edu.ub.guillermoblascojimenez.gmx.impl

ClusterGraphImpl

class ClusterGraphImpl extends ClusterGraph

Implements a cluster graph structure where vertex are set of variables and a factor with this scope and edges the intersection of connected vertex.

Ref: Probabilistic Graphical Models, Daphne Koller and Nir Friedman, Definition 10.1 (page 346)

Linear Supertypes
ClusterGraph, Serializable, Serializable, AnyRef, Any
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  1. ClusterGraphImpl
  2. ClusterGraph
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Instance Constructors

  1. new ClusterGraphImpl()

  2. new ClusterGraphImpl(graph: Graph[Factor, Set[Variable]])

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def calibrated(maxIterations: Int = 10, epsilon: Double = 0.1): ClusterGraph

    Calibrates the marginals of the graph

    Calibrates the marginals of the graph

    Definition Classes
    ClusterGraphImplClusterGraph
  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def countClusters(): Long

    Counts the number of clusters in the graph

    Counts the number of clusters in the graph

    Definition Classes
    ClusterGraphImplClusterGraph
  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  12. def factors(): Set[Factor]

    Factors contained in the graph

    Factors contained in the graph

    Definition Classes
    ClusterGraphImplClusterGraph
  13. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  15. val graph: Graph[Factor, Set[Variable]]

    Underlying raw graph

    Underlying raw graph

    Definition Classes
    ClusterGraphImplClusterGraph
  16. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  18. def map(maxIterations: Int = 10, epsilon: Double = 0.1): ClusterGraph

    Calibrates MAPs of the graph

    Calibrates MAPs of the graph

    Definition Classes
    ClusterGraphImplClusterGraph
  19. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  20. def normalized(): ClusterGraph

    Normalizes the cluster grpah factors

    Normalizes the cluster grpah factors

    Definition Classes
    ClusterGraphImplClusterGraph
  21. final def notify(): Unit

    Definition Classes
    AnyRef
  22. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  23. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  24. def toString(): String

    Definition Classes
    AnyRef → Any
  25. def variables(): Set[Variable]

    Complete set of variables of the graph

    Complete set of variables of the graph

    Definition Classes
    ClusterGraphImplClusterGraph
  26. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ClusterGraph

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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