gpObjective: Wrapper function for GP objective.
In alkalait/gptk: Gaussian Processes Tool-Kit
Description
Usage
Arguments
Value
See Also
Examples
Description
returns the negative log likelihood of a Gaussian process model given the model structure and a vector of parameters. This allows the use of NETLAB minimisation functions to find the model parameters.
Usage
1
gpObjective(params, model)
Arguments
params
the parameters of the model for which the objective will be evaluated.
model
the model structure for which the objective will be evaluated.
Value
f
the negative log likelihood of the GP model.
See Also
gpCreate, gpGradient, gpLogLikelihood, gpOptimise.
Examples
1
## missing
alkalait/gptk documentation built on March 7, 2020, 6:30 a.m.
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Description Usage Arguments Value See Also Examples
Description
returns the negative log likelihood of a Gaussian process model given the model structure and a vector of parameters. This allows the use of NETLAB minimisation functions to find the model parameters.
Usage
1 | gpObjective(params, model)
|
Arguments
params |
the parameters of the model for which the objective will be evaluated. |
model |
the model structure for which the objective will be evaluated. |
Value
f |
the negative log likelihood of the GP model. |
See Also
gpCreate, gpGradient, gpLogLikelihood, gpOptimise.
Examples
1 | ## missing
|
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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