Commit Graph

11 Commits

Author SHA1 Message Date
Matthw Honnibal
d507ac28d8 Fix shape inference 2020-05-21 20:46:10 +02:00
Matthw Honnibal
f075655deb Fix shape inference in begin_training 2020-05-21 19:26:29 +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* remove outdated comment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
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
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
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
Ines Montani
5da3ad682a Tidy up and auto-format 2020-02-28 11:57:41 +01:00
Sofie Van Landeghem
06f0a8daa0
Default settings to configurations (#4995)
* fix grad_clip naming

* cleaning up pretrained_vectors out of cfg

* further refactoring Model init's

* move Model building out of pipes

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

* small fixes

* making cfg in nn_parser more consistent

* fixing nr_class for parser

* fixing nn_parser's nO

* fix printing of loss

* architectures in own file per type, consistent naming

* convenience methods default_tagger_config and default_tok2vec_config

* let create_pipe access default config if available for that component

* default_parser_config

* move defaults to separate folder

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

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

* cleanup

* default configs for nel, textcat, morphologizer, tensorizer

* fix imports

* fixing unit tests

* fixes and clean up

* fixing defaults, nO, fix unit tests

* restore parser IO

* fix IO

* 'fix' serialization test

* add *.cfg to manifest

* fix example configs with additional arguments

* replace Morpohologizer with Tagger

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

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

* expand overfitting tests to also check IO goes OK

* remove dropout from HashEmbed to fix Tagger performance

* add defaults for sentrec

* update thinc

* always pass a Model instance to a Pipe

* fix piped_added statement

* remove obsolete W029

* remove obsolete errors

* restore byte checking tests (work again)

* clean up test

* further test cleanup

* convert from config to Model in create_pipe

* bring back error when component is not initialized

* cleanup

* remove calls for nlp2.begin_training

* use thinc.api in imports

* allow setting charembed's nM and nC

* fix for hardcoded nM/nC + unit test

* formatting fixes

* trigger build
2020-02-27 18:42:27 +01:00