dk.bayes.dsl.variable.gaussian.multivariate

MultivariateGaussian

Related Docs: object MultivariateGaussian | package multivariate

case class MultivariateGaussian(m: DenseVector[Double], v: DenseMatrix[Double]) extends Gaussian with MultivariateGaussianFactor with Product with Serializable

N(m,v)

Linear Supertypes
Serializable, Serializable, Product, Equals, MultivariateGaussianFactor, SingleFactor[DenseCanonicalGaussian], Gaussian, Variable, AnyRef, Any
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Inherited
  1. MultivariateGaussian
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. MultivariateGaussianFactor
  7. SingleFactor
  8. Gaussian
  9. Variable
  10. AnyRef
  11. Any
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Instance Constructors

  1. new MultivariateGaussian(m: DenseVector[Double], v: 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. def addChild(v: Variable): ListBuffer[Variable]

    Definition Classes
    Variable

  5. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  6. var children: ListBuffer[Variable]

    Implementation

    Implementation

    Definition Classes
    Variable

  7. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  9. def factorMsgDown(): DenseCanonicalGaussian

    Definition Classes
    MultivariateGaussianFactor → SingleFactor

  10. def finalize(): Unit

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

  11. def getAllVariables(): Seq[Variable]

    Returns all variables in the Bayesian Network

    Returns all variables in the Bayesian Network

    Definition Classes
    Variable

  12. def getChildren(): Seq[Variable]

    Definition Classes
    Variable

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

    Definition Classes
    AnyRef → Any

  14. def getParents(): Seq[Variable]

    Definitions

    Definitions

    Definition Classes
    MultivariateGaussian → Variable

  15. def hasChildren(): Boolean

    Definition Classes
    Variable

  16. def hasParents(): Boolean

    Definition Classes
    Variable

  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  18. val m: DenseVector[Double]

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

    Definition Classes
    AnyRef

  20. final def notify(): Unit

    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  23. val v: DenseMatrix[Double]

  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 Product

Inherited from Equals

Inherited from MultivariateGaussianFactor

Inherited from SingleFactor[DenseCanonicalGaussian]

Inherited from Gaussian

Inherited from Variable

Inherited from AnyRef

Inherited from Any

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