3 instantiations of LbfgsMaximumEntropyMulticlassTrainer
Microsoft.ML.StandardTrainers (3)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
405() => new LbfgsMaximumEntropyMulticlassTrainer(host, input),
StandardTrainersCatalog.cs (2)
662return new LbfgsMaximumEntropyMulticlassTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, l1Regularization, l2Regularization, optimizationTolerance, historySize, enforceNonNegativity); 683return new LbfgsMaximumEntropyMulticlassTrainer(env, options);
49 references to LbfgsMaximumEntropyMulticlassTrainer
Microsoft.ML.AutoML (6)
API\AutoCatalog.cs (3)
415/// <param name="useLbfgsMaximumEntrophy">true if use <see cref="LbfgsMaximumEntropyMulticlassTrainer"/> as available trainer.</param> 429/// <param name="lbfgsMaximumEntrophySearchSpace">if provided, use it as search space for <see cref="LbfgsMaximumEntropyMulticlassTrainer"/>, otherwise the default search space will be used.</param> 430/// <param name="lbfgsLogisticRegressionSearchSpace">if provided, use it as search space for <see cref="LbfgsMaximumEntropyMulticlassTrainer"/>, otherwise the default search space will be used.</param>
API\MulticlassClassificationExperiment.cs (1)
101/// See <see cref="LbfgsMaximumEntropyMulticlassTrainer"/>.
SweepableEstimator\Estimators\Lbfgs.cs (1)
13var option = new LbfgsMaximumEntropyMulticlassTrainer.Options()
TrainerExtensions\MultiTrainerExtensions.cs (1)
222var options = TrainerExtensionUtil.CreateOptions<LbfgsMaximumEntropyMulticlassTrainer.Options>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.Core.Tests (3)
UnitTests\TestEntryPoints.cs (3)
2014var mlr = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy(); 4259var mcLrInput = new LbfgsMaximumEntropyMulticlassTrainer.Options 4266var mcModel = LbfgsMaximumEntropyMulticlassTrainer.TrainMulticlass(Env, mcLrInput).PredictorModel;
Microsoft.ML.IntegrationTests (2)
Training.cs (2)
270var trainer = mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy( 271new LbfgsMaximumEntropyMulticlassTrainer.Options { NumberOfThreads = 1, MaximumNumberOfIterations = 10 });
Microsoft.ML.Predictor.Tests (4)
TestPredictors.cs (4)
815LbfgsMaximumEntropyMulticlassTrainer.TrainMulticlass(Env, new LbfgsMaximumEntropyMulticlassTrainer.Options() 823LbfgsMaximumEntropyMulticlassTrainer.TrainMulticlass(Env, new LbfgsMaximumEntropyMulticlassTrainer.Options()
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (1)
28var options = new LbfgsMaximumEntropyMulticlassTrainer.Options
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
293CreateAndVerifyDefaultSearchSpace<LbfgsMaximumEntropyMulticlassTrainer.Options>();
Microsoft.ML.StandardTrainers (26)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (20)
22[assembly: LoadableClass(typeof(LbfgsMaximumEntropyMulticlassTrainer), typeof(LbfgsMaximumEntropyMulticlassTrainer.Options), 24LbfgsMaximumEntropyMulticlassTrainer.UserNameValue, 25LbfgsMaximumEntropyMulticlassTrainer.LoadNameValue, 27LbfgsMaximumEntropyMulticlassTrainer.ShortName, 38[assembly: LoadableClass(typeof(void), typeof(LbfgsMaximumEntropyMulticlassTrainer), null, typeof(SignatureEntryPointModule), LbfgsMaximumEntropyMulticlassTrainer.LoadNameValue)] 87/// <seealso cref="Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(MulticlassClassificationCatalog.MulticlassClassificationTrainers, LbfgsMaximumEntropyMulticlassTrainer.Options)"/> 89public 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)"/>. 130/// Initializes a new instance of <see cref="LbfgsMaximumEntropyMulticlassTrainer"/>. 159/// Initializes a new instance of <see cref="LbfgsMaximumEntropyMulticlassTrainer"/>. 387/// Continues the training of a <see cref="LbfgsMaximumEntropyMulticlassTrainer"/> using an already trained <paramref name="modelParameters"/> and returns 394Desc = LbfgsMaximumEntropyMulticlassTrainer.Summary, 395UserName = LbfgsMaximumEntropyMulticlassTrainer.UserNameValue, 396ShortName = LbfgsMaximumEntropyMulticlassTrainer.ShortName)] 397internal static CommonOutputs.MulticlassClassificationOutput TrainMulticlass(IHostEnvironment env, LbfgsMaximumEntropyMulticlassTrainer.Options input) 404return TrainerEntryPointsUtils.Train<LbfgsMaximumEntropyMulticlassTrainer.Options, CommonOutputs.MulticlassClassificationOutput>(host, input, 1271private protected override string GetTrainerName() => nameof(LbfgsMaximumEntropyMulticlassTrainer);
StandardTrainersCatalog.cs (6)
633/// Create <see cref="LbfgsMaximumEntropyMulticlassTrainer"/>, which predicts a target using a maximum entropy classification model trained with the L-BFGS method. 642/// <param name="historySize">Memory size for <see cref="Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer"/>. Low=faster, less accurate.</param> 650public static LbfgsMaximumEntropyMulticlassTrainer LbfgsMaximumEntropy(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, 666/// Create <see cref="LbfgsMaximumEntropyMulticlassTrainer"/> with advanced options, which predicts a target using a maximum entropy classification model trained with the L-BFGS method. 676public static LbfgsMaximumEntropyMulticlassTrainer LbfgsMaximumEntropy(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, 677LbfgsMaximumEntropyMulticlassTrainer.Options options)
Microsoft.ML.Tests (6)
OnnxConversionTest.cs (1)
631Append(mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy(new LbfgsMaximumEntropyMulticlassTrainer.Options() { NumberOfThreads = 1 }));
PermutationFeatureImportanceTests.cs (1)
598new LbfgsMaximumEntropyMulticlassTrainer.Options { MaximumNumberOfIterations = 1000 }).Fit(data);
TrainerEstimators\LbfgsTests.cs (4)
36var trainer = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy(); 166var trainer = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy(); 185var trainer = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy(new LbfgsMaximumEntropyMulticlassTrainer.Options