Tools and usage
In this section, we will introduce two tools in Java that are very popular for probabilistic graph modeling.
OpenMarkov
OpenMarkov is a Java-based tool for PGMs and here is the description from www.openmarkov.org:
Note
OpenMarkov is a software tool for probabilistic graphical models (PGMs) developed by the Research Centre for Intelligent Decision-Support Systems of the UNED in Madrid, Spain.
It has been designed for: editing and evaluating several types of PGMs, such as Bayesian networks, influence diagrams, factored Markov models, and so on, learning Bayesian networks from data interactively, and cost-effectiveness analysis.
OpenMarkov is very good in performing interactive and automated learning from the data. It has capabilities to preprocess the data (discretization using frequency and value) and perform structure and parameter learning using a few search algorithms such as search-based Hill Climbing and score-based PC. OpenMarkov stores the models in a format known as pgmx...