Commit Graph

167 Commits

Author SHA1 Message Date
Ines Montani
3a193eb8f1 Fix imports, types and default configs 2020-08-07 18:40:54 +02:00
Adriane Boyd
e962784531
Add Lemmatizer and simplify related components (#5848)
* Add Lemmatizer and simplify related components

* Add `Lemmatizer` pipe with `lookup` and `rule` modes using the
`Lookups` tables.
* Reduce `Tagger` to a simple tagger that sets `Token.tag` (no pos or lemma)
* Reduce `Morphology` to only keep track of morph tags (no tag map, lemmatizer,
or morph rules)
* Remove lemmatizer from `Vocab`
* Adjust many many tests

Differences:

* No default lookup lemmas
* No special treatment of TAG in `from_array` and similar required
* Easier to modify labels in a `Tagger`
* No extra strings added from morphology / tag map

* Fix test

* Initial fix for Lemmatizer config/serialization

* Adjust init test to be more generic

* Adjust init test to force empty Lookups

* Add simple cache to rule-based lemmatizer

* Convert language-specific lemmatizers

Convert language-specific lemmatizers to component lemmatizers. Remove
previous lemmatizer class.

* Fix French and Polish lemmatizers

* Remove outdated UPOS conversions

* Update Russian lemmatizer init in tests

* Add minimal init/run tests for custom lemmatizers

* Add option to overwrite existing lemmas

* Update mode setting, lookup loading, and caching

* Make `mode` an immutable property
* Only enforce strict `load_lookups` for known supported modes
* Move caching into individual `_lemmatize` methods

* Implement strict when lang is not found in lookups

* Fix tables/lookups in make_lemmatizer

* Reallow provided lookups and allow for stricter checks

* Add lookups asset to all Lemmatizer pipe tests

* Rename lookups in lemmatizer init test

* Clean up merge

* Refactor lookup table loading

* Add helper from `load_lemmatizer_lookups` that loads required and
optional lookups tables based on settings provided by a config.

Additional slight refactor of lookups:

* Add `Lookups.set_table` to set a table from a provided `Table`
* Reorder class definitions to be able to specify type as `Table`

* Move registry assets into test methods

* Refactor lookups tables config

Use class methods within `Lemmatizer` to provide the config for
particular modes and to load the lookups from a config.

* Add pipe and score to lemmatizer

* Simplify Tagger.score

* Add missing import

* Clean up imports and auto-format

* Remove unused kwarg

* Tidy up and auto-format

* Update docstrings for Lemmatizer

Update docstrings for Lemmatizer.

Additionally modify `is_base_form` API to take `Token` instead of
individual features.

* Update docstrings

* Remove tag map values from Tagger.add_label

* Update API docs

* Fix relative link in Lemmatizer API docs
2020-08-07 15:27:13 +02:00
Ines Montani
5cc0d89fad
Simplify config overrides in CLI and deserialization (#5880) 2020-08-05 23:35:09 +02:00
Ines Montani
e68459296d Tidy up and auto-format 2020-08-05 16:00:59 +02:00
Matthew Honnibal
ecb3c4e8f4
Create corpus iterator and batcher from registry during training (#5865)
* Move batchers into their own module (and registry)

* Update CLI

* Update Corpus and batcher

* Update tests

* Update one config

* Merge 'evaluation' block back under [training]

* Import batchers in gold __init__

* Fix batchers

* Update config

* Update schema

* Update util

* Don't assume train and dev are actually paths

* Update onto-joint config

* Fix missing import

* Format

* Format

* Update spacy/gold/corpus.py

Co-authored-by: Ines Montani <ines@ines.io>

* Fix name

* Update default config

* Fix get_length option in batchers

* Update test

* Add comment

* Pass path into Corpus

* Update docstring

* Update schema and configs

* Update config

* Fix test

* Fix paths

* Fix print

* Fix create_train_batches

* [training.read_train] -> [training.train_corpus]

* Update onto-joint config

Co-authored-by: Ines Montani <ines@ines.io>
2020-08-04 15:09:37 +02:00
Sofie Van Landeghem
82347110f5
Default empty KB in EL component (#5872)
* EL field documentation

* documentation consistent with docs

* default empty KB, initialize vocab separately

* formatting

* add test for changing the default entity vector length

* update comment
2020-08-04 14:34:09 +02:00
Matthew Honnibal
f0cf4a2dca Update tests 2020-07-29 14:01:14 +02:00
Matthew Honnibal
c7d1ece3eb Update tests 2020-07-29 14:01:13 +02:00
Matthew Honnibal
20e9098e3f Update tests 2020-07-29 14:01:12 +02:00
Ines Montani
e92df281ce Tidy up, autoformat, add types 2020-07-25 15:01:15 +02:00
Ines Montani
d0c6d1efc5
@factories -> factory (#5801) 2020-07-22 17:29:31 +02:00
Ines Montani
43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

Co-authored-by: Ines Montani <ines@ines.io>

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

* removing default values from component constructors where possible (TODO: test 4725)

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

* specify the section of the config which holds the model to debug

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed)

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

* Move [pipeline] to top-level block and make [nlp.pipeline] list

Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +02:00
Sofie Van Landeghem
c9da9605f7
Test suite clean up (#5781)
* step_through tests: skip instead of xfail

* test_empty_doc should be fixed with new Thinc version

* remove outdated test (there are other misaligned tests now)

* xfail reason

* fix test according to french exceptions

* clarified some skipped tests

* skip ukranian test instead of xfail

* skip instead of xfail

* skip + reason instead of xfail

* removed obsolete tests referring to removed "set_frozen" functionality

* fix test 999

* remove unused AlignmentError

* remove xfail where possible, skip otherwise

* increment thinc release for empty_doc test
2020-07-20 14:49:54 +02:00
Ines Montani
7906ddd56c Fix test 2020-07-12 14:28:34 +02:00
Ines Montani
412dbb1f38
Remove dead and/or deprecated code (#5710)
* Remove dead and/or deprecated code

* Remove n_threads

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-06 13:06:25 +02:00
Matthew Honnibal
a902b5f217
Record whether Doc objects are built from known spacing (#5697)
* Tell convert CLI to store user data for Doc

* Remove assert

* Add has_unknwon_spaces flag on Doc

* Do not tokenize docs with unknown spaces in Corpus

* Handle conversion of unknown spaces in Example

* Fixes

* Fixes

* Draft has_known_spaces support in DocBin

* Add test for serialize has_unknown_spaces

* Fix DocBin serialization when has_unknown_spaces

* Use serialization in test
2020-07-03 12:58:16 +02:00
Ines Montani
f91e9e8c84 Remove F841 [ci skip] 2020-06-20 14:47:17 +02:00
Ines Montani
8283df80e9 Tidy up and auto-format 2020-06-20 14:15:04 +02:00
Sofie Van Landeghem
c0f4a1e43b
train is from-config by default (#5575)
* verbose and tag_map options

* adding init_tok2vec option and only changing the tok2vec that is specified

* adding omit_extra_lookups and verifying textcat config

* wip

* pretrain bugfix

* add replace and resume options

* train_textcat fix

* raw text functionality

* improve UX when KeyError or when input data can't be parsed

* avoid unnecessary access to goldparse in TextCat pipe

* save performance information in nlp.meta

* add noise_level to config

* move nn_parser's defaults to config file

* multitask in config - doesn't work yet

* scorer offering both F and AUC options, need to be specified in config

* add textcat verification code from old train script

* small fixes to config files

* clean up

* set default config for ner/parser to allow create_pipe to work as before

* two more test fixes

* small fixes

* cleanup

* fix NER pickling + additional unit test

* create_pipe as before
2020-06-12 02:02:07 +02:00
Matthew Honnibal
8411d4f4e6
Merge pull request #5543 from svlandeg/feature/pretrain-config
pretrain from config
2020-06-04 19:07:12 +02:00
svlandeg
eac12cbb77 make dropout in embed layers configurable 2020-06-03 11:50:16 +02:00
svlandeg
e0f9f448f1 remove Tensorizer 2020-06-01 23:38:48 +02:00
Ines Montani
c685ee734a Fix compat for v2.x branch 2020-05-22 14:22:36 +02:00
Adriane Boyd
17ee9ab53a Fix _SP/POS=SPACE in strings serialization tests 2020-05-21 19:49:08 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
Ines Montani
d8f3190c0a Tidy up and auto-format 2020-05-21 14:14:01 +02:00
Sofie Van Landeghem
f00de445dd
default models defined in component decorator (#5452)
* move defaults to pipeline and use in component decorator

* black formatting

* relative import
2020-05-19 16:20:03 +02:00
adrianeboyd
a5cd203284
Reduce stored lexemes data, move feats to lookups (#5238)
* Reduce stored lexemes data, move feats to lookups

* Move non-derivable lexemes features (`norm / cluster / prob`) to
`spacy-lookups-data` as lookups
  * Get/set `norm` in both lookups and `LexemeC`, serialize in lookups
  * Remove `cluster` and `prob` from `LexemesC`, get/set/serialize in
    lookups only
* Remove serialization of lexemes data as `vocab/lexemes.bin`
  * Remove `SerializedLexemeC`
  * Remove `Lexeme.to_bytes/from_bytes`
* Modify normalization exception loading:
  * Always create `Vocab.lookups` table `lexeme_norm` for
    normalization exceptions
  * Load base exceptions from `lang.norm_exceptions`, but load
    language-specific exceptions from lookups
  * Set `lex_attr_getter[NORM]` including new lookups table in
    `BaseDefaults.create_vocab()` and when deserializing `Vocab`
* Remove all cached lexemes when deserializing vocab to override
  existing normalizations with the new normalizations (as a replacement
  for the previous step that replaced all lexemes data with the
  deserialized data)

* Skip English normalization test

Skip English normalization test because the data is now in
`spacy-lookups-data`.

* Remove norm exceptions

Moved to spacy-lookups-data.

* Move norm exceptions test to spacy-lookups-data

* Load extra lookups from spacy-lookups-data lazily

Load extra lookups (currently for cluster and prob) lazily from the
entry point `lg_extra` as `Vocab.lookups_extra`.

* Skip creating lexeme cache on load

To improve model loading times, do not create the full lexeme cache when
loading. The lexemes will be created on demand when processing.

* Identify numeric values in Lexeme.set_attrs()

With the removal of a special case for `PROB`, also identify `float` to
avoid trying to convert it with the `StringStore`.

* Skip lexeme cache init in from_bytes

* Unskip and update lookups tests for python3.6+

* Update vocab pickle to include lookups_extra

* Update vocab serialization tests

Check strings rather than lexemes since lexemes aren't initialized
automatically, account for addition of "_SP".

* Re-skip lookups test because of python3.5

* Skip PROB/float values in Lexeme.set_attrs

* Convert is_oov from lexeme flag to lex in vectors

Instead of storing `is_oov` as a lexeme flag, `is_oov` reports whether
the lexeme has a vector.

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 15:59:14 +02:00
Matthew Honnibal
333b1a308b
Adapt parser and NER for transformers (#5449)
* Draft layer for BILUO actions

* Fixes to biluo layer

* WIP on BILUO layer

* Add tests for BILUO layer

* Format

* Fix transitions

* Update test

* Link in the simple_ner

* Update BILUO tagger

* Update __init__

* Import simple_ner

* Update test

* Import

* Add files

* Add config

* Fix label passing for BILUO and tagger

* Fix label handling for simple_ner component

* Update simple NER test

* Update config

* Hack train script

* Update BILUO layer

* Fix SimpleNER component

* Update train_from_config

* Add biluo_to_iob helper

* Add IOB layer

* Add IOBTagger model

* Update biluo layer

* Update SimpleNER tagger

* Update BILUO

* Read random seed in train-from-config

* Update use of normal_init

* Fix normalization of gradient in SimpleNER

* Update IOBTagger

* Remove print

* Tweak masking in BILUO

* Add dropout in SimpleNER

* Update thinc

* Tidy up simple_ner

* Fix biluo model

* Unhack train-from-config

* Update setup.cfg and requirements

* Add tb_framework.py for parser model

* Try to avoid memory leak in BILUO

* Move ParserModel into spacy.ml, avoid need for subclass.

* Use updated parser model

* Remove incorrect call to model.initializre in PrecomputableAffine

* Update parser model

* Avoid divide by zero in tagger

* Add extra dropout layer in tagger

* Refine minibatch_by_words function to avoid oom

* Fix parser model after refactor

* Try to avoid div-by-zero in SimpleNER

* Fix infinite loop in minibatch_by_words

* Use SequenceCategoricalCrossentropy in Tagger

* Fix parser model when hidden layer

* Remove extra dropout from tagger

* Add extra nan check in tagger

* Fix thinc version

* Update tests and imports

* Fix test

* Update test

* Update tests

* Fix tests

* Fix test

Co-authored-by: Ines Montani <ines@ines.io>
2020-05-18 22:23:33 +02:00
Ines Montani
46568f40a7 Merge branch 'master' into tmp/sync 2020-03-26 13:38:14 +01:00
Ines Montani
828acffc12 Tidy up and auto-format 2020-03-25 12:28:12 +01:00
adrianeboyd
c95ce96c44
Update sentence recognizer (#5109)
* Update sentence recognizer

* rename `sentrec` to `senter`
* use `spacy.HashEmbedCNN.v1` by default
* update to follow `Tagger` modifications
* remove component methods that can be inherited from `Tagger`
* add simple initialization and overfitting pipeline tests

* Update serialization test for senter
2020-03-06 14:45:02 +01:00
adrianeboyd
2281c4708c
Restore empty tokenizer properties (#5026)
* Restore empty tokenizer properties

* Check for types in tokenizer.from_bytes()

* Add test for setting empty tokenizer rules
2020-03-02 11:55:02 +01:00
Ines Montani
5da3ad682a Tidy up and auto-format 2020-02-28 11:57:41 +01:00
Sofie Van Landeghem
06f0a8daa0
Default settings to configurations (#4995)
* fix grad_clip naming

* cleaning up pretrained_vectors out of cfg

* further refactoring Model init's

* move Model building out of pipes

* further refactor to require a model config when creating a pipe

* small fixes

* making cfg in nn_parser more consistent

* fixing nr_class for parser

* fixing nn_parser's nO

* fix printing of loss

* architectures in own file per type, consistent naming

* convenience methods default_tagger_config and default_tok2vec_config

* let create_pipe access default config if available for that component

* default_parser_config

* move defaults to separate folder

* allow reading nlp from package or dir with argument 'name'

* architecture spacy.VocabVectors.v1 to read static vectors from file

* cleanup

* default configs for nel, textcat, morphologizer, tensorizer

* fix imports

* fixing unit tests

* fixes and clean up

* fixing defaults, nO, fix unit tests

* restore parser IO

* fix IO

* 'fix' serialization test

* add *.cfg to manifest

* fix example configs with additional arguments

* replace Morpohologizer with Tagger

* add IO bit when testing overfitting of tagger (currently failing)

* fix IO - don't initialize when reading from disk

* expand overfitting tests to also check IO goes OK

* remove dropout from HashEmbed to fix Tagger performance

* add defaults for sentrec

* update thinc

* always pass a Model instance to a Pipe

* fix piped_added statement

* remove obsolete W029

* remove obsolete errors

* restore byte checking tests (work again)

* clean up test

* further test cleanup

* convert from config to Model in create_pipe

* bring back error when component is not initialized

* cleanup

* remove calls for nlp2.begin_training

* use thinc.api in imports

* allow setting charembed's nM and nC

* fix for hardcoded nM/nC + unit test

* formatting fixes

* trigger build
2020-02-27 18:42:27 +01:00
Ines Montani
de11ea753a Merge branch 'master' into develop 2020-02-18 14:47:23 +01:00
Sofie Van Landeghem
a1b22e90cd serialize ENT_ID (#4852)
* expand serialization test for custom token attribute

* add failing test for issue 4849

* define ENT_ID as attr and use in doc serialization

* fix few typos
2020-01-06 14:57:34 +01:00
Ines Montani
db55577c45
Drop Python 2.7 and 3.5 (#4828)
* Remove unicode declarations

* Remove Python 3.5 and 2.7 from CI

* Don't require pathlib

* Replace compat helpers

* Remove OrderedDict

* Use f-strings

* Set Cython compiler language level

* Fix typo

* Re-add OrderedDict for Table

* Update setup.cfg

* Revert CONTRIBUTING.md

* Revert lookups.md

* Revert top-level.md

* Small adjustments and docs [ci skip]
2019-12-22 01:53:56 +01:00
Ines Montani
158b98a3ef Merge branch 'master' into develop 2019-12-21 18:55:03 +01:00
adrianeboyd
676e75838f Include Doc.cats in serialization of Doc and DocBin (#4774)
* Include Doc.cats in to_bytes()

* Include Doc.cats in DocBin serialization

* Add tests for serialization of cats

Test serialization of cats for Doc and DocBin.
2019-12-06 14:07:39 +01:00
adrianeboyd
b841d3fe75 Add a tagger-based SentenceRecognizer (#4713)
* Add sent_starts to GoldParse

* Add SentTagger pipeline component

Add `SentTagger` pipeline component as a subclass of `Tagger`.

* Model reduces default parameters from `Tagger` to be small and fast
* Hard-coded set of two labels:
  * S (1): token at beginning of sentence
  * I (0): all other sentence positions
* Sets `token.sent_start` values

* Add sentence segmentation to Scorer

Report `sent_p/r/f` for sentence boundaries, which may be provided by
various pipeline components.

* Add sentence segmentation to CLI evaluate

* Add senttagger metrics/scoring to train CLI

* Rename SentTagger to SentenceRecognizer

* Add SentenceRecognizer to spacy.pipes imports

* Add SentenceRecognizer serialization test

* Shorten component name to sentrec

* Remove duplicates from train CLI output metrics
2019-11-28 11:10:07 +01:00
Ines Montani
181c01f629 Tidy up and auto-format 2019-10-18 11:27:38 +02:00
Sofie Van Landeghem
4e7259c6cf Bugfix initializing DocBin with attributes (#4368)
* docbin init fix + documentation fix + unit tests

* newline

* try with zlib instead of gzip (python 2 incompatibilities)
2019-10-03 14:48:45 +02:00
Ines Montani
0226b3bf0e Fix test imports 2019-09-29 17:34:56 +02:00
Ines Montani
3d8fd4b461 Revert #4334 2019-09-29 17:32:12 +02:00
Ines Montani
c9cd516d96 Move tests out of package (#4334)
* Move tests out of package

* Fix typo
2019-09-28 18:05:00 +02:00
Ines Montani
669a7d37ce Exclude vocab when testing to_bytes 2019-09-10 19:45:16 +02:00
Ines Montani
3e8f136ba7 💫 WIP: Basic lookup class scaffolding and JSON for all lemmatizer data (#4178)
* Improve load_language_data helper

* WIP: Add Lookups implementation

* Start moving lemma data over to JSON

* WIP: move data over for more languages

* Convert more languages

* Fix lemmatizer fixtures in tests

* Finish conversion

* Auto-format JSON files

* Fix test for now

* Make sure tables are stored on instance

* Update docstrings

* Update docstrings and errors

* Update test

* Add Lookups.__len__

* Add serialization methods

* Add Lookups.remove_table

* Use msgpack for serialization to disk

* Fix file exists check

* Try using OrderedDict for everything

* Update .flake8 [ci skip]

* Try fixing serialization

* Update test_lookups.py

* Update test_serialize_vocab_strings.py

* Fix serialization for lookups

* Fix lookups

* Fix lookups

* Fix lookups

* Try to fix serialization

* Try to fix serialization

* Try to fix serialization

* Try to fix serialization

* Give up on serialization test

* Xfail more serialization tests for 3.5

* Fix lookups for 2.7
2019-09-09 19:17:55 +02:00
Ines Montani
f580302673 Tidy up and auto-format 2019-08-20 17:36:34 +02:00
Sofie Van Landeghem
0ba1b5eebc CLI scripts for entity linking (wikipedia & generic) (#4091)
* document token ent_kb_id

* document span kb_id

* update pipeline documentation

* prior and context weights as bool's instead

* entitylinker api documentation

* drop for both models

* finish entitylinker documentation

* small fixes

* documentation for KB

* candidate documentation

* links to api pages in code

* small fix

* frequency examples as counts for consistency

* consistent documentation about tensors returned by predict

* add entity linking to usage 101

* add entity linking infobox and KB section to 101

* entity-linking in linguistic features

* small typo corrections

* training example and docs for entity_linker

* predefined nlp and kb

* revert back to similarity encodings for simplicity (for now)

* set prior probabilities to 0 when excluded

* code clean up

* bugfix: deleting kb ID from tokens when entities were removed

* refactor train el example to use either model or vocab

* pretrain_kb example for example kb generation

* add to training docs for KB + EL example scripts

* small fixes

* error numbering

* ensure the language of vocab and nlp stay consistent across serialization

* equality with =

* avoid conflict in errors file

* add error 151

* final adjustements to the train scripts - consistency

* update of goldparse documentation

* small corrections

* push commit

* turn kb_creator into CLI script (wip)

* proper parameters for training entity vectors

* wikidata pipeline split up into two executable scripts

* remove context_width

* move wikidata scripts in bin directory, remove old dummy script

* refine KB script with logs and preprocessing options

* small edits

* small improvements to logging of EL CLI script
2019-08-13 15:38:59 +02:00
svlandeg
dae8a21282 rename entity frequency 2019-07-19 17:40:28 +02:00
svlandeg
ddc73b11a9 fix unicode literals 2019-06-24 12:58:18 +02:00
svlandeg
b76a43bee4 unicode strings 2019-06-19 13:26:33 +02:00
svlandeg
0b0959b363 UTF8 encoding 2019-06-19 13:11:39 +02:00
svlandeg
5c723c32c3 entity vectors in the KB + serialization of them 2019-06-05 18:29:18 +02:00
svlandeg
19e8f339cb deduce entity freq from WP corpus and serialize vocab in WP test 2019-04-29 17:37:29 +02:00
svlandeg
387263d618 simplify chains 2019-04-29 13:58:07 +02:00
svlandeg
54d0cea062 unit test for KB serialization 2019-04-24 23:52:34 +02:00
Ines Montani
7ba3a5d95c 💫 Make serialization methods consistent (#3385)
* Make serialization methods consistent

exclude keyword argument instead of random named keyword arguments and deprecation handling

* Update docs and add section on serialization fields
2019-03-10 19:16:45 +01:00
Matthew Honnibal
27dd820753
Fix vocab deserialization when loading already present lexemes (#3383)
* Fix vocab deserialization bug. Closes #2153

* Un-xfail test for #2153
2019-03-10 17:21:19 +01:00
Matthew Honnibal
61e5ce02a4 Add xfailing test for #2153 2019-03-10 16:36:29 +01:00
Ines Montani
323fc26880 Tidy up and format remaining files 2018-11-30 17:43:08 +01:00
Ines Montani
b6e991440c 💫 Tidy up and auto-format tests (#2967)
* Auto-format tests with black

* Add flake8 config

* Tidy up and remove unused imports

* Fix redefinitions of test functions

* Replace orths_and_spaces with words and spaces

* Fix compatibility with pytest 4.0

* xfail test for now

Test was previously overwritten by following test due to naming conflict, so failure wasn't reported

* Unfail passing test

* Only use fixture via arguments

Fixes pytest 4.0 compatibility
2018-11-27 01:09:36 +01:00
Ines Montani
75f3234404
💫 Refactor test suite (#2568)
## Description

Related issues: #2379 (should be fixed by separating model tests)

* **total execution time down from > 300 seconds to under 60 seconds** 🎉
* removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure
* changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version)
* merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways)
* tidied up and rewrote existing tests wherever possible

### Todo

- [ ] move tests to `/tests` and adjust CI commands accordingly
- [x] move model test suite from internal repo to `spacy-models`
- [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~
- [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted
- [ ] update documentation on how to run tests


### Types of change
enhancement, tests

## 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.
- [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-07-24 23:38:44 +02:00
ines
38e07ade4c Add test for custom tokenizer serialization (resolves #2494) 2018-07-06 12:40:51 +02:00
ines
c2581f9172 Tidy up tokenizer test 2018-07-06 12:40:28 +02:00
ines
526be40823 Add test for 46d8a66 2018-06-29 14:33:12 +02:00
Matthew Honnibal
cf5fcf0546 Update serialization test 2018-03-28 20:12:53 +02:00
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
ines
1c218397f6 Ensure path in Doc.to_disk/from_disk (resolves ##1521)
Also add Doc serialization tests with both Path and string path options
2017-11-09 02:29:03 +01:00
Matthew Honnibal
4194bc5744 Xfail flakey serialization test 2017-11-08 13:55:13 +01:00
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
bf415fd778 Add test for serializing extension attrs (see #1085) 2017-10-19 00:53:08 +02:00
Matthew Honnibal
f0f2739ae3 Add test for serialization issue raised in #1105 2017-10-10 03:57:58 +02:00
Matthew Honnibal
74f08e1ad5 Update test 2017-09-26 06:45:56 -05:00
Matthew Honnibal
42d47c1e5c Fix tagger serialization 2017-08-19 04:16:32 +02:00
Matthew Honnibal
a7309a217d Update tagger serialization 2017-08-18 23:12:05 +02:00
ines
a66cf24ee8 xfail tokenizer serialization tests for now
Tests pass locally, but not on Travis – needs more investigation
2017-06-04 13:58:20 +02:00
ines
3152ee5ca2 Update serialization tests for tokenizer 2017-06-03 17:05:28 +02:00
ines
de974f7bef Add serializer tests for tokenizer 2017-06-03 13:26:34 +02:00
ines
d21459f87d Update serializer tests 2017-06-02 21:42:26 +02:00
ines
d86e7cde93 Add entity recognizer to parser serialization tests 2017-06-02 18:40:06 +02:00
ines
0051c05964 Add tests for serializing parser 2017-06-02 18:37:19 +02:00
ines
cef547a9f0 Add serialization tests for tensorizer 2017-06-02 18:18:30 +02:00
ines
f74a45c1fe Remove unnecessary argument 2017-06-02 18:17:46 +02:00
ines
43b4d63f85 Add serialization tests for tagger 2017-06-02 17:29:34 +02:00
ines
acd65c00f6 Add serialization tests for StringStore and Vocab 2017-06-02 10:57:42 +02:00
ines
7b1ddcc04d Add test for vocab serialization 2017-05-29 01:09:52 +02:00
Matthew Honnibal
7253b4e649 Remove old serialization tests 2017-05-09 18:12:58 +02:00
Matthew Honnibal
f9327343ce Start updating serializer test 2017-05-09 18:12:03 +02:00
Ines Montani
38d60f6b90 Modernise serializer I/O tests and don't depend on models where possible 2017-01-13 02:24:56 +01:00
Ines Montani
61f1ca09c2 Modernise serializer codecs tests 2017-01-12 21:58:55 +01:00
Ines Montani
5dbc6e59f6 Modernise Huffman tests 2017-01-12 21:58:40 +01:00
Ines Montani
edeeeccea5 Modernise packer tests and don't depend on models where possible 2017-01-12 21:58:07 +01:00
Ines Montani
d084676cd0 Modernise and merge serialization tests 2017-01-12 21:57:19 +01:00
Matthew Honnibal
79aa03fe98 Test Issue #514: Serializer fails when new entity type has been added. 2016-10-23 17:41:44 +02:00
Matthew Honnibal
4de30a8e38 Test Issue #514: Serialization fails after adding a new entity label. 2016-10-23 16:40:27 +02:00
Matthew Honnibal
e99b3f5322 Test Issue #459: Fail to deserialize empty doc 2016-10-23 16:30:22 +02:00
Matthew Honnibal
99ff8b902f Test that huffman codec works with empty freqs dict 2016-10-23 16:27:45 +02:00
Matthew Honnibal
c3a8a1cf51 Update serializer test. 2016-10-18 16:18:46 +02:00