dace_method_pointer
Specify a method to gather training data
Topics
block_pointer
Specification
Alias: None
Arguments: STRING
Default: no design of experiments data
Child Keywords:
Required/Optional |
Description of Group |
Dakota Keyword |
Dakota Keyword Description |
|---|---|---|---|
Optional |
Experimental auto-refinement of surrogate model |
||
Description
The number of training points and the sources are specified on model-surrogate-global, as well as the number of new training points required.
New training points are gathered by running the “truth” model using
the method specified by dace_method_pointer.
The DACE method will only be
invoked if it has new samples to perform, and if new samples are
required and no DACE iterator has been provided, an error will result.
The dace_method_pointer points to design of experiments method
block
used to generate truth model data.
Permissible methods include: Monte Carlo (random) sampling, Latin hypercube sampling, orthogonal array sampling, central composite design sampling, and Box-Behnken sampling.
Note that the number of samples specified in the method block may be overwritten, if the requested number of samples is less than model-surrogate-global-minimum_points.
