Factual package intelligence from PyPI

ctx-bandits-mcmc 1.0.1 package intelligence

Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown

pip install ctx-bandits-mcmc

Current version
1.0.1
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
115.3 KiB
Release history
2 releases with files
Median release cadence
0 days

ctx-bandits-mcmc dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0.0
  2. numpy >=1.20.0
  3. matplotlib >=3.0.0
  4. scipy >=1.10.0
  5. pandas >=1.0.0
  6. scikit-learn >=1.0.0
  7. tqdm >=4.60.0
  8. wandb >=0.12.0
  9. pytest >=7.0.0
  10. pydantic >=2.0.0
  11. PyYAML >=6.0.0

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ctx-bandits-mcmc publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .