gpOptions: Return default options for GP model.
In alkalait/gptk: Gaussian Processes Tool-Kit
Description
Usage
Arguments
Value
See Also
Examples
Description
returns the default options in a structure for a GP model.
Usage
1
Arguments
approx
approximation type, either 'ftc' (no approximation), 'dtcvar' (variational sparse approximation) 'dtc' (deterministic training conditional), 'fitc' (fully independent training conditional) or 'pitc' (partially independent training conditional).
Value
options
structure containing the default options for the given approximation type.
See Also
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 default options in a structure for a GP model.
Usage
1 |
Arguments
approx |
approximation type, either 'ftc' (no approximation), 'dtcvar' (variational sparse approximation) 'dtc' (deterministic training conditional), 'fitc' (fully independent training conditional) or 'pitc' (partially independent training conditional). |
Value
options |
structure containing the default options for the given approximation type. |
See Also
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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