2 instantiations of SdcaNonCalibratedMulticlassTrainer
Microsoft.ML.StandardTrainers (2)
StandardTrainersCatalog.cs (2)
371return new SdcaNonCalibratedMulticlassTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, lossFunction, l2Regularization, l1Regularization, maximumNumberOfIterations); 392return new SdcaNonCalibratedMulticlassTrainer(env, options);
15 references to SdcaNonCalibratedMulticlassTrainer
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibratedWithOptions.cs (1)
36var options = new SdcaNonCalibratedMulticlassTrainer.Options
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
288CreateAndVerifyDefaultSearchSpace<SdcaNonCalibratedMulticlassTrainer.Options>();
Microsoft.ML.StandardTrainers (11)
Standard\SdcaMulticlass.cs (6)
77/// <seealso cref="Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(MulticlassClassificationCatalog.MulticlassClassificationTrainers, SdcaNonCalibratedMulticlassTrainer.Options)"/> 79/// <seealso cref="Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options"/> 103/// Internal state of <see cref="SdcaNonCalibratedMulticlassTrainer.Options.Loss"/> or storage of 603/// <seealso cref="Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(MulticlassClassificationCatalog.MulticlassClassificationTrainers, SdcaNonCalibratedMulticlassTrainer.Options)"/> 605/// <seealso cref="Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options"/> 609/// <see cref="Options"/> for <see cref="SdcaNonCalibratedMulticlassTrainer"/> as used in
StandardTrainersCatalog.cs (5)
344/// Create <see cref="SdcaNonCalibratedMulticlassTrainer"/>, which predicts a target using a linear multiclass classification model trained with a coordinate descent method. 360public static SdcaNonCalibratedMulticlassTrainer SdcaNonCalibrated(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, 375/// Create <see cref="SdcaNonCalibratedMulticlassTrainer"/> with advanced options, which predicts a target using a linear multiclass classification model trained with a coordinate descent method. 385public static SdcaNonCalibratedMulticlassTrainer SdcaNonCalibrated(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, 386SdcaNonCalibratedMulticlassTrainer.Options options)
Microsoft.ML.Tests (2)
TrainerEstimators\SdcaTests.cs (2)
49var mcTrainerNonCalibrated = ML.MulticlassClassification.Trainers.SdcaNonCalibrated( 50new SdcaNonCalibratedMulticlassTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 });