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# MLCLossDescriptor

A configuration object you use to create a loss layer.

```
class MLCLossDescriptor
```

## Topics

### Creating Loss Descriptors

[`init(type:reductionType:)`](/documentation/MLCompute/MLCLossDescriptor/init(type:reductionType:))

Creates a loss descriptor with the loss function and reduction type you specify.

[`init(type:reductionType:weight:)`](/documentation/MLCompute/MLCLossDescriptor/init(type:reductionType:weight:))

Creates a loss descriptor with the loss function, reduction type, and weight you specify.

[`init(type:reductionType:weight:labelSmoothing:classCount:)`](/documentation/MLCompute/MLCLossDescriptor/init(type:reductionType:weight:labelSmoothing:classCount:))

Creates a loss descriptor with the loss function, reduction type, weight, label smoothing, and number of classes you specify.

[`init(type:reductionType:weight:labelSmoothing:classCount:epsilon:delta:)`](/documentation/MLCompute/MLCLossDescriptor/init(type:reductionType:weight:labelSmoothing:classCount:epsilon:delta:))

Creates a loss descriptor with the loss function, reduction type, weight, label smoothing, and number of classes, epsilon, and delta that you specify.

### Inspecting Loss Descriptors

[`lossType`](/documentation/MLCompute/MLCLossDescriptor/lossType)

The loss function type.

[`reductionType`](/documentation/MLCompute/MLCLossDescriptor/reductionType)

The reduction operation performed by the loss function.

[`weight`](/documentation/MLCompute/MLCLossDescriptor/weight)

The scale factor you apply to each element of a result.

[`labelSmoothing`](/documentation/MLCompute/MLCLossDescriptor/labelSmoothing)

The value for label smoothing.

[`classCount`](/documentation/MLCompute/MLCLossDescriptor/classCount)

The number of classes.

[`epsilon`](/documentation/MLCompute/MLCLossDescriptor/epsilon)

The epsilon value.

[`delta`](/documentation/MLCompute/MLCLossDescriptor/delta)

The delta value.


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