13 writes to ConvergenceTolerance
Microsoft.ML.PerformanceTests (3)
PredictionEngineBench.cs (3)
60new SdcaMaximumEntropyMulticlassTrainer.Options { NumberOfThreads = 1, ConvergenceTolerance = 1e-2f, })); 95new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1, ConvergenceTolerance = 1e-2f, })); 129new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1, ConvergenceTolerance = 1e-2f, });
Microsoft.ML.Samples (4)
Dynamic\Trainers\BinaryClassification\SdcaLogisticRegressionWithOptions.cs (1)
39ConvergenceTolerance = 0.05f,
Dynamic\Trainers\BinaryClassification\SdcaNonCalibratedWithOptions.cs (1)
41ConvergenceTolerance = 0.05f,
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)
39ConvergenceTolerance = 0.05f,
Dynamic\Trainers\Regression\SdcaWithOptions.cs (1)
34ConvergenceTolerance = 0.02f,
Microsoft.ML.StandardTrainers (1)
Standard\SdcaRegression.cs (1)
89ConvergenceTolerance = 0.01f;
Microsoft.ML.Tests (5)
TrainerEstimators\SdcaTests.cs (5)
32new SdcaLogisticRegressionBinaryTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 }); 36new SdcaNonCalibratedBinaryTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 }); 40new SdcaRegressionTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 }); 46new SdcaMaximumEntropyMulticlassTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 }); 50new SdcaNonCalibratedMulticlassTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 });
5 references to ConvergenceTolerance
Microsoft.ML.StandardTrainers (5)
Standard\SdcaBinary.cs (4)
246env.CheckUserArg(ConvergenceTolerance > 0 && ConvergenceTolerance <= 1, nameof(ConvergenceTolerance), "Convergence tolerance must be positive and no larger than 1."); 1009bool converged = dualityGap / newLoss < SdcaTrainerOptions.ConvergenceTolerance;
Standard\SdcaMulticlass.cs (1)
441bool converged = dualityGap / newLoss < SdcaTrainerOptions.ConvergenceTolerance;