gptk (version 1.0)

whiteKernDiagGradX: Gradient of WHITE kernel's diagonal with respect to X.

Description

computes the gradient of the diagonal of the white noise kernel matrix with respect to the elements of the design matrix given in X.

Usage

gX <- whiteKernDiagGradX(kern, X)

Arguments

kern

the kernel structure for which gradients are being computed.

X

the input data in the form of a design matrix.

Value

• gX
  the gradients of the diagonal with respect to each element of X. The returned matrix has the same dimensions as X.

See Also

whiteKernParamInit, kernDiagGradX, whiteKernGradX.

Examples

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