Commit Graph

493 Commits

Author SHA1 Message Date
Ines Montani
e47e5a4b10 Use more sophisticated version parsing logic 2020-05-30 15:01:58 +02:00
Ines Montani
4fd087572a WIP: improve model version deps 2020-05-28 12:51:37 +02:00
Ines Montani
1a15896ba9 unicode -> str consistency [ci skip] 2020-05-24 18:51:10 +02:00
Ines Montani
5d3806e059 unicode -> str consistency 2020-05-24 17:20:58 +02:00
Ines Montani
f9786d765e Simplify is_package check 2020-05-24 14:48:56 +02:00
Ines Montani
6e6db6afb6 Better model compatibility and validation 2020-05-22 15:42:46 +02:00
Ines Montani
cb02bff0eb Add blank:{lang} shortcut to util.load_mode 2020-05-21 20:24:07 +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
Matthw Honnibal
24efd54a42 Merge from develop 2020-05-20 12:27:31 +02:00
Sofie Van Landeghem
7f5715a081
Various fixes to NEL functionality, Example class etc (#5460)
* setting KB in the EL constructor, similar to how the model is passed on

* removing wikipedia example files - moved to projects

* throw an error when nlp.update is called with 2 positional arguments

* rewriting the config logic in create pipe to accomodate for other objects (e.g. KB) in the config

* update config files with new parameters

* avoid training pipeline components that don't have a model (like sentencizer)

* various small fixes + UX improvements

* small fixes

* set thinc to 8.0.0a9 everywhere

* remove outdated comment
2020-05-20 11:41:12 +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
Matthew Honnibal
eb117e2fce Add load_config_from_str helper 2020-05-02 14:09:21 +02:00
Sofie Van Landeghem
cfdaf99b80
Fix passing of component configuration (#5374)
* add kwargs to to_disk methods in docs - otherwise crashes on 'exclude' argument

* add fix and test for Issue 5137
2020-04-29 12:56:17 +02:00
adrianeboyd
d5f18f8307
Add missing import 2020-04-28 14:01:29 +02:00
Adriane Boyd
bc39f97e11 Simplify warnings 2020-04-28 13:37:37 +02:00
adrianeboyd
84e06f9fb7
Improve GoldParse NER alignment (#5335)
Improve GoldParse NER alignment by including all cases where the start
and end of the NER span can be aligned, regardless of internal
tokenization differences.

To do this, convert BILUO tags to character offsets, check start/end
alignment with `doc.char_span()`, and assign the BILUO tags for the
aligned spans. Alignment for `O/-` tags is handled through the
one-to-one and multi alignments.
2020-04-23 16:58:23 +02:00
Matthew Honnibal
6918d99b6c
Improve GPU usage for train-with-config (#5330)
* Adjust for no ops in Optimizer

* Fix gpu in train-from-config

* Update train-from-config script

* Fix parser

* Fix GPU efficiency of padding backprop
2020-04-20 22:06:28 +02:00
adrianeboyd
98c59027ed
Use max(uint64) for OOV lexeme rank (#5303)
* Use max(uint64) for OOV lexeme rank

* Add test for default OOV rank

* Revert back to thinc==7.4.0

Requiring the updated version of thinc was unnecessary.

* Define OOV_RANK in one place

Define OOV_RANK in one place in `util`.

* Fix formatting [ci skip]

* Switch to external definitions of max(uint64)

Switch to external defintions of max(uint64) and confirm that they are
equal.
2020-04-15 13:49:47 +02:00
adrianeboyd
3d2c308906
Add Doc init from list of words and text (#5251)
* Add Doc init from list of words and text

Add an option to initialize a `Doc` from a text and list of words where
the words may or may not include all whitespace tokens. If the text and
words are mismatched, raise an error.

* Fix error code

* Remove all whitespace before aligning words/text

* Move words/text init to util function

* Update error message

* Rename to get_words_and_spaces

* Fix formatting
2020-04-14 19:15:52 +02:00
Sofie Van Landeghem
b2e93be867
Optimizer defaults (#5244)
* set optimizer defaults to mimic thinc 7 + bump to dev6

* larger error range for senter overfitting test
2020-04-03 13:02:46 +02:00
Sofie Van Landeghem
5847be6022
Tok2Vec: extract-embed-encode (#5102)
* avoid changing original config

* fix elif structure, batch with just int crashes otherwise

* tok2vec example with doc2feats, encode and embed architectures

* further clean up MultiHashEmbed

* further generalize Tok2Vec to work with extract-embed-encode parts

* avoid initializing the charembed layer with Docs (for now ?)

* small fixes for bilstm config (still does not run)

* rename to core layer

* move new configs

* walk model to set nI instead of using core ref

* fix senter overfitting test to be more similar to the training data (avoid flakey behaviour)
2020-03-08 13:23:18 +01:00
Ines Montani
37691e6d5d Simplify warnings 2020-02-28 12:20:23 +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
a3335d36b8 Merge branch 'develop' into refactor/remove-symlinks 2020-02-18 17:22:20 +01:00
Ines Montani
09cbeaef27 Remove symlinks, data dir and related stuff 2020-02-18 17:20:17 +01:00
Ines Montani
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +01:00
Sofie Van Landeghem
9b84f987bd
fix grad_clip naming (#4967) 2020-02-10 20:33:16 -05:00
Sofie Van Landeghem
569cc98982
Update spaCy for thinc 8.0.0 (#4920)
* Add load_from_config function

* Add train_from_config script

* Merge configs and expose via spacy.config

* Fix script

* Suggest create_evaluation_callback

* Hard-code for NER

* Fix errors

* Register command

* Add TODO

* Update train-from-config todos

* Fix imports

* Allow delayed setting of parser model nr_class

* Get train-from-config working

* Tidy up and fix scores and printing

* Hide traceback if cancelled

* Fix weighted score formatting

* Fix score formatting

* Make output_path optional

* Add Tok2Vec component

* Tidy up and add tok2vec_tensors

* Add option to copy docs in nlp.update

* Copy docs in nlp.update

* Adjust nlp.update() for set_annotations

* Don't shuffle pipes in nlp.update, decruft

* Support set_annotations arg in component update

* Support set_annotations in parser update

* Add get_gradients method

* Add get_gradients to parser

* Update errors.py

* Fix problems caused by merge

* Add _link_components method in nlp

* Add concept of 'listeners' and ControlledModel

* Support optional attributes arg in ControlledModel

* Try having tok2vec component in pipeline

* Fix tok2vec component

* Fix config

* Fix tok2vec

* Update for Example

* Update for Example

* Update config

* Add eg2doc util

* Update and add schemas/types

* Update schemas

* Fix nlp.update

* Fix tagger

* Remove hacks from train-from-config

* Remove hard-coded config str

* Calculate loss in tok2vec component

* Tidy up and use function signatures instead of models

* Support union types for registry models

* Minor cleaning in Language.update

* Make ControlledModel specifically Tok2VecListener

* Fix train_from_config

* Fix tok2vec

* Tidy up

* Add function for bilstm tok2vec

* Fix type

* Fix syntax

* Fix pytorch optimizer

* Add example configs

* Update for thinc describe changes

* Update for Thinc changes

* Update for dropout/sgd changes

* Update for dropout/sgd changes

* Unhack gradient update

* Work on refactoring _ml

* Remove _ml.py module

* WIP upgrade cli scripts for thinc

* Move some _ml stuff to util

* Import link_vectors from util

* Update train_from_config

* Import from util

* Import from util

* Temporarily add ml.component_models module

* Move ml methods

* Move typedefs

* Update load vectors

* Update gitignore

* Move imports

* Add PrecomputableAffine

* Fix imports

* Fix imports

* Fix imports

* Fix missing imports

* Update CLI scripts

* Update spacy.language

* Add stubs for building the models

* Update model definition

* Update create_default_optimizer

* Fix import

* Fix comment

* Update imports in tests

* Update imports in spacy.cli

* Fix import

* fix obsolete thinc imports

* update srsly pin

* from thinc to ml_datasets for example data such as imdb

* update ml_datasets pin

* using STATE.vectors

* small fix

* fix Sentencizer.pipe

* black formatting

* rename Affine to Linear as in thinc

* set validate explicitely to True

* rename with_square_sequences to with_list2padded

* rename with_flatten to with_list2array

* chaining layernorm

* small fixes

* revert Optimizer import

* build_nel_encoder with new thinc style

* fixes using model's get and set methods

* Tok2Vec in component models, various fixes

* fix up legacy tok2vec code

* add model initialize calls

* add in build_tagger_model

* small fixes

* setting model dims

* fixes for ParserModel

* various small fixes

* initialize thinc Models

* fixes

* consistent naming of window_size

* fixes, removing set_dropout

* work around Iterable issue

* remove legacy tok2vec

* util fix

* fix forward function of tok2vec listener

* more fixes

* trying to fix PrecomputableAffine (not succesful yet)

* alloc instead of allocate

* add morphologizer

* rename residual

* rename fixes

* Fix predict function

* Update parser and parser model

* fixing few more tests

* Fix precomputable affine

* Update component model

* Update parser model

* Move backprop padding to own function, for test

* Update test

* Fix p. affine

* Update NEL

* build_bow_text_classifier and extract_ngrams

* Fix parser init

* Fix test add label

* add build_simple_cnn_text_classifier

* Fix parser init

* Set gpu off by default in example

* Fix tok2vec listener

* Fix parser model

* Small fixes

* small fix for PyTorchLSTM parameters

* revert my_compounding hack (iterable fixed now)

* fix biLSTM

* Fix uniqued

* PyTorchRNNWrapper fix

* small fixes

* use helper function to calculate cosine loss

* small fixes for build_simple_cnn_text_classifier

* putting dropout default at 0.0 to ensure the layer gets built

* using thinc util's set_dropout_rate

* moving layer normalization inside of maxout definition to optimize dropout

* temp debugging in NEL

* fixed NEL model by using init defaults !

* fixing after set_dropout_rate refactor

* proper fix

* fix test_update_doc after refactoring optimizers in thinc

* Add CharacterEmbed layer

* Construct tagger Model

* Add missing import

* Remove unused stuff

* Work on textcat

* fix test (again :)) after optimizer refactor

* fixes to allow reading Tagger from_disk without overwriting dimensions

* don't build the tok2vec prematuraly

* fix CharachterEmbed init

* CharacterEmbed fixes

* Fix CharacterEmbed architecture

* fix imports

* renames from latest thinc update

* one more rename

* add initialize calls where appropriate

* fix parser initialization

* Update Thinc version

* Fix errors, auto-format and tidy up imports

* Fix validation

* fix if bias is cupy array

* revert for now

* ensure it's a numpy array before running bp in ParserStepModel

* no reason to call require_gpu twice

* use CupyOps.to_numpy instead of cupy directly

* fix initialize of ParserModel

* remove unnecessary import

* fixes for CosineDistance

* fix device renaming

* use refactored loss functions (Thinc PR 251)

* overfitting test for tagger

* experimental settings for the tagger: avoid zero-init and subword normalization

* clean up tagger overfitting test

* use previous default value for nP

* remove toy config

* bringing layernorm back (had a bug - fixed in thinc)

* revert setting nP explicitly

* remove setting default in constructor

* restore values as they used to be

* add overfitting test for NER

* add overfitting test for dep parser

* add overfitting test for textcat

* fixing init for linear (previously affine)

* larger eps window for textcat

* ensure doc is not None

* Require newer thinc

* Make float check vaguer

* Slop the textcat overfit test more

* Fix textcat test

* Fix exclusive classes for textcat

* fix after renaming of alloc methods

* fixing renames and mandatory arguments (staticvectors WIP)

* upgrade to thinc==8.0.0.dev3

* refer to vocab.vectors directly instead of its name

* rename alpha to learn_rate

* adding hashembed and staticvectors dropout

* upgrade to thinc 8.0.0.dev4

* add name back to avoid warning W020

* thinc dev4

* update srsly

* using thinc 8.0.0a0 !

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
Co-authored-by: Ines Montani <ines@ines.io>
2020-01-29 17:06:46 +01:00
Ines Montani
a892821c51 More formatting changes 2019-12-25 17:59:52 +01:00
Ines Montani
33a2682d60
Add better schemas and validation using Pydantic (#4831)
* 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

* Add better schemas and validation using Pydantic

* Revert lookups.md

* Remove unused import

* Update spacy/schemas.py

Co-Authored-By: Sebastián Ramírez <tiangolo@gmail.com>

* Various small fixes

* Fix docstring

Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>
2019-12-25 12:39:49 +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
Ines Montani
5b36dec7eb Auto-exclude disabled when calling from_disk during load (#4708) 2019-11-25 16:01:22 +01:00
Matthew Honnibal
a3c43a1692
Support no hidden layer in parser and NER (#4672)
* Support no hidden layers for parser

* Fix parser model for depth 1

* Fix parser for hidden depth=0

* Add option of non-blocking to CUDA stream
2019-11-19 15:54:34 +01:00
adrianeboyd
faaa832518 Generalize handling of tokenizer special cases (#4259)
* Generalize handling of tokenizer special cases

Handle tokenizer special cases more generally by using the Matcher
internally to match special cases after the affix/token_match
tokenization is complete.

Instead of only matching special cases while processing balanced or
nearly balanced prefixes and suffixes, this recognizes special cases in
a wider range of contexts:

* Allows arbitrary numbers of prefixes/affixes around special cases
* Allows special cases separated by infixes

Existing tests/settings that couldn't be preserved as before:

* The emoticon '")' is no longer a supported special case
* The emoticon ':)' in "example:)" is a false positive again

When merged with #4258 (or the relevant cache bugfix), the affix and
token_match properties should be modified to flush and reload all
special cases to use the updated internal tokenization with the Matcher.

* Remove accidentally added test case

* Really remove accidentally added test

* Reload special cases when necessary

Reload special cases when affixes or token_match are modified. Skip
reloading during initialization.

* Update error code number

* Fix offset and whitespace in Matcher special cases

* Fix offset bugs when merging and splitting tokens
* Set final whitespace on final token in inserted special case

* Improve cache flushing in tokenizer

* Separate cache and specials memory (temporarily)
* Flush cache when adding special cases
* Repeated `self._cache = PreshMap()` and `self._specials = PreshMap()`
are necessary due to this bug:
https://github.com/explosion/preshed/issues/21

* Remove reinitialized PreshMaps on cache flush

* Update UD bin scripts

* Update imports for `bin/`
* Add all currently supported languages
* Update subtok merger for new Matcher validation
* Modify blinded check to look at tokens instead of lemmas (for corpora
with tokens but not lemmas like Telugu)

* Use special Matcher only for cases with affixes

* Reinsert specials cache checks during normal tokenization for special
cases as much as possible
  * Additionally include specials cache checks while splitting on infixes
  * Since the special Matcher needs consistent affix-only tokenization
    for the special cases themselves, introduce the argument
    `with_special_cases` in order to do tokenization with or without
    specials cache checks
* After normal tokenization, postprocess with special cases Matcher for
special cases containing affixes

* Replace PhraseMatcher with Aho-Corasick

Replace PhraseMatcher with the Aho-Corasick algorithm over numpy arrays
of the hash values for the relevant attribute. The implementation is
based on FlashText.

The speed should be similar to the previous PhraseMatcher. It is now
possible to easily remove match IDs and matches don't go missing with
large keyword lists / vocabularies.

Fixes #4308.

* Restore support for pickling

* Fix internal keyword add/remove for numpy arrays

* Add test for #4248, clean up test

* Improve efficiency of special cases handling

* Use PhraseMatcher instead of Matcher
* Improve efficiency of merging/splitting special cases in document
  * Process merge/splits in one pass without repeated token shifting
  * Merge in place if no splits

* Update error message number

* Remove UD script modifications

Only used for timing/testing, should be a separate PR

* Remove final traces of UD script modifications

* Update UD bin scripts

* Update imports for `bin/`
* Add all currently supported languages
* Update subtok merger for new Matcher validation
* Modify blinded check to look at tokens instead of lemmas (for corpora
with tokens but not lemmas like Telugu)

* Add missing loop for match ID set in search loop

* Remove cruft in matching loop for partial matches

There was a bit of unnecessary code left over from FlashText in the
matching loop to handle partial token matches, which we don't have with
PhraseMatcher.

* Replace dict trie with MapStruct trie

* Fix how match ID hash is stored/added

* Update fix for match ID vocab

* Switch from map_get_unless_missing to map_get

* Switch from numpy array to Token.get_struct_attr

Access token attributes directly in Doc instead of making a copy of the
relevant values in a numpy array.

Add unsatisfactory warning for hash collision with reserved terminal
hash key. (Ideally it would change the reserved terminal hash and redo
the whole trie, but for now, I'm hoping there won't be collisions.)

* Restructure imports to export find_matches

* Implement full remove()

Remove unnecessary trie paths and free unused maps.

Parallel to Matcher, raise KeyError when attempting to remove a match ID
that has not been added.

* Switch to PhraseMatcher.find_matches

* Switch to local cdef functions for span filtering

* Switch special case reload threshold to variable

Refer to variable instead of hard-coded threshold

* Move more of special case retokenize to cdef nogil

Move as much of the special case retokenization to nogil as possible.

* Rewrap sort as stdsort for OS X

* Rewrap stdsort with specific types

* Switch to qsort

* Fix merge

* Improve cmp functions

* Fix realloc

* Fix realloc again

* Initialize span struct while retokenizing

* Temporarily skip retokenizing

* Revert "Move more of special case retokenize to cdef nogil"

This reverts commit 0b7e52c797.

* Revert "Switch to qsort"

This reverts commit a98d71a942.

* Fix specials check while caching

* Modify URL test with emoticons

The multiple suffix tests result in the emoticon `:>`, which is now
retokenized into one token as a special case after the suffixes are
split off.

* Refactor _apply_special_cases()

* Use cdef ints for span info used in multiple spots

* Modify _filter_special_spans() to prefer earlier

Parallel to #4414, modify _filter_special_spans() so that the earlier
span is preferred for overlapping spans of the same length.

* Replace MatchStruct with Entity

Replace MatchStruct with Entity since the existing Entity struct is
nearly identical.

* Replace Entity with more general SpanC

* Replace MatchStruct with SpanC

* Add error in debug-data if no dev docs are available (see #4575)

* Update azure-pipelines.yml

* Revert "Update azure-pipelines.yml"

This reverts commit ed1060cf59.

* Use latest wasabi

* Reorganise install_requires

* add dframcy to universe.json (#4580)

* Update universe.json [ci skip]

* Fix multiprocessing for as_tuples=True (#4582)

* Fix conllu script (#4579)

* force extensions to avoid clash between example scripts

* fix arg order and default file encoding

* add example config for conllu script

* newline

* move extension definitions to main function

* few more encodings fixes

* Add load_from_docbin example [ci skip]

TODO: upload the file somewhere

* Update README.md

* Add warnings about 3.8 (resolves #4593) [ci skip]

* Fixed typo: Added space between "recognize" and "various" (#4600)

* Fix DocBin.merge() example (#4599)

* Replace function registries with catalogue (#4584)

* Replace functions registries with catalogue

* Update __init__.py

* Fix test

* Revert unrelated flag [ci skip]

* Bugfix/dep matcher issue 4590 (#4601)

* add contributor agreement for prilopes

* add test for issue #4590

* fix on_match params for DependencyMacther (#4590)

* Minor updates to language example sentences (#4608)

* Add punctuation to Spanish example sentences

* Combine multilanguage examples for lang xx

* Add punctuation to nb examples

* Always realloc to a larger size

Avoid potential (unlikely) edge case and cymem error seen in #4604.

* Add error in debug-data if no dev docs are available (see #4575)

* Update debug-data for GoldCorpus / Example

* Ignore None label in misaligned NER data
2019-11-13 21:24:35 +01:00
Sofie Van Landeghem
e48a09df4e Example class for training data (#4543)
* OrigAnnot class instead of gold.orig_annot list of zipped tuples

* from_orig to replace from_annot_tuples

* rename to RawAnnot

* some unit tests for GoldParse creation and internal format

* removing orig_annot and switching to lists instead of tuple

* rewriting tuples to use RawAnnot (+ debug statements, WIP)

* fix pop() changing the data

* small fixes

* pop-append fixes

* return RawAnnot for existing GoldParse to have uniform interface

* clean up imports

* fix merge_sents

* add unit test for 4402 with new structure (not working yet)

* introduce DocAnnot

* typo fixes

* add unit test for merge_sents

* rename from_orig to from_raw

* fixing unit tests

* fix nn parser

* read_annots to produce text, doc_annot pairs

* _make_golds fix

* rename golds_to_gold_annots

* small fixes

* fix encoding

* have golds_to_gold_annots use DocAnnot

* missed a spot

* merge_sents as function in DocAnnot

* allow specifying only part of the token-level annotations

* refactor with Example class + underlying dicts

* pipeline components to work with Example objects (wip)

* input checking

* fix yielding

* fix calls to update

* small fixes

* fix scorer unit test with new format

* fix kwargs order

* fixes for ud and conllu scripts

* fix reading data for conllu script

* add in proper errors (not fixed numbering yet to avoid merge conflicts)

* fixing few more small bugs

* fix EL script
2019-11-11 17:35:27 +01:00
Ines Montani
09cec3e41b
Replace function registries with catalogue (#4584)
* Replace functions registries with catalogue

* Update __init__.py

* Fix test

* Revert unrelated flag [ci skip]
2019-11-07 11:45:22 +01:00
Sofie Van Landeghem
33ba9ff464 set encodings explicitly to utf8 (#4551) 2019-10-29 13:16:55 +01:00
Ines Montani
a9c6104047 Component decorator and component analysis (#4517)
* Add work in progress

* Update analysis helpers and component decorator

* Fix porting of docstrings for Python 2

* Fix docstring stuff on Python 2

* Support meta factories when loading model

* Put auto pipeline analysis behind flag for now

* Analyse pipes on remove_pipe and replace_pipe

* Move analysis to root for now

Try to find a better place for it, but it needs to go for now to avoid circular imports

* Simplify decorator

Don't return a wrapped class and instead just write to the object

* Update existing components and factories

* Add condition in factory for classes vs. functions

* Add missing from_nlp classmethods

* Add "retokenizes" to printed overview

* Update assigns/requires declarations of builtins

* Only return data if no_print is enabled

* Use multiline table for overview

* Don't support Span

* Rewrite errors/warnings and move them to spacy.errors
2019-10-27 13:35:49 +01:00
Matthew Honnibal
406eb95a47
Refactor Tok2Vec to use architecture registry (#4518)
* Add refactored tok2vec, using register_architecture

* Refactor Tok2Vec

* Fix ml

* Fix new tok2vec

* Move make_layer to util

* Add wire

* Fix missing import
2019-10-25 22:28:20 +02:00
adrianeboyd
6f54e59fe7 Fix util.filter_spans() to prefer first span in overlapping sam… (#4414)
* Update util.filter_spans() to prefer earlier spans

* Add filter_spans test for first same-length span

* Update entity relation example to refer to util.filter_spans()
2019-10-10 17:00:03 +02:00
Ines Montani
c4f95c1569 Update formatting and docstrings [ci skip] 2019-10-08 12:25:23 +02:00
Matthew Honnibal
ddd6fda59c Add registry for model creation functions ('architectures') (#4395)
* Add architecture registry

* Add test for arch registry

* Add error for model architectures
2019-10-08 12:21:03 +02:00
Ines Montani
9cd6ca3e4d Improve usage of pkg_resources and handling of entry points (#4387)
* Only import pkg_resources where it's needed

Apparently it's really slow

* Use importlib_metadata for entry points

* Revert "Only import pkg_resources where it's needed"

This reverts commit 5ed8c03afa.

* Revert "Revert "Only import pkg_resources where it's needed""

This reverts commit 8b30b57957.

* Revert "Use importlib_metadata for entry points"

This reverts commit 9f071f5c40.

* Revert "Revert "Use importlib_metadata for entry points""

This reverts commit 02e12a17ec.

* Skip test that weirdly hangs

* Fix hanging test by using global
2019-10-07 17:22:09 +02:00
Ines Montani
cf65a80f36 Refactor lemmatizer and data table integration (#4353)
* Move test

* Allow default in Lookups.get_table

* Start with blank tables in Lookups.from_bytes

* Refactor lemmatizer to hold instance of Lookups

* Get lookups table within the lemmatization methods to make sure it references the correct table (even if the table was replaced or modified, e.g. when loading a model from disk)
* Deprecate other arguments on Lemmatizer.__init__ and expect Lookups for consistency
* Remove old and unsupported Lemmatizer.load classmethod
* Refactor language-specific lemmatizers to inherit as much as possible from base class and override only what they need

* Update tests and docs

* Fix more tests

* Fix lemmatizer

* Upgrade pytest to try and fix weird CI errors

* Try pytest 4.6.5
2019-10-01 21:36:03 +02:00
Ines Montani
e0cf4796a5 Move lookup tables out of the core library (#4346)
* Add default to util.get_entry_point

* Tidy up entry points

* Read lookups from entry points

* Remove lookup tables and related tests

* Add lookups install option

* Remove lemmatizer tests

* Remove logic to process language data files

* Update setup.cfg
2019-10-01 00:01:27 +02:00
Ines Montani
16aa092fb5 Improve Morphology errors (#4314)
* Improve Morphology errors

* Also clean up some other errors

* Update errors.py
2019-09-21 14:37:06 +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
5ca7dd0f94
💫 WIP: Basic lookup class scaffolding and JSON for all lemmati… (#4167)
* 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
2019-08-22 14:21:32 +02:00
Paul O'Leary McCann
756b66b7c0 Reduce size of language data (#4141)
* Move Turkish lemmas to a json file

Rather than a large dict in Python source, the data is now a big json
file. This includes a method for loading the json file, falling back to
a compressed file, and an update to MANIFEST.in that excludes json in
the spacy/lang directory.

This focuses on Turkish specifically because it has the most language
data in core.

* Transition all lemmatizer.py files to json

This covers all lemmatizer.py files of a significant size (>500k or so).
Small files were left alone.

None of the affected files have logic, so this was pretty
straightforward.

One unusual thing is that the lemma data for Urdu doesn't seem to be
used anywhere. That may require further investigation.

* Move large lang data to json for fr/nb/nl/sv

These are the languages that use a lemmatizer directory (rather than a
single file) and are larger than English.

For most of these languages there were many language data files, in
which case only the large ones (>500k or so) were converted to json. It
may or may not be a good idea to migrate the remaining Python files to
json in the future.

* Fix id lemmas.json

The contents of this file were originally just copied from the Python
source, but that used single quotes, so it had to be properly converted
to json first.

* Add .json.gz to gitignore

This covers the json.gz files built as part of distribution.

* Add language data gzip to build process

Currently this gzip data on every build; it works, but it should be
changed to only gzip when the source file has been updated.

* Remove Danish lemmatizer.py

Missed this when I added the json.

* Update to match latest explosion/srsly#9

The way gzipped json is loaded/saved in srsly changed a bit.

* Only compress language data if necessary

If a .json.gz file exists and is newer than the corresponding json file,
it's not recompressed.

* Move en/el language data to json

This only affected files >500kb, which was nouns for both languages and
the generic lookup table for English.

* Remove empty files in Norwegian tokenizer

It's unclear why, but the Norwegian (nb) tokenizer had empty files for
adj/adv/noun/verb lemmas. This may have been a result of copying the
structure of the English lemmatizer.

This removed the files, but still creates the empty sets in the
lemmatizer. That may not actually be necessary.

* Remove dubious entries in English lookup.json

" furthest" and " skilled" - both prefixed with a space - were in the
English lookup table. That seems obviously wrong so I have removed them.

* Fix small issues with en/fr lemmatizers

The en tokenizer was including the removed _nouns.py file, so that's
removed.

The fr tokenizer is unusual in that it has a lemmatizer directory with
both __init__.py and lemmatizer.py. lemmatizer.py had not been converted
to load the json language data, so that was fixed.

* Auto-format

* Auto-format

* Update srsly pin

* Consistently use pathlib paths
2019-08-20 14:54:11 +02:00
Ines Montani
307ffe472d
Support custom language factory setting in meta.json (#4031) 2019-07-27 13:17:43 +02:00
Ines Montani
a7fd42d937 Make jsonschema dependency optional (#3784) 2019-05-30 14:34:58 +02:00
Ines Montani
505c9e0e19 Add util.filter_spans helper (#3686) 2019-05-08 02:33:40 +02:00
Ines Montani
78cb807a9a Auto-format [ci skip] 2019-05-06 16:58:29 +02:00
Samuel Kane
06a1846379 fix(util): fix decaying function output (#3495)
* fix(util): fix decaying function output

* fix(util): better test and adhere to code standards

* fix(util): correct variable name, pytestify test, update website text
2019-03-28 13:24:47 +01:00
Ines Montani
cdd418b93e Auto-format [ci skip] 2019-03-11 17:10:50 +01:00
Matthew Honnibal
39a4741e26 Add support for vocab.writing_system property (#3390)
* Add xfail test for vocab.writing_system

* Add vocab.writing_system property

* Set Language.Defaults.writing_system

* Set default writing system

* Remove xfail on test_vocab_writing_system
2019-03-11 15:23:20 +01:00
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
Ines Montani
2011563c51 Update docstrings [ci skip] 2019-02-24 18:39:59 +01:00
Ines Montani
1ea1bc98e7 Document regex utilities [ci skip] 2019-02-24 18:34:10 +01:00
Ines Montani
60c2a3bb65 Also raise original error message in util.get_lang_class
Otherwise, the true error that happens within a Language subclass is swallowed, because if it's imported lazily like that, it'll always be an ImportError
2019-02-13 16:52:25 +01:00
Ines Montani
483dddc9bc 💫 Add token match pattern validation via JSON schemas (#3244)
* Add custom MatchPatternError

* Improve validators and add validation option to Matcher

* Adjust formatting

* Never validate in Matcher within PhraseMatcher

If we do decide to make validate default to True, the PhraseMatcher's Matcher shouldn't ever validate. Here, we create the patterns automatically anyways (and it's currently unclear whether the validation has performance impacts at a very large scale).
2019-02-13 01:47:26 +11:00
Ines Montani
77efee0295 Auto-format 2019-02-07 21:00:04 +01:00
Ines Montani
5d0b60999d Merge branch 'master' into develop 2019-02-07 20:54:07 +01:00
Ines Montani
338d659bd0 Store JSON schemas in Python and tidy up (#3235) 2019-02-07 19:44:31 +11:00
Sofie
46dfe773e1 Replacing regex library with re to increase tokenization speed (#3218)
* replace unicode categories with raw list of code points

* simplifying ranges

* fixing variable length quotes

* removing redundant regular expression

* small cleanup of regexp notations

* quotes and alpha as ranges instead of alterations

* removed most regexp dependencies and features

* exponential backtracking - unit tests

* rewrote expression with pathological backtracking

* disabling double hyphen tests for now

* test additional variants of repeating punctuation

* remove regex and redundant backslashes from load_reddit script

* small typo fixes

* disable double punctuation test for russian

* clean up old comments

* format block code

* final cleanup

* naming consistency

* french strings as unicode for python 2 support

* french regular expression case insensitive
2019-02-01 18:05:22 +11:00
Ines Montani
e9a6dbe4f3
Don't check for Jupyter in global scope and fix check (#3213)
Resolves #3208.

Prevent interactions with other libraries (pandas) that also access `get_ipython().config` and its parameters. See #3208 for details. I don't fully understand why this happens, but in spaCy, we can at least make sure we avoid calling into this method.

<!--- 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] -->
- [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.
2019-01-31 23:49:13 +01:00
Kirill Bulygin
7b064542f7 Making lang/th/test_tokenizer.py pass by creating ThaiTokenizer (#3078) 2019-01-10 15:40:37 +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
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
11a29af751 Set cupy.random seed in fix_random_seed helper 2018-12-08 12:37:38 +01:00
Matthew Honnibal
1c71fdb805 Remove cytoolz usage from spaCy 2018-12-03 02:19:12 +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
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
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
eddeb36c96
💫 Tidy up and auto-format .py files (#2983)
<!--- Provide a general summary of your changes in the title. -->

## Description
- [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files.
- [x] Update flake8 config to exclude very large files (lemmatization tables etc.)
- [x] Update code to be compatible with flake8 rules
- [x] Fix various small bugs, inconsistencies and messy stuff in the language data
- [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means)

Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results.

At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information.

### Types of change
enhancement, code style

## 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.
2018-11-30 17:03:03 +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
Matthew Honnibal
3e7b214e57 Make pretrain script work with stream from stdin 2018-11-15 22:44:07 +00:00
Matthew Honnibal
6430b1fe64 Restore encoding arg on msgpack-numpy 2018-09-27 15:58:21 +02:00
Matthew Honnibal
8809dc4514 Remove deprecated encoding argument to msgpack 2018-09-27 12:56:23 +02:00
Matthew Honnibal
5afd98dff5 Add a stepping function, for changing batch sizes or learning rates 2018-09-14 18:37:16 +02:00
ines
3c30d1763c Merge branch 'master' into develop 2018-07-21 15:34:18 +02:00
Matthew Honnibal
e0caf3ae8c Fix msgpack for new version 2018-07-20 17:32:00 +02:00
Ines Montani
e7b075565d
💫 Rule-based NER component (#2513)
* Add helper function for reading in JSONL

* Add rule-based NER component

* Fix whitespace

* Add component to factories

* Add tests

* Add option to disable indent on json_dumps compat

Otherwise, reading JSONL back in line by line won't work

* Fix error code
2018-07-18 19:43:16 +02:00
ines
3c3a175018 Merge branch 'master' into develop 2018-05-28 18:37:09 +02:00
ansgar-t
9732988951 escape html in displacy.render (#2378) (closes #2361)
## Description
Fix for issue #2361 :
replace &, <, >, " with &amp;amp; , &amp;lt; , &amp;gt; , &amp;quot; in before rendering svg

## 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.
- [ ] I ran the tests, and all new and existing tests passed.
(As discussed in the comments to #2361)
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-05-28 18:36:41 +02:00
Ines Montani
862da5e793 Support pipeline factories via entry points (#2348) 2018-05-22 18:29:45 +02:00
ines
5401c55c75 Merge branch 'master' into develop 2018-05-20 16:49:40 +02:00
ines
5768df4f09 Add SimpleFrozenDict util to use as default function argument 2018-05-20 15:13:37 +02:00
Matthew Honnibal
2c4a6d66fa Merge master into develop. Big merge, many conflicts -- need to review 2018-04-29 14:49:26 +02:00
Ines Montani
3141e04822
💫 New system for error messages and warnings (#2163)
* Add spacy.errors module

* Update deprecation and user warnings

* Replace errors and asserts with new error message system

* Remove redundant asserts

* Fix whitespace

* Add messages for print/util.prints statements

* Fix typo

* Fix typos

* Move CLI messages to spacy.cli._messages

* Add decorator to display error code with message

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

* Remove unused link in spacy.about

* Update errors for invalid pipeline components

* Improve error for unknown factories

* Add displaCy warnings

* Update formatting consistency

* Move error message to spacy.errors

* Update errors and check if doc returned by component is None
2018-04-03 15:50:31 +02:00
Matthew Honnibal
8308bbc617 Get msgpack and msgpack_numpy via Thinc, to avoid potential version conflicts 2018-03-29 00:14:55 +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
8b7a74570f Revert "Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop""
This reverts commit f41e626844.
2018-03-27 19:22:52 +02:00
Matthew Honnibal
f41e626844 Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop"
This reverts commit c9ba3d3c2d, reversing
changes made to f57bfbccdc.
2018-03-27 19:22:25 +02:00
Matthew Honnibal
c9ba3d3c2d Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2018-03-27 18:59:08 +02:00
Matthew Honnibal
92c26a35d4 Update get_cuda_stream 2018-03-27 16:42:00 +00:00
Matthew Honnibal
bede11b67c
Improve label management in parser and NER (#2108)
This patch does a few smallish things that tighten up the training workflow a little, and allow memory use during training to be reduced by letting the GoldCorpus stream data properly.

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

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

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

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

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

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

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

* Simplify label management for TransitionSystem and its subclasses

* Fix serialization for new label handling format in parser

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

* Set actions in transition system

* Require thinc 6.11.1.dev4

* Fix error in parser init

* Add unicode declaration

* Fix unicode declaration

* Update textcat test

* Try to get model training on less memory

* Print json loc for now

* Try rapidjson to reduce memory use

* Remove rapidjson requirement

* Try rapidjson for reduced mem usage

* Handle None heads when projectivising

* Stream json docs

* Fix train script

* Handle projectivity in GoldParse

* Fix projectivity handling

* Add minibatch_by_words util from ud_train

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

* Move minibatch_by_words util to spacy.util

* Fix label handling

* More hacking at label management in parser

* Fix encoding in msgpack serialization in GoldParse

* Adjust batch sizes in parser training

* Fix minibatch_by_words

* Add merge_subtokens function to pipeline.pyx

* Register merge_subtokens factory

* Restore use of msgpack tmp directory

* Use minibatch-by-words in train

* Handle retokenization in scorer

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

* Update NER for new label management

* Set NER tags for over-segmented words

* Fix label alignment in gold

* Fix label back-off for infrequent labels

* Fix int type in labels dict key

* Fix int type in labels dict key

* Update feature definition for 8 feature set

* Update ud-train script for new label stuff

* Fix json streamer

* Print the line number if conll eval fails

* Update children and sentence boundaries after deprojectivisation

* Export set_children_from_heads from doc.pxd

* Render parses during UD training

* Remove print statement

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

* Set different dev version, to flush pip cache

* Update thinc version

* Update GoldCorpus docs

* Remove print statements

* Fix formatting and links [ci skip]
2018-03-19 02:58:08 +01:00
Matthew Honnibal
31b156d60b Fix itershuffle 2018-03-10 22:32:59 +01:00
Johannes Dollinger
012e874d09 Add contributor agreement for emulbreh 2018-02-13 13:40:33 +01:00
Johannes Dollinger
bf94c13382 Don't fix random seeds on import 2018-02-13 12:42:23 +01:00
ines
35653bef3a Add missing import (fixes #1546) 2017-11-10 19:05:18 +01:00
Matthew Honnibal
726f689da4 Fix missing import 2017-11-07 13:20:12 +01:00
ines
8fb48b9b91 Update and document new util functions 2017-11-07 00:22:43 +01:00
Matthew Honnibal
1cab703bba Move minibatch function to util 2017-11-06 23:45:36 +01:00
ines
39e0586192 Add deprecated helper
Uses warning to show DeprecationWarning and custom stack trace
2017-11-01 16:32:36 +01:00
Matthew Honnibal
a7bf38bf31 Remove misleading comment on util.get_cuda_stream() 2017-11-01 13:57:25 +01:00
ines
ea4a41c8fb Tidy up util and helpers 2017-10-27 14:39:09 +02:00
Matthew Honnibal
9baa8fe7ec Convert closure to functools.partial, to promote pickling 2017-10-17 18:20:52 +02:00
Matthew Honnibal
df488274b1 Fix deserialization of vectors 2017-10-16 20:55:00 +02:00
ines
d5418553eb Fix whitespace 2017-10-16 18:30:04 +02:00
ines
6ceadcdb5c Make sure from_disk passes string to numpy (see #1421)
If path is a WindowsPath, numpy does not recognise it as a path and as
a result, doesn't open the file.
https://github.com/numpy/numpy/blob/master/numpy/lib/npyio.py#L369
2017-10-16 18:29:56 +02:00
ines
b39409173e Add disable option and True/False/None values for pipeline 2017-10-07 00:29:08 +02:00
ines
212c8f0711 Implement new Language methods and pipeline API 2017-10-07 00:25:54 +02:00
Matthew Honnibal
f24c2e3a8a Fix evaluate for non-GPU 2017-10-03 22:47:31 +02:00
ines
8dbe49ecb8 Always compare lowercase package names
Otherwise, is_package will return False if model name contains
uppercase characters. See this issue:
https://support.prodi.gy/t/saving-a-trained-ner-model-as-a-loadable-modu
le/46/6
2017-09-29 20:55:17 +02:00
ines
153c2589d4 Revert "Always compare lowercase package names"
This reverts commit 7d77dc490f.
2017-09-29 20:53:36 +02:00
ines
7d77dc490f Always compare lowercase package names
Otherwise, is_package will return False if model name contains
uppercase characters. See this issue:
https://support.prodi.gy/t/saving-a-trained-ner-model-as-a-loadable-modu
le/46/6
2017-09-29 20:52:28 +02:00
Matthew Honnibal
ffda38356a Add util function to enable GPU 2017-09-20 19:16:35 -05:00
ines
68f66aebf8 Use pkg_resources instead of pip for is_package (resolves #1293) 2017-09-16 20:27:59 +02:00
Matthew Honnibal
30e35d9666 Fix syntax error 2017-08-30 17:35:39 -05:00
ines
173089a45a Add more validation for model meta 2017-08-29 11:21:46 +02:00
Matthew Honnibal
ed95009b5c Fix data loading on Python 2 2017-08-18 21:57:06 +02:00
Dan O'Huiginn
ebf5a3ce59 Allow loading with python < 3.6
Don't rely on recent python features to load models

Fixes Issue #1271
2017-08-17 15:15:47 +00:00
ines
ea167e14db Fix model package loading from link 2017-06-05 13:10:49 +02:00
ines
dd6dc4c120 Update spacy.load() helper functions 2017-06-05 13:02:31 +02:00
ines
7db1a0e83e Make sure printed values are always strings 2017-06-04 21:27:20 +02:00
ines
070e026ed9 Ensure path on read_json 2017-06-04 20:44:37 +02:00
ines
e1e73936b1 Raise correct error 2017-06-04 20:44:27 +02:00
ines
4c2bbc3ccc Add add_lookups util function 2017-06-03 19:44:47 +02:00
ines
924c58bde3 Fix serialization of optional elements 2017-06-02 18:18:17 +02:00
Matthew Honnibal
1d18cedae8 Fiddle with msgpack bytes vs unicode 2017-06-01 10:48:43 -05:00
Matthew Honnibal
3ff7d7fcef Merge for updated requirements 2017-06-01 04:57:47 -05:00
Matthew Honnibal
ae8010b526 Move weight serialization to Thinc 2017-06-01 02:56:12 -05:00
Matthew Honnibal
c8a58cfcf8 Fix Python2/3 load bug 2017-05-31 15:21:44 -05:00
Matthew Honnibal
8dfb9546f0 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-05-31 07:21:14 -05:00
Matthew Honnibal
92f9e5cc9a Silence env_opt, and fix serialization for GPU 2017-05-31 07:14:11 -05:00
Matthew Honnibal
33e5ec737f Fix to/from disk methods 2017-05-31 13:43:10 +02:00
Matthew Honnibal
2a061e2777 Fix serialisation, for reals this time 2017-05-29 17:52:08 -05:00
Matthew Honnibal
35d981241f Fix model deserialization 2017-05-29 14:46:31 -05:00
Matthew Honnibal
5b29f227ae Fix serialization 2017-05-29 14:35:53 -05:00
Matthew Honnibal
1e6df0a2a1 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-05-29 14:30:12 -05:00
ines
08382f21e3 Pass model meta to nlp object in load_model 2017-05-29 20:44:11 +02:00
Matthew Honnibal
f1acdaab55 Fix serialization of weight offsets 2017-05-29 13:23:11 -05:00
Matthew Honnibal
c044e9c21c Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-05-29 08:41:02 -05:00
Matthew Honnibal
aa4c33914b Work on serialization 2017-05-29 08:40:45 -05:00
ines
567485a818 Fix and document model loading with pipeline and overrides 2017-05-29 14:10:10 +02:00
Matthew Honnibal
deac7eb01c Fix for serialization 2017-05-29 13:54:18 +02:00
Matthew Honnibal
04c32aa091 Fix for serialization 2017-05-29 13:53:32 +02:00
Matthew Honnibal
a1960c2d09 Fix for serialization 2017-05-29 13:47:42 +02:00
Matthew Honnibal
7b06bb896e Fix for serialization 2017-05-29 13:42:55 +02:00
Matthew Honnibal
f4aafca222 Merge changes to test_misc 2017-05-29 12:26:02 +02:00
Matthew Honnibal
ff26aa6c37 Work on to/from bytes/disk serialization methods 2017-05-29 11:45:45 +02:00
ines
df920ba0e7 Add tests for displaCy and util functions and fix util typo 2017-05-29 10:51:19 +02:00
Matthew Honnibal
c91b121aeb Move serialization functions to util 2017-05-29 10:13:42 +02:00
Matthew Honnibal
6dad4117ad Work on serialization for models 2017-05-29 01:37:57 +02:00
ines
c1983621fb Update util functions for model loading 2017-05-28 00:22:40 +02:00
ines
c8543c8237 Fix formatting and docstrings and remove deprecated function 2017-05-28 00:22:40 +02:00
ines
51882c4984 Fix formatting 2017-05-26 12:37:45 +02:00
Matthew Honnibal
80cf42e33b Fix compounding and decaying utils 2017-05-25 17:15:39 -05:00
Matthew Honnibal
b9cea9cd93 Add compounding and decaying functions 2017-05-25 16:16:10 -05:00
ines
b5fb43fdd8 Allow sys.exit status as exits keyword arg in util.prints() 2017-05-22 12:29:15 +02:00
Matthew Honnibal
5db89053aa Merge docstrings 2017-05-21 13:46:23 -05:00
Matthew Honnibal
0731971bfc Add itershuffle utility function. Maybe belongs in thinc 2017-05-21 09:05:05 -05:00
ines
3871157d84 Update spacy.util documentation 2017-05-21 01:12:09 +02:00
Matthew Honnibal
238be0f16a Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-05-18 08:32:22 -05:00
Matthew Honnibal
c214c0decb Improve env_opt reporting 2017-05-18 08:32:03 -05:00
ines
489d2fb4ba Add is_in_jupyter() helper for displaCy (see #1058) 2017-05-18 14:13:14 +02:00
ines
abf0188b0a Move cupy and CudaStream to compat 2017-05-18 14:12:45 +02:00
Matthew Honnibal
fc8d3a112c Add util.env_opt support: Can set hyper params through environment variables. 2017-05-18 04:36:53 -05:00
Matthew Honnibal
1d7c18e58a Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-05-15 21:53:47 +02:00
Matthew Honnibal
a9edb3aa1d Improve integration of NN parser, to support unified training API 2017-05-15 21:53:27 +02:00
ines
c31792aaec Add displaCy visualisers (see #1058) 2017-05-14 17:50:23 +02:00
ines
b462076d80 Merge load_lang_class and get_lang_class 2017-05-14 01:31:10 +02:00
ines
36bebe7164 Update docstrings 2017-05-14 01:30:29 +02:00
Matthew Honnibal
4b9d69f428 Merge branch 'v2' into develop
* Move v2 parser into nn_parser.pyx
* New TokenVectorEncoder class in pipeline.pyx
* New spacy/_ml.py module

Currently the two parsers live side-by-side, until we figure out how to
organize them.
2017-05-14 01:10:23 +02:00
Matthew Honnibal
f8c02b4341 Remove cupy imports from parser, so it can work on CPU 2017-05-14 00:37:53 +02:00
ines
1694c24e52 Add docstrings, error messages and fix consistency 2017-05-13 21:22:49 +02:00
ines
ee7dcf65c9 Fix expand_exc to make sure it returns combined dict 2017-05-13 21:22:25 +02:00
ines
824d09bb74 Move resolve_load_name to deprecated 2017-05-13 21:21:47 +02:00
ines
c4857bc7db Remove unused argument 2017-05-12 15:37:54 +02:00
ines
86d9c29f30 Reorder util functions 2017-05-08 23:51:15 +02:00
ines
9a0d2fdef1 Add load_lang_class() util function 2017-05-08 23:50:45 +02:00
ines
2edc0aee12 Update warning message 2017-05-08 19:53:36 +02:00
ines
b9ba58ba5c Add function to resolve load name
Warn if old 'path' keyword argument is used.
2017-05-08 16:33:37 +02:00
ines
607ba458e7 Fix whitespace 2017-05-08 15:42:31 +02:00
ines
60db497525 Add update_exc and expand_exc to util
Doesn't require separate language data util anymore
2017-05-08 15:42:12 +02:00
ines
95edd9e896 Let parse_package_meta take full path 2017-05-08 15:30:48 +02:00
ines
326746eb15 Add util function to resolve arg to model path
1. check if in data dir or shortcut link
2. check if installed as a pip package
3. check if string is path to model
4. check if Path or Path-like object
2017-05-08 15:29:47 +02:00
ines
94697e9afc Fix typo 2017-05-08 02:00:37 +02:00
ines
c4492d260a Fix kwargs 2017-05-08 01:05:24 +02:00
ines
59c3b9d4dd Tidy up CLI and fix print functions 2017-05-07 23:25:29 +02:00
ines
e34069db9f Move is_package and get_model_package_path to util 2017-05-07 23:24:51 +02:00
Ben Eyal
d8098a8be2 Use regex instead of re 2017-04-20 02:22:52 +03:00
ines
97647c46cd Add docstring and todo note 2017-04-16 22:14:45 +02:00
ines
5c5f8c0a72 Check if full string is found in lang classes first
This allows users to set arbitrary strings. (Otherwise, custom lang
class "my_custom_class" would always load Burmese "my" tokenizer if one
was available.)
2017-04-16 22:14:38 +02:00
ines
1f9f867c70 Remove unused util function 2017-04-16 20:37:45 +02:00
ines
ed7e19ad68 Remove unused import 2017-04-16 20:37:45 +02:00
ines
0084466a66 Remove unused utf8open util and replace os.path with ensure_path 2017-04-16 20:37:45 +02:00
ines
d10bd0eaf9 Fix formatting 2017-04-16 13:42:34 +02:00
ines
31fa73293a Move read_json out to own util function 2017-04-16 13:03:28 +02:00
Matthew Honnibal
e6ee7e130f Fix parse package meta 2017-04-15 13:38:53 +02:00
ines
e1efd589c3 Fix json imports and use ujson 2017-04-15 12:13:34 +02:00
ines
956dc36785 Move functions to deprecated 2017-04-15 12:12:31 +02:00
ines
c05ec4b89a Add compat functions and remove old workarounds
Add ensure_path util function to handle checking instance of path
2017-04-15 12:11:16 +02:00
ines
d24589aa72 Clean up imports, unused code, whitespace, docstrings 2017-04-15 12:05:47 +02:00
ines
75f9b4c6e2 Fix whitespace 2017-04-07 10:22:18 +02:00
ines
fdec758113 Add is_windows and is_python2 utility functions 2017-03-25 14:04:02 +01:00
ines
3f20efe165 Merge branch 'develop'
# Conflicts:
#	spacy/util.py
2017-03-22 17:14:15 +01:00
Raphaël Bournhonesque
f332bf05be Remove unused import statements 2017-03-21 21:08:54 +01:00
ines
5aea327a5b Add util function to get raw user input 2017-03-20 22:48:56 +01:00
ines
a6c0361803 Handle raw_input vs input in Python 2 and 3 2017-03-20 22:48:32 +01:00
ines
adbcac6591 Fix spacing 2017-03-20 22:48:21 +01:00
ines
0eafc0f2c6 Add util functions to print data as table or markdown list 2017-03-18 13:00:14 +01:00
Matthew Honnibal
adb0b7e43b Fix loading when no package found 2017-03-16 18:30:23 -05:00
ines
3d484c3faf Don't print in parse_package_meta and accept on_erro callback instead
TODO: log warning for missing meta data in spacy.link, as this affects
the Language class returned by spacy.load()
2017-03-16 20:34:50 +01:00
ines
5f3f04bd0a Add util function to load and parse package meta.json 2017-03-16 17:10:05 +01:00
ines
7f920c2f75 Don't break text in when rendering print_msg 2017-03-16 17:09:50 +01:00
ines
68c04fa897 Move sys_exit() function to util 2017-03-16 17:08:58 +01:00
ines
7b2eca36e4 Revert "Fix formatting and remove unused code"
This reverts commit d7898d586f.
2017-03-16 09:58:41 +01:00
ines
f5d1a39a5b Add util functions for printing and wrapping messages 2017-03-15 17:35:57 +01:00
ines
d7898d586f Fix formatting and remove unused code 2017-03-15 17:35:41 +01:00
ines
66c1f194f9 Use consistent unicode declarations 2017-03-12 13:07:28 +01:00
Matthew Honnibal
0f9b8a00a5 Unbreak data download 2017-01-09 23:40:26 +01:00
Matthew Honnibal
d9a77ddf14 Return None for data path if it doesn't exist 2017-01-09 14:10:05 +01:00
Ines Montani
de5aa92bc2 Handle deprecated tokenizer prefix data 2017-01-08 20:33:28 +01:00
Ines Montani
6a60a61086 Move update_exc to global language data utils 2016-12-17 12:29:02 +01:00
Ines Montani
66c7348cda Add update_exc util function 2016-12-08 13:58:12 +01:00
Ines Montani
8e977cc71c Fix formatting 2016-12-08 13:56:17 +01:00
Matthew Honnibal
6b8b05ef83 Specify that spacy.util is encoded in utf8 2016-11-02 19:58:00 +01:00
Matthew Honnibal
9efe568177 Add missing unicode_literals to spacy.util. I think this was messing up the tokenizer regex for non-ascii characters in Python 2. Re Issue #596 2016-11-02 12:31:34 +01:00
Matthew Honnibal
5e923b9bfa Return None in match_best_version if not path exists. 2016-10-15 14:47:29 +02:00
Matthew Honnibal
ea23b64cc8 Refactor training, with new spacy.train module. Defaults still a little awkward. 2016-10-09 12:24:24 +02:00
Matthew Honnibal
95aaea0d3f Refactor so that the tokenizer data is read from Python data, rather than from disk 2016-09-25 14:49:53 +02:00
Matthew Honnibal
82b8cc5efb Whitespace 2016-09-24 22:17:01 +02:00
Matthew Honnibal
f19af6cb2c Python 3 compatible basestring 2016-09-24 22:08:43 +02:00
Matthew Honnibal
fd65cf6cbb Finish refactoring data loading 2016-09-24 20:26:17 +02:00
Matthew Honnibal
83e364188c Mostly finished loading refactoring. Design is in place, but doesn't work yet. 2016-09-24 15:42:01 +02:00
Daylen Yang
5405e7dd73 Fix get_lang_class parsing (take 2) 2016-05-16 16:40:31 -07:00
Matthew Honnibal
b240104f40 Revert "Fix get_lang_class parsing" 2016-05-17 08:04:26 +10:00
Daylen Yang
1692c2df3c Fix get_lang_class parsing
We want the get_lang_class to return "en" for both "en" and "en_glove_cc_300_1m_vectors". Changed the split rule to "_" so that this happens.
2016-05-16 14:38:20 -07:00
Henning Peters
ff690f76ba fix loading non-german models 2016-04-12 16:00:56 +02:00
Henning Peters
c90d4a6f17 relative imports in __init__.py 2016-03-26 11:44:53 +01:00
Henning Peters
b8f63071eb add lang registration facility 2016-03-25 18:54:45 +01:00
Henning Peters
a7d7ea3afa first idea for supporting multiple langs in download script 2016-03-24 11:19:43 +01:00
Henning Peters
eb7ae61b1c cleanup api 2016-03-08 12:59:18 +01:00
Henning Peters
9cc4f8d5b3 avoid shadowing __name__ 2016-02-15 01:33:39 +01:00
Henning Peters
235f094534 untangle data_path/via 2016-01-16 12:23:45 +01:00