dk.bayes.infer.gp.infercovparamsem.mStep

GenericDiffFunction

Related Doc: package mStep

case class GenericDiffFunction(fPosterior: MultivariateGaussian, calcFPriorVar: (Array[Double]) ⇒ Matrix, calcFPriorVarD: (Array[Double]) ⇒ Array[Matrix]) extends DiffFunction[DenseVector[Double]] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, DiffFunction[DenseVector[Double]], StochasticDiffFunction[DenseVector[Double]], (DenseVector[Double]) ⇒ Double, AnyRef, Any
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Inherited
  1. GenericDiffFunction
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. DiffFunction
  7. StochasticDiffFunction
  8. Function1
  9. AnyRef
  10. Any
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Instance Constructors

  1. new GenericDiffFunction(fPosterior: MultivariateGaussian, calcFPriorVar: (Array[Double]) ⇒ Matrix, calcFPriorVarD: (Array[Double]) ⇒ Array[Matrix])

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 andThen[A](g: (Double) ⇒ A): (DenseVector[Double]) ⇒ A

    Definition Classes
    Function1
    Annotations
    @unspecialized()

  5. final def apply(x: DenseVector[Double]): Double

    Definition Classes
    StochasticDiffFunction → Function1

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def cached(implicit copy: CanCopy[DenseVector[Double]]): DiffFunction[DenseVector[Double]]

    Definition Classes
    DiffFunction

  8. val calcFPriorVar: (Array[Double]) ⇒ Matrix

  9. val calcFPriorVarD: (Array[Double]) ⇒ Array[Matrix]

  10. def calculate(params: DenseVector[Double]): (Double, DenseVector[Double])

    Definition Classes
    GenericDiffFunction → StochasticDiffFunction

  11. def clone(): AnyRef

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

  12. def compose[A](g: (A) ⇒ DenseVector[Double]): (A) ⇒ Double

    Definition Classes
    Function1
    Annotations
    @unspecialized()

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

    Definition Classes
    AnyRef

  14. val fPosterior: MultivariateGaussian

  15. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  17. def gradientAt(x: DenseVector[Double]): DenseVector[Double]

    Definition Classes
    StochasticDiffFunction

  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  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. def throughLens[U](implicit l: Isomorphism[DenseVector[Double], U]): DiffFunction[U]

    Definition Classes
    DiffFunction → StochasticDiffFunction

  24. def toString(): String

    Definition Classes
    Function1 → AnyRef → Any

  25. def valueAt(x: DenseVector[Double]): Double

    Definition Classes
    StochasticDiffFunction

  26. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  28. 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 DiffFunction[DenseVector[Double]]

Inherited from StochasticDiffFunction[DenseVector[Double]]

Inherited from (DenseVector[Double]) ⇒ Double

Inherited from AnyRef

Inherited from Any

Ungrouped