breeze.stats.distributions

Gaussian

object Gaussian extends ExponentialFamily[Gaussian, Double] with Serializable

Linear Supertypes
Serializable, Serializable, ExponentialFamily[Gaussian, Double], AnyRef, Any
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  1. Gaussian
  2. Serializable
  3. Serializable
  4. ExponentialFamily
  5. AnyRef
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Type Members

  1. type Parameter = (Double, Double)

    Definition Classes
    Gaussian → ExponentialFamily

  2. final case class SufficientStatistic(n: Double, mean: Double, M2: Double) extends distributions.SufficientStatistic[SufficientStatistic] with Product with Serializable

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 clone(): AnyRef

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

  8. def distribution(p: (Double, Double)): Gaussian

    Definition Classes
    Gaussian → ExponentialFamily

  9. val emptySufficientStatistic: SufficientStatistic

    Definition Classes
    Gaussian → ExponentialFamily

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

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  16. def likelihoodFunction(stats: SufficientStatistic): DiffFunction[(Double, Double)]

    Definition Classes
    Gaussian → ExponentialFamily

  17. def mle(stats: SufficientStatistic): (Double, Double)

    Definition Classes
    Gaussian → ExponentialFamily

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

    Definition Classes
    AnyRef

  19. final def notify(): Unit

    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  21. def sufficientStatisticFor(t: Double): SufficientStatistic

    Definition Classes
    Gaussian → ExponentialFamily

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

    Definition Classes
    AnyRef

  23. def toString(): String

    Definition Classes
    AnyRef → Any

  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 Serializable

Inherited from Serializable

Inherited from ExponentialFamily[Gaussian, Double]

Inherited from AnyRef

Inherited from Any

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