15 instantiations of Options
Microsoft.ML.AutoML (1)
SweepableEstimator\Estimators\Sdca.cs (1)
31
var option = new SdcaMaximumEntropyMulticlassTrainer.
Options
()
Microsoft.ML.IntegrationTests (2)
Evaluation.cs (1)
155
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ NumberOfThreads = 1 }));
IntrospectiveTraining.cs (1)
434
new SdcaMaximumEntropyMulticlassTrainer.
Options
Microsoft.ML.PerformanceTests (1)
PredictionEngineBench.cs (1)
60
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ NumberOfThreads = 1, ConvergenceTolerance = 1e-2f, }));
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)
36
var options = new SdcaMaximumEntropyMulticlassTrainer.
Options
Microsoft.ML.Tests (10)
Scenarios\Api\Estimators\DecomposableTrainAndPredict.cs (1)
36
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1, }))
Scenarios\Api\Estimators\Extensibility.cs (1)
45
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1 }))
Scenarios\Api\Estimators\PredictAndMetadata.cs (2)
34
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1, }));
83
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ MaximumNumberOfIterations = 100, Shuffle = true, NumberOfThreads = 1, }));
Scenarios\IrisPlantClassificationTests.cs (1)
37
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ NumberOfThreads = 1 }));
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
41
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ NumberOfThreads = 1 }))
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
35
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ NumberOfThreads = 1 }));
TrainerEstimators\SdcaTests.cs (3)
46
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 });
176
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ LabelColumnName = "LabelIndex", NumberOfThreads = 1 }));
180
new SdcaMaximumEntropyMulticlassTrainer.
Options
{ LabelColumnName = "LabelIndex", ExampleWeightColumnName = "Weight", NumberOfThreads = 1 }));
17 references to Options
Microsoft.ML.AutoML (3)
SweepableEstimator\Estimators\Sdca.cs (1)
31
var
option = new SdcaMaximumEntropyMulticlassTrainer.Options()
TrainerExtensions\MultiTrainerExtensions.cs (2)
113
var
options = TrainerExtensionUtil.CreateOptions<SdcaMaximumEntropyMulticlassTrainer.
Options
>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)
36
var
options = new SdcaMaximumEntropyMulticlassTrainer.Options
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
286
CreateAndVerifyDefaultSearchSpace<SdcaMaximumEntropyMulticlassTrainer.
Options
>();
Microsoft.ML.StandardTrainers (12)
Standard\SdcaMulticlass.cs (11)
19
[assembly: LoadableClass(SdcaMaximumEntropyMulticlassTrainer.Summary, typeof(SdcaMaximumEntropyMulticlassTrainer), typeof(SdcaMaximumEntropyMulticlassTrainer.
Options
),
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
543
internal SdcaMaximumEntropyMulticlassTrainer(IHostEnvironment env,
Options
options,
549
internal SdcaMaximumEntropyMulticlassTrainer(IHostEnvironment env,
Options
options)
675
public static CommonOutputs.MulticlassClassificationOutput TrainMulticlass(IHostEnvironment env, SdcaMaximumEntropyMulticlassTrainer.
Options
input)
682
return TrainerEntryPointsUtils.Train<SdcaMaximumEntropyMulticlassTrainer.
Options
, CommonOutputs.MulticlassClassificationOutput>(host, input,
StandardTrainersCatalog.cs (1)
334
SdcaMaximumEntropyMulticlassTrainer.
Options
options)