File containing points you wish to use to build a surrogate

Specification

Alias: import_points_file

Argument(s): STRING

Default: no point import from a file

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Optional

(Choose One)

Tabular Format (Group 1)

custom_annotated

Selects custom-annotated tabular file format

annotated

Selects annotated tabular file format

freeform

Selects freeform file format

Description

The import_build_points_file allows the user to specify a file that contains a list of points and truth model responses used to construct a surrogate model. These can be used by all methods that (explicitly, e.g. surrogate-based optimization, or implicitly, e.g. efficient global optimization) operate on a surrogate. In particular, these points and responses are used in place of truth model evaluations to construct the initial surrogate. When used to construct surrogate models or emulators these are often called build points or training data.

Default Behavior

By default, methods do not import points from a file.

Usage Tips

Dakota parses input files without regard to whitespace, but the import_build_points_file must be in one of three formats:

annotated (default)
custom_annotated
freeform

Examples

method
  polynomial_chaos
    expansion_order = 4 
    import_build_points_file = 'dakota_uq_rosenbrock_pce_import.annot.pts.dat'