mirror of
https://github.com/explosion/spaCy.git
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60f22e1800
* 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
30 lines
591 B
Plaintext
30 lines
591 B
Plaintext
# Our libraries
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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>=8.0.0a31,<8.0.0a40
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blis>=0.4.0,<0.5.0
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ml_datasets>=0.1.1
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murmurhash>=0.28.0,<1.1.0
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wasabi>=0.8.0,<1.1.0
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srsly>=2.1.0,<3.0.0
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catalogue>=2.0.1,<2.1.0
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typer>=0.3.0,<0.4.0
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pathy
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# Third party dependencies
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numpy>=1.15.0
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requests>=2.13.0,<3.0.0
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tqdm>=4.38.0,<5.0.0
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pydantic>=1.3.0,<2.0.0
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pytokenizations
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# Official Python utilities
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setuptools
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packaging
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importlib_metadata>=0.20; python_version < "3.8"
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# Development dependencies
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cython>=0.25
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pytest>=4.6.5
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pytest-timeout>=1.3.0,<2.0.0
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mock>=2.0.0,<3.0.0
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flake8>=3.5.0,<3.6.0
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jinja2
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