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Nonlinear Regression
Solver for nonlinear regression problems using Sequential Minimal Optimization.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Test Data | Test | Tree of data to test against training data. | Number |
| Training Inputs | Inputs | Tree list of training inputs. | Number |
| Training Output | Output | The list of training outputs. | Number |
| Sigma | Sigma | Sigma of prediction curve | Integer |
| Complexity | Complex | Complexity of the prediction | Number |
| Random Seed | Seed | Seed for number generator. | Integer |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Result | Result | Resultant prediction | Generic Data |
| Score | Score | The predicted scores | Generic Data |
| Error | Error | Error between the expected and predicted | Generic Data |
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