A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is
PROC. OF THE 14th PYTHON IN SCIENCE CONF
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 computation-ally cheaper way than the traditional methods. PGMs are widely used in the field of speech recognition, information extraction, image segmentation, modelling gene regulatory networks. pgmpy [pgmpy] is a python library for working with graphical models. It allows thefatcat:xxtomgbo3bdtpabamkbq5u44au