Optimise the inducing variable based kernel.

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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
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