4 instantiations of OnlineGradientDescentTrainer
Microsoft.ML.Ensemble (1)
Trainer\Regression\RegressionEnsembleTrainer.cs (1)
55ComponentFactoryUtils.CreateFromFunction(env => new OnlineGradientDescentTrainer(env, LabelColumnName, FeatureColumnName))
Microsoft.ML.StandardTrainers (3)
Standard\Online\OnlineGradientDescent.cs (1)
198() => new OnlineGradientDescentTrainer(host, input),
StandardTrainersCatalog.cs (2)
498return new OnlineGradientDescentTrainer(env, labelColumnName, featureColumnName, learningRate, decreaseLearningRate, l2Regularization, 521return new OnlineGradientDescentTrainer(env, options);
25 references to OnlineGradientDescentTrainer
Microsoft.ML.AutoML (1)
TrainerExtensions\RegressionTrainerExtensions.cs (1)
112var options = TrainerExtensionUtil.CreateOptions<OnlineGradientDescentTrainer.Options>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.IntegrationTests (2)
Training.cs (2)
321var trainer = mlContext.Regression.Trainers.OnlineGradientDescent( 322new OnlineGradientDescentTrainer.Options { NumberOfIterations = 10 });
Microsoft.ML.Samples (3)
Dynamic\Trainers\Regression\OnlineGradientDescent.cs (1)
27var pipeline = mlContext.Regression.Trainers.OnlineGradientDescent(
Dynamic\Trainers\Regression\OnlineGradientDescentWithOptions.cs (2)
28var options = new OnlineGradientDescentTrainer.Options 43var pipeline =
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
291CreateAndVerifyDefaultSearchSpace<OnlineGradientDescentTrainer.Options>();
Microsoft.ML.StandardTrainers (17)
Standard\Online\OnlineGradientDescent.cs (10)
15[assembly: LoadableClass(OnlineGradientDescentTrainer.Summary, typeof(OnlineGradientDescentTrainer), typeof(OnlineGradientDescentTrainer.Options), 17OnlineGradientDescentTrainer.UserNameValue, 18OnlineGradientDescentTrainer.LoadNameValue, 19OnlineGradientDescentTrainer.ShortName, 22[assembly: LoadableClass(typeof(void), typeof(OnlineGradientDescentTrainer), null, typeof(SignatureEntryPointModule), "OGD")] 56/// <seealso cref="StandardTrainersCatalog.OnlineGradientDescent(RegressionCatalog.RegressionTrainers, OnlineGradientDescentTrainer.Options)"/> 67/// Options for the <see cref="OnlineGradientDescentTrainer"/> as used in 102public TrainState(IChannel ch, int numFeatures, LinearModelParameters predictor, OnlineGradientDescentTrainer parent)
StandardTrainersCatalog.cs (7)
470/// Create <see cref="OnlineGradientDescentTrainer"/>, which predicts a target using a linear regression model. 487public static OnlineGradientDescentTrainer OnlineGradientDescent(this RegressionCatalog.RegressionTrainers catalog, 491float learningRate = OnlineGradientDescentTrainer.Options.OgdDefaultArgs.LearningRate, 492bool decreaseLearningRate = OnlineGradientDescentTrainer.Options.OgdDefaultArgs.DecreaseLearningRate, 503/// Create <see cref="OnlineGradientDescentTrainer"/> using advanced options, which predicts a target using a linear regression model. 514public static OnlineGradientDescentTrainer OnlineGradientDescent(this RegressionCatalog.RegressionTrainers catalog, 515OnlineGradientDescentTrainer.Options options)
Microsoft.ML.Tests (1)
TrainerEstimators\OnlineLinearTests.cs (1)
29var ogdTrainer = ML.Regression.Trainers.OnlineGradientDescent();