Tools | Multi-Quadrant Analysis
New Feature: Structural Learning Algorithms
Prior to release 5.4, Multi-Quadrant Analysis was limited to estimating the parameters of the current network, i.e. estimating marginal and conditional probability tables, for the subsets of data defined by the Breakout Variable. As a result, the structure of all networks would be the same.
Now, you can run any Unsupervised Structural learning algorithms, or any Supervised learning algorithms, for each subset of your data.