2 instantiations of SgdNonCalibratedTrainer
Microsoft.ML.StandardTrainers (2)
StandardTrainersCatalog.cs (2)
108return new SgdNonCalibratedTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, 132return new SgdNonCalibratedTrainer(env, options);
17 references to SgdNonCalibratedTrainer
Microsoft.ML.Samples (3)
Dynamic\Trainers\BinaryClassification\SgdNonCalibrated.cs (1)
27var pipeline = mlContext.BinaryClassification.Trainers
Dynamic\Trainers\BinaryClassification\SgdNonCalibratedWithOptions.cs (2)
28var options = new SgdNonCalibratedTrainer.Options 36var pipeline = mlContext.BinaryClassification.Trainers
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
283CreateAndVerifyDefaultSearchSpace<SgdNonCalibratedTrainer.Options>();
Microsoft.ML.StandardTrainers (11)
Standard\SdcaBinary.cs (3)
2348/// <seealso cref="StandardTrainersCatalog.SgdNonCalibrated(BinaryClassificationCatalog.BinaryClassificationTrainers, SgdNonCalibratedTrainer.Options)"/> 2354/// Options for the <see cref="SgdNonCalibratedTrainer"/> as used in 2379/// Initializes a new instance of <see cref="SgdNonCalibratedTrainer"/>
StandardTrainersCatalog.cs (8)
79/// Create <see cref="Trainers.SgdNonCalibratedTrainer"/>, which predicts a target using a linear classification model. 97public static SgdNonCalibratedTrainer SgdNonCalibrated(this BinaryClassificationCatalog.BinaryClassificationTrainers catalog, 102int numberOfIterations = SgdNonCalibratedTrainer.Options.Defaults.NumberOfIterations, 103double learningRate = SgdNonCalibratedTrainer.Options.Defaults.LearningRate, 104float l2Regularization = SgdNonCalibratedTrainer.Options.Defaults.L2Regularization) 113/// Create <see cref="Trainers.SgdNonCalibratedTrainer"/> with advanced options, which predicts a target using a linear classification model. 125public static SgdNonCalibratedTrainer SgdNonCalibrated(this BinaryClassificationCatalog.BinaryClassificationTrainers catalog, 126SgdNonCalibratedTrainer.Options options)
Microsoft.ML.Tests (2)
TrainerEstimators\TrainerEstimators.cs (2)
125ML.BinaryClassification.Trainers.SgdNonCalibrated(new Trainers.SgdNonCalibratedTrainer.Options() { LossFunction = new HingeLoss() }) }; 127foreach (var trainer in trainers)