* 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
* Perserve flags in EntityRuler
The EntityRuler (explosion/spaCy#3526) does not preserve
overwrite flags (or `ent_id_sep`) when serialized. This
commit adds support for serialization/deserialization preserving
overwrite and ent_id_sep flags.
* add signed contributor agreement
* flake8 cleanup
mostly blank line issues.
* mark test from the issue as needing a model
The test from the issue needs some language model for serialization
but the test wasn't originally marked correctly.
* Adds `phrase_matcher_attr` to allow args to PhraseMatcher
This is an added arg to pass to the `PhraseMatcher`. For example,
this allows creation of a case insensitive phrase matcher when the
`EntityRuler` is created. References explosion/spaCy#3822
* remove unneeded model loading
The model didn't need to be loaded, and I replaced it with
a change that doesn't require it (using existings fixtures)
* updated docstring for new argument
* updated docs to reflect new argument to the EntityRuler constructor
* change tempdir handling to be compatible with python 2.7
* return conflicted code to entityruler
Some stuff got cut out because of merge conflicts, this
returns that code for the phrase_matcher_attr.
* fixed typo in the code added back after conflicts
* flake8 compliance
When I deconflicted the branch there were some flake8 issues
introduced. This resolves the spacing problems.
* test changes: attempts to fix flaky test in python3.5
These tests seem to be alittle flaky in 3.5 so I changed the check to avoid
the comparisons that seem to be fail sometimes.
* Perserve flags in EntityRuler
The EntityRuler (explosion/spaCy#3526) does not preserve
overwrite flags (or `ent_id_sep`) when serialized. This
commit adds support for serialization/deserialization preserving
overwrite and ent_id_sep flags.
* add signed contributor agreement
* flake8 cleanup
mostly blank line issues.
* mark test from the issue as needing a model
The test from the issue needs some language model for serialization
but the test wasn't originally marked correctly.
* remove unneeded model loading
The model didn't need to be loaded, and I replaced it with
a change that doesn't require it (using existings fixtures)
* change tempdir handling to be compatible with python 2.7
* Adds code to handle item saved before this change.
This code chanes how the save files are handled and how the bytes
are stored as well. This code adds check to dispatch correctly
if it encounters bytes or files saved in the old format (and tests
for those cases).
* use util function for tempdir management
Updated after PR comments: this code now uses the make_tempdir function from util
instead of doing it by hand.
* Norwegian fix
Add support for alternative past tense verb form (vaska).
* Norwegian months
Add all Norwegian months to tokenizer excpetions.
* More Norwegian abbreviations
Add more Norwegian abbreviations to tokenizer_exceptions.
* Contributor agreement khellan
Add signed contributor agreement for khellan (Knut O. Hellan).
* initial LT lang support
* Added more stopwords. Started setting up some basic test environment (not complete)
* Initial morph rules for LT lang
* Closes#1 Adds tokenizer exceptions for Lithuanian
* Closes#5 Punctuation rules. Closes#6 Lexical Attributes
* test: add native examples to basic tests
* feat: add tag map for lt lang
* fix: remove undefined tag attribute 'Definite'
* feat: add lemmatizer for lt lang
* refactor: add new instances to lt lang morph rules; use tags from tag map
* refactor: add morph rules to lt lang defaults
* refactor: only keep nouns, verbs, adverbs and adjectives in lt lang lemmatizer lookup
* refactor: add capitalized words to lt lang lemmatizer
* refactor: add more num words to lt lang lex attrs
* refactor: update lt lang stop word set
* refactor: add new instances to lt lang tokenizer exceptions
* refactor: remove comments form lt lang init file
* refactor: use function instead of lambda in lt lex lang getter
* refactor: remove conversion to dict in lt init when dict is already provided
* chore: rename lt 'test_basic' to 'test_text'
* feat: add more lt text tests
* feat: add lemmatizer tests
* refactor: remove unused imports, add newline to end of file
* chore: add contributor agreement
* chore: change 'en' to 'lt' in lt example description
* fix: add missing encoding info
* style: add newline to end of file
* refactor: use python2 compatible syntax
* style: reformat code using black
* 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
* Adding support for entity_id in EntityRuler pipeline component
* Adding Spacy Contributor aggreement
* Updating EntityRuler to use string.format instead of f strings
* Update Entity Ruler to support an 'id' attribute per pattern that explicitly identifies an entity.
* Fixing tests
* Remove custom extension entity_id and use built in ent_id token attribute.
* Changing entity_id to ent_id for consistent naming
* entity_ids => ent_ids
* Removing kb, cleaning up tests, making util functions private, use rsplit instead of split
* 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
* Update norm_exceptions.py
Extended the Currency set to include Franc, Indian Rupee, Bangladeshi Taka, Korean Won, Mexican Dollar, and Egyptian Pound
* Fix formatting [ci skip]
* Adding Marathi language details and folder to it
* Adding few changes and running tests
* Adding few changes and running tests
* Update __init__.py
mh -> mr
* Rename spacy/lang/mh/__init__.py to spacy/lang/mr/__init__.py
* mh -> mr
* Add custom __dir__ to Underscore (see #3707)
* Make sure custom extension methods keep their docstrings (see #3707)
* Improve tests
* Prepend note on partial to docstring (see #3707)
* Remove print statement
* Handle cases where docstring is None
* Update glossary.py to match information found in documentation
I used regexes to add any dependency tag that was in the documentation but not in the glossary. Solves #3679👍
* Adds forgotten colon
* test sPacy commit to git fri 04052019 10:54
* change Data format from my format to master format
* ทัทั้งนี้ ---> ทั้งนี้
* delete stop_word translate from Eng
* Adjust formatting and readability
* add Thai norm_exception
* Add Dobita21 SCA
* editรึ : หรือ,
* Update Dobita21.md
* Auto-format
* Integrate norms into language defaults
* add acronym and some norm exception words
* add lex_attrs
* Add lexical attribute getters into the language defaults
* fix LEX_ATTRS
Co-authored-by: Donut <dobita21@gmail.com>
Co-authored-by: Ines Montani <ines@ines.io>
* test sPacy commit to git fri 04052019 10:54
* change Data format from my format to master format
* ทัทั้งนี้ ---> ทั้งนี้
* delete stop_word translate from Eng
* Adjust formatting and readability
* add Thai norm_exception
* Add Dobita21 SCA
* editรึ : หรือ,
* Update Dobita21.md
* Auto-format
* Integrate norms into language defaults
* add acronym and some norm exception words
