3 instantiations of GamBinaryTrainer
Microsoft.ML.FastTree (3)
GamTrainer.cs (1)
708() => new GamBinaryTrainer(host, input),
TreeTrainersCatalog.cs (2)
209return new GamBinaryTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, numberOfIterations, learningRate, maximumBinCountPerFeature); 229return new GamBinaryTrainer(env, options);
34 references to GamBinaryTrainer
Microsoft.ML.FastTree (23)
GamClassification.cs (13)
16[assembly: LoadableClass(GamBinaryTrainer.Summary, 17typeof(GamBinaryTrainer), typeof(GamBinaryTrainer.Options), 19GamBinaryTrainer.UserNameValue, 20GamBinaryTrainer.LoadNameValue, 21GamBinaryTrainer.ShortName, DocName = "trainer/GAM.md")] 53/// <seealso cref="TreeExtensions.Gam(BinaryClassificationCatalog.BinaryClassificationTrainers, GamBinaryTrainer.Options)"/> 56GamTrainerBase<GamBinaryTrainer.Options, 61/// Options for the <see cref="GamBinaryTrainer"/> as used in 83/// Initializes a new instance of <see cref="GamBinaryTrainer"/> 92/// Initializes a new instance of <see cref="GamBinaryTrainer"/> 177/// Trains a <see cref="GamBinaryTrainer"/> using both training and validation data, returns 195/// Model parameters for <see cref="GamBinaryTrainer"/>.
GamTrainer.cs (5)
699[TlcModule.EntryPoint(Name = "Trainers.GeneralizedAdditiveModelBinaryClassifier", Desc = GamBinaryTrainer.Summary, UserName = GamBinaryTrainer.UserNameValue, ShortName = GamBinaryTrainer.ShortName)] 700public static CommonOutputs.BinaryClassificationOutput TrainBinary(IHostEnvironment env, GamBinaryTrainer.Options input) 707return TrainerEntryPointsUtils.Train<GamBinaryTrainer.Options, CommonOutputs.BinaryClassificationOutput>(host, input,
TreeTrainersCatalog.cs (5)
183/// Create <see cref="GamBinaryTrainer"/>, which predicts a target using generalized additive models (GAM). 199public static GamBinaryTrainer Gam(this BinaryClassificationCatalog.BinaryClassificationTrainers catalog, 213/// Create <see cref="GamBinaryTrainer"/> using advanced options, which predicts a target using generalized additive models (GAM). 224public static GamBinaryTrainer Gam(this BinaryClassificationCatalog.BinaryClassificationTrainers catalog, 225GamBinaryTrainer.Options options)
Microsoft.ML.IntegrationTests (2)
ModelFiles.cs (2)
139var pipeline = mlContext.BinaryClassification.Trainers.Gam(); 272var pipeline = mlContext.BinaryClassification.Trainers.Gam();
Microsoft.ML.Samples (6)
Dynamic\Trainers\BinaryClassification\Gam.cs (1)
39var trainer = mlContext.BinaryClassification.Trainers
Dynamic\Trainers\BinaryClassification\GamWithOptions.cs (2)
42var trainer = mlContext.BinaryClassification.Trainers.Gam( 43new GamBinaryTrainer.Options
Dynamic\Trainers\Regression\GamAdvanced.cs (1)
39var trainer = mlContext.BinaryClassification.Trainers.Gam(
Dynamic\Trainers\Regression\GamWithOptionsAdvanced.cs (2)
42var trainer = mlContext.BinaryClassification.Trainers.Gam( 43new GamBinaryTrainer.Options
Microsoft.ML.Tests (3)
CalibratedModelParametersTests.cs (1)
50new GamBinaryTrainer.Options { NumberOfThreads = 1 }).Fit(data);
TrainerEstimators\TreeEstimators.cs (2)
133var trainer = new GamBinaryTrainer(Env, new GamBinaryTrainer.Options