keystoneml.nodes.learning

GaussianKernelTransformer

class GaussianKernelTransformer extends KernelTransformer[DenseVector[Double]] with Serializable

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Serializable, Serializable, KernelTransformer[DenseVector[Double]], AnyRef, Any
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  1. GaussianKernelTransformer
  2. Serializable
  3. Serializable
  4. KernelTransformer
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Instance Constructors

  1. new GaussianKernelTransformer(trainData: RDD[DenseVector[Double]], trainDotProd: RDD[Double], gamma: Double, cacheKernel: Boolean)

Value Members

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

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

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  3. final def ##(): Int

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

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

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  6. def apply(data: DenseVector[Double]): DenseVector[Double]

    Perform a kernel transformation on a single element.

    Perform a kernel transformation on a single element.

    data

    input data to compute kernel on.

    returns

    a dense vector containing the transformed data.

    Definition Classes
    GaussianKernelTransformerKernelTransformer
  7. def apply(data: RDD[DenseVector[Double]]): KernelMatrix

    Perform kernel transformation of a given dataset.

    Perform kernel transformation of a given dataset. If the kernel function is \phi, this computes \phi(x, y) for all rows in the given dataset.

    data

    input data to compute kernel on.

    returns

    a kernel matrix containing the output of the transformation

    Definition Classes
    GaussianKernelTransformerKernelTransformer
  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
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    @throws( ... )
  10. def computeKernel(data: RDD[DenseVector[Double]], blockIdxs: Seq[Int]): (RDD[DenseMatrix[Double]], DenseMatrix[Double])

    Internal function used to lazily populate the kernel matrix.

    Internal function used to lazily populate the kernel matrix.

    NOTE: This function returns a *cached* RDD and the caller is responsible for managing its life cycle.

    data

    RDD to compute kernel on

    returns

    a pair containing the RDD for the column block and the diagonal block

    Definition Classes
    GaussianKernelTransformerKernelTransformer
  11. final def eq(arg0: AnyRef): Boolean

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from KernelTransformer[DenseVector[Double]]

Inherited from AnyRef

Inherited from Any

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