Class

io.github.mandar2812.dynaml.kernels

AdditiveCovariance

Related Doc: package kernels

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class AdditiveCovariance[Index] extends CompositeCovariance[Index]

A kernel formed by addition of two kernels k(.,.) = k1(.,.) + k2(.,.)

Linear Supertypes
CompositeCovariance[Index], LocalSVMKernel[Index], LocalScalarKernel[Index], CovarianceFunction[Index, Double, DenseMatrix[Double]], Kernel[Index, Double], Serializable, Serializable, AnyRef, Any
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Inherited
  1. AdditiveCovariance
  2. CompositeCovariance
  3. LocalSVMKernel
  4. LocalScalarKernel
  5. CovarianceFunction
  6. Kernel
  7. Serializable
  8. Serializable
  9. AnyRef
  10. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new AdditiveCovariance(firstKernel: LocalScalarKernel[Index], otherKernel: LocalScalarKernel[Index])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. def *(c: Double): LocalScalarKernel[Index]

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    Returns the kernel multiplied by a positive constant: k_new = k*c

    Returns the kernel multiplied by a positive constant: k_new = k*c

    Definition Classes
    LocalScalarKernel
  4. def *[T <: LocalScalarKernel[Index]](otherKernel: T)(implicit ev: ClassTag[Index]): CompositeCovariance[Index]

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    Create composite kernel k = k1 * k2

    Create composite kernel k = k1 * k2

    otherKernel

    The kernel to multiply to the current one.

    returns

    The kernel k defined above.

    Definition Classes
    LocalScalarKernel
  5. def +[T <: LocalScalarKernel[Index]](otherKernel: T)(implicit ev: ClassTag[Index]): CompositeCovariance[Index]

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    Create composite kernel k = k1 + k2

    Create composite kernel k = k1 + k2

    param otherKernel The kernel to add to the current one. return The kernel k defined above.

    Definition Classes
    LocalScalarKernel
  6. def :*[T1](otherKernel: LocalScalarKernel[T1]): KroneckerProductKernel[Index, T1]

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    Construct the kronecker product kernel

    Construct the kronecker product kernel

    Definition Classes
    LocalScalarKernel
  7. def :+[T1](otherKernel: LocalScalarKernel[T1]): CompositeCovariance[(Index, T1)]

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    Definition Classes
    LocalScalarKernel
  8. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  9. def >[K <: GenericRBFKernel[Index]](otherKernel: K): CompositeCovariance[Index]

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    Construct a 2 layer kernel K = k1 > rbf

    Construct a 2 layer kernel K = k1 > rbf

    Definition Classes
    LocalScalarKernel
  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  11. def asPipe: DataPipe[Map[String, Double], LocalScalarKernel[Index]]

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    Get a pipeline which when given a particular configuration of hyper-parameters returns this kernel function set with that configuration.

    Get a pipeline which when given a particular configuration of hyper-parameters returns this kernel function set with that configuration.

    Definition Classes
    LocalScalarKernel
  12. def block(h: String*): Unit

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    Definition Classes
    AdditiveCovarianceCovarianceFunction
  13. def block_all_hyper_parameters: Unit

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    Definition Classes
    CovarianceFunction
  14. var blocked_hyper_parameters: List[String]

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    Definition Classes
    CovarianceFunction
  15. def buildBlockedCrossKernelMatrix[S <: Seq[Index]](dataset1: S, dataset2: S): PartitionedMatrix

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    Definition Classes
    LocalScalarKernel
  16. def buildBlockedKernelMatrix[S <: Seq[Index]](mappedData: S, length: Long): PartitionedPSDMatrix

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    Definition Classes
    LocalScalarKernel
  17. def buildCrossKernelMatrix[S <: Seq[Index]](dataset1: S, dataset2: S): DenseMatrix[Double]

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  18. def buildKernelMatrix[S <: Seq[Index]](mappedData: S, length: Int): KernelMatrix[DenseMatrix[Double]]

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  19. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. var colBlocking: Int

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    Definition Classes
    LocalScalarKernel
  21. def effective_hyper_parameters: List[String]

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    Definition Classes
    CovarianceFunction
  22. def effective_state: Map[String, Double]

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    Definition Classes
    CovarianceFunction
  23. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  24. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  25. def evaluate(x: Index, y: Index): Double

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    Definition Classes
    CovarianceFunctionKernel
  26. def evaluateAt(config: Map[String, Double])(x: Index, y: Index): Double

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  27. val fID: String

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  28. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  29. val firstKernel: LocalScalarKernel[Index]

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

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    Definition Classes
    AnyRef → Any
  31. def getKernelHyp(s: Seq[String]): (Seq[String], Seq[String])

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    Attributes
    protected
  32. def gradient(x: Index, y: Index): Map[String, Double]

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    Definition Classes
    CovarianceFunction
  33. def gradientAt(config: Map[String, Double])(x: Index, y: Index): Map[String, Double]

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  34. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  35. val hyper_parameters: List[String]

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    Definition Classes
    AdditiveCovarianceCovarianceFunction
  36. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  37. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  38. final def notify(): Unit

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    Definition Classes
    AnyRef
  39. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  40. val otherKernel: LocalScalarKernel[Index]

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  41. var rowBlocking: Int

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    Definition Classes
    LocalScalarKernel
  42. val sID: String

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  43. def setBlockSizes(s: (Int, Int)): Unit

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    Definition Classes
    LocalScalarKernel
  44. def setHyperParameters(h: Map[String, Double]): AdditiveCovariance.this.type

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    Definition Classes
    AdditiveCovarianceCovarianceFunction
  45. var state: Map[String, Double]

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    Definition Classes
    CovarianceFunction
  46. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  47. def toString(): String

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    Definition Classes
    AnyRef → Any
  48. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  49. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  50. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from CompositeCovariance[Index]

Inherited from LocalSVMKernel[Index]

Inherited from LocalScalarKernel[Index]

Inherited from CovarianceFunction[Index, Double, DenseMatrix[Double]]

Inherited from Kernel[Index, Double]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped