dk.bayes.dsl.variable.gaussian.multivariatelinear

MultivariateLinearGaussian

class MultivariateLinearGaussian extends Gaussian

y = A*x + b + gaussian_noise

Linear Supertypes
Gaussian, Variable, AnyRef, Any
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Inherited
  1. MultivariateLinearGaussian
  2. Gaussian
  3. Variable
  4. AnyRef
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Instance Constructors

  1. new MultivariateLinearGaussian(a: Matrix, x: MultivariateGaussian, b: Matrix, v: Matrix, yValue: Option[Matrix])

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. val a: Matrix

  7. def addChild(v: Variable): Unit

    Definition Classes
    Variable

  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  9. val b: Matrix

  10. var children: ListBuffer[Variable]

    Implementation

    Implementation

    Definition Classes
    Variable

  11. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  14. def finalize(): Unit

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

  15. def getAllVariables(): Seq[Variable]

    Returns all variables in the Bayesian Network

    Returns all variables in the Bayesian Network

    Definition Classes
    Variable

  16. def getChildren(): Seq[Variable]

    Definition Classes
    Variable

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

    Definition Classes
    AnyRef → Any

  18. def getParents(): Seq[Variable]

    Definitions

    Definitions

    Definition Classes
    MultivariateLinearGaussian → Variable

  19. def hasChildren(): Boolean

    Definition Classes
    Variable

  20. def hasParents(): Boolean

    Definition Classes
    Variable

  21. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  22. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  24. final def notify(): Unit

    Definition Classes
    AnyRef

  25. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  27. def toString(): String

    Definition Classes
    AnyRef → Any

  28. val v: Matrix

  29. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  32. val x: MultivariateGaussian

  33. val yValue: Option[Matrix]

Inherited from Gaussian

Inherited from Variable

Inherited from AnyRef

Inherited from Any

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