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Surrogate modeling tool for approximating objective functions
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Design Map + Objectives | DM+O | Design vectors and their simulated objective values | Number |
| Number of Variables | N | Number of Variables on Design Map | Integer |
| Training/Validation Ratio | Ratio | Ratio between Training and Validation data from Design Map data | Number |
| Variables | Var | Variables used for the prediction | Number |
| Build | Build | Create the surrogate model | Boolean |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Prediction | P | Predicted value | Number |
| Model Type | Model | Model type selected for surrogate model | Text |
| Nuisance Parameter | Param | Parameter for selected surrogate model | Number |
| Test Models | TModels | All considered surrogate models | Text |
| Test Model Parameters | TParams | Nuisance parameters for all considered surrogate models | Number |
| Test Model Errors | Errors | Validation errors for all considered surrogate models | Number |
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