9 instantiations of Options
Microsoft.ML.AutoML (1)
SweepableEstimator\Estimators\Sdca.cs (1)
13
var option = new SdcaRegressionTrainer.
Options
()
Microsoft.ML.IntegrationTests (3)
Debugging.cs (2)
110
new SdcaRegressionTrainer.
Options
{ NumberOfThreads = 1, MaximumNumberOfIterations = 20 }));
177
new SdcaRegressionTrainer.
Options
{ NumberOfThreads = 1, MaximumNumberOfIterations = 20 }));
ONNX.cs (1)
146
new SdcaRegressionTrainer.
Options
{ NumberOfThreads = 1, MaximumNumberOfIterations = 10 }));
Microsoft.ML.Samples (1)
Dynamic\Trainers\Regression\SdcaWithOptions.cs (1)
28
var options = new SdcaRegressionTrainer.
Options
Microsoft.ML.Tests (4)
FeatureContributionTests.cs (1)
84
new SdcaRegressionTrainer.
Options
{ NumberOfThreads = 1, }), GetSparseDataset(numberOfInstances: 100), "SDCARegression");
OnnxConversionTest.cs (2)
79
.Append(mlContext.Regression.Trainers.Sdca(new SdcaRegressionTrainer.
Options
()
575
.Append(mlContext.Regression.Trainers.Sdca(new SdcaRegressionTrainer.
Options
()
TrainerEstimators\SdcaTests.cs (1)
40
new SdcaRegressionTrainer.
Options
{ ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 });
15 references to Options
Microsoft.ML.AutoML (3)
SweepableEstimator\Estimators\Sdca.cs (1)
13
var
option = new SdcaRegressionTrainer.Options()
TrainerExtensions\RegressionTrainerExtensions.cs (2)
177
var
options = TrainerExtensionUtil.CreateOptions<SdcaRegressionTrainer.
Options
>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.Samples (1)
Dynamic\Trainers\Regression\SdcaWithOptions.cs (1)
28
var
options = new SdcaRegressionTrainer.Options
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
289
CreateAndVerifyDefaultSearchSpace<SdcaRegressionTrainer.
Options
>();
Microsoft.ML.StandardTrainers (10)
Standard\SdcaRegression.cs (9)
16
[assembly: LoadableClass(SdcaRegressionTrainer.Summary, typeof(SdcaRegressionTrainer), typeof(SdcaRegressionTrainer.
Options
),
52
/// <seealso cref="StandardTrainersCatalog.Sdca(RegressionCatalog.RegressionTrainers, SdcaRegressionTrainer.
Options
)"/>
53
/// <seealso cref="
Options
"/>
54
public sealed class SdcaRegressionTrainer : SdcaTrainerBase<SdcaRegressionTrainer.
Options
, RegressionPredictionTransformer<LinearRegressionModelParameters>, LinearRegressionModelParameters>
84
/// Create the <see cref="
Options
"/> object.
128
internal SdcaRegressionTrainer(IHostEnvironment env,
Options
options, string featureColumn, string labelColumn, string weightColumn = null)
139
internal SdcaRegressionTrainer(IHostEnvironment env,
Options
options)
214
public static CommonOutputs.RegressionOutput TrainRegression(IHostEnvironment env, SdcaRegressionTrainer.
Options
input)
221
return TrainerEntryPointsUtils.Train<SdcaRegressionTrainer.
Options
, CommonOutputs.RegressionOutput>(host, input,
StandardTrainersCatalog.cs (1)
178
SdcaRegressionTrainer.
Options
options)