Factual package intelligence from PyPI

nlpboost 0.0.1 package intelligence

A package for automatic training of NLP (transformers) models

pip install nlpboost

Current version
0.0.1
Python requirement
>=3.9.13,<3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
103.7 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

nlpboost dependencies

PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. transformers >=4.16
  2. datasets >=1.11.0
  3. optuna >=3.0.2
  4. scikit-learn >=1.0.2
  5. nltk ==3.7
  6. rouge-score ==0.1.2
  7. tensorboard ==2.10.1
  8. tensorboardX ==2.5.1
  9. sentencepiece ==0.1.97
  10. apscheduler ==3.6.3
  11. seaborn ==0.12.0
  12. nlpaug ==1.1.11
  13. simpletransformers >=0.61.10
  14. pandas >=1.3.5
  15. tqdm ==4.64.1
  16. evaluate ==0.2.2
  17. more-itertools ==8.14.0
  18. polyfuzz ==0.4.0
  19. seqeval ==1.2.2
  20. sphinxemoji ==0.2.0
  21. pytest ==7.1.3
  22. sphinx ==5.3.0
  23. sphinx-rtd-theme >=1.1.1
  24. readthedocs-sphinx-search ==0.1.2
  25. sphinxcontrib-applehelp ==1.0.2

The compact report shows 25 of 31 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

nlpboost publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release 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 .