dk.bayes.clustergraph.infer

ClusterGraphInfer

Related Doc: package infer

trait ClusterGraphInfer extends AnyRef

Provides inference functionality in a cluster graph.

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  1. abstract def calibrate(iterNum: (Int) ⇒ Unit, messageOrder: MessageOrder): Unit

    Calibrates cluster graph.

    Calibrates cluster graph.

    iterNum

    Progress monitoring. It is called by this method at the beginning of every iteration

    messageOrder

    Order of clusters in which messages are sent for a single iteration of Belief Propagation

  2. abstract def calibrateWithEvidence(evidence: Seq[(Int, Int)], iterNum: (Int) ⇒ Unit): Double

    Applies evidence and calibrates cluster graph.

    Applies evidence and calibrates cluster graph.

    evidence

    Sequence of Tuple2[variableId, variable value]

    iterNum

    Progress monitoring. It is called by this method at the beginning of every iteration

    returns

    Log likelihood of evidence in a cluster graph.

  3. abstract def clusterBelief(clusterId: Int): Factor

    Returns cluster belief.

    Returns cluster belief.

    clusterId

    Unique cluster id

  4. abstract def logLikelihood(assignment: Array[(Int, Int)]): Double

    Returns log likelihood of assignment for all variables in a cluster graph.

    Returns log likelihood of assignment for all variables in a cluster graph.

    assignment

    Array of Tuple2[variableId, variable value]

  5. abstract def marginal(variableId: Int): Factor

    Returns marginal factor for a variable in a cluster graph.

  6. abstract def setEvidence(evidence: (Int, Int)): Unit

    Sets evidence in a cluster graph.

    Sets evidence in a cluster graph. Once evidence is set in a cluster graph, it cannot be reverted.

    evidence

    Tuple2[variableId, variable value]

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