Commit Graph

74 Commits

Author SHA1 Message Date
Sofie Van Landeghem
d093d6343b
TrainablePipe (#6213)
* rename Pipe to TrainablePipe

* split functionality between Pipe and TrainablePipe

* remove unnecessary methods from certain components

* cleanup

* hasattr(component, "pipe") should be sufficient again

* remove serialization and vocab/cfg from Pipe

* unify _ensure_examples and validate_examples

* small fixes

* hasattr checks for self.cfg and self.vocab

* make is_resizable and is_trainable properties

* serialize strings.json instead of vocab

* fix KB IO + tests

* fix typos

* more typos

* _added_strings as a set

* few more tests specifically for _added_strings field

* bump to 3.0.0a36
2020-10-08 21:33:49 +02:00
Ines Montani
568e12215d
Merge pull request #6206 from svlandeg/fix/patterns-init 2020-10-06 10:27:23 +02:00
svlandeg
ff9ac39c88 read entity_ruler patterns with srsly.read_jsonl.v1 2020-10-05 22:50:14 +02:00
Ines Montani
d58fb42707 Add spacy_version option and validation for project.yml 2020-10-05 20:00:42 +02:00
Adriane Boyd
62ccd5c4df
Relax model meta performance schema (#6185)
Allow more embedded per_x in `ModelMetaSchema`
2020-10-02 16:37:21 +02:00
Ines Montani
fa47f87924 Tidy up and auto-format 2020-09-29 21:39:28 +02:00
Ines Montani
2be80379ec Fix small issues, resolve_dot_names and debug model 2020-09-29 20:38:35 +02:00
Ines Montani
dba26186ef Handle None default args in Cython methods 2020-09-29 18:08:02 +02:00
Ines Montani
fd594cfb9b Tighten up format 2020-09-29 16:47:55 +02:00
Ines Montani
f171903139 Clean up sgd and pipeline -> nlp 2020-09-29 12:20:26 +02:00
Ines Montani
42f0e4c946 Clean up 2020-09-29 12:14:08 +02:00
Ines Montani
50410c17ac Update schemas.py 2020-09-29 12:05:38 +02:00
Ines Montani
dec984a9c1 Update Language.initialize and support components/tokenizer settings 2020-09-29 11:52:45 +02:00
Ines Montani
1590de11b1 Update config 2020-09-28 12:05:23 +02:00
Ines Montani
e44a7519cd Update CLI and add [initialize] block 2020-09-28 11:56:14 +02:00
Ines Montani
658fad428a Fix base schema integration 2020-09-27 22:50:36 +02:00
Ines Montani
7e938ed63e Update config resolution to use new Thinc 2020-09-27 22:21:31 +02:00
Adriane Boyd
3c062b3911
Add MORPH handling to Matcher (#6107)
* Add MORPH handling to Matcher

* Add `MORPH` to `Matcher` schema
* Rename `_SetMemberPredicate` to `_SetPredicate`
* Add `ISSUBSET` and `ISSUPERSET` operators to `_SetPredicate`
  * Add special handling for normalization and conversion of morph
    values into sets
  * For other attrs, `ISSUBSET` acts like `IN` and `ISSUPERSET` only
    matches for 0 or 1 values

* Update test

* Rename to IS_SUBSET and IS_SUPERSET
2020-09-24 16:55:09 +02:00
Ines Montani
74e1f192b4
Merge pull request #6134 from explosion/feature/training_before_to_disk 2020-09-24 14:44:11 +02:00
Ines Montani
88e54caa12 accuracy -> performance 2020-09-24 14:32:35 +02:00
Ines Montani
be56c0994b Add [training.before_to_disk] callback 2020-09-24 12:40:25 +02:00
Ines Montani
ae51f580c1 Fix handling of score_weights 2020-09-24 10:27:33 +02:00
Ines Montani
1114219ae3 Tidy up and auto-format 2020-09-21 10:59:07 +02:00
Ines Montani
e863b3dc14
Merge pull request #6092 from adrianeboyd/bugfix/load-vocab-lookups-2 2020-09-19 12:33:38 +02:00
Sofie Van Landeghem
39872de1f6
Introducing the gpu_allocator (#6091)
* rename 'use_pytorch_for_gpu_memory' to 'gpu_allocator'

* --code instead of --code-path

* update documentation

* avoid querying the "system" section directly

* add explanation of gpu_allocator to TF/PyTorch section in docs

* fix typo

* fix typo 2

* use set_gpu_allocator from thinc 8.0.0a34

* default null instead of empty string
2020-09-19 01:17:02 +02:00
Adriane Boyd
eed4b785f5 Load vocab lookups tables at beginning of training
Similar to how vectors are handled, move the vocab lookups to be loaded
at the start of training rather than when the vocab is initialized,
since the vocab doesn't have access to the full config when it's
created.

The option moves from `nlp.load_vocab_data` to `training.lookups`.

Typically these tables will come from `spacy-lookups-data`, but any
`Lookups` object can be provided.

The loading from `spacy-lookups-data` is now strict, so configs for each
language should specify the exact tables required. This also makes it
easier to control whether the larger clusters and probs tables are
included.

To load `lexeme_norm` from `spacy-lookups-data`:

```
[training.lookups]
@misc = "spacy.LoadLookupsData.v1"
lang = ${nlp.lang}
tables = ["lexeme_norm"]
```
2020-09-18 15:59:16 +02:00
svlandeg
427dbecdd6 cleanup and formatting 2020-09-17 11:48:04 +02:00
svlandeg
0c35885751 generalize corpora, dot notation for dev and train corpus 2020-09-17 11:38:59 +02:00
svlandeg
7336657662 corpus is a Dict 2020-09-15 22:07:16 +02:00
svlandeg
51fa929f47 rewrite train_corpus to corpus.train in config 2020-09-15 21:58:04 +02:00
Matthew Honnibal
54c40223a1
Improve v3 pretrain command (#6040)
* Starts to run

* Update pretrain script

* Update corpus

* Update pretrain schema

* Remove outdated test

* Make JsonlTexts produce Example objects.
2020-09-13 14:05:05 +02:00
Ines Montani
62eec33bc4 Fix meta.json validation 2020-09-11 11:38:33 +02:00
Sofie Van Landeghem
8e7557656f
Renaming gold & annotation_setter (#6042)
* version bump to 3.0.0a16

* rename "gold" folder to "training"

* rename 'annotation_setter' to 'set_extra_annotations'

* formatting
2020-09-09 10:31:03 +02:00
Ines Montani
d7cc2ee72d Fix tests 2020-09-04 14:05:55 +02:00
Ines Montani
3ce5be4b76 Allow loaded but disabled components 2020-08-28 15:20:14 +02:00
Sofie Van Landeghem
79d460e3a2
Weights & Biases logger for train CLI (#5971)
* quick test as part of train script

* train_logger in config, default ConsoleLogger in loggers catalogue

* entitiy typo

* add wandb_logger

* cleanup

* Update spacy/cli/train_logger.py

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

* move loggers to gold.loggers

Co-authored-by: Ines Montani <ines@ines.io>
2020-08-26 15:24:33 +02:00
Ines Montani
f10989e8c4 Add "project document" and more project.yml meta fields 2020-08-25 17:14:27 +02:00
Ines Montani
94705c21c8 Allow reuse on validators to prevent reload error
Otherwise this will cause an error if spaCy is live reloaded, e.g. in Streamlit
2020-08-25 17:13:11 +02:00
Ines Montani
dd84577a98 Update CLI utils, project.yml schema and add test 2020-08-25 11:54:53 +02:00
Ines Montani
0e7f99da58
Fix handling of optional [pretraining] block (#5954)
* Fix handling of optional [pretraining] block

* Remote pretraining from default config

* Fix test

* Add schema option for empty pretrain block
2020-08-24 15:56:03 +02:00
Matthew Honnibal
e559867605
Allow spacy project to push and pull to/from remote storage (#5949)
* Add utils for working with remote storage

* WIP add remote_cache for project

* WIP add push and pull commands

* Use pathy in remote_cache

* Updarte util

* Update remote_cache

* Update util

* Update project assets

* Update pull script

* Update push script

* Fix type annotation in util

* Work on remote storage

* Remove site and env hash

* Fix imports

* Fix type annotation

* Require pathy

* Require pathy

* Fix import

* Add a util to handle project variable substitution

* Import push and pull commands

* Fix pull command

* Fix push command

* Fix tarfile in remote_storage

* Improve printing

* Fiddle with status messages

* Set version to v3.0.0a9

* Draft docs for spacy project remote storages

* Update docs [ci skip]

* Use Thinc config to simplify and unify template variables

* Auto-format

* Don't import Pathy globally for now

Causes slow and annoying Google Cloud warning

* Tidy up test

* Tidy up and update tests

* Update to latest Thinc

* Update docs

* variables -> vars

* Update docs [ci skip]

* Update docs [ci skip]

Co-authored-by: Ines Montani <ines@ines.io>
2020-08-23 18:32:09 +02:00
Ines Montani
e2f2ef3a5a Update init config and recommendations
- As much as I dislike YAML, it seemed like a better format here because it allows us to add comments if we want to explain the different recommendations
- Don't include the generated JS in the repo by default and build it on the fly when running or deploying the site. This ensures it's always up to date.
- Simplify jinja_to_js script and use fewer dependencies
2020-08-19 13:33:15 +02:00
Ines Montani
82f0e20318 Update docs and consistency [ci skip] 2020-08-18 14:39:40 +02:00
Adriane Boyd
e962784531
Add Lemmatizer and simplify related components (#5848)
* Add Lemmatizer and simplify related components

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

Differences:

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

* Fix test

* Initial fix for Lemmatizer config/serialization

* Adjust init test to be more generic

* Adjust init test to force empty Lookups

* Add simple cache to rule-based lemmatizer

* Convert language-specific lemmatizers

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

* Fix French and Polish lemmatizers

* Remove outdated UPOS conversions

* Update Russian lemmatizer init in tests

* Add minimal init/run tests for custom lemmatizers

* Add option to overwrite existing lemmas

* Update mode setting, lookup loading, and caching

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

* Implement strict when lang is not found in lookups

* Fix tables/lookups in make_lemmatizer

* Reallow provided lookups and allow for stricter checks

* Add lookups asset to all Lemmatizer pipe tests

* Rename lookups in lemmatizer init test

* Clean up merge

* Refactor lookup table loading

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

Additional slight refactor of lookups:

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

* Move registry assets into test methods

* Refactor lookups tables config

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

* Add pipe and score to lemmatizer

* Simplify Tagger.score

* Add missing import

* Clean up imports and auto-format

* Remove unused kwarg

* Tidy up and auto-format

* Update docstrings for Lemmatizer

Update docstrings for Lemmatizer.

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

* Update docstrings

* Remove tag map values from Tagger.add_label

* Update API docs

* Fix relative link in Lemmatizer API docs
2020-08-07 15:27:13 +02:00
Ines Montani
823e533dc1
Add config callbacks for modifying nlp object before and after init (#5866)
* WIP: Concept for modifying nlp object before and after init

* Make callbacks return nlp object

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>

* Raise if callbacks don't return correct type

* Rename, update types, add after_pipeline_creation

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-08-05 19:47:54 +02:00
Ines Montani
e68459296d Tidy up and auto-format 2020-08-05 16:00:59 +02:00
Ines Montani
b795f02fbd
Allow adding pipeline components from source model (#5857)
* Allow adding pipeline components from source model

* Config: name -> component

* Improve error messages

* Fix error and test

* Add frozen components and exclude logic

* Remove exclude from Language.evaluate

* Init sourced components with current vocab

* Fix error codes
2020-08-04 23:39:19 +02:00
Matthew Honnibal
ecb3c4e8f4
Create corpus iterator and batcher from registry during training (#5865)
* Move batchers into their own module (and registry)

* Update CLI

* Update Corpus and batcher

* Update tests

* Update one config

* Merge 'evaluation' block back under [training]

* Import batchers in gold __init__

* Fix batchers

* Update config

* Update schema

* Update util

* Don't assume train and dev are actually paths

* Update onto-joint config

* Fix missing import

* Format

* Format

* Update spacy/gold/corpus.py

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

* Fix name

* Update default config

* Fix get_length option in batchers

* Update test

* Add comment

* Pass path into Corpus

* Update docstring

* Update schema and configs

* Update config

* Fix test

* Fix paths

* Fix print

* Fix create_train_batches

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

* Update onto-joint config

Co-authored-by: Ines Montani <ines@ines.io>
2020-08-04 15:09:37 +02:00
Ines Montani
7adffc5361 Remove unused schema 2020-07-28 23:12:47 +02:00
Ines Montani
0094cb0d04 Remove scores list from config and document 2020-07-28 11:22:24 +02:00