pipe whitespace as delimiter; allow iob2 filename

* added small documentation note for IOB2 allowance

* added contributor agreement
2018-12-06 15:50:25 +01:00
Amandine Périnet
2457318b7a Lemmatization of Verbs - French : adding rules and vocabulary (#3006)
* updating rules and vocabulary for French lemmatization of verbs

* updating the file with French auxiliary verb

* updating rules and vocabulary for French lemmatization of verbs

* adding contributor agreement for amperinet

* adding rules for words with inclusive parentheses wrongly tokenized
2018-12-06 15:49:28 +01:00
Beate Sildnes
f0d7e206ec Updated wordforms for Norwegian lemmatizer (#3007)
* Updated wordforms for Norwegian lemmatizer

Upload of updated lists of wordforms for the Norwegian lemmatizer (nouns, verbs, adverbs, adjectives and lookup).

* Add spaCy contributor agreement for user beatesi

*  Updated wordforms for Norwegian lemmatizer
2018-12-06 15:46:18 +01:00
Matthew Honnibal
cabaadd793
Fix build error from bad import
Thinc v7.0.0.dev6 moved FeatureExtracter around and didn't add a compatibility import.
2018-12-06 15:12:39 +01:00
Matthew Honnibal
ea00dbaaa4 Remove usage of itertools.islice 2018-12-03 02:43:03 +01:00
Matthew Honnibal
c7b33b24f1 Fix conflict 2018-12-03 02:20:20 +01:00
Matthew Honnibal
2402ef498b Remove unused import 2018-12-03 02:19:23 +01:00
Matthew Honnibal
1c71fdb805 Remove cytoolz usage from spaCy 2018-12-03 02:19:12 +01:00
Ines Montani
5b2741f751 Remove unused cytoolz / itertools imports 2018-12-03 02:12:07 +01:00
Matthew Honnibal
a7b085ae46 Set version back to 2.1.0a4 2018-12-03 02:03:26 +01:00
Matthew Honnibal
8e9a4d2f5e Increment version to 2.1.0a5 2018-12-03 01:59:50 +01:00
Ines Montani
f37863093a 💫 Replace ujson, msgpack and dill/pickle/cloudpickle with srsly (#3003)
Remove hacks and wrappers, keep code in sync across our libraries and move spaCy a few steps closer to only depending on packages with binary wheels 🎉

See here: https://github.com/explosion/srsly

    Serialization is hard, especially across Python versions and multiple platforms. After dealing with many subtle bugs over the years (encodings, locales, large files) our libraries like spaCy and Prodigy have steadily grown a number of utility functions to wrap the multiple serialization formats we need to support (especially json, msgpack and pickle). These wrapping functions ended up duplicated across our codebases, so we wanted to put them in one place.

    At the same time, we noticed that having a lot of small dependencies was making maintainence harder, and making installation slower. To solve this, we've made srsly standalone, by including the component packages directly within it. This way we can provide all the serialization utilities we need in a single binary wheel.

    srsly currently includes forks of the following packages:

        ujson
        msgpack
        msgpack-numpy
        cloudpickle



* WIP: replace json/ujson with srsly

* Replace ujson in examples

Use regular json instead of srsly to make code easier to read and follow

* Update requirements

* Fix imports

* Fix typos

* Replace msgpack with srsly

* Fix warning
2018-12-03 01:28:22 +01:00
Matthew Honnibal
40a273245c Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-12-01 14:43:29 +01:00
Matthew Honnibal
d9d339186b Fix dropout and batch-size defaults 2018-12-01 13:42:35 +00:00
Matthew Honnibal
9536ee787c Add comma deletion to data noising 2018-12-01 13:42:18 +00:00
Matthew Honnibal
21ee1c7a17 Improve parser multi-task objective 2018-12-01 13:41:24 +00:00
Matthew Honnibal
fe7d6f36b1 Fix parser default 2018-12-01 13:41:04 +00:00
Matthew Honnibal
a31d557f2d Set version to v2.1.0a4 2018-12-01 14:40:03 +01:00
Ines Montani
5c966d0874 Simplify function 2018-12-01 04:59:12 +01:00
Ines Montani
ce7eec846b Move CLi-specific Markdown helper to CLI 2018-12-01 04:55:48 +01:00
Ines Montani
40ae499f32 Remove unused helper function
Now imported from wasabi
2018-12-01 04:54:46 +01:00