Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Dempster-Shafer theory library

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

This version
History Node

0.7

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

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

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting