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SGD Noncalibrated Binary Classifier
The SGD Noncalibrated trains a linear classification model using the parallel stochastic gradient descent (SGD) method. The SGD is an iterative algorithm that optimizes a differentiable objective function.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| L2 Regularization | L2 Regularization | The L2 regularization weight. | Number |
| Number of Iterations | Iterations | The maximum number of passes through the training dataset; set to 1 to simulate online learning. | Integer |
| Learning Rate | Learning | The initial learning rate used by SGD. | Number |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Trainer Type | Trainer Type | The trainer used for machine learning problems. | Generic |
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