MLCLossLayer.CreateMeanSquaredErrorLoss Method
Definition
Important
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Overloads
| Name | Description |
|---|---|
| CreateMeanSquaredErrorLoss(MLCReductionType, MLCTensor) | |
| CreateMeanSquaredErrorLoss(MLCReductionType, Single) |
CreateMeanSquaredErrorLoss(MLCReductionType, MLCTensor)
[Foundation.Export("meanSquaredErrorLossWithReductionType:weights:")]
[ObjCRuntime.BindingImpl(ObjCRuntime.BindingImplOptions.GeneratedCode | ObjCRuntime.BindingImplOptions.Optimizable)]
public static MLCompute.MLCLossLayer CreateMeanSquaredErrorLoss(MLCompute.MLCReductionType reductionType, MLCompute.MLCTensor? weights);[<Foundation.Export("meanSquaredErrorLossWithReductionType:weights:")>]
[<ObjCRuntime.BindingImpl(ObjCRuntime.BindingImplOptions.GeneratedCode | ObjCRuntime.BindingImplOptions.Optimizable)>]
static member CreateMeanSquaredErrorLoss : MLCompute.MLCReductionType * MLCompute.MLCTensor -> MLCompute.MLCLossLayerParameters
- reductionType
- MLCReductionType
- weights
- MLCTensor
Returns
- Attributes
Applies to
CreateMeanSquaredErrorLoss(MLCReductionType, Single)
[Foundation.Export("meanSquaredErrorLossWithReductionType:weight:")]
[ObjCRuntime.BindingImpl(ObjCRuntime.BindingImplOptions.GeneratedCode | ObjCRuntime.BindingImplOptions.Optimizable)]
public static MLCompute.MLCLossLayer CreateMeanSquaredErrorLoss(MLCompute.MLCReductionType reductionType, float weight);[<Foundation.Export("meanSquaredErrorLossWithReductionType:weight:")>]
[<ObjCRuntime.BindingImpl(ObjCRuntime.BindingImplOptions.GeneratedCode | ObjCRuntime.BindingImplOptions.Optimizable)>]
static member CreateMeanSquaredErrorLoss : MLCompute.MLCReductionType * single -> MLCompute.MLCLossLayerParameters
- reductionType
- MLCReductionType
- weight
- Single
Returns
- Attributes