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Learning center

Welcome to the Bayes Server learning center.

This is the central repository for all documentation about the Bayes Server User interface, as well as articles on Bayesian networks.

Our advanced Bayesian network software, used by well known companies and research institutions worldwide enables Reasoning & Diagnostics, Evidence Optimization, Decision automation (prescriptive analytics), Anomaly detection, Automated insight (descriptive analytics), Time series modeling, Causal AI, Prediction and more.

User interface​

The learning center includes help for the Bayes Server User interface (shown below).

Bayes Server User Interface

info

See Getting Started for more information on how to build, query and analyze with Bayesian networks.

Code center​

Please visit our Code center for examples of how to use the Bayes Server API from C#, Java, Python, R, Matlab, Excel functions & Apache Spark.

Bayes Server Code Center

.NET API​

Bayes Server includes a sophisticated .NET API. The API has no dependencies (other than the .NET runtime) making it simple to reference and deploy.

Please visit our .NET API documentation for information on all the classes and function available in the .NET version of the Bayes Server API.

Bayes Server .NET API docs

Java API​

Bayes Server includes a sophisticated Java API. The API has no dependencies (other than the Java runtime) making it simple to reference and deploy.

Please visit our Java API documentation for information on all the classes and function available in the Java version of the Bayes Server API.

Bayes Server Java API docs

Other languages​

In addition to the .NET and Java APIs, Bayes Server can be called from Python, R, Matlab, used from Excel functions and Apache Spark. For examples, please visit our Code center.