Wheelodex » Projects » b-labs-models

b-labs-models

View on PyPI — Reverse Dependencies (0)

2017.8.22 b_labs_models-2017.8.22-py2.py3-none-any.whl

Wheel Details

Project: b-labs-models
Version: 2017.8.22
Filename: b_labs_models-2017.8.22-py2.py3-none-any.whl
Download: [link]
Size: 3008885
MD5: f78cf1c20faf5c0210efb2585c3599ea
SHA256: d76b43f5f1f3fd1ce4a1bdd6ec3614b574576741337f6f0cdb353af6ac351851
Uploaded: 2017-08-22 15:49:25 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.0
Name: b-labs-models
Version: 2017.8.22
Summary: Ready to use CRFSuite models for sentence segmentation, tokenization and so on
Author: Dmitry Veselov
Author-Email: d.a.veselov[at]yandex.ru
Home-Page: https://github.com/bureaucratic-labs/models
License: MIT
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Natural Language :: Russian
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing :: Linguistic
Requires-Dist: python-crfsuite
Requires-Dist: pytest; extra == "test"
Requires-Dist: numpy; extra == "train"
Requires-Dist: opencorpora-tools; extra == "train"
Requires-Dist: scikit-learn; extra == "train"
Requires-Dist: scipy; extra == "train"
Requires-Dist: tqdm; extra == "train"
Provides-Extra: test
Provides-Extra: train
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.29.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
b_labs_models/__init__.py sha256=0pt2gx4mE7HYbnK47l3MfKw2_Nn1F0EbuCB_XQWHfUM 155
b_labs_models/morphology.py sha256=CYSeqiAGT7hCCh75Lc6ZmIcvfLbeOiTUdcPMT_19Xu0 7168
b_labs_models/segmentation.py sha256=wndMe1lWgEIo5QI8V97iS4KiG93UfZBMpiX3SR15uGw 4958
b_labs_models/settings.py sha256=p-eivh9CFv373JDsYUC8jCzHfrfGemhYR4I3vtzkJwk 403
b_labs_models/tokenization.py sha256=G9Luom7cDQjc03EUQVo-f-wkr-vmhuIlhuiSRoPddfE 4210
b_labs_models/data/part-of-speech.crfsuite sha256=YJ_4fuO6CVtryAUyYZAPaJ8oJJYLHf031SzwnM8OaWI 7206068
b_labs_models/data/sentence-segmentation-model.crfsuite sha256=m_RSOcoW9dAt1kmPHgPgXPfbk-JwWdkL1ZmG997WFho 58820
b_labs_models/data/tokenization-model.crfsuite sha256=-lj3oV8oO8hQqN0kGSttYTXicz6nabOiVYm8fTWwFRE 74872
b_labs_models/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
b_labs_models/tests/test_pos_tagger.py sha256=8FXrveGVRZB9ELEQrQ-hzsU3p1IAudNwWd-yYzIyOcE 439
b_labs_models/tests/test_segmentation.py sha256=vH4JBblthciRT1d-YGouu3jttgXl5kmjQiWhT99jFNk 2350
b_labs_models/tests/test_tokenizer.py sha256=X-gqy32Uns9lSwv-ZSOXtulYOp3htNORoTfv5_fNW6E 490
b_labs_models-2017.8.22.dist-info/DESCRIPTION.rst sha256=OCTuuN6LcWulhHS3d5rfjdsQtW22n7HENFRh6jC6ego 10
b_labs_models-2017.8.22.dist-info/METADATA sha256=OkWdsTbY9Q3iCP_M8228Z-uTkoFr0ExUMhvi_4bL1Ao 979
b_labs_models-2017.8.22.dist-info/RECORD — —
b_labs_models-2017.8.22.dist-info/WHEEL sha256=o2k-Qa-RMNIJmUdIc7KU6VWR_ErNRbWNlxDIpl7lm34 110
b_labs_models-2017.8.22.dist-info/metadata.json sha256=MTieFTTD-0wA_36iFbG3ViMWcFx4ayb-VplxDcqYqOw 1005
b_labs_models-2017.8.22.dist-info/top_level.txt sha256=AOrNhPL0GoJ9lYEjCNlNsH6bDReX3x2INjNyv_8SHh0 14

top_level.txt

b_labs_models