Sandia National Laboratories

# response_scaling

Perform bounds-scaling on response values prior to surrogate emulation

Specification

- Alias: None

- Arguments: 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.

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