get.marginal.likelihood.grad: Get the Grad of the Log Marginal Likelihood of a GP
In mattdneal/gaussianProcess: Gaussian Process Fitting and Prediction
Description
Returns the grad of the log marginal likelihood of a GP w.r.t. the kernel's
hyperparameters.
Usage
1
get.marginal.likelihood.grad(gp, sigma.n, hyper.params)
Arguments
gp
a GaussianProcess object
sigma.n
a numeric value for sigma.n
hyper.params
a numeric vector of hyperparameters
mattdneal/gaussianProcess documentation built on May 21, 2019, 12:58 p.m.
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Description
Returns the grad of the log marginal likelihood of a GP w.r.t. the kernel's hyperparameters.
Usage
1 | get.marginal.likelihood.grad(gp, sigma.n, hyper.params)
|
Arguments
gp |
a GaussianProcess object |
sigma.n |
a numeric value for sigma.n |
hyper.params |
a numeric vector of hyperparameters |
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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