A Python library for performing calculations in the Dempster-Shafer theory of evidence.
Features: Support for normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related to the generalized Bayesian theorem Measures of uncertainty Methods for constructing belief functions from data
Both Python 2.7 and Python 3.x are supported.
See examples.py for how to use it.
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.