jac2130/bayesian-belief-networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
takes files listing speakers and tuples of the form "cause \ relation \ effect" and creates a dictionary of causal models, where the keys are the speakers' names and the values are directed, labeled graphs.
This repository is cataloged as part of our automated global GitHub synchronization. Full telemetry, velocity snapshots, and code summaries are scheduled for continuous enrichment.
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
Players try to explain the workings of some more or less complex dynamic system
A fork of OpenBayes including the NumPy Patch
Measures of Cognitive Diversity and Cognitive Distance are calculated from Bayes Nets.