.. _method-multilevel_function_train-response_scaling:

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response_scaling
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Perform bounds-scaling on response values prior to surrogate emulation


.. toctree::
   :hidden:
   :maxdepth: 1



**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.