Commit Graph

48 Commits

Author SHA1 Message Date
Matthew Honnibal
3e78e82a83
Experimental character-based pretraining (#5700)
* Use cosine loss in Cloze multitask

* Fix char_embed for gpu

* Call resume_training for base model in train CLI

* Fix bilstm_depth default in pretrain command

* Implement character-based pretraining objective

* Use chars loss in ClozeMultitask

* Add method to decode predicted characters

* Fix number characters

* Rescale gradients for mlm

* Fix char embed+vectors in ml

* Fix pipes

* Fix pretrain args

* Move get_characters_loss

* Fix import

* Fix import

* Mention characters loss option in pretrain

* Remove broken 'self attention' option in pretrain

* Revert "Remove broken 'self attention' option in pretrain"

This reverts commit 56b820f6af.

* Document 'characters' objective of pretrain
2020-07-05 15:48:39 +02:00
Adriane Boyd
d5110ffbf2
Documentation updates for v2.3.0 (#5593)
* Update website models for v2.3.0

* Add docs for Chinese word segmentation

* Tighten up Chinese docs section

* Merge branch 'master' into docs/v2.3.0 [ci skip]

* Merge branch 'master' into docs/v2.3.0 [ci skip]

* Auto-format and update version

* Update matcher.md

* Update languages and sorting

* Typo in landing page

* Infobox about token_match behavior

* Add meta and basic docs for Japanese

* POS -> TAG in models table

* Add info about lookups for normalization

* Updates to API docs for v2.3

* Update adding norm exceptions for adding languages

* Add --omit-extra-lookups to CLI API docs

* Add initial draft of "What's New in v2.3"

* Add new in v2.3 tags to Chinese and Japanese sections

* Add tokenizer to migration section

* Add new in v2.3 flags to init-model

* Typo

* More what's new in v2.3

Co-authored-by: Ines Montani <ines@ines.io>
2020-06-16 15:37:35 +02:00
Sofie Van Landeghem
4d1ba6feb4
add tag variant for 2.3 (#5542) 2020-06-04 19:16:33 +02:00
svlandeg
5f0a91cf37 fix conv-depth parameter 2020-05-29 09:56:29 +02:00
adrianeboyd
bdff76dede
Various updates/additions to CLI scripts (#5362)
* `debug-data`: determine coverage of provided vectors

* `evaluate`: support `blank:lg` model to make it possible to just evaluate
tokenization

* `init-model`: add option to truncate vectors to N most frequent vectors
from word2vec file

* `train`:

  * if training on GPU, only run evaluation/timing on CPU in the first
    iteration

  * if training is aborted, exit with a non-0 exit status
2020-04-29 12:56:46 +02:00
Sofie Van Landeghem
a3965ec13d
tag-map-path since 2.2.4 instead of 2.2.3 (#5289) 2020-04-14 14:53:47 +02:00
Marek Grzenkowicz
6a8a52650f
[Closes #5292] Fix typo in option name "--n-save_every" (#5293)
* Sign contributor agreement for chopeen

* Fix typo in option name and close #5292
2020-04-11 23:35:01 +02:00
Alan Chan
2124be100d Tweak run-on sentence 2020-03-15 03:45:20 +08:00
Alan Chan
7c3a4ce933 Missing word in api/cli doc 2020-03-15 03:45:20 +08:00
Ines Montani
1d6aec805d Fix formatting and update docs for v2.2.4 2020-03-09 11:17:20 +01:00
adrianeboyd
7ad000fce7 Update docs for train CLI --use_gpu option (#4927) 2020-01-20 17:02:47 +01:00
Ines Montani
bf611ebca7 Document jsonl option on converter [ci skip] 2019-12-06 19:17:45 +01:00
Matthew Honnibal
d5509e0989 Support Mish activation (requires Thinc 7.3) (#4536)
* Add arch for MishWindowEncoder

* Support mish in tok2vec and conv window >=2

* Pass new tok2vec settings from parser

* Syntax error

* Fix tok2vec setting

* Fix registration of MishWindowEncoder

* Fix receptive field setting

* Fix mish arch

* Pass more options from parser

* Support more tok2vec options in pretrain

* Require thinc 7.3

* Add docs [ci skip]

* Require thinc 7.3.0.dev0 to run CI

* Run black

* Fix typo

* Update Thinc version


Co-authored-by: Ines Montani <ines@ines.io>
2019-10-28 15:16:33 +01:00
adrianeboyd
8516e9d53b Support train dict format as JSONL (#4471)
* Support train dict format as JSONL

* Add (overly simple) check for dict vs. tuple to read JSONL lines as
either train dicts or train tuples

* Extend JSON/JSONL roundtrip conversion tests using `docs_to_json()`
and `GoldCorpus.train_tuples`

* Revert docs to default JSON output with convert
2019-10-23 16:01:44 +02:00
Ines Montani
b6670bf0c2 Use consistent spelling 2019-10-02 10:37:39 +02:00
Ines Montani
f8d1e2f214 Update CLI docs [ci skip] 2019-09-28 13:12:30 +02:00
Matthew Honnibal
92ed4dc5e0
Allow vectors name to be set in init-model (#4321)
* Allow vectors name to be specified in init-model

* Document --vectors-name argument to init-model

* Update website/docs/api/cli.md

Co-Authored-By: Ines Montani <ines@ines.io>
2019-09-25 13:11:00 +02:00
Matthew Honnibal
e2047576c4 Fix merge conflict 2019-09-18 21:42:11 +02:00
Matthew Honnibal
46c02d25b1 Merge changes to test_ner 2019-09-18 21:41:24 +02:00
Ines Montani
6ebdc5f7d2 Update download docs [ci skip] 2019-09-18 21:21:39 +02:00
Ines Montani
ee15fdfe88 Fix wording [ci skip] 2019-09-17 14:59:42 +02:00
Ines Montani
f566e69f38 Fix --vectors-loc docs (closes #4270) 2019-09-17 14:59:12 +02:00
Ines Montani
25c2b4b9a5 Improve init-model docs (see #4137) 2019-09-17 14:51:44 +02:00
Ines Montani
198b7e9789 Auto-format [ci skip] 2019-09-17 14:48:35 +02:00
adrianeboyd
b5d999e510 Add textcat to train CLI (#4226)
* Add doc.cats to spacy.gold at the paragraph level

Support `doc.cats` as `"cats": [{"label": string, "value": number}]` in
the spacy JSON training format at the paragraph level.

* `spacy.gold.docs_to_json()` writes `docs.cats`

* `GoldCorpus` reads in cats in each `GoldParse`

* Update instances of gold_tuples to handle cats

Update iteration over gold_tuples / gold_parses to handle addition of
cats at the paragraph level.

* Add textcat to train CLI

* Add textcat options to train CLI
* Add textcat labels in `TextCategorizer.begin_training()`
* Add textcat evaluation to `Scorer`:
  * For binary exclusive classes with provided label: F1 for label
  * For 2+ exclusive classes: F1 macro average
  * For multilabel (not exclusive): ROC AUC macro average (currently
relying on sklearn)
* Provide user info on textcat evaluation settings, potential
incompatibilities
* Provide pipeline to Scorer in `Language.evaluate` for textcat config
* Customize train CLI output to include only metrics relevant to current
pipeline
* Add textcat evaluation to evaluate CLI

* Fix handling of unset arguments and config params

Fix handling of unset arguments and model confiug parameters in Scorer
initialization.

* Temporarily add sklearn requirement

* Remove sklearn version number

* Improve Scorer handling of models without textcats

* Fixing Scorer handling of models without textcats

* Update Scorer output for python 2.7

* Modify inf in Scorer for python 2.7

* Auto-format

Also make small adjustments to make auto-formatting with black easier and produce nicer results

* Move error message to Errors

* Update documentation

* Add cats to annotation JSON format [ci skip]

* Fix tpl flag and docs [ci skip]

* Switch to internal roc_auc_score

Switch to internal `roc_auc_score()` adapted from scikit-learn.

* Add AUCROCScore tests and improve errors/warnings

* Add tests for AUCROCScore and roc_auc_score
* Add missing error for only positive/negative values
* Remove unnecessary warnings and errors

* Make reduced roc_auc_score functions private

Because most of the checks and warnings have been stripped for the
internal functions and access is only intended through `ROCAUCScore`,
make the functions for roc_auc_score adapted from scikit-learn private.

* Check that data corresponds with multilabel flag

Check that the training instances correspond with the multilabel flag,
adding the multilabel flag if required.

* Add textcat score to early stopping check

* Add more checks to debug-data for textcat

* Add example training data for textcat

* Add more checks to textcat train CLI

* Check configuration when extending base model
* Fix typos

* Update textcat example data

* Provide licensing details and licenses for data
* Remove two labels with no positive instances from jigsaw-toxic-comment
data.


Co-authored-by: Ines Montani <ines@ines.io>
2019-09-15 22:31:31 +02:00
Ines Montani
b544dcb3c5 Document debug-data [ci skip] 2019-09-12 15:26:20 +02:00
Sofie Van Landeghem
0b4b4f1819 Documentation for Entity Linking (#4065)
* document token ent_kb_id

* document span kb_id

* update pipeline documentation

* prior and context weights as bool's instead

* entitylinker api documentation

* drop for both models

* finish entitylinker documentation

* small fixes

* documentation for KB

* candidate documentation

* links to api pages in code

* small fix

* frequency examples as counts for consistency

* consistent documentation about tensors returned by predict

* add entity linking to usage 101

* add entity linking infobox and KB section to 101

* entity-linking in linguistic features

* small typo corrections

* training example and docs for entity_linker

* predefined nlp and kb

* revert back to similarity encodings for simplicity (for now)

* set prior probabilities to 0 when excluded

* code clean up

* bugfix: deleting kb ID from tokens when entities were removed

* refactor train el example to use either model or vocab

* pretrain_kb example for example kb generation

* add to training docs for KB + EL example scripts

* small fixes

* error numbering

* ensure the language of vocab and nlp stay consistent across serialization

* equality with =

* avoid conflict in errors file

* add error 151

* final adjustements to the train scripts - consistency

* update of goldparse documentation

* small corrections

* push commit

* typo fix

* add candidate API to kb documentation

* update API sidebar with EntityLinker and KnowledgeBase

* remove EL from 101 docs

* remove entity linker from 101 pipelines / rephrase

* custom el model instead of existing model

* set version to 2.2 for EL functionality

* update documentation for 2 CLI scripts
2019-09-12 11:38:34 +02:00
adrianeboyd
82159b5c19 Updates/bugfixes for NER/IOB converters (#4186)
* Updates/bugfixes for NER/IOB converters

* Converter formats `ner` and `iob` use autodetect to choose a converter if
  possible

* `iob2json` is reverted to handle sentence-per-line data like
  `word1|pos1|ent1 word2|pos2|ent2`

  * Fix bug in `merge_sentences()` so the second sentence in each batch isn't
    skipped

* `conll_ner2json` is made more general so it can handle more formats with
  whitespace-separated columns

  * Supports all formats where the first column is the token and the final
    column is the IOB tag; if present, the second column is the POS tag

  * As in CoNLL 2003 NER, blank lines separate sentences, `-DOCSTART- -X- O O`
    separates documents

  * Add option for segmenting sentences (new flag `-s`)

  * Parser-based sentence segmentation with a provided model, otherwise with
    sentencizer (new option `-b` to specify model)

  * Can group sentences into documents with `n_sents` as long as sentence
    segmentation is available

  * Only applies automatic segmentation when there are no existing delimiters
    in the data

* Provide info about settings applied during conversion with warnings and
  suggestions if settings conflict or might not be not optimal.

* Add tests for common formats

* Add '(default)' back to docs for -c auto

* Add document count back to output

* Revert changes to converter output message

* Use explicit tabs in convert CLI test data

* Adjust/add messages for n_sents=1 default

* Add sample NER data to training examples

* Update README

* Add links in docs to example NER data

* Define msg within converters
2019-08-29 12:04:01 +02:00
BreakBB
6d9a7c0749 Add '--silent' argument to bash example of CLI Info 2019-07-19 10:00:45 +02:00
BreakBB
c8ba0f690d Fix --force parameter of CLI package 2019-07-19 10:00:45 +02:00
Björn Böing
04982ccc40 Update pretrain to prevent unintended overwriting of weight fil… (#3902)
* Update pretrain to prevent unintended overwriting of weight files for #3859

* Add '--epoch-start' to pretrain docs

* Add mising pretrain arguments to bash example

* Update doc tag for v2.1.5
2019-07-09 21:48:30 +02:00
Björn Böing
ebf5a04d6c Update pretrain docs and add unsupported loss_func error (#3860)
* Add error to `get_vectors_loss` for unsupported loss function of `pretrain`

* Add missing "--loss-func" argument to pretrain docs. Update pretrain plac annotations to match docs.

* Add missing quotation marks
2019-06-20 10:30:44 +02:00
BreakBB
d8573ee715 Update error raising for CLI pretrain to fix #3840 (#3843)
* Add check for empty input file to CLI pretrain

* Raise error if JSONL is not a dict or contains neither `tokens` nor `text` key

* Skip empty values for correct pretrain keys and log a counter as warning

* Add tests for CLI pretrain core function make_docs.

* Add a short hint for the `tokens` key to the CLI pretrain docs

* Add success message to CLI pretrain

* Update model loading to fix the tests

* Skip empty values and do not create docs out of it
2019-06-16 13:22:57 +02:00
Motoki Wu
9c064e6ad9 Add resume logic to spacy pretrain (#3652)
* Added ability to resume training

* Add to readmee

* Remove duplicate entry
2019-06-12 13:29:23 +02:00
devforfu
21af12eb53 Make "text" key in JSONL format optional when "tokens" key is provided (#3721)
* Fix issue with forcing text key when it is not required

* Extending the docs to reflect the new behavior
2019-05-11 15:41:29 +02:00
Ines Montani
65b55f1aaa Add version tag to --base-model argument (closes #3720) 2019-05-10 14:06:47 +02:00
Ines Montani
ec0d840ab5 Document early stopping 2019-04-22 14:31:32 +02:00
Ines Montani
1d567913f9 Update spacy evaluate example 2019-04-22 14:28:42 +02:00
Ines Montani
7917ce2f73 Make flag shortcut consistent and document 2019-04-22 14:23:44 +02:00
Motoki Wu
8e2cef49f3 Add save after --save-every batches for spacy pretrain (#3510)
<!--- Provide a general summary of your changes in the title. -->

When using `spacy pretrain`, the model is saved only after every epoch. But each epoch can be very big since `pretrain` is used for language modeling tasks. So I added a `--save-every` option in the CLI to save after every `--save-every` batches.

## 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. -->

To test...

Save this file to `sample_sents.jsonl`

```
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
{"text": "hello there."}
```

Then run `--save-every 2` when pretraining.

```bash
spacy pretrain sample_sents.jsonl en_core_web_md here -nw 1 -bs 1 -i 10 --save-every 2
```

And it should save the model to the `here/` folder after every 2 batches. The models that are saved during an epoch will have a `.temp` appended to the save name.

At the end the training, you should see these files (`ls here/`):

```bash
config.json     model2.bin      model5.bin      model8.bin
log.jsonl       model2.temp.bin model5.temp.bin model8.temp.bin
model0.bin      model3.bin      model6.bin      model9.bin
model0.temp.bin model3.temp.bin model6.temp.bin model9.temp.bin
model1.bin      model4.bin      model7.bin
model1.temp.bin model4.temp.bin model7.temp.bin
```

### 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? -->

This is a new feature to `spacy pretrain`.

🌵 **Unfortunately, I haven't been able to test this because compiling from source is not working (cythonize error).** 

```
Processing matcher.pyx
[Errno 2] No such file or directory: '/Users/mwu/github/spaCy/spacy/matcher.pyx'
Traceback (most recent call last):
  File "/Users/mwu/github/spaCy/bin/cythonize.py", line 169, in <module>
    run(args.root)
  File "/Users/mwu/github/spaCy/bin/cythonize.py", line 158, in run
    process(base, filename, db)
  File "/Users/mwu/github/spaCy/bin/cythonize.py", line 124, in process
    preserve_cwd(base, process_pyx, root + ".pyx", root + ".cpp")
  File "/Users/mwu/github/spaCy/bin/cythonize.py", line 87, in preserve_cwd
    func(*args)
  File "/Users/mwu/github/spaCy/bin/cythonize.py", line 63, in process_pyx
    raise Exception("Cython failed")
Exception: Cython failed
Traceback (most recent call last):
  File "setup.py", line 276, in <module>
    setup_package()
  File "setup.py", line 209, in setup_package
    generate_cython(root, "spacy")
  File "setup.py", line 132, in generate_cython
    raise RuntimeError("Running cythonize failed")
RuntimeError: Running cythonize failed
```

Edit: Fixed! after deleting all `.cpp` files: `find spacy -name "*.cpp" | xargs rm`

## 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.
2019-04-22 14:10:16 +02:00
Ines Montani
5289dd1356 Fix formatting 2019-04-13 17:58:26 +02:00
Bharat Raghunathan
72820896d4 Fix typo in web docs cli.md (#3559) 2019-04-09 11:40:03 +02:00
Matthew Honnibal
62afa64a8d Expose batch size and length caps on CLI for pretrain (#3417)
Add and document CLI options for batch size, max doc length, min doc length for `spacy pretrain`.

Also improve CLI output.

Closes #3216 

## 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.
2019-03-16 21:38:45 +01:00
Ines Montani
76764fcf59 💫 Improve converters and training data file formats (#3374)
* Populate converter argument info automatically

* Add conversion option for msgpack

* Update docs

* Allow reading training data from JSONL
2019-03-08 23:15:23 +01:00
Ines Montani
fa7314b221 Clarify train_path and dev_path format (see #3366) [ci skip] 2019-03-07 12:23:27 +01:00
Ines Montani
e9babd9973 Update hyperparameters section (see #3352) 2019-03-06 14:40:30 +01:00
Ines Montani
5eadf61327 Update pretraining docs on file format (closes #3354) 2019-03-04 16:30:13 +00:00
Ines Montani
e597110d31
💫 Update website (#3285)
<!--- Provide a general summary of your changes in the title. -->

## Description

The new website is implemented using [Gatsby](https://www.gatsbyjs.org) with [Remark](https://github.com/remarkjs/remark) and [MDX](https://mdxjs.com/). This allows authoring content in **straightforward Markdown** without the usual limitations. Standard elements can be overwritten with powerful [React](http://reactjs.org/) components and wherever Markdown syntax isn't enough, JSX components can be used. Hopefully, this update will also make it much easier to contribute to the docs. Once this PR is merged, I'll implement auto-deployment via [Netlify](https://netlify.com) on a specific branch (to avoid building the website on every PR). There's a bunch of other cool stuff that the new setup will allow us to do – including writing front-end tests, service workers, offline support, implementing a search and so on.

This PR also includes various new docs pages and content.
Resolves #3270. Resolves #3222. Resolves #2947. Resolves #2837.


### 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.
2019-02-17 19:31:19 +01:00