LoopyBP

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

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3. final def ==(arg0: Any): Boolean

   

   Definition Classes

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4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. def calibrate(iterNum: (Int) ⇒ Unit = (iterNum: Int) => {}, messageOrder: MessageOrder = ForwardBackwardMsgOrder()): 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

   Definition Classes

   LoopyBP → ClusterGraphInfer

6. def calibrateWithEvidence(evidence: Seq[(Int, Int)], iterNum: (Int) ⇒ Unit = (iterNum: Int) => {}): 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.

   Definition Classes

   LoopyBP → ClusterGraphInfer

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

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   Annotations

   @throws( ... )

8. def clusterBelief(clusterId: Int): Factor

   

   Returns cluster belief.

   Returns cluster belief.

   clusterId

   Unique cluster id

   Definition Classes

   LoopyBP → ClusterGraphInfer

9. val clusterGraph: ClusterGraph

   

10. final def eq(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

11. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

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    Annotations

    @throws( classOf[java.lang.Throwable] )

12. final def getClass(): Class[_]

    

    Definition Classes

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13. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

14. 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]

    Definition Classes

    LoopyBP → ClusterGraphInfer

15. def marginal(variableId: Int): Factor

    

    Returns marginal factor for a variable in a cluster graph.

    Returns marginal factor for a variable in a cluster graph.

    Definition Classes

    LoopyBP → ClusterGraphInfer

16. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

17. final def notify(): Unit

    

    Definition Classes

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18. final def notifyAll(): Unit

    

    Definition Classes

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19. 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]

    Definition Classes

    LoopyBP → ClusterGraphInfer

20. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

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21. val threshold: Double

    

    Maximum absolute difference between old and new corresponding messages in a cluster graph, before calibration is completed

22. final def wait(): Unit

    

    Definition Classes

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    Annotations

    @throws( ... )

23. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

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    Annotations

    @throws( ... )

24. final def wait(arg0: Long): Unit

    

    Definition Classes

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    Annotations

    @throws( ... )