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Project Description

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.

Release History

Release History

0.7

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
py_dempster_shafer-0.7.tar.gz (12.8 kB) Copy SHA256 Checksum SHA256 Source Oct 10, 2014

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