ISupportSdcaRegressionLoss Interface
Definition
public interface ISupportSdcaRegressionLoss : Microsoft.ML.Trainers.ILossFunction<float,float>, Microsoft.ML.Trainers.IRegressionLoss, Microsoft.ML.Trainers.ISupportSdcaLoss
type ISupportSdcaRegressionLoss = interface
interface ISupportSdcaLoss
interface IScalarLoss
interface ILossFunction<single, single>
interface IRegressionLoss
Public Interface ISupportSdcaRegressionLoss
Implements ILossFunction(Of Single, Single), IRegressionLoss, ISupportSdcaLoss
 Derived
 Implements
Methods
ComputeDualUpdateInvariant(Single)  (Inherited from ISupportSdcaLoss) 
Derivative(Single, Single) 
Derivative of the loss function with respect to output (Inherited from IScalarLoss) 
DualLoss(Single, Single) 
The dual loss function for a training example. If f(x) denotes the loss function on an individual training example, then this function returns f*(x*), where f*(x*) is the Fenchel conjugate of f(x). (Inherited from ISupportSdcaLoss) 
DualUpdate(Single, Single, Single, Single, Int32) 
Compute the dual update (\Delta\alpha_i) in SDCA

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
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