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Average Perceptron Binary Classifier
The Average Perceptron Binary Classifier is used to train a linear binary classification model trained over boolean label data.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| L2 Regularization | L2 Regularization | The L2 regularization weight. | Number |
| Number of Iterations | Iterations | Number of passes through the training dataset. | Integer |
| Learning Rate | Learning | The shrinkage rate for trees, used to prevent over-fitting. | Number |
| Decrease Learning Rate | Decrease | Determine whether to decrease the LearningRate or not. If set to true, The learning rate will be reduced with every weight update proportional to the square root of the number of updates. | Boolean |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Trainer Type | Trainer Type | The trainer used for machine learning problems. | Generic |
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