dk.bayes.learn.em.GenericEMLearn

SufficientStats

case class SufficientStats(clusterBeliefsByTypeId: Seq[(Int, Factor)], logLikelihood: Double) extends Product with Serializable

Represents sufficient statistics produced by E-step of EM algorithm.

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Instance Constructors

  1. new SufficientStats(clusterBeliefsByTypeId: Seq[(Int, Factor)], logLikelihood: Double)

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

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    Any

  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

  8. val clusterBeliefsByTypeId: Seq[(Int, Factor)]

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

    Definition Classes
    AnyRef

  10. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  13. val logLikelihood: Double

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

    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  18. final def wait(): Unit

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    AnyRef
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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Serializable

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Inherited from Product

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Inherited from AnyRef

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