rbfKernGradX: Gradient of RBF kernel with respect to input locations.

In alkalait/gptk: Gaussian Processes Tool-Kit

Description

computes the gradident of the radial basis function kernel with respect to the input positions where both the row positions and column positions are provided separately.

Usage

rbfKernGradX(kern, x1, x2)

Arguments

kern	kernel structure for which gradients are being computed.
x1	row locations against which gradients are being computed.
x2	column locations against which gradients are being computed.

Value

g	the returned gradients. The gradients are returned in a matrix which is numData2 x numInputs x numData1. Where numData1 is the number of data points in X1, numData2 is the number of data points in X2 and numInputs is the number of input dimensions in X.

See Also

rbfKernParamInit, kernGradX, rbfKernDiagGradX.

Examples

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alkalait/gptk documentation built on March 7, 2020, 6:30 a.m.