Factual package intelligence from PyPI

autoviml 0.2.2 package intelligence

Automatically Build Variant Interpretable ML models fast - now with CatBoost!

pip install autoviml

Current version
0.2.2
Python requirement
Not declared
License
Apache License 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
262.1 KiB
Release history
149 releases with files
Median release cadence
1 days

autoviml dependencies

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

  1. numpy <2
  2. pandas >=2.0
  3. scipy ==1.11.4
  4. xlrd
  5. matplotlib >3.7.4
  6. beautifulsoup4
  7. emoji
  8. ipython
  9. jupyter
  10. seaborn
  11. catboost >=1.2.7
  12. textblob
  13. nltk
  14. regex
  15. xgboost <=1.7.6,>=0.82
  16. vaderSentiment
  17. imbalanced-learn >=0.10.1
  18. shap >=0.36.0
  19. scikit-learn <=1.5.2,>=0.24
  20. lightgbm >=3.0.0
  21. networkx >=3.1
  22. pandas-dq >=1.29

Compatibility and release files

autoviml publishes 1 wheel and 1 source archive for version 0.2.2. 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 149 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .