3 instantiations of LbfgsPoissonRegressionTrainer
Microsoft.ML.StandardTrainers (3)
Standard\PoissonRegression\PoissonRegression.cs (1)
220() => new LbfgsPoissonRegressionTrainer(host, input),
StandardTrainersCatalog.cs (2)
609return new LbfgsPoissonRegressionTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, l1Regularization, l2Regularization, optimizationTolerance, historySize, enforceNonNegativity); 629return new LbfgsPoissonRegressionTrainer(env, options);
32 references to LbfgsPoissonRegressionTrainer
Microsoft.ML.AutoML (5)
API\AutoCatalog.cs (2)
538/// <param name="useLbfgsPoissonRegression">true if use <see cref="LbfgsPoissonRegressionTrainer"/> as available trainer.</param> 548/// <param name="lbfgsPoissonRegressionSearchSpace">if provided, use it as search space for <see cref="LbfgsPoissonRegressionTrainer"/>, otherwise the default search space will be used.</param>
API\RegressionExperiment.cs (1)
101/// See <see cref="LbfgsPoissonRegressionTrainer"/>.
SweepableEstimator\Estimators\Lbfgs.cs (1)
31var option = new LbfgsPoissonRegressionTrainer.Options()
TrainerExtensions\RegressionTrainerExtensions.cs (1)
155var options = TrainerExtensionUtil.CreateOptions<LbfgsPoissonRegressionTrainer.Options>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.IntegrationTests (2)
Training.cs (2)
365var trainer = mlContext.Regression.Trainers.LbfgsPoissonRegression( 366new LbfgsPoissonRegressionTrainer.Options { NumberOfThreads = 1, MaximumNumberOfIterations = 100 });
Microsoft.ML.Samples (3)
Dynamic\Trainers\Regression\LbfgsPoissonRegression.cs (1)
27var pipeline = mlContext.Regression.Trainers.
Dynamic\Trainers\Regression\LbfgsPoissonRegressionWithOptions.cs (2)
28var options = new LbfgsPoissonRegressionTrainer.Options 43var pipeline =
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
294CreateAndVerifyDefaultSearchSpace<LbfgsPoissonRegressionTrainer.Options>();
Microsoft.ML.StandardTrainers (19)
Standard\PoissonRegression\PoissonRegression.cs (14)
15[assembly: LoadableClass(LbfgsPoissonRegressionTrainer.Summary, typeof(LbfgsPoissonRegressionTrainer), typeof(LbfgsPoissonRegressionTrainer.Options), 17LbfgsPoissonRegressionTrainer.UserNameValue, 18LbfgsPoissonRegressionTrainer.LoadNameValue, 21LbfgsPoissonRegressionTrainer.ShortName)] 23[assembly: LoadableClass(typeof(void), typeof(LbfgsPoissonRegressionTrainer), null, typeof(SignatureEntryPointModule), LbfgsPoissonRegressionTrainer.LoadNameValue)] 56/// <seealso cref="StandardTrainersCatalog.LbfgsPoissonRegression(RegressionCatalog.RegressionTrainers, LbfgsPoissonRegressionTrainer.Options)"/> 58public sealed class LbfgsPoissonRegressionTrainer : LbfgsTrainerBase<LbfgsPoissonRegressionTrainer.Options, RegressionPredictionTransformer<PoissonRegressionModelParameters>, PoissonRegressionModelParameters> 66/// Options for the <see cref="LbfgsPoissonRegressionTrainer"/> as used in 76/// Initializes a new instance of <see cref="LbfgsPoissonRegressionTrainer"/> 104/// Initializes a new instance of <see cref="LbfgsPoissonRegressionTrainer"/> 131/// Continues the training of a <see cref="LbfgsPoissonRegressionTrainer"/> using an already trained <paramref name="linearModel"/> and returns
StandardTrainersCatalog.cs (5)
580/// Create <see cref="LbfgsPoissonRegressionTrainer"/>, which predicts a target using a linear regression model. 597public static LbfgsPoissonRegressionTrainer LbfgsPoissonRegression(this RegressionCatalog.RegressionTrainers catalog, 613/// Create <see cref="LbfgsPoissonRegressionTrainer"/> using advanced options, which predicts a target using a linear regression model. 623public static LbfgsPoissonRegressionTrainer LbfgsPoissonRegression(this RegressionCatalog.RegressionTrainers catalog, LbfgsPoissonRegressionTrainer.Options options)
Microsoft.ML.Tests (2)
FeatureContributionTests.cs (1)
97new LbfgsPoissonRegressionTrainer.Options { NumberOfThreads = 1 }), GetSparseDataset(numberOfInstances: 100), "PoissonRegression");
TrainerEstimators\LbfgsTests.cs (1)
50var trainer = ML.Regression.Trainers.LbfgsPoissonRegression();