SquaredLoss Class
Definition
Important
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The Squared Loss, commonly used in regression tasks.
public sealed class SquaredLoss : Microsoft.ML.Trainers.ILossFunction<float,float>, Microsoft.ML.Trainers.ISupportSdcaRegressionLosstype SquaredLoss = class
interface ISupportSdcaRegressionLoss
interface ISupportSdcaLoss
interface IScalarLoss
interface ILossFunction<single, single>
interface IRegressionLossPublic NotInheritable Class SquaredLoss
Implements ILossFunction(Of Single, Single), ISupportSdcaRegressionLoss- Inheritance
-
SquaredLoss
- Implements
Remarks
The Squared Loss function is defined as:
$L(\hat{y}, y) = (\hat{y} - y)^2$
where $\hat{y}$ is the predicted value and $y$ is the true value.
Constructors
| SquaredLoss() |
Methods
| ComputeDualUpdateInvariant(Single) | |
| Derivative(Single, Single) | |
| DualLoss(Single, Single) | |
| DualUpdate(Single, Single, Single, Single, Int32) | |
| Loss(Single, Single) |