![]() |
Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
|
Type of solver for forming function train approximations by regression
Alias: none
Argument(s): none
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Required (Choose One) | Regression Type (Group 1) | ls | Use least squares solver for forming function train approximations by regression | |
rls2 | Use regularized regression solver for forming function train approximations |
Function train approximations are formed based on regression for the set of coefficients described at function_train. Solver options include least squares and regularized regression, where the latter penalizes high-order terms to mitigate overfitting.
Default Behavior
The default regression solver is least squares.