1Blurb:: Penalty value applied in regularized regression solver for function train approximations
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3Description::
4Regularized regression applies a penalty to aspects of the recovered solution
5(e.g., cardinality, higher-order oscillatory terms, et al.) to mitigate overfitting.
6This specification provides the scalar penalty parameter (its value is not currently
7adapted or cross-validated).
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9<b> Default Behavior </b>
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11If this penalty parameter is not specified, then we adopt the internal C3 default.
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13Topics::
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15Examples::
16Theory::
17Faq::
18See_Also::  model-surrogate-global-function_train-regression_type-rls2
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