1Blurb:: Penalty value applied in regularized regression solver for function train approximations 2 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). 8 9<b> Default Behavior </b> 10 11If this penalty parameter is not specified, then we adopt the internal C3 default. 12 13Topics:: 14 15Examples:: 16Theory:: 17Faq:: 18See_Also:: model-surrogate-global-function_train-regression_type-rls2 19