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pgmpy: Probabilistic Graphical Models using Python

Published in Proceedings of the Python in Science Conferences • Jan 1, 2015
NobleIDNI7P68W70R86S20
Authors:
Ankur Ankan
,
Abinash Panda

Abstract

Probabilistic Graphical Models (PGM) is a technique of compactly representing a joint distribution by exploiting dependencies between the random variables. It also allows us to do inference on joint distributions in a computationally cheaper way than the traditional methods. PGMs are widely used in ...

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