reuse_points
Surrogate model training data reuse control
Topics
surrogate_models
Specification
Alias: reuse_samples
Arguments: None
Default: all for import; none otherwise
Child Keywords:
Required/Optional |
Description of Group |
Dakota Keyword |
Dakota Keyword Description |
---|---|---|---|
Required (Choose One) |
Reuse Domain |
Option for |
|
Option for |
|||
Option for |
Description
Dakota’s global surrogate methods rely on training data, which can
either come from evaluation of a “truth” model, which is generated by
the method specified with
dace_method_pointer
, from a file of existing
training data, identified by
import_build_points_file
, or both.
The reuse_points
keyword controls the amount of training data used
in building a surrogate model, either initially, or during iterative
rebuild, as in surrogate-based optimization. If
import_build_points_file
is specified,
reuse_points
controls how the file contents are used. If used during
iterative rebuild, it controls what data from previous surrogate
builds is reused in building the current model.
all
(default for file import) - use all points in the file or available from previous buildsregion
- use only the points falling in the current trust region (seesurrogate_based_local
)none
(default when no import) - ignore the contents of the file or previous build points, and gather new training data using the specified DACE method