Packages

case class MultivariateNormalDistribution(mean: DenseVector[Double], cov: DenseMatrix[Double]) extends MultivariateNormalDistributionLike[DenseVector[Double], DenseMatrix[Double]] with Product with Serializable

Linear Supertypes
Serializable, Product, Equals, MultivariateNormalDistributionLike[DenseVector[Double], DenseMatrix[Double]], AnyRef, Any
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Inherited
  1. MultivariateNormalDistribution
  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 MultivariateNormalDistribution(mean: DenseVector[Double], cov: DenseMatrix[Double])

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. def conditional(observations: IndexedSeq[(Int, Double)]): MultivariateNormalDistribution
  7. val cov: DenseMatrix[Double]
    Definition Classes
    MultivariateNormalDistribution → MultivariateNormalDistributionLike
  8. val dim: Int
    Definition Classes
    MultivariateNormalDistribution → MultivariateNormalDistributionLike
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  11. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. def logpdf(x: DenseVector[Double]): Double
    Definition Classes
    MultivariateNormalDistribution → MultivariateNormalDistributionLike
  14. def mahalanobisDistance(x: DenseVector[Double]): Double
    Definition Classes
    MultivariateNormalDistribution → MultivariateNormalDistributionLike
  15. def marginal(subspace: IndexedSeq[Int]): MultivariateNormalDistribution
  16. val mean: DenseVector[Double]
    Definition Classes
    MultivariateNormalDistribution → MultivariateNormalDistributionLike
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. def pdf(x: DenseVector[Double]): Double
    Definition Classes
    MultivariateNormalDistribution → MultivariateNormalDistributionLike
  21. def principalComponents: Seq[(DenseVector[Double], Double)]

    Returns a seq with the principal components and associated variance

    Returns a seq with the principal components and associated variance

    Definition Classes
    MultivariateNormalDistribution → MultivariateNormalDistributionLike
  22. def productElementNames: Iterator[String]
    Definition Classes
    Product
  23. def sample()(implicit rand: Random): DenseVector[Double]
    Definition Classes
    MultivariateNormalDistribution → MultivariateNormalDistributionLike
  24. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  26. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  27. 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[DenseVector[Double], DenseMatrix[Double]]

Inherited from AnyRef

Inherited from Any

Ungrouped