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

Example output

Loading required package: Matrix
Loading required package: fields
Loading required package: spam
Loading required package: dotCall64
Loading required package: grid
Spam version 2.1-1 (2017-07-02) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction 
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.

Attaching package: 'spam'

The following objects are masked from 'package:base':

    backsolve, forwardsolve

Loading required package: maps

gptk documentation built on May 30, 2017, 6:41 a.m.

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