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.
