Metadata-Version: 1.1
Name: lwMCMC
Version: 1.0
Summary: A parameter space sampling class for lightweight Bayesian inference. Running on a NumPy-based implementation of the Metropolis-Hastings algorithm.
Home-page: https://github.com/daniel-furman/lwMCMC
Author: Daniel Ryan Furman
Author-email: dryanfurman@gmail.com
License: MIT
Description: See documentation at https://github.com/daniel-furman/lwMCMC
Keywords: bayesian-inference machine-learning statistical-modeling
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
