Dakota Reference Manual: fitness_metric

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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fitness_metric

(Experimental) Specify the `fitness_metric` used to select the next point

## Specification

Alias: none

Argument(s): none

Default: predicted_variance

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Required (Choose One) | Fitness Metric (Group 1) | predicted_variance | Pick points with highest variance
distance | Space filling metric
gradient | Fill the range space of the surrogate

## Description

`adaptive` sampling is an experimental capability that is not ready for production use at this time.

The user can specify the `fitness_metric` used to select the next point (or points) to evaluate and add to the set. The fitness metrics used for scoring candidate points include:

- `predicted_variance`
- `distance`
- `gradient`