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IRegressionLoss Interface

  • Reference

Definition

Namespace:
Microsoft.ML.Trainers
Assembly:
Microsoft.ML.Data.dll
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v1.0.0
Package:
Microsoft.ML v1.1.0
Package:
Microsoft.ML v1.2.0
Package:
Microsoft.ML v1.3.1
Package:
Microsoft.ML v1.4.0
Package:
Microsoft.ML v1.5.5
Package:
Microsoft.ML v1.6.0
Package:
Microsoft.ML v1.7.0
Package:
Microsoft.ML v2.0.0
public interface IRegressionLoss : Microsoft.ML.Trainers.ILossFunction<float,float>, Microsoft.ML.Trainers.IScalarLoss
type IRegressionLoss = interface
    interface IScalarLoss
    interface ILossFunction<single, single>
Public Interface IRegressionLoss
Implements ILossFunction(Of Single, Single), IScalarLoss
Derived
Implements
ILossFunction<Single,Single> IScalarLoss

Methods

Derivative(Single, Single)

Derivative of the loss function with respect to output

(Inherited from IScalarLoss)
Loss(TOutput, TLabel)

Computes the loss given the output and the ground truth. Note that the return value has type Double because the loss is usually accumulated over many instances.

(Inherited from ILossFunction<TOutput,TLabel>)

Applies to