Object

scalismo.kernels

Kernel

Related Doc: package kernels

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object Kernel

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  6. def computeKernelMatrix[D <: Dim, DO <: Dim](xs: Seq[Point[D]], k: MatrixValuedPDKernel[D, DO]): DenseMatrix[Float]

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  7. def computeKernelVectorFor[D <: Dim, DO <: Dim](x: Point[D], xs: IndexedSeq[Point[D]], k: MatrixValuedPDKernel[D, DO]): DenseMatrix[Double]

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    for every domain point x in the list, we compute the kernel vector kx = (k(x, x1), ...

    for every domain point x in the list, we compute the kernel vector kx = (k(x, x1), ... k(x, xm)) since the kernel is matrix valued, kx is actually a matrix

    !! Hack - We currently return a double matrix, with the only reason that matrix multiplication (further down) is faster (breeze implementation detail). This should be replaced at some point

  8. def computeNystromApproximation[D <: Dim, DO <: Dim](k: MatrixValuedPDKernel[D, DO], numBasisFunctions: Int, sampler: Sampler[D])(implicit arg0: NDSpace[D], arg1: NDSpace[DO]): KLBasis[D, DO]

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