sigmoidVarKernGradient: Compute gradient of sigmoid kernel with respect to each...
In deGradInfer: Parameter Inference for Systems of Differential Equation
Description
Usage
Arguments
Value
Description
Compute gradient of sigmoid kernel with respect to each parameter (used by gptk)
Usage
1
sigmoidVarKernGradient(kern, x, x2, covGrad)
Arguments
kern
kernel
x
input 1
x2
input 2
covGrad
gradient of covariance function
Value
d k(x, x2) / d theta
deGradInfer documentation built on Jan. 21, 2020, 1:06 a.m.
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Description Usage Arguments Value
Description
Compute gradient of sigmoid kernel with respect to each parameter (used by gptk)
Usage
1 | sigmoidVarKernGradient(kern, x, x2, covGrad)
|
Arguments
kern |
kernel |
x |
input 1 |
x2 |
input 2 |
covGrad |
gradient of covariance function |
Value
d k(x, x2) / d theta
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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