9 instantiations of Options
Microsoft.ML.AutoML (1)
SweepableEstimator\Estimators\Lbfgs.cs (1)
13
var option = new LbfgsMaximumEntropyMulticlassTrainer.
Options
()
Microsoft.ML.Core.Tests (1)
UnitTests\TestEntryPoints.cs (1)
4259
var mcLrInput = new LbfgsMaximumEntropyMulticlassTrainer.
Options
Microsoft.ML.IntegrationTests (1)
Training.cs (1)
271
new LbfgsMaximumEntropyMulticlassTrainer.
Options
{ NumberOfThreads = 1, MaximumNumberOfIterations = 10 });
Microsoft.ML.Predictor.Tests (2)
TestPredictors.cs (2)
815
LbfgsMaximumEntropyMulticlassTrainer.TrainMulticlass(Env, new LbfgsMaximumEntropyMulticlassTrainer.
Options
()
823
LbfgsMaximumEntropyMulticlassTrainer.TrainMulticlass(Env, new LbfgsMaximumEntropyMulticlassTrainer.
Options
()
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (1)
28
var options = new LbfgsMaximumEntropyMulticlassTrainer.
Options
Microsoft.ML.Tests (3)
OnnxConversionTest.cs (1)
631
Append(mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy(new LbfgsMaximumEntropyMulticlassTrainer.
Options
() { NumberOfThreads = 1 }));
PermutationFeatureImportanceTests.cs (1)
598
new LbfgsMaximumEntropyMulticlassTrainer.
Options
{ MaximumNumberOfIterations = 1000 }).Fit(data);
TrainerEstimators\LbfgsTests.cs (1)
185
var trainer = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy(new LbfgsMaximumEntropyMulticlassTrainer.
Options
21 references to Options
Microsoft.ML.AutoML (3)
SweepableEstimator\Estimators\Lbfgs.cs (1)
13
var
option = new LbfgsMaximumEntropyMulticlassTrainer.Options()
TrainerExtensions\MultiTrainerExtensions.cs (2)
222
var
options = TrainerExtensionUtil.CreateOptions<LbfgsMaximumEntropyMulticlassTrainer.
Options
>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.Core.Tests (1)
UnitTests\TestEntryPoints.cs (1)
4259
var
mcLrInput = new LbfgsMaximumEntropyMulticlassTrainer.Options
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (1)
28
var
options = new LbfgsMaximumEntropyMulticlassTrainer.Options
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
293
CreateAndVerifyDefaultSearchSpace<LbfgsMaximumEntropyMulticlassTrainer.
Options
>();
Microsoft.ML.StandardTrainers (15)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (14)
22
[assembly: LoadableClass(typeof(LbfgsMaximumEntropyMulticlassTrainer), typeof(LbfgsMaximumEntropyMulticlassTrainer.
Options
),
87
/// <seealso cref="Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(MulticlassClassificationCatalog.MulticlassClassificationTrainers, LbfgsMaximumEntropyMulticlassTrainer.
Options
)"/>
88
/// <seealso cref="
Options
"/>
89
public sealed class LbfgsMaximumEntropyMulticlassTrainer : LbfgsTrainerBase<LbfgsMaximumEntropyMulticlassTrainer.
Options
,
98
/// <see cref="
Options
"/> for <see cref="LbfgsMaximumEntropyMulticlassTrainer"/> as used in
99
/// <see cref="Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(MulticlassClassificationCatalog.MulticlassClassificationTrainers, LbfgsMaximumEntropyMulticlassTrainer.
Options
)"/>.
145
float l1Weight =
Options
.Defaults.L1Regularization,
146
float l2Weight =
Options
.Defaults.L2Regularization,
147
float optimizationTolerance =
Options
.Defaults.OptimizationTolerance,
148
int memorySize =
Options
.Defaults.HistorySize,
149
bool enforceNoNegativity =
Options
.Defaults.EnforceNonNegativity)
161
internal LbfgsMaximumEntropyMulticlassTrainer(IHostEnvironment env,
Options
options)
397
internal static CommonOutputs.MulticlassClassificationOutput TrainMulticlass(IHostEnvironment env, LbfgsMaximumEntropyMulticlassTrainer.
Options
input)
404
return TrainerEntryPointsUtils.Train<LbfgsMaximumEntropyMulticlassTrainer.
Options
, CommonOutputs.MulticlassClassificationOutput>(host, input,
StandardTrainersCatalog.cs (1)
677
LbfgsMaximumEntropyMulticlassTrainer.
Options
options)