Commit Graph

46 Commits

Author SHA1 Message Date
Ines Montani
6e303de717 Auto-format 2019-11-20 13:15:24 +01:00
adrianeboyd
56ad3a3988 Add LAS per dependency to Scorer (#4560) 2019-10-31 21:18:16 +01:00
Ines Montani
181c01f629 Tidy up and auto-format 2019-10-18 11:27:38 +02:00
adrianeboyd
29e3da6493 Add missing cats to gold annot_tuples in Scorer (#4466)
Add missing `cats` in `Scorer` call to `GoldParse.from_annot_tuples()`
when the `doc` and `gold` have differing lengths.
2019-10-18 11:00:02 +02:00
Ines Montani
2e5ab5b59c Make except more explicit 2019-09-18 19:57:08 +02:00
Ines Montani
1f648ecb76 Auto-format 2019-09-18 19:56:55 +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
009280fbc5 Tidy up and auto-format 2019-08-18 15:09:16 +02:00
adrianeboyd
925a852bb6 Improve NER per type scoring (#4052)
* Improve NER per type scoring

* include all gold labels in per type scoring, not only when recall > 0
* improve efficiency of per type scoring

* Create Scorer tests, initially with NER tests

* move regression test #3968 (per type NER scoring) to Scorer tests

* add new test for per type NER scoring with imperfect P/R/F and per
type P/R/F including a case where R == 0.0
2019-08-01 17:15:36 +02:00
Falak Asad
ff1e73e35c Bugfix/issue 3968 (#3982)
* Fix for issue-3968

* Added contributor agreement

* Made suggested changes
2019-07-18 00:20:32 +02:00
Ines Montani
8721849423 Update Scorer.ents_per_type 2019-07-10 11:19:28 +02:00
Alejandro Alcalde
6d577f0b92 Evaluation of NER model per entity type, closes #3490 (#3911)
* Evaluation of NER model per entity type, closes ##3490

Now each ent score is tracked individually in order to have its own Precision, Recall and F1 Score

* Keep track of each entity individually using dicts

* Improving how to compute the scores for each entity

* Fixed bug computing scores for ents

* Formatting with black

* Added key ents_per_type to the scores function

The key `ents_per_type` contains the metrics Precision, Recall and F1-Score for each entity individually
2019-07-09 20:54:59 +02:00
Ines Montani
b78a8dc1d2 Update Scorer and add API docs 2019-05-24 14:06:04 +02:00
Ines Montani
eddeb36c96
💫 Tidy up and auto-format .py files (#2983)
<!--- Provide a general summary of your changes in the title. -->

## Description
- [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files.
- [x] Update flake8 config to exclude very large files (lemmatization tables etc.)
- [x] Update code to be compatible with flake8 rules
- [x] Fix various small bugs, inconsistencies and messy stuff in the language data
- [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means)

Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results.

At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information.

### Types of change
enhancement, code style

## 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.
2018-11-30 17:03:03 +01:00
Matthew Honnibal
d44bb45c72 Fix scoring if tokenization changes 2018-05-01 01:33:20 +02:00
Matthew Honnibal
2c4a6d66fa Merge master into develop. Big merge, many conflicts -- need to review 2018-04-29 14:49:26 +02:00
Ines Montani
3141e04822
💫 New system for error messages and warnings (#2163)
* Add spacy.errors module

* Update deprecation and user warnings

* Replace errors and asserts with new error message system

* Remove redundant asserts

* Fix whitespace

* Add messages for print/util.prints statements

* Fix typo

* Fix typos

* Move CLI messages to spacy.cli._messages

* Add decorator to display error code with message

An implementation like this is nice because it only modifies the string when it's retrieved from the containing class – so we don't have to worry about manipulating tracebacks etc.

* Remove unused link in spacy.about

* Update errors for invalid pipeline components

* Improve error for unknown factories

* Add displaCy warnings

* Update formatting consistency

* Move error message to spacy.errors

* Update errors and check if doc returned by component is None
2018-04-03 15:50:31 +02:00
Matthew Honnibal
1f7229f40f Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop"
This reverts commit c9ba3d3c2d, reversing
changes made to 92c26a35d4.
2018-03-27 19:23:02 +02:00
ines
d96e72f656 Tidy up rest 2017-10-27 21:07:59 +02:00
ines
91899d337b Tidy up language, lemmatizer and scorer 2017-10-27 14:40:14 +02:00
ines
d24589aa72 Clean up imports, unused code, whitespace, docstrings 2017-04-15 12:05:47 +02:00
ines
561f2a3eb4 Use consistent formatting for docstrings 2017-04-15 11:59:21 +02:00
Matthew Honnibal
2611ac2a89 Fix scorer bug for NER, related to ambiguity between missing annotations and misaligned tokens 2017-03-16 09:38:28 -05:00
Matthew Honnibal
664f2dd1c0 Allow dep to be None in scorer, for missing labels. 2016-11-25 09:02:49 -06:00
Matthew Honnibal
ea23b64cc8 Refactor training, with new spacy.train module. Defaults still a little awkward. 2016-10-09 12:24:24 +02:00
Matthew Honnibal
99b8906100 * Accept punct_labels as an argument to the scorer 2016-02-02 22:59:06 +01:00
Matthew Honnibal
ddc1a5cfe5 * Fix training under python3 2015-07-28 14:09:30 +02:00
Matthew Honnibal
0c4b5a2bb0 * Start scoring tokens 2015-06-28 06:21:38 +02:00
Matthew Honnibal
cfcbd8d256 * Fix punctuation eval in scorer.py 2015-06-28 01:31:39 +02:00
Matthew Honnibal
f868175e43 * Whitespace 2015-06-16 23:37:46 +02:00
Matthew Honnibal
e50ac1a47f * Add verbose printing to scorer 2015-06-14 17:45:50 +02:00
Matthew Honnibal
00a0dfcb59 * Avoid shipping the spacy.munge package 2015-06-08 00:54:13 +02:00
Matthew Honnibal
1ec4e6fc95 * Don't score whitespace tokens 2015-06-07 19:10:32 +02:00
Matthew Honnibal
c4f0914b4e * Fix POS tag evaluation in scorer.py: do evaluate punctuation tags 2015-05-30 18:24:32 +02:00
Matthew Honnibal
6b2e5c4b8a * Avoid NER scoring for sentences with some missing NER values. 2015-05-28 22:39:08 +02:00
Matthew Honnibal
4c6058baa7 * Fix evaluation of NER in scorer.py 2015-05-27 03:18:16 +02:00
Matthew Honnibal
765b61cac4 * Update spacy.scorer, to use P/R/F to support tokenization errors 2015-05-24 20:07:18 +02:00
Matthew Honnibal
1044a13413 * Begin refactoring scorer to use recall over gold dependencies 2015-05-24 17:40:15 +02:00
Matthew Honnibal
20f1d868a3 * Tmp commit. Working on whole document parsing 2015-05-24 02:49:56 +02:00
Matthew Honnibal
69840d8cc3 * Tweak verbose output printing in scorer.py 2015-05-12 20:27:56 +02:00
Jordan Suchow
3a8d9b37a6 Remove trailing whitespace 2015-04-19 13:01:38 -07:00
Matthew Honnibal
021c972137 * Print parse if verbose in scorer 2015-04-05 22:29:30 +02:00
Matthew Honnibal
f4cc222ec3 * Fix NER scoring 2015-03-26 16:45:38 +01:00
Matthew Honnibal
2e12dec76e * Adjust scorer to account for tokenization mistakes 2015-03-26 16:44:47 +01:00
Matthew Honnibal
903f196b3f * Fix verbose printing for scorer 2015-03-26 16:44:44 +01:00
Matthew Honnibal
7ecb52c0ed * Add scorer script 2015-03-26 16:44:44 +01:00