gptk (version 1.06)

gpGradient: Gradient wrapper for a GP model.

Description

wraps the log likelihood gradient function to return the gradient of the negative of the log likelihood. This can then be used in, for example, NETLAB, minimisation tools.

Usage

gpGradient(params, model)

Arguments

params

the parameters of the model.

model

the model for which gradients will be computed.

Value

• g
  the returned gradient of the negative log likelihood for the given parameters.

See Also

gpCreate, gpGradient, gpLogLikeGradients, gpOptimise.

Examples

## missing