8 instantiations of Options
Microsoft.ML.IntegrationTests (1)
Training.cs (1)
410
new SymbolicSgdLogisticRegressionBinaryTrainer.
Options
Microsoft.ML.Mkl.Components (1)
MklComponentsCatalog.cs (1)
97
var options = new SymbolicSgdLogisticRegressionBinaryTrainer.
Options
Microsoft.ML.Samples (1)
Dynamic\Trainers\BinaryClassification\SymbolicSgdLogisticRegressionWithOptions.cs (1)
31
var options = new SymbolicSgdLogisticRegressionBinaryTrainer.
Options
()
Microsoft.ML.Tests (5)
FeatureContributionTests.cs (1)
178
new SymbolicSgdLogisticRegressionBinaryTrainer.
Options
()
Scenarios\Api\Estimators\SimpleTrainAndPredict.cs (1)
68
.Append(ml.BinaryClassification.Trainers.SymbolicSgdLogisticRegression(new SymbolicSgdLogisticRegressionBinaryTrainer.
Options
TrainerEstimators\SymSgdClassificationTests.cs (3)
20
var trainer = new SymbolicSgdLogisticRegressionBinaryTrainer(Env, new SymbolicSgdLogisticRegressionBinaryTrainer.
Options
());
39
var withInitPredictor = new SymbolicSgdLogisticRegressionBinaryTrainer(Env, new SymbolicSgdLogisticRegressionBinaryTrainer.
Options
()).Fit(transformedData,
43
var notInitPredictor = new SymbolicSgdLogisticRegressionBinaryTrainer(Env, new SymbolicSgdLogisticRegressionBinaryTrainer.
Options
()).Fit(transformedData);
14 references to Options
Microsoft.ML.AutoML (2)
TrainerExtensions\BinaryTrainerExtensions.cs (2)
225
var
options = TrainerExtensionUtil.CreateOptions<SymbolicSgdLogisticRegressionBinaryTrainer.
Options
>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.Mkl.Components (11)
MklComponentsCatalog.cs (3)
97
var
options = new SymbolicSgdLogisticRegressionBinaryTrainer.Options
112
/// <param name="options">Algorithm advanced options. See <see cref="SymbolicSgdLogisticRegressionBinaryTrainer.
Options
"/>.</param>
122
SymbolicSgdLogisticRegressionBinaryTrainer.
Options
options)
SymSgdClassificationTrainer.cs (8)
22
[assembly: LoadableClass(typeof(SymbolicSgdLogisticRegressionBinaryTrainer), typeof(SymbolicSgdLogisticRegressionBinaryTrainer.
Options
),
70
/// <seealso cref="Microsoft.ML.MklComponentsCatalog.SymbolicSgdLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.
Options
)"/>
71
/// <seealso cref="
Options
"/>
80
/// <see cref="Microsoft.ML.MklComponentsCatalog.SymbolicSgdLogisticRegression(BinaryClassificationCatalog.BinaryClassificationTrainers,
Options
)"/>.
173
private readonly
Options
_options;
240
internal SymbolicSgdLogisticRegressionBinaryTrainer(IHostEnvironment env,
Options
options)
286
internal static CommonOutputs.BinaryClassificationOutput TrainSymSgd(IHostEnvironment env,
Options
options)
293
return TrainerEntryPointsUtils.Train<
Options
, CommonOutputs.BinaryClassificationOutput>(host, options,
Microsoft.ML.Samples (1)
Dynamic\Trainers\BinaryClassification\SymbolicSgdLogisticRegressionWithOptions.cs (1)
31
var
options = new SymbolicSgdLogisticRegressionBinaryTrainer.Options()