regression_type
Type of solver for forming function train approximations by regression
Specification
Alias: None
Arguments: None
Child Keywords:
Required/Optional |
Description of Group |
Dakota Keyword |
Dakota Keyword Description |
|---|---|---|---|
Required (Choose One) |
Regression Type |
Use least squares solver for forming function train approximations by regression |
|
Use regularized regression solver for forming function train approximations |
Description
Function train approximations are formed based on regression for the set of coefficients described at model-surrogate-global-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.
