.. _model-surrogate-global-function_train-regression_type-rls2-l2_penalty:

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l2_penalty
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Penalty value applied in regularized regression solver for function train approximations


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**Specification**

- *Alias:* None

- *Arguments:* REAL


**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).

*Default Behavior*

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


