Packages

case class NDimensionalNormalDistribution[D](mean: EuclideanVector[D], cov: SquareMatrix[D])(implicit evidence$2: NDSpace[D]) extends MultivariateNormalDistributionLike[EuclideanVector[D], SquareMatrix[D]] with Product with Serializable

Annotations
@deprecated
Deprecated

(Since version 0.13.0) Please use MultivariateNormalDistribution instead. This class wil be removed in future versions.

Linear Supertypes
Serializable, Product, Equals, MultivariateNormalDistributionLike[EuclideanVector[D], SquareMatrix[D]], AnyRef, Any
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  2. By Inheritance
Inherited
  1. NDimensionalNormalDistribution
  2. Serializable
  3. Product
  4. Equals
  5. MultivariateNormalDistributionLike
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new NDimensionalNormalDistribution(mean: EuclideanVector[D], cov: SquareMatrix[D])(implicit arg0: NDSpace[D])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. val cov: SquareMatrix[D]
    Definition Classes
    NDimensionalNormalDistribution → MultivariateNormalDistributionLike
  7. def dim: Int
    Definition Classes
    NDimensionalNormalDistribution → MultivariateNormalDistributionLike
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  10. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. def logpdf(x: EuclideanVector[D]): Double
    Definition Classes
    NDimensionalNormalDistribution → MultivariateNormalDistributionLike
  13. def mahalanobisDistance(x: EuclideanVector[D]): Double
    Definition Classes
    NDimensionalNormalDistribution → MultivariateNormalDistributionLike
  14. val mean: EuclideanVector[D]
    Definition Classes
    NDimensionalNormalDistribution → MultivariateNormalDistributionLike
  15. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. def pdf(x: EuclideanVector[D]): Double
    Definition Classes
    NDimensionalNormalDistribution → MultivariateNormalDistributionLike
  19. def principalComponents: Seq[(EuclideanVector[D], Double)]
    Definition Classes
    NDimensionalNormalDistribution → MultivariateNormalDistributionLike
  20. def productElementNames: Iterator[String]
    Definition Classes
    Product
  21. def sample()(implicit rand: Random): EuclideanVector[D]
    Definition Classes
    NDimensionalNormalDistribution → MultivariateNormalDistributionLike
  22. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  23. def toMultivariateNormalDistribution: MultivariateNormalDistribution
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from MultivariateNormalDistributionLike[EuclideanVector[D], SquareMatrix[D]]

Inherited from AnyRef

Inherited from Any

Ungrouped