Class

breeze.stats.distributions.Multinomial

ExpFam

Related Doc: package Multinomial

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class ExpFam[T, I] extends ExponentialFamily[Multinomial[T, I], I] with HasConjugatePrior[Multinomial[T, I], I]

Linear Supertypes
HasConjugatePrior[Multinomial[T, I], I], ExponentialFamily[Multinomial[T, I], I], AnyRef, Any
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Inherited
  1. ExpFam
  2. HasConjugatePrior
  3. ExponentialFamily
  4. AnyRef
  5. Any
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Visibility
  1. Public
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Instance Constructors

  1. new ExpFam(exemplar: T)(implicit space: MutableFiniteCoordinateField[T, I, Double])

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Type Members

  1. type ConjugatePrior = Dirichlet[T, I]

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    Definition Classes
    ExpFam → HasConjugatePrior

  2. type Parameter = T

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    Definition Classes
    ExpFam → ExponentialFamily

  3. case class SufficientStatistic(counts: T) extends distributions.SufficientStatistic[SufficientStatistic] with Product with Serializable

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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

  6. val conjugateFamily: Dirichlet.ExpFam[T, I]

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    Definition Classes
    ExpFam → HasConjugatePrior

  7. def distribution(p: Parameter): Multinomial[T, I]

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    Definition Classes
    ExpFam → ExponentialFamily

  8. def emptySufficientStatistic: SufficientStatistic

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    Definition Classes
    ExpFam → ExponentialFamily

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  13. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  15. def likelihoodFunction(stats: SufficientStatistic): DiffFunction[T]

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    Definition Classes
    ExpFam → ExponentialFamily

  16. def mle(stats: SufficientStatistic): T

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    Definition Classes
    ExpFam → ExponentialFamily

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

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    Definition Classes
    AnyRef

  18. final def notify(): Unit

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    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  20. def posterior(prior: Dirichlet.ExpFam.Parameter, evidence: TraversableOnce[I]): T

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    Gives a new parameter for this conjugate prior after observing the evidence.

    Gives a new parameter for this conjugate prior after observing the evidence. See Dirichlet for an example.

    Definition Classes
    ExpFam → HasConjugatePrior

  21. def predictive(parameter: Dirichlet.ExpFam.Parameter): Polya[Dirichlet.ExpFam.Parameter, I]

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    Returns a distribtution over T's after integrating out the intermediate distributions.

    Returns a distribtution over T's after integrating out the intermediate distributions.

    Definition Classes
    ExpFam → HasConjugatePrior

  22. def sufficientStatisticFor(t: I): SufficientStatistic

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    Definition Classes
    ExpFam → ExponentialFamily

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

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    Definition Classes
    AnyRef

  24. def toString(): String

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    Definition Classes
    AnyRef → Any

  25. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from HasConjugatePrior[Multinomial[T, I], I]

Inherited from ExponentialFamily[Multinomial[T, I], I]

Inherited from AnyRef

Inherited from Any

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