dk.bayes.clustergraph

Cluster

Related Docs: object Cluster | package clustergraph

class Cluster extends AnyRef

import dk.bayes.clustergraph.Edge Represents cluster in a cluster graph.

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. Cluster
  2. AnyRef
  3. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new Cluster(id: Int, typeId: Int, factor: Factor)

    id

    Unique cluster id

    typeId

    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.

    factor

    Initial cluster potentials

Value Members

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

    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef → Any

  4. def addEdge(edge: Edge): Unit

  5. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  6. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  11. def getEdges(): Seq[Edge]

  12. def getFactor(): Factor

  13. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  14. val id: Int

    Unique cluster id

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  17. final def notify(): Unit

    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  19. def resetMessages(): Unit

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

    Definition Classes
    AnyRef

  21. def toString(): String

    Definition Classes
    AnyRef → Any

  22. val typeId: Int

    Unique id of a cluster type.

    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.

  23. def updateFactor(newFactor: Factor): Unit

  24. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnyRef

Inherited from Any

Ungrouped