Factual package intelligence from PyPI

autoguard-ml 0.2.3 package intelligence

Unified AutoML + Dataset Diagnosis + Drift Detection for production ML

pip install autoguard-ml

Current version
0.2.3
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
118.0 KiB
Release history
5 releases with files
Median release cadence
0 days

autoguard-ml dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24.0
  2. pandas >=2.0.0
  3. scikit-learn >=1.3.0
  4. xgboost >=2.0.0
  5. lightgbm >=4.0.0
  6. optuna >=3.4.0
  7. shap >=0.43.0
  8. matplotlib >=3.7.0
  9. seaborn >=0.12.0
  10. scipy >=1.11.0
  11. pyyaml >=6.0
  12. rich >=13.0.0
  13. click >=8.1.0
  14. joblib >=1.3.0
  15. imbalanced-learn >=0.11.0
  16. tabulate >=0.9.0
  17. tqdm >=4.66.0
  18. jinja2 >=3.1.0

The compact report shows 25 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

autoguard-ml publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 5 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 .