Name Image Description

Query explorer This walkthrough demonstrates building a simple Bayesian network, and calculating some queries.

Mixture model This walkthrough demonstrates building a mixture model of {X,Y} position data.

Time series prediction This walkthrough demonstrates learning a time series model (Dynamic Bayesian network) and making predictions.

  This tutorial shows how to use the Bayes Server libraries (API) to compile and run one of the help samples.

Time series prediction This walkthrough demonstrates using a Bayesian network for classification. The tutorial demonstrates how to perform batch queries and generate a confusion matrix.

Anomaly detection This walkthrough demonstrates using a Bayesian network for anomaly detection, i.e. detecting data that is unusual or is indicative of a faulty system.

Missing data This walkthrough demonstrates learning a Bayesian network with missing data, performing predictions with missing data, and filling in missing data.

In this walkthrough we will build a model from data, adding both nodes and links, and then learning the parameters.

In this walkthrough we use a comparison query to discover insight from a network.

  This interactive demo models the well known Iris data set with a Mixture Model.