gpOptimise: Optimise the inducing variable based kernel.

Description Usage Arguments Value See Also Examples

View source: R/gpOptimise.R

Description

optimises the Gaussian process model for a given number of iterations.

Usage

1
gpOptimise(model, display, iters, gradcheck)

Arguments

model

the model to be optimised.

display

whether or not to display while optimisation proceeds, set to 2 for the most verbose and 0 for the least verbose.

iters

number of iterations for the optimisation.

gradcheck

(logical) do a gradient check.

Value

model

the optimised model.

See Also

gpCreate, gpGradient, gpObjective.

Examples

1
## missing

gptk documentation built on May 20, 2017, 4:29 a.m.

Search within the gptk package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.