3 instantiations of SdcaMaximumEntropyMulticlassTrainer
Microsoft.ML.StandardTrainers (3)
Standard\SdcaMulticlass.cs (1)
683() => new SdcaMaximumEntropyMulticlassTrainer(host, input),
StandardTrainersCatalog.cs (2)
319return new SdcaMaximumEntropyMulticlassTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, l2Regularization, l1Regularization, maximumNumberOfIterations); 340return new SdcaMaximumEntropyMulticlassTrainer(env, options);
45 references to SdcaMaximumEntropyMulticlassTrainer
Microsoft.ML.AutoML (4)
API\AutoCatalog.cs (1)
417/// <param name="useSdcaMaximumEntrophy">true if use <see cref="SdcaMaximumEntropyMulticlassTrainer"/> as available trainer.</param>
API\MulticlassClassificationExperiment.cs (1)
111/// See <see cref="SdcaMaximumEntropyMulticlassTrainer"/>.
SweepableEstimator\Estimators\Sdca.cs (1)
31var option = new SdcaMaximumEntropyMulticlassTrainer.Options()
TrainerExtensions\MultiTrainerExtensions.cs (1)
113var options = TrainerExtensionUtil.CreateOptions<SdcaMaximumEntropyMulticlassTrainer.Options>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.IntegrationTests (2)
Evaluation.cs (1)
155new SdcaMaximumEntropyMulticlassTrainer.Options { NumberOfThreads = 1 }));
IntrospectiveTraining.cs (1)
434new SdcaMaximumEntropyMulticlassTrainer.Options
Microsoft.ML.PerformanceTests (3)
PredictionEngineBench.cs (1)
60new SdcaMaximumEntropyMulticlassTrainer.Options { NumberOfThreads = 1, ConvergenceTolerance = 1e-2f, }));
StochasticDualCoordinateAscentClassifierBench.cs (1)
118var trainer = _mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy();
Text\MultiClassClassification.cs (1)
87var environment = EnvironmentFactory.CreateClassificationEnvironment<TextLoader, OneHotEncodingTransformer, SdcaMaximumEntropyMulticlassTrainer, MaximumEntropyModelParameters>();
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)
36var options = new SdcaMaximumEntropyMulticlassTrainer.Options
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
286CreateAndVerifyDefaultSearchSpace<SdcaMaximumEntropyMulticlassTrainer.Options>();
Microsoft.ML.StandardTrainers (23)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
490/// This constructor is called by <see cref="SdcaMaximumEntropyMulticlassTrainer"/> to create the predictor.
Standard\SdcaMulticlass.cs (17)
19[assembly: LoadableClass(SdcaMaximumEntropyMulticlassTrainer.Summary, typeof(SdcaMaximumEntropyMulticlassTrainer), typeof(SdcaMaximumEntropyMulticlassTrainer.Options), 21SdcaMaximumEntropyMulticlassTrainer.UserNameValue, 22SdcaMaximumEntropyMulticlassTrainer.LoadNameValue, 23SdcaMaximumEntropyMulticlassTrainer.ShortName)] 74/// <seealso cref="Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(MulticlassClassificationCatalog.MulticlassClassificationTrainers, SdcaMaximumEntropyMulticlassTrainer.Options)"/> 76/// <seealso cref="Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options"/> 104/// a customized loss passed in. <see cref="SdcaMaximumEntropyMulticlassTrainer.Options"/> cannot set this field because its 518/// <seealso cref="Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(MulticlassClassificationCatalog.MulticlassClassificationTrainers, SdcaMaximumEntropyMulticlassTrainer.Options)"/> 520/// <seealso cref="Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options"/> 524/// <see cref="Options"/> for <see cref="SdcaMaximumEntropyMulticlassTrainer"/> as used in 672Desc = SdcaMaximumEntropyMulticlassTrainer.Summary, 673UserName = SdcaMaximumEntropyMulticlassTrainer.UserNameValue, 674ShortName = SdcaMaximumEntropyMulticlassTrainer.ShortName)] 675public static CommonOutputs.MulticlassClassificationOutput TrainMulticlass(IHostEnvironment env, SdcaMaximumEntropyMulticlassTrainer.Options input) 682return TrainerEntryPointsUtils.Train<SdcaMaximumEntropyMulticlassTrainer.Options, CommonOutputs.MulticlassClassificationOutput>(host, input,
StandardTrainersCatalog.cs (5)
294/// Create <see cref="SdcaMaximumEntropyMulticlassTrainer"/>, which predicts a target using a maximum entropy classification model trained with a coordinate descent method. 309public static SdcaMaximumEntropyMulticlassTrainer SdcaMaximumEntropy(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, 323/// Create <see cref="SdcaMaximumEntropyMulticlassTrainer"/> with advanced options, which predicts a target using a maximum entropy classification model trained with a coordinate descent method. 333public static SdcaMaximumEntropyMulticlassTrainer SdcaMaximumEntropy(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, 334SdcaMaximumEntropyMulticlassTrainer.Options options)
Microsoft.ML.Tests (11)
Scenarios\Api\Estimators\DecomposableTrainAndPredict.cs (1)
36new SdcaMaximumEntropyMulticlassTrainer.Options { MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1, }))
Scenarios\Api\Estimators\Extensibility.cs (1)
45new SdcaMaximumEntropyMulticlassTrainer.Options { MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1 }))
Scenarios\Api\Estimators\PredictAndMetadata.cs (2)
34new SdcaMaximumEntropyMulticlassTrainer.Options { MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1, })); 83new SdcaMaximumEntropyMulticlassTrainer.Options { MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1, }));
Scenarios\IrisPlantClassificationTests.cs (1)
37new SdcaMaximumEntropyMulticlassTrainer.Options { NumberOfThreads = 1 }));
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
41new SdcaMaximumEntropyMulticlassTrainer.Options { NumberOfThreads = 1 }))
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
35new SdcaMaximumEntropyMulticlassTrainer.Options { NumberOfThreads = 1 }));
TrainerEstimators\SdcaTests.cs (4)
45var mcTrainer = ML.MulticlassClassification.Trainers.SdcaMaximumEntropy( 46new SdcaMaximumEntropyMulticlassTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 }); 176new SdcaMaximumEntropyMulticlassTrainer.Options { LabelColumnName = "LabelIndex", NumberOfThreads = 1 })); 180new SdcaMaximumEntropyMulticlassTrainer.Options { LabelColumnName = "LabelIndex", ExampleWeightColumnName = "Weight", NumberOfThreads = 1 }));