What are the different network structures that can be learned with the bnet action?

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Réponse

The bnet action can learn several network structures, including GENERAL (or GN), Markov Blanket (MB), NAIVE, Parent-Child (PC), and Tree-Augmented Naive (TAN) Bayesian networks.
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bnet

bayesianNetClassifier

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Other questions about bnet
How does the bnet action handle missing values in interval variables? What options are available for handling missing values in nominal variables? What methods are available for independence tests in the bnet action? What is the function of the 'maxParents' parameter? How can the model be saved for future scoring?
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