Tutorials

Tutorial - First Bayesian Network

In this tutorial we show how to create a small bayesian network. The code of this example can be found in ./Examples/WaterSprinkler.py

Inference in the WaterSprinkler Bayesian Network

Here we will learn how to perform inference into a simply bayesian network using the JoinTree (aka Junction Tree) algorithm and the MCMC Sampling Engine. The code of this example can be found in ./Examples/EasyInference.py

Installation

How to install OpenBayes

Learning the parameters of a BN from sample data

How to learn the parameters of a BN with known structure from a set of observations. The code of this example can be found in ./Examples/Learning.py

Learning the parameters of a BN from incomplete data

How to learn the parameters of a BN with known structure from a set of incomplete observations. To use this algorithm, please download the learning.zip file of the development section. That file contains the Numarray and excellreader packages that are needed to use my algorithms. The version of OpenBayes that is used in that file is not the latest up to date, however, my algorithms works with that version, and not necessarily with another version.

Learning the parameters and the structure of a BN from incomplete data

How to learn the structure of a BN with known parameters from a set of observations. To use this algorithm, please download the learning.zip file of the development section. That file contains the Numarray and excellreader packages that are needed to use my algorithms. The version of OpenBayes that is used in that file is not the latest up to date, however, my algorithms works with that version, and not necessarily with another version.