2 instantiations of SdcaNonCalibratedBinaryTrainer
Microsoft.ML.StandardTrainers (2)
StandardTrainersCatalog.cs (2)
268return new SdcaNonCalibratedBinaryTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, lossFunction, l2Regularization, l1Regularization, maximumNumberOfIterations); 290return new SdcaNonCalibratedBinaryTrainer(env, options);
32 references to SdcaNonCalibratedBinaryTrainer
Microsoft.ML.IntegrationTests (2)
Evaluation.cs (1)
68new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1 }));
IntrospectiveTraining.cs (1)
228new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1 }));
Microsoft.ML.PerformanceTests (4)
PredictionEngineBench.cs (3)
95new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1, ConvergenceTolerance = 1e-2f, })); 128var pipeline = env.BinaryClassification.Trainers.SdcaNonCalibrated( 129new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1, ConvergenceTolerance = 1e-2f, });
TextPredictionEngineCreation.cs (1)
31new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1 }));
Microsoft.ML.Samples (3)
Dynamic\Trainers\BinaryClassification\SdcaNonCalibrated.cs (1)
35var pipeline = mlContext.BinaryClassification.Trainers
Dynamic\Trainers\BinaryClassification\SdcaNonCalibratedWithOptions.cs (2)
36var options = new SdcaNonCalibratedBinaryTrainer.Options() 49var pipeline = mlContext.BinaryClassification.Trainers
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
287CreateAndVerifyDefaultSearchSpace<SdcaNonCalibratedBinaryTrainer.Options>();
Microsoft.ML.StandardTrainers (8)
Standard\SdcaBinary.cs (3)
1439/// (1) <see cref="SdcaNonCalibratedBinaryTrainer"/> supports general loss functions and returns <see cref="LinearBinaryModelParameters"/>. 1675/// <seealso cref="Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options)"/> 1680/// Options for the <see cref="SdcaNonCalibratedBinaryTrainer"/>.
StandardTrainersCatalog.cs (5)
240/// Create <see cref="SdcaNonCalibratedBinaryTrainer"/>, which predicts a target using a linear classification model. 256public static SdcaNonCalibratedBinaryTrainer SdcaNonCalibrated( 272/// Create <see cref="SdcaNonCalibratedBinaryTrainer"/> with advanced options, which predicts a target using a linear classification model trained over boolean label data. 282public static SdcaNonCalibratedBinaryTrainer SdcaNonCalibrated( 284SdcaNonCalibratedBinaryTrainer.Options options)
Microsoft.ML.Tests (14)
FeatureContributionTests.cs (1)
160new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1, }), GetSparseDataset(TaskType.BinaryClassification, 100), "SDCABinary", precision: 5);
Scenarios\Api\Estimators\MultithreadedPrediction.cs (1)
34new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1 }));
Scenarios\Api\Estimators\SimpleTrainAndPredict.cs (1)
32new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1 }));
Scenarios\Api\Estimators\TrainWithInitialPredictor.cs (2)
35var trainer = ml.BinaryClassification.Trainers.SdcaNonCalibrated( 36new SdcaNonCalibratedBinaryTrainer.Options { NumberOfThreads = 1 });
TrainerEstimators\MetalinearEstimators.cs (6)
46var sdcaTrainer = ML.BinaryClassification.Trainers.SdcaNonCalibrated( 47new SdcaNonCalibratedBinaryTrainer.Options { MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1 }); 64var sdcaTrainer = ML.BinaryClassification.Trainers.SdcaNonCalibrated( 65new SdcaNonCalibratedBinaryTrainer.Options { MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1 }); 87var sdcaTrainer = ML.BinaryClassification.Trainers.SdcaNonCalibrated( 88new SdcaNonCalibratedBinaryTrainer.Options
TrainerEstimators\SdcaTests.cs (3)
35var nonCalibratedBinaryTrainer = ML.BinaryClassification.Trainers.SdcaNonCalibrated( 36new SdcaNonCalibratedBinaryTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 }); 234var pipeline = mlContext.BinaryClassification.Trainers.SdcaNonCalibrated(