Object/Trait

io.github.mandar2812.dynaml.kernels

SVMKernel

Related Docs: trait SVMKernel | package kernels

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object SVMKernel extends Serializable

Defines a global singleton object SVMKernel having functions which can construct kernel matrices.

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

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  4. final def asInstanceOf[T0]: T0

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  5. def buildCrossKernelGradMatrix[S <: Seq[T], T](data1: S, data2: S, hyper_parameters: Seq[String], eval: (T, T) ⇒ Double, evalGrad: (String) ⇒ (T, T) ⇒ Double): Map[String, DenseMatrix[Double]]

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    Returns the kernel matrix along with its derivatives for each hyper-parameter.

  6. def buildKernelGradMatrix[S <: Seq[T], T](data1: S, hyper_parameters: Seq[String], eval: (T, T) ⇒ Double, evalGrad: (String) ⇒ (T, T) ⇒ Double): Map[String, DenseMatrix[Double]]

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  7. def buildPartitionedKernelGradMatrix[S <: Seq[T], T](data: S, length: Long, numElementsPerRowBlock: Int, numElementsPerColBlock: Int, hyper_parameters: Seq[String], eval: (T, T) ⇒ Double, evalGrad: (String) ⇒ (T, T) ⇒ Double): Map[String, PartitionedPSDMatrix]

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  8. def buildPartitionedKernelMatrix[S <: Seq[T], T](data: S, length: Long, numElementsPerRowBlock: Int, numElementsPerColBlock: Int, eval: (T, T) ⇒ Double): PartitionedPSDMatrix

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  9. def buildSVMKernelMatrix[S <: Seq[T], T](mappedData: S, length: Int, eval: (T, T) ⇒ Double): KernelMatrix[DenseMatrix[Double]]

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    This function constructs an SVMKernelMatrix

    This function constructs an SVMKernelMatrix

    mappedData

    Graphical model

    length

    Number of data points

    eval

    A function which calculates the value of the Kernel given two feature vectors.

    returns

    An SVMKernelMatrix object.

  10. def clone(): AnyRef

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  11. def crossKernelMatrix[S <: Seq[T], T](data1: S, data2: S, eval: (T, T) ⇒ Double): DenseMatrix[Double]

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  12. def crossPartitonedKernelMatrix[T, S <: Seq[T]](data1: S, data2: S, numElementsPerRowBlock: Int, numElementsPerColBlock: Int, eval: (T, T) ⇒ Double): PartitionedMatrix

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