posterior.laplace.approximation: Calculate Laplace Approximation of a GP
In mattdneal/gaussianProcess: Gaussian Process Fitting and Prediction
Description
Usage
Arguments
Value
See Also
Description
Calculate the Laplace Approximation of the posterior log likelihood of a gp
Usage
1
posterior.laplace.approximation(gp.obj, prior, ...)
Arguments
gp.obj
A trained gaussianProcess object
prior
The prior over the hyperparameters
Value
The approximate posterior log likelihood for the input GP object.
See Also
model.search and gaussianProcess
mattdneal/gaussianProcess documentation built on May 21, 2019, 12:58 p.m.
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Description Usage Arguments Value See Also
Description
Calculate the Laplace Approximation of the posterior log likelihood of a gp
Usage
1 | posterior.laplace.approximation(gp.obj, prior, ...)
|
Arguments
gp.obj |
A trained gaussianProcess object |
prior |
The prior over the hyperparameters |
Value
The approximate posterior log likelihood for the input GP object.
See Also
model.search and gaussianProcess
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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