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Learns different Bayesian network structures, including naive, tree-augmented naive (TAN), Bayesian network-augmented naive (BAN), parent-child Bayesian networks and Markov blanket. Performs efficient variable selection through independence tests. Selects the best model automatically from specified parameters. Generates SAS code or an analytics ...
How to Create a Bayesian Network. To create a Bayesian network, complete the following steps: From the left pane, click the icon to select an object. Drag and drop the icon onto the canvas to create a Bayesian network. Click in the right pane. Specify a single category variable as the Response variable
Create a Bayesian Network. To create a Bayesian network, complete the following steps: In the left pane, click to select an object. Drag the icon onto the canvas to create a Bayesian network. Click in the right pane. Specify a single category variable as the Response variable.
Parameters for Reading Input Tables; Parameter. Subparameter. Description. cliques. data. specifies the table of the factors and the cliques that form the clique tree obtained by
SAS® Visual Data Mining and Machine Learning 8.3: Reference Help documentation.sas.com SAS Help Center: Bayesian Network Properties Bayesian Network Properties
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