![]() |
Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
|
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: