breeze.stats.distributions.Gaussian

SufficientStatistic

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

n

running total of examples

mean

running mean

M2

running variance * n

Definition Classes
Gaussian → ExponentialFamily
Linear Supertypes
Serializable, Serializable, Product, Equals, distributions.SufficientStatistic[SufficientStatistic], AnyRef, Any
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  1. SufficientStatistic
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. SufficientStatistic
  7. AnyRef
  8. Any
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Instance Constructors

  1. new SufficientStatistic(n: Double, mean: Double, M2: Double)

    n

    running total of examples

    mean

    running mean

    M2

    running variance * n

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. def *(weight: Double): SufficientStatistic

    Definition Classes
    SufficientStatistic → SufficientStatistic

  5. def +(t: SufficientStatistic): SufficientStatistic

    Definition Classes
    SufficientStatistic → SufficientStatistic

  6. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  8. val M2: Double

    running variance * n

  9. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  10. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  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. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  15. val mean: Double

    running mean

  16. val n: Double

    running total of examples

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

    Definition Classes
    AnyRef

  18. final def notify(): Unit

    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  21. def variance: Double

  22. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from distributions.SufficientStatistic[SufficientStatistic]

Inherited from AnyRef

Inherited from Any

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