bayesian.information.criterion: Calculate BIC of a GP
In mattdneal/gaussianProcess: Gaussian Process Fitting and Prediction
Description
Usage
Arguments
Value
See Also
Examples
Description
Calculate BIC of a GP
Usage
1
bayesian.information.criterion(gp.obj, ...)
Arguments
gp.obj
A trained gaussianProcess object
Value
The BIC value for the input GP object.
See Also
model.search and gaussianProcess
Examples
1
2
3
4
5
6
x <- rnorm(50)
y <- sin(1/(x^2 + 0.15))
mt <- create.model.tree.builtin()
mt <- insert.kernel.instance(mt, 1, "SE", NULL, hyper.params=c(l=1))
gp <- create.gaussian.process(x, y, mt)
gp$fit.hyperparams(NA)
mattdneal/gaussianProcess documentation built on May 21, 2019, 12:58 p.m.
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Description Usage Arguments Value See Also Examples
Description
Calculate BIC of a GP
Usage
1 | bayesian.information.criterion(gp.obj, ...)
|
Arguments
gp.obj |
A trained gaussianProcess object |
Value
The BIC value for the input GP object.
See Also
model.search and gaussianProcess
Examples
1 2 3 4 5 6 | x <- rnorm(50)
y <- sin(1/(x^2 + 0.15))
mt <- create.model.tree.builtin()
mt <- insert.kernel.instance(mt, 1, "SE", NULL, hyper.params=c(l=1))
gp <- create.gaussian.process(x, y, mt)
gp$fit.hyperparams(NA)
|
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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