Factual package intelligence from PyPI

lwMCMC 1.0 package intelligence

A parameter space sampling class for lightweight Bayesian inference. Running on a NumPy-based implementation of the Metropolis-Hastings algorithm.

pip install lwmcmc

Current version
1.0
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.4 KiB
Release history
3 releases with files
Median release cadence
96 days

lwMCMC dependencies

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

  1. numpy
  2. matplotlib
  3. pymc3

Compatibility and release files

lwMCMC publishes 1 wheel and 1 source archive for version 1.0. Wheel platform tags: any.

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 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .