The Bayesia Engine API for Network Learning includes all the modeling and inference capabilities of the Bayesia Engine API for Modeling and Inference.
Additionally, it enables you to programmatically access a subset of BayesiaLab’s Supervised and Unsupervised Learning algorithms for automatically generating Bayesian network models from data, such as:
Augmented Markov Blanket
Augmented Naive
EQ
Markov Blanket
Maximum Weight Spanning Tree
Naive
Parameter Estimation
SopLEQ
Taboo
Taboo Order
Tree-Augmented Naive
Please see the Pricing Guide for details on licensing options.
Please see the Bayesia Engine API Documentation for a complete description of all functions.