Commit Graph

111 Commits

Author SHA1 Message Date
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
Ines Montani
644074b954 Merge branch 'develop' into master-tmp 2020-07-20 14:58:04 +02:00
Ines Montani
796f6c52d1 Merge branch 'develop' into pr/5767 2020-07-19 13:37:46 +02:00
Adriane Boyd
9ee1c54f40
Improve tag map initialization and updating (#5764)
* Improve tag map initialization and updating

Generalize tag map initialization and updating so that the tag map can
be loaded correctly prior to loading a `Corpus` with `spacy debug-data`
and `spacy train`.

* normalize provided tag map as necessary
* use the same method for initializing and updating the tag map

* Replace rather than update tag map

Replace rather than update tag map when loading a custom tag map.
Updating the tag map is problematic due to the sorted list of tag names
and the fact that the tag map will contain lingering/unwanted tags from
the default tag map.

* Update CLI scripts

* Reinitialize cache after loading new tag map

Reinitialize the cache with the right size after loading a new tag map.
2020-07-19 13:13:57 +02:00
Adriane Boyd
b81a89f0a9
Update morphologizer (#5766)
* update `Morphologizer.begin_training` for use with `Example`

* make init and begin_training more consistent

* add `Morphology.normalize_features` to normalize outside of
`Morphology.add`

* make sure `get_loss` doesn't create unknown labels when the POS and
morph alignments differ
2020-07-19 11:10:51 +02:00
Adriane Boyd
50db3f0cdb Serialize morph rules with tagger
Serialize `morph_rules` with the tagger alongside the `tag_map`.

Use `Morphology.load_tag_map` and `Morphology.load_morph_exceptions` to
load these settings rather than reinitializing the morphology each time
they are changed.
2020-07-17 08:22:21 +02:00
Ines Montani
5f6f4ff594 Remove object subclassing 2020-07-12 14:03:23 +02:00
Matthew Honnibal
eb064c59cd Try to fix textcat test 2020-07-09 20:24:53 +02:00
Adriane Boyd
ad15499b3b
Fix get_loss for values outside of labels in senter (#5730)
* Fix get_loss for None alignments in senter

When converting the `sent_start` values back to `SentenceRecognizer`
labels, handle `None` alignments.

* Handle SENT_START as -1

Handle SENT_START as -1 (or -1 converted to uint64) by treating any
values other than 1 the same as 0 in `SentenceRecognizer.get_loss`.
2020-07-09 01:41:58 +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
Sofie Van Landeghem
fcbf899b08
Feature/example only (#5707)
* remove _convert_examples

* fix test_gold, raise TypeError if tuples are used instead of Example's

* throwing proper errors when the wrong type of objects are passed

* fix deprectated format in tests

* fix deprectated format in parser tests

* fix tests for NEL, morph, senter, tagger, textcat

* update regression tests with new Example format

* use make_doc

* more fixes to nlp.update calls

* few more small fixes for rehearse and evaluate

* only import ml_datasets if really necessary
2020-07-06 13:02:36 +02:00
Matthew Honnibal
8c29268749
Improve spacy.gold (no GoldParse, no json format!) (#5555)
* Update errors

* Remove beam for now (maybe)

Remove beam_utils

Update setup.py

Remove beam

* Remove GoldParse

WIP on removing goldparse

Get ArcEager compiling after GoldParse excise

Update setup.py

Get spacy.syntax compiling after removing GoldParse

Rename NewExample -> Example and clean up

Clean html files

Start updating tests

Update Morphologizer

* fix error numbers

* fix merge conflict

* informative error when calling to_array with wrong field

* fix error catching

* fixing language and scoring tests

* start testing get_aligned

* additional tests for new get_aligned function

* Draft create_gold_state for arc_eager oracle

* Fix import

* Fix import

* Remove TokenAnnotation code from nonproj

* fixing NER one-to-many alignment

* Fix many-to-one IOB codes

* fix test for misaligned

* attempt to fix cases with weird spaces

* fix spaces

* test_gold_biluo_different_tokenization works

* allow None as BILUO annotation

* fixed some tests + WIP roundtrip unit test

* add spaces to json output format

* minibatch utiltiy can deal with strings, docs or examples

* fix augment (needs further testing)

* various fixes in scripts - needs to be further tested

* fix test_cli

* cleanup

* correct silly typo

* add support for MORPH in to/from_array, fix morphologizer overfitting test

* fix tagger

* fix entity linker

* ensure test keeps working with non-linked entities

* pipe() takes docs, not examples

* small bug fix

* textcat bugfix

* throw informative error when running the components with the wrong type of objects

* fix parser tests to work with example (most still failing)

* fix BiluoPushDown parsing entities

* small fixes

* bugfix tok2vec

* fix renames and simple_ner labels

* various small fixes

* prevent writing dummy values like deps because that could interfer with sent_start values

* fix the fix

* implement split_sent with aligned SENT_START attribute

* test for split sentences with various alignment issues, works

* Return ArcEagerGoldParse from ArcEager

* Update parser and NER gold stuff

* Draft new GoldCorpus class

* add links to to_dict

* clean up

* fix test checking for variants

* Fix oracles

* Start updating converters

* Move converters under spacy.gold

* Move things around

* Fix naming

* Fix name

* Update converter to produce DocBin

* Update converters

* Allow DocBin to take list of Doc objects.

* Make spacy convert output docbin

* Fix import

* Fix docbin

* Fix compile in ArcEager

* Fix import

* Serialize all attrs by default

* Update converter

* Remove jsonl converter

* Add json2docs converter

* Draft Corpus class for DocBin

* Work on train script

* Update Corpus

* Update DocBin

* Allocate Doc before starting to add words

* Make doc.from_array several times faster

* Update train.py

* Fix Corpus

* Fix parser model

* Start debugging arc_eager oracle

* Update header

* Fix parser declaration

* Xfail some tests

* Skip tests that cause crashes

* Skip test causing segfault

* Remove GoldCorpus

* Update imports

* Update after removing GoldCorpus

* Fix module name of corpus

* Fix mimport

* Work on parser oracle

* Update arc_eager oracle

* Restore ArcEager.get_cost function

* Update transition system

* Update test_arc_eager_oracle

* Remove beam test

* Update test

* Unskip

* Unskip tests

* add links to to_dict

* clean up

* fix test checking for variants

* Allow DocBin to take list of Doc objects.

* Fix compile in ArcEager

* Serialize all attrs by default

Move converters under spacy.gold

Move things around

Fix naming

Fix name

Update converter to produce DocBin

Update converters

Make spacy convert output docbin

Fix import

Fix docbin

Fix import

Update converter

Remove jsonl converter

Add json2docs converter

* Allocate Doc before starting to add words

* Make doc.from_array several times faster

* Start updating converters

* Work on train script

* Draft Corpus class for DocBin

Update Corpus

Fix Corpus

* Update DocBin

Add missing strings when serializing

* Update train.py

* Fix parser model

* Start debugging arc_eager oracle

* Update header

* Fix parser declaration

* Xfail some tests

Skip tests that cause crashes

Skip test causing segfault

* Remove GoldCorpus

Update imports

Update after removing GoldCorpus

Fix module name of corpus

Fix mimport

* Work on parser oracle

Update arc_eager oracle

Restore ArcEager.get_cost function

Update transition system

* Update tests

Remove beam test

Update test

Unskip

Unskip tests

* Add get_aligned_parse method in Example

Fix Example.get_aligned_parse

* Add kwargs to Corpus.dev_dataset to match train_dataset

* Update nonproj

* Use get_aligned_parse in ArcEager

* Add another arc-eager oracle test

* Remove Example.doc property

Remove Example.doc

Remove Example.doc

Remove Example.doc

Remove Example.doc

* Update ArcEager oracle

Fix Break oracle

* Debugging

* Fix Corpus

* Fix eg.doc

* Format

* small fixes

* limit arg for Corpus

* fix test_roundtrip_docs_to_docbin

* fix test_make_orth_variants

* fix add_label test

* Update tests

* avoid writing temp dir in json2docs, fixing 4402 test

* Update test

* Add missing costs to NER oracle

* Update test

* Work on Example.get_aligned_ner method

* Clean up debugging

* Xfail tests

* Remove prints

* Remove print

* Xfail some tests

* Replace unseen labels for parser

* Update test

* Update test

* Xfail test

* Fix Corpus

* fix imports

* fix docs_to_json

* various small fixes

* cleanup

* Support gold_preproc in Corpus

* Support gold_preproc

* Pass gold_preproc setting into corpus

* Remove debugging

* Fix gold_preproc

* Fix json2docs converter

* Fix convert command

* Fix flake8

* Fix import

* fix output_dir (converted to Path by typer)

* fix var

* bugfix: update states after creating golds to avoid out of bounds indexing

* Improve efficiency of ArEager oracle

* pull merge_sent into iob2docs to avoid Doc creation for each line

* fix asserts

* bugfix excl Span.end in iob2docs

* Support max_length in Corpus

* Fix arc_eager oracle

* Filter out uannotated sentences in NER

* Remove debugging in parser

* Simplify NER alignment

* Fix conversion of NER data

* Fix NER init_gold_batch

* Tweak efficiency of precomputable affine

* Update onto-json default

* Update gold test for NER

* Fix parser test

* Update test

* Add NER data test

* Fix convert for single file

* Fix test

* Hack scorer to avoid evaluating non-nered data

* Fix handling of NER data in Example

* Output unlabelled spans from O biluo tags in iob_utils

* Fix unset variable

* Return kept examples from init_gold_batch

* Return examples from init_gold_batch

* Dont return Example from init_gold_batch

* Set spaces on gold doc after conversion

* Add test

* Fix spaces reading

* Improve NER alignment

* Improve handling of missing values in NER

* Restore the 'cutting' in parser training

* Add assertion

* Print epochs

* Restore random cuts in parser/ner training

* Implement Doc.copy

* Implement Example.copy

* Copy examples at the start of Language.update

* Don't unset example docs

* Tweak parser model slightly

* attempt to fix _guess_spaces

* _add_entities_to_doc first, so that links don't get overwritten

* fixing get_aligned_ner for one-to-many

* fix indexing into x_text

* small fix biluo_tags_from_offsets

* Add onto-ner config

* Simplify NER alignment

* Fix NER scoring for partially annotated documents

* fix indexing into x_text

* fix test_cli failing tests by ignoring spans in doc.ents with empty label

* Fix limit

* Improve NER alignment

* Fix count_train

* Remove print statement

* fix tests, we're not having nothing but None

* fix clumsy fingers

* Fix tests

* Fix doc.ents

* Remove empty docs in Corpus and improve limit

* Update config

Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
2020-06-26 19:34:12 +02:00
Adriane Boyd
b7107ac89f
Disregard special tag _SP in check for new tag map (#5641)
* Skip special tag  _SP in check for new tag map

In `Tagger.begin_training()` check for new tags aside from `_SP` in the
new tag map initialized from the provided gold tuples when determining
whether to reinitialize the morphology with the new tag map.

* Simplify _SP check
2020-06-26 09:23:21 +02:00
Ines Montani
8283df80e9 Tidy up and auto-format 2020-06-20 14:15:04 +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
Ines Montani
810fce3bb1 Merge branch 'develop' into master-tmp 2020-06-03 14:36:59 +02:00
svlandeg
eac12cbb77 make dropout in embed layers configurable 2020-06-03 11:50:16 +02:00
Ines Montani
4465cad6c5 Rename spacy.analysis to spacy.pipe_analysis 2020-05-22 17:42:06 +02:00
Matthew Honnibal
f7f6df7275 Move to spacy.analysis 2020-05-22 16:43:18 +02:00
Matthew Honnibal
78d79d94ce Guess set_annotations=True in nlp.update
During `nlp.update`, components can be passed a boolean set_annotations
to indicate whether they should assign annotations to the `Doc`. This
needs to be called if downstream components expect to use the
annotations during training, e.g. if we wanted to use tagger features in
the parser.

Components can specify their assignments and requirements, so we can
figure out which components have these inter-dependencies. After
figuring this out, we can guess whether to pass set_annotations=True.

We could also call set_annotations=True always, or even just have this
as the only behaviour. The downside of this is that it would require the
`Doc` objects to be created afresh to avoid problematic modifications.
One approach would be to make a fresh copy of the `Doc` objects within
`nlp.update()`, so that we can write to the objects without any
problems. If we do that, we can drop this logic and also drop the
`set_annotations` mechanism. I would be fine with that approach,
although it runs the risk of introducing some performance overhead, and
we'll have to take care to copy all extension attributes etc.
2020-05-22 15:55:45 +02:00
Ines Montani
581bda9f98 Update senter test and auto-format 2020-05-21 20:17:14 +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
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
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
Sofie Van Landeghem
0d94737857
Feature toggle_pipes (#5378)
* make disable_pipes deprecated in favour of the new toggle_pipes

* rewrite disable_pipes statements

* update documentation

* remove bin/wiki_entity_linking folder

* one more fix

* remove deprecated link to documentation

* few more doc fixes

* add note about name change to the docs

* restore original disable_pipes

* small fixes

* fix typo

* fix error number to W096

* rename to select_pipes

* also make changes to the documentation

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-18 22:27:10 +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
adrianeboyd
a6e521cd79
Add is_sent_end token property (#5375)
Reconstruction of the original PR #4697 by @MiniLau.

Removes unused `SENT_END` symbol and `IS_SENT_END` from `Matcher` schema
because the Matcher is only going to be able to support `IS_SENT_START`.
2020-04-29 12:53:16 +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
adrianeboyd
b71a11ff6d
Update morphologizer (#5108)
* Add pos and morph scoring to Scorer

Add pos, morph, and morph_per_type to `Scorer`. Report pos and morph
accuracy in `spacy evaluate`.

* Update morphologizer for v3

* switch to tagger-based morphologizer
* use `spacy.HashCharEmbedCNN` for morphologizer defaults
* add `Doc.is_morphed` flag

* Add morphologizer to train CLI

* Add basic morphologizer pipeline tests

* Add simple morphologizer training example

* Remove subword_features from CharEmbed models

Remove `subword_features` argument from `spacy.HashCharEmbedCNN.v1` and
`spacy.HashCharEmbedBiLSTM.v1` since in these cases `subword_features`
is always `False`.

* Rename setting in morphologizer example

Use `with_pos_tags` instead of `without_pos_tags`.

* Fix kwargs for spacy.HashCharEmbedBiLSTM.v1

* Remove defaults for spacy.HashCharEmbedBiLSTM.v1

Remove default `nM/nC` for `spacy.HashCharEmbedBiLSTM.v1`.

* Set random seed for textcat overfitting test
2020-04-02 14:46:32 +02:00
Sofie Van Landeghem
311133e579
Train textcat with config (#5143)
* bring back default build_text_classifier method

* remove _set_dims_ hack in favor of proper dim inference

* add tok2vec initialize to unit test

* small fixes

* add unit test for various textcat config settings

* logistic output layer does not have nO

* fix window_size setting

* proper fix

* fix W initialization

* Update textcat training example

* Use ml_datasets
* Convert training data to `Example` format
* Use `n_texts` to set proportionate dev size

* fix _init renaming on latest thinc

* avoid setting a non-existing dim

* update to thinc==8.0.0a2

* add BOW and CNN defaults for easy testing

* various experiments with train_textcat script, fix softmax activation in textcat bow

* allow textcat train script to work on other datasets as well

* have dataset as a parameter

* train textcat from config, with example config

* add config for training textcat

* formatting

* fix exclusive_classes

* fixing BOW for GPU

* bump thinc to 8.0.0a3 (not published yet so CI will fail)

* add in link_vectors_to_models which got deleted

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2020-03-29 19:40:36 +02:00
Ines Montani
828acffc12 Tidy up and auto-format 2020-03-25 12:28:12 +01:00
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
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
Sofie Van Landeghem
6ac9fc0619
Unit test for NEL functionality (#5114)
* empty begin_training for sentencizer

* overfitting unit test for entity linker

* fixed NEL IO by storing the entity_vector_length in the cfg
2020-03-06 14:42:23 +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
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +01:00
Ines Montani
de11ea753a Merge branch 'master' into develop 2020-02-18 14:47:23 +01:00
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
adrianeboyd
a938566b62 Fix Sentencizer.pipe() for empty doc (#4940) 2020-01-28 11:36:49 +01:00
adrianeboyd
199d89943e Add as_example to Sentencizer pipe() (#4933) 2020-01-22 15:40:31 +01:00
Kabir Khan
b9afcd56e3 Fix ent_ids and labels properties when id attribute used in patterns (#4900)
* Fix ent_ids and labels properties when id attribute used in patterns

* use set for labels

* sort end_ids for comparison in entity_ruler tests

* fixing entity_ruler ent_ids test

* add to set
2020-01-16 02:01:31 +01:00
Ines Montani
a892821c51 More formatting changes 2019-12-25 17:59:52 +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
947dba7141 Merge branch 'master' into develop 2019-12-21 19:04:43 +01:00
Ines Montani
cb4145adc7 Tidy up and auto-format 2019-12-21 19:04:17 +01:00
Ines Montani
158b98a3ef Merge branch 'master' into develop 2019-12-21 18:55:03 +01:00
adrianeboyd
48ea2e8d0f Restructure Sentencizer to follow Pipe API (#4721)
* Restructure Sentencizer to follow Pipe API

Restructure Sentencizer to follow Pipe API so that it can be scored with
`nlp.evaluate()`.

* Add Sentencizer pipe() test
2019-11-27 16:33:34 +01:00
adrianeboyd
054df5d90a Add error for non-string labels (#4690)
Add error when attempting to add non-string labels to `Tagger` or
`TextCategorizer`.
2019-11-21 16:24:10 +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