Factual package intelligence from PyPI
Python library for solving bayesian regression models through a Monte Carlo Markov chain sampling
pip install baypy
PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.
!=3.9.1,>=3.6!=2.4.0,>=1.20>=2.0!=1.11.0,!=1.14.0rc1,>=1.6baypy publishes 1 wheel and 1 source archive for version 1.5.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
PyPI lists 14 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 .