Factual package intelligence from PyPI

bayesbridge 0.2.6 package intelligence

Generates posterior samples under Bayesian sparse regression based on the bridge prior using the CG-accelerated Gibbs sampler of Nishimura et. al. (2018). The linear and logistic model are currently supported.

pip install bayesbridge

Current version
0.2.6
Python requirement
Not declared
License
MIT
Distribution type
Includes compiled wheel
Release files
2 (1 wheels, 1 source)
Download size
680.8 KiB
Release history
11 releases with files
Median release cadence
26 days

bayesbridge dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.19
  2. scipy

Compatibility and release files

bayesbridge publishes 1 wheel and 1 source archive for version 0.2.6. Wheel platform tags: macosx_10_15_x86_64.

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 11 releases 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 . The preceding dated release was .