Model Utilization

BayesiaLab provides operational workflows that turn Bayesian networks into interactive and programmatic decision-support systems.

Adaptive Questionnaire

• The Adaptive Questionnaire selects the next best evidence to collect, given what is already known.
• It balances expected information gain on a Target Node against evidence acquisition cost.
• In clinical settings, this supports efficient escalation from low-cost tests to high-cost diagnostics.

WebSimulator

• BayesiaLab WebSimulator publishes interactive models and Adaptive Questionnaires to the web.
• Published models can be shared privately with clients or made accessible to broader audiences.

Batch Inference and Code Export

• Batch Inference supports automated scoring across large datasets.
• BayesiaLab’s optional Code Export Module can generate static model code for R, SAS, PHP, VBA, Python, and JavaScript.

Bayesia Engine API

• The Bayesia Engine API exposes key capabilities outside the graphical interface.
• The Modeling Engine supports network construction and editing.
• The Inference Engine supports automated and real-time inference workflows.
• The Learning Engine provides programmatic access to discretization and learning algorithms.
• APIs are delivered as Java class libraries (JAR files) for software integration.