dk.bayes.model.clustergraph

ClusterGraph

trait ClusterGraph extends AnyRef

Represents Bayesian Network (or more generally Probabilistic Graphical Model) as a cluster graph. 'Daphne Koller, Nir Friedman. Probabilistic Graphical Models, Principles and Techniques, 2009'

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GenericClusterGraph
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  1. abstract def addCluster(clusterId: Int, factor: Factor, clusterTypeId: Option[Int] = None): Unit

    Adds cluster to this cluster graph.

    Adds cluster to this cluster graph.

    clusterId

    Unique cluster id

    factor

    Initial cluster potentials

    clusterTypeId

    Unique id of a cluster type. Clusters of the same cluster type usually share the same cluster initial potentials. TypeId can be used for learning parameters in dynamic bayesian networks, with multiple prior, transition and emission parameters.

  2. abstract def addEdge(clusterId1: Int, clusterId2: Int): Unit

    Adds edge between clusters in this cluster graph.

  3. abstract def addEdges(firstEdge: (Int, Int), nextEdges: (Int, Int)*): Unit

    Adds edges between clusters in this cluster graph.

    Adds edges between clusters in this cluster graph.

    firstEdge

    Tuple2[clusterId, clusterId2]

    nextEdges

    Tuple2[clusterId, clusterId2]

  4. abstract def getCluster(clusterId: Int): Cluster

    Returns cluster for a cluster id.

  5. abstract def getClusters(): Seq[Cluster]

    Returns all clusters in this cluster graph.

  6. abstract def getVariables(): Seq[Var]

    Returns unique variables in this cluster graph.

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