Mixture model

This example is a simple Gaussian mixture model represented as a Bayesian network. It was learned on the well known Iris data set (R.A. Fisher 1936) often used in Machine learning.

This hybrid model containing both discrete and continuous variables features both a Latent variable and a Multi-variable node.

The Bayesian network below will update when you click the check boxes to set evidence. The online viewer below has a very small subset of the features of the full User Interface and APIs.

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