10 instantiations of LogLoss
Microsoft.ML.Data (2)
Utils\LossFunctions.cs (2)
103
public ISupportSdcaClassificationLoss CreateComponent(IHostEnvironment env) => new
LogLoss
();
105
IClassificationLoss IComponentFactory<IClassificationLoss>.CreateComponent(IHostEnvironment env) => new
LogLoss
();
Microsoft.ML.StandardTrainers (8)
Standard\SdcaBinary.cs (6)
1604
: base(env, labelColumnName, featureColumnName, weightColumnName, new
LogLoss
(), l2Const, l1Threshold, maxIterations)
1609
: base(env, options, new
LogLoss
())
1987
Loss = loss ?? new
LogLoss
();
2282
: base(env, labelColumn, featureColumn, weightColumn, new
LogLoss
(), maxIterations, initLearningRate, l2Weight)
2292
: base(env, options, loss: new
LogLoss
(), doCalibration: false)
2363
public IClassificationLoss LossFunction = new
LogLoss
();
Standard\SdcaMulticlass.cs (1)
538
: base(env, labelColumn: labelColumn, featureColumn: featureColumn, weights: weights, loss: new
LogLoss
(),
StandardTrainersCatalog.cs (1)
429
return new AveragedPerceptronTrainer(env, labelColumnName, featureColumnName, lossFunction ?? new
LogLoss
(), learningRate, decreaseLearningRate, l2Regularization, numberOfIterations);
12 references to LogLoss
Microsoft.ML.Data (2)
Utils\LossFunctions.cs (2)
13
[assembly: LoadableClass(
LogLoss
.Summary, typeof(
LogLoss
), null, typeof(SignatureClassificationLoss),
Microsoft.ML.StandardTrainers (10)
Standard\SdcaBinary.cs (5)
1688
/// If unspecified, <see cref="
LogLoss
"/> will be used.
1697
/// If unspecified, <see cref="
LogLoss
"/> will be used.
2360
/// The loss function to use. Default is <see cref="
LogLoss
"/>.
2436
/// <see cref="
LogLoss
"/> leads to logistic regression which naturally supports probability output. For other loss functions,
2454
if (!(Loss is
LogLoss
))
Standard\SdcaMulticlass.cs (3)
97
/// If unspecified, <see cref="
LogLoss
"/> will be used.
105
/// loss function is always <see cref="
LogLoss
"/>. In addition, <see cref="InternalLoss"/> and <see cref="LogLossFactory"/> are
618
/// If unspecified, <see cref="
LogLoss
"/> will be used.
StandardTrainersCatalog.cs (2)
246
/// <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function minimized in the training process. Defaults to <see cref="
LogLoss
"/> if not specified.</param>
350
/// <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function to be minimized. Defaults to <see cref="
LogLoss
"/> if not specified.</param>