Blurb:: Penalty value applied in regularized regression solver for function train approximations

Description::
Regularized regression applies a penalty to aspects of the recovered solution
(e.g., cardinality, higher-order oscillatory terms, et al.) to mitigate overfitting.
This specification provides the scalar penalty parameter (its value is not currently
adapted or cross-validated).

<b> Default Behavior </b>

If this penalty parameter is not specified, then we adopt the internal C3 default.

Topics::

Examples::
Theory::
Faq::
See_Also::  model-surrogate-global-function_train-regression_type-rls2
