Dakota Reference Manual  Version 6.15
Explore and Predict with Confidence
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response_scaling


Perform bounds-scaling on response values prior to surrogate emulation

Specification

Alias: none

Argument(s): none

Default: use original data

Description

Particularly in multifidelity methods based on regression solutions at each level of a model hierarchy, scaling can be an issue since the magnitude of discrepancy data may decay rapidly and regression solvers may employ absolute tolerances in places.

By activating response_scaling, the set of response data used for each recovery is scaled to [0,1] based on the minimum value and range of the data set. This prevents loss of accuracy due to imbalances in scale across model levels.

See Also

These keywords may also be of interest: