SECovFunc

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def *(c: Double): LocalScalarKernel[Double]

   

   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[Double]](otherKernel: T)(implicit ev: ClassTag[Double]): CompositeCovariance[Double]

   

   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[Double]](otherKernel: T)(implicit ev: ClassTag[Double]): CompositeCovariance[Double]

   

   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[Double, T1]

   

   Construct the kronecker product kernel

   Construct the kronecker product kernel

   Definition Classes

   LocalScalarKernel

7. def :+[T1](otherKernel: LocalScalarKernel[T1]): CompositeCovariance[(Double, T1)]

   

   Definition Classes

   LocalScalarKernel

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

   

   Definition Classes

   AnyRef → Any

9. def >[K <: GenericRBFKernel[Double]](otherKernel: K): CompositeCovariance[Double]

   

   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

    

    Definition Classes

    Any

11. def asPipe: DataPipe[Map[String, Double], LocalScalarKernel[Double]]

    

    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

    

    Definition Classes

    CovarianceFunction

13. def block_all_hyper_parameters: Unit

    

    Definition Classes

    CovarianceFunction

14. var blocked_hyper_parameters: List[String]

    

    Definition Classes

    CovarianceFunction

15. def buildBlockedCrossKernelMatrix[S <: Seq[Double]](dataset1: S, dataset2: S): PartitionedMatrix

    

    Definition Classes

    LocalScalarKernel

16. def buildBlockedKernelMatrix[S <: Seq[Double]](mappedData: S, length: Long): PartitionedPSDMatrix

    

    Definition Classes

    LocalScalarKernel

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

    

    Definition Classes

    LocalScalarKernel → CovarianceFunction

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

    

    Definition Classes

    LocalScalarKernel → CovarianceFunction

19. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

20. var colBlocking: Int

    

    Definition Classes

    LocalScalarKernel

21. def effective_hyper_parameters: List[String]

    

    Definition Classes

    CovarianceFunction

22. def effective_state: Map[String, Double]

    

    Definition Classes

    CovarianceFunction

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

    

    Definition Classes

    AnyRef

24. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

25. def evaluate(x: Double, y: Double): Double

    

    Definition Classes

    CovarianceFunction → Kernel

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

    

    Definition Classes

    SECovFunc → RBFCovFunc → CovarianceFunction

27. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    

    Definition Classes

    AnyRef → Any

29. def gradient(x: Double, y: Double): Map[String, Double]

    

    Definition Classes

    CovarianceFunction

30. def gradientAt(config: Map[String, Double])(x: Double, y: Double): Map[String, Double]

    

    Definition Classes

    SECovFunc → RBFCovFunc → CovarianceFunction

31. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

32. val hyper_parameters: List[String]

    

    Definition Classes

    SECovFunc → RBFCovFunc → CovarianceFunction

33. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    AnyRef

35. final def notify(): Unit

    

    Definition Classes

    AnyRef

36. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

37. var rowBlocking: Int

    

    Definition Classes

    LocalScalarKernel

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

    

    Definition Classes

    LocalScalarKernel

39. def setHyperParameters(h: Map[String, Double]): SECovFunc.this.type

    

    Definition Classes

    CovarianceFunction

40. var state: Map[String, Double]

    

    Definition Classes

    CovarianceFunction

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

    

    Definition Classes

    AnyRef

42. def toString(): String

    

    Definition Classes

    AnyRef → Any

43. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )