Commit Graph

572 Commits

Author SHA1 Message Date
Ines Montani
78396d137f Integrate initialize settings 2020-09-29 11:57:08 +02:00
Ines Montani
dec984a9c1 Update Language.initialize and support components/tokenizer settings 2020-09-29 11:52:45 +02:00
Matthew Honnibal
5276db6f3f Remove 'device' argument from Language, clean up 'sgd' arg 2020-09-29 11:42:19 +02:00
Ines Montani
ff9a63bfbd begin_training -> initialize 2020-09-28 21:35:09 +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
Ines Montani
4bbe41f017 Fix combined scores and update test 2020-09-24 10:42:47 +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
Adriane Boyd
47080fba98 Minor renaming / refactoring
* Rename loader to `spacy.LookupsDataLoader.v1`, add debugging message
* Make `Vocab.lookups` a property
2020-09-18 19:43:19 +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
Matthew Honnibal
c776594ab1 Fix 2020-09-16 18:15:14 +02:00
Matthew Honnibal
4a573d18b3 Add comment 2020-09-16 17:51:29 +02:00
Matthew Honnibal
d31afc8334 Fix Language.link_components when model is None 2020-09-16 17:49:48 +02:00
Ines Montani
aaf01689a1 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2020-09-15 14:24:42 +02:00
Ines Montani
91a6637f74 Remove extra pipe config values before merging 2020-09-15 14:24:17 +02:00
Ines Montani
d3d7f92f05 Fix lang check and error handling in Language.from_config 2020-09-15 14:24:06 +02:00
Ines Montani
253ba5ef14 Raise for bad Vocab values 2020-09-15 13:25:34 +02:00
Ines Montani
7dfc4bc062 Allow overriding meta from spacy.blank 2020-09-15 11:12:12 +02:00
Matthew Honnibal
b693d2d224 Fix speed report in table 2020-09-13 17:39:31 +02:00
Ines Montani
febb99916d Tidy up and auto-format [ci skip] 2020-09-13 10:55:36 +02:00
Sofie Van Landeghem
e92e850c72
Raise if empty examples (#6052)
* raise error if no valid Example objects were found during initialization

* fix max_length parameter

* remove commit from other branch

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-09-12 21:01:53 +02:00
svlandeg
711166a75a prevent overwriting score_weights 2020-09-11 15:12:05 +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
Sofie Van Landeghem
60f22e1800
Pipe API (#6034)
* ensure Language passes on valid examples for initialization

* fix tagger model initialization

* check for valid get_examples across components

* assume labels were added before begin_training

* fix senter initialization

* fix morphologizer initialization

* use methods to check arguments

* test textcat init, requires thinc>=8.0.0a31

* fix tok2vec init

* fix entity linker init

* use islice

* fix simple NER

* cleanup debug model

* fix assert statements

* fix tests

* throw error when adding a label if the output layer can't be resized anymore

* fix test

* add failing test for simple_ner

* UX improvements

* morphologizer UX

* assume begin_training gets a representative set and processes the labels

* remove assumptions for output of untrained NER model

* restore test for original purpose
2020-09-08 22:44:25 +02:00
Ines Montani
f06eed800e
Merge pull request #6029 from explosion/master-tmp 2020-09-04 15:11:55 +02:00
Ines Montani
f9550b4493 Fix components in meta.json and website [ci skip] 2020-09-04 14:42:12 +02:00
Ines Montani
90043a6f9b Tidy up and auto-format 2020-09-04 13:42:33 +02:00
Ines Montani
ba600f91c5 Tidy up imports 2020-09-04 13:15:44 +02:00
Ines Montani
ab1bb421ed Update docs links in codebase 2020-09-04 12:58:50 +02:00
Ines Montani
896caf45e3
Merge pull request #6023 from explosion/ux/model-terminology-consistency [ci skip] 2020-09-03 17:13:44 +02:00
Ines Montani
b5a0657fd6 "model" terminology consistency in docs 2020-09-03 13:13:03 +02:00
Matthew Honnibal
ef0d0630a4 Let Langugae.use_params work with falsey inputs
The Language.use_params method was failing if you passed in None, which
meant we had to use awkward conditionals for the parameter averaging.
This solves the problem.
2020-09-03 12:51:04 +02:00
Matthew Honnibal
046c38bd26
Remove 'cleanup' of strings (#6007)
A long time ago we went to some trouble to try to clean up "unused"
strings, to avoid the `StringStore` growing in long-running processes.

This never really worked reliably, and I think it was a really wrong
approach. It's much better to let the user reload the `nlp` object as
necessary, now that the string encoding is stable (in v1, the string IDs
were sequential integers, making reloading the NLP object really
annoying.)

The extra book-keeping does make some performance difference, and the
feature is unsed, so it's past time we killed it.
2020-09-01 16:12:15 +02:00
Ines Montani
45f46a5c85
Merge pull request #5993 from explosion/feature/disabled-components 2020-08-29 15:58:41 +02:00
Ines Montani
34146750d4 Use frozen list with custom errors
We don't want to break backwards compatibility too much but we also want to provide the best possible UX
2020-08-29 15:20:11 +02:00
Ines Montani
6520d1a1df Work around set order in Language.disabled 2020-08-29 12:58:22 +02:00
Ines Montani
e0b4984aa4 Make deprecated disable_pipes call into select_pipes 2020-08-29 12:08:46 +02:00
Ines Montani
15d73f4dc3 Make user-facing Language.disabled return list
More consistent with all the other properties
2020-08-29 12:08:33 +02:00
Ines Montani
0687d7148e Rename user-facing API 2020-08-28 21:04:02 +02:00
Ines Montani
6a999c9303 Remove outdated component attr check 2020-08-28 20:59:19 +02:00
Ines Montani
10da74382f Raise if disabled components are removed before DisabledPipes.restore 2020-08-28 20:35:26 +02:00
Ines Montani
1e0363290e Remove todos and update docstrings 2020-08-28 20:34:46 +02:00
Ines Montani
cad988da7f Allow component decorators to re-run with same function 2020-08-28 16:27:22 +02:00
Ines Montani
3ce5be4b76 Allow loaded but disabled components 2020-08-28 15:20:14 +02:00
Ines Montani
daac8ebacd Don't interpolate config on Language deserialization 2020-08-27 16:44:36 +02:00
Matthew Honnibal
4f82a02b70 Remove 'fix_pretrained_vectors_name' hack 2020-08-25 14:37:45 +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
160a855246 Format 2020-08-23 21:15:12 +02:00
Sofie Van Landeghem
358cbb21e3
Define candidate generator in EL config (#5876)
* candidate generator as separate part of EL config

* update comment

* ent instead of str as input for candidate generation

* Span instead of str: correct type indication

* fix types

* unit test to create new candidate generator

* fix replace_pipe argument passing

* move error message, general cleanup

* add vocab back to KB constructor

* provide KB as callable from Vocab arg

* rename to kb_loader, fix KB serialization as part of the EL pipe

* fix typo

* reformatting

* cleanup

* fix comment

* fix wrongly duplicated code from merge conflict

* rename dump to to_disk

* from_disk instead of load_bulk

* update test after recent removal of set_morphology in tagger

* remove old doc
2020-08-18 16:10:36 +02:00
Ines Montani
3ae5e02f4f Update docs, types and API consistency 2020-08-17 16:45:24 +02:00
Ines Montani
67cc39af7f Update Thinc and include section order 2020-08-14 14:06:22 +02:00
Ines Montani
88b0a96801 Update for new Thinc and adjust config 2020-08-13 17:38:30 +02:00
Ines Montani
950832f087
Tidy up pipes (#5906)
* Tidy up pipes

* Fix init, defaults and raise custom errors

* Update docs

* Update docs [ci skip]

* Apply suggestions from code review

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

* Tidy up error handling and validation, fix consistency

* Simplify get_examples check

* Remove unused import [ci skip]

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-08-11 23:29:31 +02:00
Ines Montani
3eaeb73342 Tidy up and auto-format 2020-08-09 22:36:23 +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
56c17973aa Use "raise ... from" in custom errors for better tracebacks 2020-08-05 23:53:21 +02:00
Ines Montani
5cc0d89fad
Simplify config overrides in CLI and deserialization (#5880) 2020-08-05 23:35:09 +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
Sofie Van Landeghem
b88c5c701a
Bugfix in nlp.replace_pipe (#5875)
* bugfix and unit test

* merge two conditions
2020-08-05 09:30:58 +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
Ines Montani
b40f44419b Simplify pipe analysis
- remove unused code
- don't print by default
- integrate attrs info into analysis output
2020-08-01 13:40:06 +02:00
Ines Montani
30a76fcf6f Integrate and simplify pipe analysis 2020-07-31 18:34:35 +02:00
Ines Montani
2d955fbf98 Fix linting [ci skip] 2020-07-31 17:05:28 +02:00
Adriane Boyd
9b509aa87f Move Language.evaluate scorer config to new arg
Move `Language.evaluate` scorer config from `component_cfg` to separate
argument `scorer_cfg`.
2020-07-31 11:05:16 +02:00
Ines Montani
7a21775cd0
Merge pull request #5834 from explosion/feature/vectors 2020-07-29 18:49:26 +02:00
Ines Montani
b0f57a0cac Update docs and consistency 2020-07-29 15:14:07 +02:00
Matthew Honnibal
97d3651574 Fix stray link_vectors_to_models call 2020-07-29 14:01:13 +02:00
Matthew Honnibal
1784c95827 Clean up link_vectors_to_models unused stuff 2020-07-29 14:01:11 +02:00
Matthew Honnibal
7299419fe4 Dont load vectors in Language.from_config 2020-07-29 14:00:12 +02:00
Matthew Honnibal
30dd96c540 Load vectors in Language.from_config 2020-07-29 14:00:12 +02:00
Ines Montani
e257e66ab9 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2020-07-29 11:36:45 +02:00
Adriane Boyd
0cddb0dbe9
Move timing into Language.evaluate (#5836)
Move timing into `Language.evaluate` so that only the processing is
timing, not processing + scoring. `Language.evaluate` returns
`scores["speed"]` as words per second, which should be identical to how
the speed was added to the scores previously. Also add the speed to the
evaluate CLI output.
2020-07-29 11:02:31 +02:00
Ines Montani
e5d9eaf79c Tidy up docstrings and arguments 2020-07-28 23:12:42 +02:00
Ines Montani
2748249217 Re-add meta["pipeline"] for now 2020-07-28 16:14:23 +02:00
Ines Montani
ae4d8a6ffd Update docstrings, docs and pipe consistency 2020-07-28 13:37:31 +02:00
Ines Montani
0094cb0d04 Remove scores list from config and document 2020-07-28 11:22:24 +02:00
Ines Montani
894e20c466 Merge branch 'develop' into feature/component-scores 2020-07-27 18:14:39 +02:00
Adriane Boyd
8bb0507777 Add and update score methods and score weights
Add and update `score` methods, provided `scores`, and default weights
`default_score_weights` for pipeline components.

* `scores` provides all top-level keys returned by `score` (merely informative, similar to `assigns`).
* `default_score_weights` provides the default weights for a default config.
* The keys from `default_score_weights` determine which values will be
shown in the `spacy train` output, so keys with weight `0.0` will be
displayed but not counted toward the overall score.
2020-07-27 14:44:53 +02:00
Ines Montani
3d56a3f286 Make more args keyword-only 2020-07-27 00:27:53 +02:00
Ines Montani
53d37da29a Make sure @factories is removed from config 2020-07-26 15:11:24 +02:00
Ines Montani
2470486543 Allow pipeline components to set default scores and weights 2020-07-26 13:18:43 +02:00
Ines Montani
e92df281ce Tidy up, autoformat, add types 2020-07-25 15:01:15 +02:00
Ines Montani
cdbd6ba912
Merge pull request #5798 from explosion/feature/language-data-config 2020-07-25 13:34:49 +02:00
Adriane Boyd
2bcceb80c4
Refactor the Scorer to improve flexibility (#5731)
* Refactor the Scorer to improve flexibility

Refactor the `Scorer` to improve flexibility for arbitrary pipeline
components.

* Individual pipeline components provide their own `evaluate` methods
that score a list of `Example`s and return a dictionary of scores
* `Scorer` is initialized either:
  * with a provided pipeline containing components to be scored
  * with a default pipeline containing the built-in statistical
    components (senter, tagger, morphologizer, parser, ner)
* `Scorer.score` evaluates a list of `Example`s and returns a dictionary
of scores referring to the scores provided by the components in the
pipeline

Significant differences:

* `tags_acc` is renamed to `tag_acc` to be consistent with `token_acc`
and the new `morph_acc`, `pos_acc`, and `lemma_acc`
* Scoring is no longer cumulative: `Scorer.score` scores a list of
examples rather than a single example and does not retain any state
about previously scored examples
* PRF values in the returned scores are no longer multiplied by 100

* Add kwargs to Morphologizer.evaluate

* Create generalized scoring methods in Scorer

* Generalized static scoring methods are added to `Scorer`
  * Methods require an attribute (either on Token or Doc) that is
used to key the returned scores

Naming differences:

* `uas`, `las`, and `las_per_type` in the scores dict are renamed to
`dep_uas`, `dep_las`, and `dep_las_per_type`

Scoring differences:

* `Doc.sents` is now scored as spans rather than on sentence-initial
token positions so that `Doc.sents` and `Doc.ents` can be scored with
the same method (this lowers scores since a single incorrect sentence
start results in two incorrect spans)

* Simplify / extend hasattr check for eval method

* Add hasattr check to tokenizer scoring
* Simplify to hasattr check for component scoring

* Reset Example alignment if docs are set

Reset the Example alignment if either doc is set in case the
tokenization has changed.

* Add PRF tokenization scoring for tokens as spans

Add PRF scores for tokens as character spans. The scores are:

* token_acc: # correct tokens / # gold tokens
* token_p/r/f: PRF for (token.idx, token.idx + len(token))

* Add docstring to Scorer.score_tokenization

* Rename component.evaluate() to component.score()

* Update Scorer API docs

* Update scoring for positive_label in textcat

* Fix TextCategorizer.score kwargs

* Update Language.evaluate docs

* Update score names in default config
2020-07-25 12:53:02 +02:00
Ines Montani
8d9d28eb8b Re-add setting for vocab data and tidy up 2020-07-25 12:14:28 +02:00
Ines Montani
38f6ea7a78 Simplify language data and revert detailed configs 2020-07-24 14:50:26 +02:00
Ines Montani
14d7d46f89 Merge branch 'develop' into feature/language-data-config 2020-07-22 22:18:53 +02:00
Ines Montani
b507f61629 Tidy up and move noun_chunks, token_match, url_match 2020-07-22 22:18:46 +02:00
Ines Montani
d0c6d1efc5
@factories -> factory (#5801) 2020-07-22 17:29:31 +02:00
Ines Montani
945f795a3e WIP: move more language data to config 2020-07-22 15:59:37 +02:00
Ines Montani
43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

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

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

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

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

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

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

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

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

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

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

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

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

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +02:00
Ines Montani
644074b954 Merge branch 'develop' into master-tmp 2020-07-20 14:58:04 +02:00
Adriane Boyd
d106cf66dd Update Morphology to load exceptions as MORPH_RULES
Update `Morphology` to load exceptions in `Morphology.__init__` and
`Morphology.load_morph_exceptions` from the format used in `MORPH_RULES`
rather than the internal format with tuple keys.

* Rename to `Morphology.exc` to `Morphology._exc` for internal use with
tuple keys
* Add `Morphology.exc` as a property that converts the internal `_exc`
back to `MORPH_RULES` format, primarily for serialization
2020-07-16 21:16:49 +02:00
Ines Montani
5f6f4ff594 Remove object subclassing 2020-07-12 14:03:23 +02:00
Sofie Van Landeghem
dd207a28be
cleanup components API (#5726)
* add keyword separator for update functions and drop unused "state"

* few more Example tests and various small fixes

* consistently return losses after update call

* eliminate unused tensors field across pipe components

* fix name

* fix arg name
2020-07-09 19:43:39 +02:00
Matthw Honnibal
93e50da46a Remove auto 'set_annotation' in training to address GPU memory 2020-07-08 21:36:51 +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
Adriane Boyd
971826a96d
Include git commit in package and model meta (#5694)
* Include git commit in package and model meta

* Rewrite to read file in setup

* Fix file handle
2020-07-02 17:10:27 +02:00