GitHub - chacalnoir/DSNetwork: Implementation of a Dempster-Shafer network that learns/updates the joint conditional belief matrices from node observations

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Implementation of a Dempster-Shafer network that learns/updates the joint conditional belief matrices from node observations

GPL-3.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
combinationRulesExtensions		combinationRulesExtensions
metrics		metrics
network		network
test		test
.gitignore		.gitignore
COPYING		COPYING
README		README
requirements.txt		requirements.txt
setup.py		setup.py

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This is an implementation of a Dempster-Shafer network with extensions for learning/updating the joint conditional belief matrices based on evidence observations at the nodes.

network/DSNetwork.py contains the primary Dempster-Shafer network code.
network/NetworkGenerator.py contains several test network to demonstrate how to create and use the code as well as test the functionality.
metrics contains both metrics analysis tools and plotting tools designed to facilitate understanding of the data contained within the network as well as the decisions that the network makes.