Factual package intelligence from PyPI

bayesian-feature-selection 0.1.0 package intelligence

Scalable Bayesian feature selection using horseshoe priors with NumPyro/JAX

pip install bayesian-feature-selection

Current version
0.1.0
Python requirement
>=3.11
License
MIT license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
47.8 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

bayesian-feature-selection dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. typer >=0.9.0
  2. rich >=13.0.0
  3. numpyro <0.16.0,>=0.15.0
  4. jax <0.5.0,>=0.4.20
  5. jaxlib <0.5.0,>=0.4.20
  6. arviz >=0.16.0
  7. pandas >=2.0.0
  8. numpy >=1.24.0
  9. matplotlib >=3.7.0
  10. seaborn >=0.12.0
  11. scikit-learn >=1.3.0
  12. pyyaml >=6.0

The compact report shows 12 of 19 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

bayesian-feature-selection publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .