Class Hinge
Hinge Loss, also known as max-margin objective, is a loss function used for training classifiers. The hinge loss is used for “maximum-margin” classification, most notably for support vector machines (SVMs).
Inherited Members
Namespace: SiaNet.Losses
Assembly: SiaNet.dll
Syntax
public class Hinge : BaseLossConstructors
| Improve this Doc View SourceHinge()
Initializes a new instance of the Hinge class.
Declaration
public Hinge()Methods
| Improve this Doc View SourceBackward(Tensor, Tensor)
Backpropagation method to calculate gradient of the loss function
Declaration
public override Tensor Backward(Tensor preds, Tensor labels)Parameters
| Type | Name | Description |
|---|---|---|
| Tensor | preds | The predicted result. |
| Tensor | labels | The true result. |
Returns
| Type | Description |
|---|---|
| Tensor |
Overrides
| Improve this Doc View SourceForward(Tensor, Tensor)
Forwards the inputs and calculate the loss.
Declaration
public override Tensor Forward(Tensor preds, Tensor labels)Parameters
| Type | Name | Description |
|---|---|---|
| Tensor | preds | The predicted result. |
| Tensor | labels | The true result. |
Returns
| Type | Description |
|---|---|
| Tensor |