mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-10 19:57:17 +03:00
f9946154d9
* Draft spancat model
* Add spancat model
* Add test for extract_spans
* Add extract_spans layer
* Upd extract_spans
* Add spancat model
* Add test for spancat model
* Upd spancat model
* Update spancat component
* Upd spancat
* Update spancat model
* Add quick spancat test
* Import SpanCategorizer
* Fix SpanCategorizer component
* Import SpanGroup
* Fix span extraction
* Fix import
* Fix import
* Upd model
* Update spancat models
* Add scoring, update defaults
* Update and add docs
* Fix type
* Update spacy/ml/extract_spans.py
* Auto-format and fix import
* Fix comment
* Fix type
* Fix type
* Update website/docs/api/spancategorizer.md
* Fix comment
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Better defense
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Fix labels list
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Update spacy/ml/extract_spans.py
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Update spacy/pipeline/spancat.py
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Set annotations during update
* Set annotations in spancat
* fix imports in test
* Update spacy/pipeline/spancat.py
* replace MaxoutLogistic with LinearLogistic
* fix config
* various small fixes
* remove set_annotations parameter in update
* use our beloved tupley format with recent support for doc.spans
* bugfix to allow renaming the default span_key (scores weren't showing up)
* use different key in docs example
* change defaults to better-working parameters from project (WIP)
* register spacy.extract_spans.v1 for legacy purposes
* Upd dev version so can build wheel
* layers instead of architectures for smaller building blocks
* Update website/docs/api/spancategorizer.md
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Update website/docs/api/spancategorizer.md
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Include additional scores from overrides in combined score weights
* Parameterize spans key in scoring
Parameterize the `SpanCategorizer` `spans_key` for scoring purposes so
that it's possible to evaluate multiple `spancat` components in the same
pipeline.
* Use the (intentionally very short) default spans key `sc` in the
`SpanCategorizer`
* Adjust the default score weights to include the default key
* Adjust the scorer to use `spans_{spans_key}` as the prefix for the
returned score
* Revert addition of `attr_name` argument to `score_spans` and adjust
the key in the `getter` instead.
Note that for `spancat` components with a custom `span_key`, the score
weights currently need to be modified manually in
`[training.score_weights]` for them to be available during training. To
suppress the default score weights `spans_sc_p/r/f` during training, set
them to `null` in `[training.score_weights]`.
* Update website/docs/api/scorer.md
* Fix scorer for spans key containing underscore
* Increment version
* Add Spans to Evaluate CLI (#8439)
* Add Spans to Evaluate CLI
* Change to spans_key
* Add spans per_type output
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Fix spancat GPU issues (#8455)
* Fix GPU issues
* Require thinc >=8.0.6
* Switch to glorot_uniform_init
* Fix and test ngram suggester
* Include final ngram in doc for all sizes
* Fix ngrams for docs of the same length as ngram size
* Handle batches of docs that result in no ngrams
* Add tests
Co-authored-by: Ines Montani <ines@ines.io>
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
Co-authored-by: Nirant <NirantK@users.noreply.github.com>
131 lines
3.1 KiB
INI
131 lines
3.1 KiB
INI
[metadata]
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description = Industrial-strength Natural Language Processing (NLP) in Python
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url = https://spacy.io
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author = Explosion
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author_email = contact@explosion.ai
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license = MIT
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long_description = file: README.md
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long_description_content_type = text/markdown
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classifiers =
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Development Status :: 5 - Production/Stable
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Environment :: Console
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Intended Audience :: Developers
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Intended Audience :: Science/Research
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License :: OSI Approved :: MIT License
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Operating System :: POSIX :: Linux
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Operating System :: MacOS :: MacOS X
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Operating System :: Microsoft :: Windows
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Programming Language :: Cython
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Programming Language :: Python :: 3
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Programming Language :: Python :: 3.6
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Programming Language :: Python :: 3.7
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Programming Language :: Python :: 3.8
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Programming Language :: Python :: 3.9
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Topic :: Scientific/Engineering
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project_urls =
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Release notes = https://github.com/explosion/spaCy/releases
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Source = https://github.com/explosion/spaCy
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[options]
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zip_safe = false
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include_package_data = true
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python_requires = >=3.6
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setup_requires =
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cython>=0.25,<3.0
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numpy>=1.15.0
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# We also need our Cython packages here to compile against
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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murmurhash>=0.28.0,<1.1.0
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thinc>=8.0.6,<8.1.0
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install_requires =
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# Our libraries
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spacy-legacy>=3.0.6,<3.1.0
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murmurhash>=0.28.0,<1.1.0
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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thinc>=8.0.6,<8.1.0
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blis>=0.4.0,<0.8.0
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wasabi>=0.8.1,<1.1.0
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srsly>=2.4.1,<3.0.0
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catalogue>=2.0.4,<2.1.0
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typer>=0.3.0,<0.4.0
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pathy>=0.3.5
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# Third-party dependencies
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tqdm>=4.38.0,<5.0.0
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numpy>=1.15.0
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requests>=2.13.0,<3.0.0
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pydantic>=1.7.4,!=1.8,!=1.8.1,<1.9.0
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jinja2
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# Official Python utilities
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setuptools
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packaging>=20.0
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typing_extensions>=3.7.4,<4.0.0.0; python_version < "3.8"
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[options.entry_points]
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console_scripts =
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spacy = spacy.cli:setup_cli
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[options.extras_require]
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lookups =
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spacy_lookups_data>=1.0.2,<1.1.0
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transformers =
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spacy_transformers>=1.0.1,<1.1.0
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ray =
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spacy_ray>=0.1.0,<1.0.0
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cuda =
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cupy>=5.0.0b4,<10.0.0
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cuda80 =
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cupy-cuda80>=5.0.0b4,<10.0.0
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cuda90 =
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cupy-cuda90>=5.0.0b4,<10.0.0
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cuda91 =
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cupy-cuda91>=5.0.0b4,<10.0.0
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cuda92 =
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cupy-cuda92>=5.0.0b4,<10.0.0
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cuda100 =
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cupy-cuda100>=5.0.0b4,<10.0.0
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cuda101 =
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cupy-cuda101>=5.0.0b4,<10.0.0
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cuda102 =
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cupy-cuda102>=5.0.0b4,<10.0.0
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cuda110 =
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cupy-cuda110>=5.0.0b4,<10.0.0
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cuda111 =
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cupy-cuda111>=5.0.0b4,<10.0.0
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cuda112 =
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cupy-cuda112>=5.0.0b4,<10.0.0
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# Language tokenizers with external dependencies
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ja =
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sudachipy>=0.4.9
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sudachidict_core>=20200330
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ko =
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natto-py==0.9.0
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th =
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pythainlp>=2.0
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[bdist_wheel]
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universal = false
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[sdist]
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formats = gztar
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[flake8]
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ignore = E203, E266, E501, E731, W503, E741
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max-line-length = 80
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select = B,C,E,F,W,T4,B9
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exclude =
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.env,
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.git,
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__pycache__,
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_tokenizer_exceptions_list.py,
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[tool:pytest]
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markers =
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slow
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[mypy]
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ignore_missing_imports = True
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no_implicit_optional = True
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plugins = pydantic.mypy, thinc.mypy
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