Commit Graph

493 Commits

Author SHA1 Message Date
Matthew Honnibal
808ae7521b Require thinc 7.0.1 2019-02-16 17:29:57 +01:00
Matthew Honnibal
eea3001b98 Depend on thinc 7.0.1.dev2 2019-02-16 17:02:30 +01:00
Matthew Honnibal
f456b673d4 Require thinc 7.0.1.dev1 2019-02-16 16:22:26 +01:00
Matthew Honnibal
11e826ac3b Require thinc v7.0.1.dev0 2019-02-16 15:47:02 +01:00
Matthew Honnibal
4c49f5f7b0 Update Thinc dependency 2019-02-15 12:39:08 +01:00
Matthew Honnibal
bed956c698 Drop regex dependency 2019-02-13 23:08:22 +11:00
Ines Montani
a9f8d17632
💫 Break up large pipeline.pyx (#3246)
* Break up large pipeline.pyx

* Merge some components back together

* Fix typo
2019-02-10 12:14:51 +01:00
Ines Montani
5d0b60999d Merge branch 'master' into develop 2019-02-07 20:54:07 +01:00
Ines Montani
1ea4df459d 💫 Break up large matcher.pyx (#3236)
* Break up large matcher.pyx

* Remove unused function
2019-02-07 19:42:25 +11:00
Paul Ganssle
021d04069a Build metadata modernization - pyproject.toml and python_requires (#3167)
* Added pyproject.toml

This adds the build requirements metadata to the repo, which can be used
with any build tools that implement PEP 517 and PEP 518 (e.g. pip, tox).
It is no longer necessary to have the build dependencies installed when
installing from source.

* Add python_requires for 2.7, 3.4+

This directive specifies in the build metadata which version of CPython
is supported by this version of spaCy, which pip will take into account
when determining what version to download. This will allow you to safely
drop old versions of Python without `pip install spaCy` breaking for those
versions.

* Add Python 3.7 to the trove classifiers
2019-01-16 17:42:09 +01:00
Mathieu Morey
f07b577fbd Support CUDA 10 (#3126)
* ENH support CUDA 10

* Update _instructions.jade
2019-01-09 03:10:45 +01:00
Matthew Honnibal
b7ce85a6f3 Fix packaging of json schemas 2018-12-19 13:54:02 +01:00
Matthew Honnibal
35ff889852 Fix OSX wheel building 2018-12-19 13:14:57 +01:00
Matthew Honnibal
a2b75036e9 Try to make sure json schemas are packaged 2018-12-19 01:08:51 +01:00
Ines Montani
61d09c481b Merge branch 'master' into develop 2018-12-18 13:48:10 +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
Paul O'Leary McCann
7dd21b66d5 Extras require mecab (#3024)
* Add note that Unidic is required for Japanese

This addresses #3001. -POLM

* Add extras_require for mecab with old version

Related to issue #3018.

* mecab → ja

Co-Authored-By: polm <polm@dampfkraft.com>
2018-12-08 06:34:49 +01:00
Matthew Honnibal
8f6555df4e Update requirements 2018-12-04 00:07:28 +01:00
Matthew Honnibal
378ca4b46d Fix OSX build problem 2018-12-04 00:06:42 +01:00
Ines Montani
ee4733b48c Update srsly version pin 2018-12-03 02:10:37 +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
Justin DuJardin
33fca8672f fix issue compiling the latest spacy on MacOS 10.3.6 (#2998) 2018-12-02 05:51:11 +01:00
Matthew Honnibal
b47bd6a27f Update thinc version 2018-12-02 03:57:19 +01:00
Matthew Honnibal
fa617997de Fix Thinc pin 2018-12-01 15:27:44 +01:00
Matthew Honnibal
05b2336ffa Try again to fix OSX build 2018-12-01 03:12:21 +01:00
Matthew Honnibal
4895b2e830 Merge branch 'master' of https://github.com/explosion/spaCy 2018-12-01 02:37:21 +01:00
Matthew Honnibal
3f16af123e Try to fix OSX build error 2018-12-01 02:36:56 +01:00
Matthew Honnibal
61abb1ef70 Remove msgpack dependency, to try to fix #2995 2018-12-01 02:36:41 +01:00
Ines Montani
37c7c85a86 💫 New JSON helpers, training data internals & CLI rewrite (#2932)
* Support nowrap setting in util.prints

* Tidy up and fix whitespace

* Simplify script and use read_jsonl helper

* Add JSON schemas (see #2928)

* Deprecate Doc.print_tree

Will be replaced with Doc.to_json, which will produce a unified format

* Add Doc.to_json() method (see #2928)

Converts Doc objects to JSON using the same unified format as the training data. Method also supports serializing selected custom attributes in the doc._. space.

* Remove outdated test

* Add write_json and write_jsonl helpers

* WIP: Update spacy train

* Tidy up spacy train

* WIP: Use wasabi for formatting

* Add GoldParse helpers for JSON format

* WIP: add debug-data command

* Fix typo

* Add missing import

* Update wasabi pin

* Add missing import

* 💫 Refactor CLI (#2943)

To be merged into #2932.

## Description
- [x] refactor CLI To use [`wasabi`](https://github.com/ines/wasabi)
- [x] use [`black`](https://github.com/ambv/black) for auto-formatting
- [x] add `flake8` config
- [x] move all messy UD-related scripts to `cli.ud`
- [x] make converters function that take the opened file and return the converted data (instead of having them handle the IO)

### 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.

* Update wasabi pin

* Delete old test

* Update errors

* Fix typo

* Tidy up and format remaining code

* Fix formatting

* Improve formatting of messages

* Auto-format remaining code

* Add tok2vec stuff to spacy.train

* Fix typo

* Update wasabi pin

* Fix path checks for when train() is called as function

* Reformat and tidy up pretrain script

* Update argument annotations

* Raise error if model language doesn't match lang

* Document new train command
2018-11-30 20:16:14 +01:00
Ines Montani
d33953037e
💫 Port master changes over to develop (#2979)
* Create aryaprabhudesai.md (#2681)

* Update _install.jade (#2688)

Typo fix: "models" -> "model"

* Add FAC to spacy.explain (resolves #2706)

* Remove docstrings for deprecated arguments (see #2703)

* When calling getoption() in conftest.py, pass a default option (#2709)

* When calling getoption() in conftest.py, pass a default option

This is necessary to allow testing an installed spacy by running:

  pytest --pyargs spacy

* Add contributor agreement

* update bengali token rules for hyphen and digits (#2731)

* Less norm computations in token similarity (#2730)

* Less norm computations in token similarity

* Contributor agreement

* Remove ')' for clarity (#2737)

Sorry, don't mean to be nitpicky, I just noticed this when going through the CLI and thought it was a quick fix. That said, if this was intention than please let me know.

* added contributor agreement for mbkupfer (#2738)

* Basic support for Telugu language (#2751)

* Lex _attrs for polish language (#2750)

* Signed spaCy contributor agreement

* Added polish version of english lex_attrs

* Introduces a bulk merge function, in order to solve issue #653 (#2696)

* Fix comment

* Introduce bulk merge to increase performance on many span merges

* Sign contributor agreement

* Implement pull request suggestions

* Describe converters more explicitly (see #2643)

* Add multi-threading note to Language.pipe (resolves #2582) [ci skip]

* Fix formatting

* Fix dependency scheme docs (closes #2705) [ci skip]

* Don't set stop word in example (closes #2657) [ci skip]

* Add words to portuguese language _num_words (#2759)

* Add words to portuguese language _num_words

* Add words to portuguese language _num_words

* Update Indonesian model (#2752)

* adding e-KTP in tokenizer exceptions list

* add exception token

* removing lines with containing space as it won't matter since we use .split() method in the end, added new tokens in exception

* add tokenizer exceptions list

* combining base_norms with norm_exceptions

* adding norm_exception

* fix double key in lemmatizer

* remove unused import on punctuation.py

* reformat stop_words to reduce number of lines, improve readibility

* updating tokenizer exception

* implement is_currency for lang/id

* adding orth_first_upper in tokenizer_exceptions

* update the norm_exception list

* remove bunch of abbreviations

* adding contributors file

* Fixed spaCy+Keras example (#2763)

* bug fixes in keras example

* created contributor agreement

* Adding French hyphenated first name (#2786)

* Fix typo (closes #2784)

* Fix typo (#2795) [ci skip]

Fixed typo on line 6 "regcognizer --> recognizer"

* Adding basic support for Sinhala language. (#2788)

* adding Sinhala language package, stop words, examples and lex_attrs.

* Adding contributor agreement

* Updating contributor agreement

* Also include lowercase norm exceptions

* Fix error (#2802)

* Fix error
ValueError: cannot resize an array that references or is referenced
by another array in this way.  Use the resize function

* added spaCy Contributor Agreement

* Add charlax's contributor agreement (#2805)

* agreement of contributor, may I introduce a tiny pl languge contribution (#2799)

* Contributors agreement

* Contributors agreement

* Contributors agreement

* Add jupyter=True to displacy.render in documentation (#2806)

* Revert "Also include lowercase norm exceptions"

This reverts commit 70f4e8adf3.

* Remove deprecated encoding argument to msgpack

* Set up dependency tree pattern matching skeleton (#2732)

* Fix bug when too many entity types. Fixes #2800

* Fix Python 2 test failure

* Require older msgpack-numpy

* Restore encoding arg on msgpack-numpy

* Try to fix version pin for msgpack-numpy

* Update Portuguese Language (#2790)

* Add words to portuguese language _num_words

* Add words to portuguese language _num_words

* Portuguese - Add/remove stopwords, fix tokenizer, add currency symbols

* Extended punctuation and norm_exceptions in the Portuguese language

* Correct error in spacy universe docs concerning spacy-lookup (#2814)

* Update Keras Example for (Parikh et al, 2016) implementation  (#2803)

* bug fixes in keras example

* created contributor agreement

* baseline for Parikh model

* initial version of parikh 2016 implemented

* tested asymmetric models

* fixed grevious error in normalization

* use standard SNLI test file

* begin to rework parikh example

* initial version of running example

* start to document the new version

* start to document the new version

* Update Decompositional Attention.ipynb

* fixed calls to similarity

* updated the README

* import sys package duh

* simplified indexing on mapping word to IDs

* stupid python indent error

* added code from https://github.com/tensorflow/tensorflow/issues/3388 for tf bug workaround

* Fix typo (closes #2815) [ci skip]

* Update regex version dependency

* Set version to 2.0.13.dev3

* Skip seemingly problematic test

* Remove problematic test

* Try previous version of regex

* Revert "Remove problematic test"

This reverts commit bdebbef455.

* Unskip test

* Try older version of regex

* 💫 Update training examples and use minibatching (#2830)

<!--- Provide a general summary of your changes in the title. -->

## Description
Update the training examples in `/examples/training` to show usage of spaCy's `minibatch` and `compounding` helpers ([see here](https://spacy.io/usage/training#tips-batch-size) for details). The lack of batching in the examples has caused some confusion in the past, especially for beginners who would copy-paste the examples, update them with large training sets and experienced slow and unsatisfying results.

### Types of change
enhancements

## 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.

* Visual C++ link updated (#2842) (closes #2841) [ci skip]

* New landing page

* Add contribution agreement

* Correcting lang/ru/examples.py (#2845)

* Correct some grammatical inaccuracies in lang\ru\examples.py; filled Contributor Agreement

* Correct some grammatical inaccuracies in lang\ru\examples.py

* Move contributor agreement to separate file

* Set version to 2.0.13.dev4

* Add Persian(Farsi) language support (#2797)

* Also include lowercase norm exceptions

* Remove in favour of https://github.com/explosion/spaCy/graphs/contributors

* Rule-based French Lemmatizer (#2818)

<!--- Provide a general summary of your changes in the title. -->

## Description
<!--- Use this section to describe your changes. If your changes required
testing, include information about the testing environment and the tests you
ran. If your test fixes a bug reported in an issue, don't forget to include the
issue number. If your PR is still a work in progress, that's totally fine – just
include a note to let us know. -->

Add a rule-based French Lemmatizer following the english one and the excellent PR for [greek language optimizations](https://github.com/explosion/spaCy/pull/2558) to adapt the Lemmatizer class.

### 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? -->

- Lemma dictionary used can be found [here](http://infolingu.univ-mlv.fr/DonneesLinguistiques/Dictionnaires/telechargement.html), I used the XML version.
- Add several files containing exhaustive list of words for each part of speech 
- Add some lemma rules
- Add POS that are not checked in the standard Lemmatizer, i.e PRON, DET, ADV and AUX
- Modify the Lemmatizer class to check in lookup table as a last resort if POS not mentionned
- Modify the lemmatize function to check in lookup table as a last resort
- Init files are updated so the model can support all the functionalities mentioned above
- Add words to tokenizer_exceptions_list.py in respect to regex used in tokenizer_exceptions.py

## 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.

* Set version to 2.0.13

* Fix formatting and consistency

* Update docs for new version [ci skip]

* Increment version [ci skip]

* Add info on wheels [ci skip]

* Adding "This is a sentence" example to Sinhala (#2846)

* Add wheels badge

* Update badge [ci skip]

* Update README.rst [ci skip]

* Update murmurhash pin

* Increment version to 2.0.14.dev0

* Update GPU docs for v2.0.14

* Add wheel to setup_requires

* Import prefer_gpu and require_gpu functions from Thinc

* Add tests for prefer_gpu() and require_gpu()

* Update requirements and setup.py

* Workaround bug in thinc require_gpu

* Set version to v2.0.14

* Update push-tag script

* Unhack prefer_gpu

* Require thinc 6.10.6

* Update prefer_gpu and require_gpu docs [ci skip]

* Fix specifiers for GPU

* Set version to 2.0.14.dev1

* Set version to 2.0.14

* Update Thinc version pin

* Increment version

* Fix msgpack-numpy version pin

* Increment version

* Update version to 2.0.16

* Update version [ci skip]

* Redundant ')' in the Stop words' example (#2856)

<!--- Provide a general summary of your changes in the title. -->

## Description
<!--- Use this section to describe your changes. If your changes required
testing, include information about the testing environment and the tests you
ran. If your test fixes a bug reported in an issue, don't forget to include the
issue number. If your PR is still a work in progress, that's totally fine – just
include a note to let us know. -->

### 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? -->

## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [ ] I have submitted the spaCy Contributor Agreement.
- [ ] 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.

* Documentation improvement regarding joblib and SO (#2867)

Some documentation improvements

## Description
1. Fixed the dead URL to joblib
2. Fixed Stack Overflow brand name (with space)

### Types of change
Documentation

## 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.

* raise error when setting overlapping entities as doc.ents (#2880)

* Fix out-of-bounds access in NER training

The helper method state.B(1) gets the index of the first token of the
buffer, or -1 if no such token exists. Normally this is safe because we
pass this to functions like state.safe_get(), which returns an empty
token. Here we used it directly as an array index, which is not okay!

This error may have been the cause of out-of-bounds access errors during
training. Similar errors may still be around, so much be hunted down.
Hunting this one down took a long time...I printed out values across
training runs and diffed, looking for points of divergence between
runs, when no randomness should be allowed.

* Change PyThaiNLP Url (#2876)

* Fix missing comma

* Add example showing a fix-up rule for space entities

* Set version to 2.0.17.dev0

* Update regex version

* Revert "Update regex version"

This reverts commit 62358dd867.

* Try setting older regex version, to align with conda

* Set version to 2.0.17

* Add spacy-js to universe [ci-skip]

* Add spacy-raspberry to universe (closes #2889)

* Add script to validate universe json [ci skip]

* Removed space in docs + added contributor indo (#2909)

* - removed unneeded space in documentation

* - added contributor info

* Allow input text of length up to max_length, inclusive (#2922)

* Include universe spec for spacy-wordnet component (#2919)

* feat: include universe spec for spacy-wordnet component

* chore: include spaCy contributor agreement

* Minor formatting changes [ci skip]

* Fix image [ci skip]

Twitter URL doesn't work on live site

* Check if the word is in one of the regular lists specific to each POS (#2886)

* 💫 Create random IDs for SVGs to prevent ID clashes (#2927)

Resolves #2924.

## Description
Fixes problem where multiple visualizations in Jupyter notebooks would have clashing arc IDs, resulting in weirdly positioned arc labels. Generating a random ID prefix so even identical parses won't receive the same IDs for consistency (even if effect of ID clash isn't noticable here.)

### Types of change
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.

* Fix typo [ci skip]

* fixes symbolic link on py3 and windows (#2949)

* fixes symbolic link on py3 and windows
during setup of spacy using command
python -m spacy link en_core_web_sm en
closes #2948

* Update spacy/compat.py

Co-Authored-By: cicorias <cicorias@users.noreply.github.com>

* Fix formatting

* Update universe [ci skip]

* Catalan Language Support (#2940)

* Catalan language Support

* Ddding Catalan to documentation

* Sort languages alphabetically [ci skip]

* Update tests for pytest 4.x (#2965)

<!--- Provide a general summary of your changes in the title. -->

## Description
- [x] Replace marks in params for pytest 4.0 compat ([see here](https://docs.pytest.org/en/latest/deprecations.html#marks-in-pytest-mark-parametrize))
- [x] Un-xfail passing tests (some fixes in a recent update resolved a bunch of issues, but tests were apparently never updated here)

### 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? -->

## 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.

* Fix regex pin to harmonize with conda (#2964)

* Update README.rst

* Fix bug where Vocab.prune_vector did not use 'batch_size' (#2977)

Fixes #2976

* Fix typo

* Fix typo

* Remove duplicate file

* Require thinc 7.0.0.dev2

Fixes bug in gpu_ops that would use cupy instead of numpy on CPU

* Add missing import

* Fix error IDs

* Fix tests
2018-11-29 16:30:29 +01:00
Matthew Honnibal
61e435610e
💫 Feature/improve pretraining (#2971)
* Improve spacy pretrain script

* Implement BERT-style 'masked language model' objective. Much better
results.

* Improve logging.

* Add length cap for documents, to avoid memory errors.

* Require thinc 7.0.0.dev1

* Require thinc 7.0.0.dev1

* Add argument for using pretrained vectors

* Fix defaults

* Fix syntax error

* Improve spacy pretrain script

* Implement BERT-style 'masked language model' objective. Much better
results.

* Improve logging.

* Add length cap for documents, to avoid memory errors.

* Require thinc 7.0.0.dev1

* Require thinc 7.0.0.dev1

* Add argument for using pretrained vectors

* Fix defaults

* Fix syntax error

* Tweak pretraining script

* Fix data limits in spacy.gold

* Fix pretrain script
2018-11-28 18:04:58 +01:00
Matthew Honnibal
2c37e0ccf6
💫 Use Blis for matrix multiplications (#2966)
Our epic matrix multiplication odyssey is drawing to a close...

I've now finally got the Blis linear algebra routines in a self-contained Python package, with wheels for Windows, Linux and OSX. The only missing platform at the moment is Windows Python 2.7. The result is at https://github.com/explosion/cython-blis

Thinc v7.0.0 will make the change to Blis. I've put a Thinc v7.0.0.dev0 up on PyPi so that we can test these changes with the CI, and even get them out to spacy-nightly, before Thinc v7.0.0 is released. This PR also updates the other dependencies to be in line with the current versions master is using. I've also resolved the msgpack deprecation problems, and gotten spaCy and Thinc up to date with the latest Cython.

The point of switching to Blis is to have control of how our matrix multiplications are executed across platforms. When we were using numpy for this, a different library would be used on pip and conda, OSX would use Accelerate, etc. This would open up different bugs and performance problems, especially when multi-threading was introduced.

With the change to Blis, we now strictly single-thread the matrix multiplications. This will make it much easier to use multiprocessing to parallelise the runtime, since we won't have nested parallelism problems to deal with.

* Use blis

* Use -2 arg to Cython

* Update dependencies

* Fix requirements

* Update setup dependencies

* Fix requirement typo

* Fix msgpack errors

* Remove Python27 test from Appveyor, until Blis works there

* Auto-format setup.py

* Fix murmurhash version
2018-11-27 00:44:04 +01:00
Ines Montani
3832c8a2c1 💫 Use README.md instead of README.rst (#2968)
* Auto-format setup.py

* Use README.md instead of README.rst
2018-11-26 22:04:35 +01:00
Matthew Honnibal
9e2ff2f583
Fix regex pin to harmonize with conda (#2964) 2018-11-26 19:28:54 +01:00
Matthew Honnibal
e2ae25d6f5 Try setting older regex version, to align with conda 2018-10-29 13:39:00 +01:00
Matthew Honnibal
a2745d310e Revert "Update regex version"
This reverts commit 62358dd867.
2018-10-28 16:38:56 +01:00
Matthew Honnibal
62358dd867 Update regex version 2018-10-28 16:27:50 +01:00
Ines Montani
fd750ec3bf Fix msgpack-numpy version pin 2018-10-15 14:18:38 +02:00
Ines Montani
051a6b73eb Update Thinc version pin 2018-10-15 01:40:28 +02:00
Matthew Honnibal
7202abdfa9 Fix specifiers for GPU 2018-10-15 00:08:44 +02:00
Matthew Honnibal
b305b24c24 Require thinc 6.10.6 2018-10-14 23:28:41 +02:00
Matthew Honnibal
6e6f6be3f5 Update requirements and setup.py 2018-10-14 23:06:46 +02:00
Ines Montani
9ebe607f82 Add wheel to setup_requires 2018-10-14 16:38:48 +02:00
Ines Montani
2e675d9523 Update murmurhash pin 2018-10-14 16:37:38 +02:00
Matthew Honnibal
f784e42ffe Try older version of regex 2018-10-03 00:23:40 +02:00
Matthew Honnibal
e4fd2ccd07 Try previous version of regex 2018-10-02 23:37:17 +02:00
Matthew Honnibal
9937ff93e5 Update regex version dependency 2018-10-02 19:43:59 +02:00
Matthew Honnibal
05b6103a0c Try to fix version pin for msgpack-numpy 2018-09-28 14:07:00 +02:00
Matthew Honnibal
276aa83d1a Require older msgpack-numpy 2018-09-27 15:34:24 +02:00
Matthew Honnibal
031b0d2a3a Build morphologizer in setup.py 2018-09-25 22:13:22 +02:00
Matthew Honnibal
4336397ecb Update develop from master 2018-08-14 03:04:28 +02:00
Matthew Honnibal
7be9118be3 Require numpy>=1.15.0 to avoid the RuntimeWarning 2018-08-10 00:14:13 +02:00
Matthew Honnibal
cabce07ba6 Fix thinc version requirement 2018-07-21 15:56:33 +02:00
ines
3c30d1763c Merge branch 'master' into develop 2018-07-21 15:34:18 +02:00
Matthew Honnibal
a723fafea3 Require thinc 6.10.3.dev1 2018-07-21 12:49:09 +02:00
ines
95641f4026 Only install pathlib backport on Python < 3.4 2018-07-20 21:08:29 +02:00
Matthew Honnibal
adde3826e2 Build against thinc 6.10.3.dev0 2018-07-20 13:34:54 +02:00
ines
83e88553d4 Add Python 3.7 to setup.py (resolves #2505) 2018-07-04 14:53:51 +02:00
Matthew Honnibal
94ad2d66b6 Require thinc 6.11.2 2018-05-21 19:26:28 +02:00
Matthew Honnibal
f3b4f6a4ec Merge setup.py 2018-05-20 23:21:00 +02:00
Ines Montani
d4cc736b7c 💫 Improve model downloads: check for existing install, customise pip and use requests library again (#2346)
* Go back to using requests instead of urllib (closes #2320)

Fewer dependencies are good, but this one was simply causing too many other problems around SSL verification and Python 2/3 compatibility. requests is a popular enough package that it's okay for spaCy to depend on it – and this will hopefully make model downloads less flakey.

* Only download model if not installed (see #1456)

Use #egg=model==version to allow pip to check for existing installations. The download is only started if no installation matching the package/version is found. Fixes a long-standing inconvenience.

* Pass additional options to pip when installing model (resolves #1456)

Treat all additional arguments passed to the download command as pip options to allow user to customise the command. For example:

python -m spacy download en --user

* Add CLI option to enable installing model package dependencies

* Revert "Add CLI option to enable installing model package dependencies"

This reverts commit 9336ffe695.

* Update documentation
2018-05-20 20:26:56 +02:00
Matthew Honnibal
3eb446e0a5 Require thinc 6.11.1 and prepare for release to spacy-nightly 2018-05-20 19:00:34 +02:00
Matthew Honnibal
260707a4c3 Make thinc look in /usr/local/cuda for cuda by default 2018-05-19 18:12:23 +02:00
Matthew Honnibal
a0b8a26655 Fix missing regex requirement 2018-05-16 23:19:01 +02:00
Matthew Honnibal
13faf4e1ea Update thinc requirement 2018-05-15 18:35:11 +02:00
Matthew Honnibal
4dd1fb3c7b Require thinc 6.11.1.dev16 2018-05-15 17:56:07 +02:00
Matthew Honnibal
5a0f26be0c Readd beam search after refactor 2018-05-08 00:19:52 +02:00
Matthew Honnibal
3e3771c010 Compile updated parser 2018-05-07 15:54:27 +02:00
Matthew Honnibal
535833a38d Fix syntax error in setup.py 2018-04-29 15:47:54 +02:00
Matthew Honnibal
2c4a6d66fa Merge master into develop. Big merge, many conflicts -- need to review 2018-04-29 14:49:26 +02:00
Matthew Honnibal
abf8b16d71
Add doc.retokenize() context manager (#2172)
This patch takes a step towards #1487 by introducing the
doc.retokenize() context manager, to handle merging spans, and soon
splitting tokens.

The idea is to do merging and splitting like this:

with doc.retokenize() as retokenizer:
    for start, end, label in matches:
        retokenizer.merge(doc[start : end], attrs={'ent_type': label})

The retokenizer accumulates the merge requests, and applies them
together at the end of the block. This will allow retokenization to be
more efficient, and much less error prone.

A retokenizer.split() function will then be added, to handle splitting a
single token into multiple tokens. These methods take `Span` and `Token`
objects; if the user wants to go directly from offsets, they can append
to the .merges and .splits lists on the retokenizer.

The doc.merge() method's behaviour remains unchanged, so this patch
should be 100% backwards incompatible (modulo bugs). Internally,
doc.merge() fixes up the arguments (to handle the various deprecated styles),
opens the retokenizer, and makes the single merge.

We can later start making deprecation warnings on direct calls to doc.merge(),
to migrate people to use of the retokenize context manager.
2018-04-03 14:10:35 +02:00
Matthew Honnibal
6efb76bb3f Require next thinc 2018-03-28 23:30:32 +00:00
Matthew Honnibal
8308bbc617 Get msgpack and msgpack_numpy via Thinc, to avoid potential version conflicts 2018-03-29 00:14:55 +02:00
ines
366c98a94b Remove requests dependency 2018-03-28 12:46:18 +02:00
ines
ce6071ca89 Remove ftfy dependency and update docs 2018-03-28 12:09:42 +02:00
ines
6d2c85f428 Drop six and related hacks as a dependency 2018-03-28 10:45:25 +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
d2118792e7 Merge changes from master 2018-03-27 13:38:41 +02:00
Matthew Honnibal
c059fcb0ba Update thinc requirement 2018-03-25 19:29:36 +02:00
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
Matthew Honnibal
318c23d318 Increment thinc 2018-03-16 13:12:53 +01:00
Matthew Honnibal
39c50225e8 Update thinc 2018-03-16 03:57:47 +01:00
Matthew Honnibal
7be561c8be Fix thinc requirement 2018-03-16 03:34:12 +01:00
Matthew Honnibal
53df6d867b Require new thinc 2018-03-16 03:20:01 +01:00
Matthew Honnibal
f2fa8481c4 Require thinc v6.11 2018-03-13 13:59:35 +01:00
ines
9c8a0f6eba Version-lock msgpack-python (see #2015) 2018-02-22 19:42:03 +01:00
ines
f5f4de98d1 Version-lock msgpack-python (see #2015) 2018-02-22 16:02:32 +01:00
Matthew Honnibal
f46bf2a7e9 Build _align.pyx 2018-02-20 17:32:13 +01:00
ines
6bba1db4cc Drop six and related hacks as a dependency 2018-02-18 13:29:56 +01:00
ines
002ee80ddf Add html5lib to setup.py to fix six error (see #1924) 2018-02-02 20:32:08 +01:00
Matthew Honnibal
2e449c1fbf Fix compiler flags, addressing #1591 2018-01-14 14:34:36 +01:00
Matthew Honnibal
04a92bd75e Pin msgpack-numpy requirement 2017-12-06 03:24:24 +01:00
Hugo
aa898ab4e4 Drop support for EOL Python 2.6 and 3.3 2017-11-26 19:46:24 +02:00
Matthew Honnibal
716ccbb71e Require thinc 6.10.1 2017-11-15 14:59:34 +01:00
Matthew Honnibal
314f5b9cdb Require thinc 6.10.0 2017-10-28 18:20:10 +00:00
Matthew Honnibal
64e4ff7c4b Merge 'tidy-up' changes into branch. Resolve conflicts 2017-10-28 13:16:06 +02:00
ines
7946464742 Remove spacy.tagger (now in pipeline) 2017-10-27 19:45:04 +02:00
Matthew Honnibal
531142a933 Merge remote-tracking branch 'origin/develop' into feature/better-parser 2017-10-27 12:34:48 +00:00
Matthew Honnibal
642eb28c16 Don't compile with OpenMP by default 2017-10-27 10:16:58 +00:00
Matthew Honnibal
90d1d9b230 Remove obsolete parser code 2017-10-26 13:22:45 +02:00