Dakota Reference Manual: reuse_points

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reuse_points

Surrogate model training data reuse control

## Topics

This keyword is related to the topics:

- surrogate_models

## Specification

Alias: reuse_samples

Argument(s): none

Default: all for import; none otherwise

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Required (Choose One) | Reuse Domain (Group 1) | all | Option for `reuse_points`
region | Option for `reuse_points`
none | Option for `reuse_points`

## 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 builds
- `region` - use only the points falling in the current trust region (see surrogate_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