10 instantiations of LogLoss
Microsoft.ML.Data (2)
Utils\LossFunctions.cs (2)
103public ISupportSdcaClassificationLoss CreateComponent(IHostEnvironment env) => new LogLoss(); 105IClassificationLoss 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()) 1987Loss = loss ?? new LogLoss(); 2282: base(env, labelColumn, featureColumn, weightColumn, new LogLoss(), maxIterations, initLearningRate, l2Weight) 2292: base(env, options, loss: new LogLoss(), doCalibration: false) 2363public IClassificationLoss LossFunction = new LogLoss();
Standard\SdcaMulticlass.cs (1)
538: base(env, labelColumn: labelColumn, featureColumn: featureColumn, weights: weights, loss: new LogLoss(),
StandardTrainersCatalog.cs (1)
429return 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, 2454if (!(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>