Factual package intelligence from PyPI

ja-ginza 5.2.0 package intelligence

Japanese multi-task CNN trained on UD-Japanese BCCWJ r2.8 + GSK2014-A(2019). Assigns word2vec token vectors. Components: tok2vec, parser, ner, morphologizer, atteribute_ruler, compound_splitter, bunsetu_recognizer.

pip install ja-ginza

Current version
5.2.0
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
112.6 MiB
Release history
8 releases with files
Median release cadence
198 days

ja-ginza dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. spacy <4.0.0,>=3.4.4
  2. sudachipy <0.7.0,>=0.6.2
  3. sudachidict-core >=20210802
  4. ginza <5.3.0,>=5.2.0

Compatibility and release files

ja-ginza publishes 1 wheel and 1 source archive for version 5.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .