Factual package intelligence from PyPI

bayesian-dpddm 1.0.6 package intelligence

Implements Bayesian D-PDDM for Post-Deployment Deterioration Monitoring of ML models.

pip install bayesian-dpddm

Current version
1.0.6
Python requirement
>=3.11
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
33.3 KiB
Release history
7 releases with files
Median release cadence
3 days

bayesian-dpddm dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.26.4
  2. torch >=2.5.1
  3. torchvision >=0.20.1
  4. vbll >=0.2.6
  5. tqdm >=4.66.5
  6. matplotlib >=3.10.0
  7. pillow >=11.0.0
  8. wandb >=0.19.6
  9. hydra-core >=1.3.2
  10. wilds >=2.0.0
  11. twine
  12. build

Compatibility and release files

bayesian-dpddm publishes 1 wheel and 1 source archive for version 1.0.6. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .