Factual package intelligence from PyPI

lbl2vec 1.0.2 package intelligence

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

pip install lbl2vec

Current version
1.0.2
Python requirement
>=3.8
License
BSD 3-Clause "New" or "Revised" License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
48.8 KiB
Release history
3 releases with files
Median release cadence
264 days

lbl2vec dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.3.0
  2. numpy >=1.21.0
  3. gensim >=4.0.1
  4. scikit-learn >=0.24.2
  5. psutil >=5.8.0
  6. syntok >=1.4.4
  7. sentence-transformers >=2.2.2
  8. transformers >=4.24.0
  9. torch >=1.13
  10. ray >=2.1.0

Compatibility and release files

lbl2vec publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .