4 instantiations of SquaredLoss
Microsoft.ML.Core.Tests (1)
UnitTests\TestLoss.cs (1)
84
SquaredLoss loss = new
SquaredLoss
();
Microsoft.ML.Data (2)
Utils\LossFunctions.cs (2)
465
public ISupportSdcaRegressionLoss CreateComponent(IHostEnvironment env) => new
SquaredLoss
();
467
IRegressionLoss IComponentFactory<IRegressionLoss>.CreateComponent(IHostEnvironment env) => new
SquaredLoss
();
Microsoft.ML.StandardTrainers (1)
Standard\Online\OnlineGradientDescent.cs (1)
155
LossFunction = lossFunction ?? new
SquaredLoss
()
8 references to SquaredLoss
Microsoft.ML.Core.Tests (1)
UnitTests\TestLoss.cs (1)
84
SquaredLoss
loss = new SquaredLoss();
Microsoft.ML.Data (2)
Utils\LossFunctions.cs (2)
25
[assembly: LoadableClass(
SquaredLoss
.Summary, typeof(
SquaredLoss
), null, typeof(SignatureRegressionLoss),
Microsoft.ML.StandardTrainers (5)
Standard\Online\OnlineGradientDescent.cs (1)
138
/// <param name="lossFunction">The custom loss functions. Defaults to <see cref="
SquaredLoss
"/> if not provided.</param>
Standard\SdcaRegression.cs (2)
70
/// Defaults to <see cref="
SquaredLoss
"/>
79
/// Defaults to <see cref="
SquaredLoss
"/>
StandardTrainersCatalog.cs (2)
142
/// <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function minimized in the training process. Using, for example, its default <see cref="
SquaredLoss
"/> leads to a least square trainer.</param>
475
/// <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function minimized in the training process. Using, for example, <see cref="
SquaredLoss
"/> leads to a least square trainer.</param>