Factual package intelligence from PyPI

happy-learning 0.5.0 package intelligence

Toolbox for reinforced developing of machine learning models (as proof-of-concept)

pip install happy-learning

Current version
0.5.0
Python requirement
>=3.6
License
GNU
Distribution type
Pure Python wheel
Release files
3 (1 wheels, 1 source)
Download size
915.3 KiB
Release history
49 releases with files
Median release cadence
1 days

happy-learning dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. catboost ==0.24.2
  2. Chaid ==5.3.0
  3. combo ==0.1.1
  4. dask-ml ==1.7.0
  5. easyexplore ==0.7.4
  6. emoji ==0.6.0
  7. fast-gsdmm ==0.0.1
  8. gensim ==3.8.3
  9. geocoder ==1.38.1
  10. googletrans ==3.0.0
  11. nltk ==3.5
  12. mlflow ==1.24.0
  13. protobuf ==3.20.3
  14. pygam ==0.8.0
  15. requests ==2.24.0
  16. sentence-transformers ==0.4.1
  17. spacy ==2.3.2
  18. sqlalchemy ==1.3.19
  19. statsmodels ==0.12.0
  20. torch ==1.7.0
  21. torchtext ==0.8.0
  22. xgboost ==1.7.5

Compatibility and release files

happy-learning publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8.

Release activity and sources

PyPI lists 49 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .