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# MLCLossType

A loss function.

```
enum MLCLossType
```

## Topics

### Enumeration Cases

[`MLCLossType.categoricalCrossEntropy`](/documentation/MLCompute/MLCLossType/categoricalCrossEntropy)

[`MLCLossType.cosineDistance`](/documentation/MLCompute/MLCLossType/cosineDistance)

[`MLCLossType.hinge`](/documentation/MLCompute/MLCLossType/hinge)

[`MLCLossType.huber`](/documentation/MLCompute/MLCLossType/huber)

[`MLCLossType.log`](/documentation/MLCompute/MLCLossType/log)

[`MLCLossType.meanAbsoluteError`](/documentation/MLCompute/MLCLossType/meanAbsoluteError)

[`MLCLossType.meanSquaredError`](/documentation/MLCompute/MLCLossType/meanSquaredError)

[`MLCLossType.sigmoidCrossEntropy`](/documentation/MLCompute/MLCLossType/sigmoidCrossEntropy)

[`MLCLossType.softmaxCrossEntropy`](/documentation/MLCompute/MLCLossType/softmaxCrossEntropy)

[`MLCLossTypeCount`](/documentation/MLCompute/MLCLossType/MLCLossTypeCount)

[`debugDescription`](/documentation/MLCompute/MLCLossType/debugDescription)

A textual description of the loss type, suitable for debugging.


---

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