Class/Object

com.twitter.algebird.statistics

GaussianDistribution

Related Docs: object GaussianDistribution | package statistics

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case class GaussianDistribution(mean: Double, sigma2: Double) extends Product with Serializable

mean

Mean

sigma2

Variance, where sqrt(sigma2) is the standard deviation aka Normal distribution

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Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. GaussianDistribution
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Instance Constructors

  1. new GaussianDistribution(mean: Double, sigma2: Double)

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    mean

    Mean

    sigma2

    Variance, where sqrt(sigma2) is the standard deviation aka Normal distribution

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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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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  7. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  8. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  9. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  10. val mean: Double

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    Mean

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

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    Definition Classes
    AnyRef
  12. final def notify(): Unit

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    Definition Classes
    AnyRef
  13. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  14. def sample(r: Random): Double

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  15. val sigma2: Double

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    Variance, where sqrt(sigma2) is the standard deviation aka Normal distribution

  16. def stddev: Double

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

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    Definition Classes
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  18. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

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