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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Use regularized regression solver for forming function train approximations
Alias: none
Argument(s): none
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Required | l2_penalty | Penalty value applied in regularized regression solver for function train approximations |
RLS2 is a regularized least squares solver that applies an L2 penalty to mitigate overfitting. It includes the option to specify a penalty parameter.
These keywords may also be of interest: