Netica API has been designed to be easily extended in the future without changing what already exists. Many new features are currently under development, and will be incorporated into future versions. The API will continue to be extended for years to come. Has operations to build and modify networks in memory, as well as to save them to file and read them back. Can learn probabilistic relations from data.
Networks can learn from experience while they are being queried to do probabilistic inference.
Can solve influence diagrams which have multiple utility nodes and missing no-forgetting links. Can save individual cases to file, and manipulate files of cases. Has excellent documentation including example programs and detailed descriptions of each function. Supports disconnected links, which makes possible libraries of probabilistic relationships. Has a simple but powerful method for handling usage errors, which can generate very detailed error messages if desired.