Bayesian networks are probabilistic graphical models consisting of nodes (typically representing features or variables) and edges, or directional arrows connecting nodes. The arrows specify the conditional dependencies posited in the model. The source node of an arrow is known as the parent and the destination node is known as the child. The structures in Bayesian networks are known as directed acyclic graphs (DAGs). A DAG is a graph such that following any arrow from a source node does not allow you to return to that node following the arrows in the graph.
- For more information about this node, see Bayes Net Overview.
- For more information about the visualizations for this node, see Bayes Net Visualizations.
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