fixedvarianceKernGradient: fixedvarianceKernGradient
In PROBIC/GPrank: Gaussian Process Ranking of Multiple Time Series
Description
Usage
Arguments
Value
Author(s)
Description
Function for computing the gradient of the fixedvariance kernel.
As the parameters of the fixedvariance kernel are fixed, the
gradient equals zero. This function is written to comply with
the gptk package.
Usage
1
fixedvarianceKernGradient(kern, x, x2, covGrad)
Arguments
kern
GP kernel structure which contains the
fixed variances.
x
x
x2
x2
covGrad
covGrad
Value
Return value for the gradient of fixedvariance kernel.
Author(s)
Hande Topa, hande.topa@helsinki.fi
PROBIC/GPrank documentation built on May 7, 2019, 11:53 p.m.
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Description Usage Arguments Value Author(s)
Description
Function for computing the gradient of the fixedvariance kernel.
As the parameters of the fixedvariance kernel are fixed, the
gradient equals zero. This function is written to comply with
the gptk package.
Usage
1 | fixedvarianceKernGradient(kern, x, x2, covGrad)
|
Arguments
kern |
GP kernel structure which contains the fixed variances. |
x |
x |
x2 |
x2 |
covGrad |
covGrad |
Value
Return value for the gradient of fixedvariance kernel.
Author(s)
Hande Topa, hande.topa@helsinki.fi
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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