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Generalized Additive Models Binary Classifier
The GAM trainer is used for training a binary classification model with Generalized Additive Models (GAM).
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Number of Iterations | Iterations | The number of iterations to use in learning the features. | Integer |
| Maximum Bin Count Per Feature | Bins | The maximum number of bins to use to approximate features. | Integer |
| Learning Rate | Learning | The learning rate. GAMs work best with a small learning rate. | Number |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Trainer Type | Trainer Type | The trainer used for machine learning problems. | Generic |
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