312return new AutoMLExperiment(_context, settings ?? new AutoMLExperiment.AutoMLExperimentSettings());

308/// Create an <see cref="AutoMLExperiment"/>. 310public AutoMLExperiment CreateExperiment(AutoMLExperiment.AutoMLExperimentSettings settings = null) 312return new AutoMLExperiment(_context, settings ?? new AutoMLExperiment.AutoMLExperimentSettings());

22/// Set train and validation dataset for <see cref="AutoMLExperiment"/>. This will make <see cref="AutoMLExperiment"/> uses <paramref name="train"/> 25/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 29/// <returns><see cref="AutoMLExperiment"/></returns> 30public static AutoMLExperiment SetDataset(this AutoMLExperiment experiment, IDataView train, IDataView validation, bool subSamplingTrainDataset = false) 48/// Set train and validation dataset for <see cref="AutoMLExperiment"/>. This will make <see cref="AutoMLExperiment"/> uses <see cref="TrainTestData.TrainSet"/> from <paramref name="trainValidationSplit"/> 51/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 53/// <returns><see cref="AutoMLExperiment"/></returns> 54public static AutoMLExperiment SetDataset(this AutoMLExperiment experiment, TrainTestData trainValidationSplit) 60/// Set cross-validation dataset for <see cref="AutoMLExperiment"/>. This will make <see cref="AutoMLExperiment"/> use n=<paramref name="fold"/> cross-validation split on <paramref name="dataset"/> 63/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 67/// <returns><see cref="AutoMLExperiment"/></returns> 68public static AutoMLExperiment SetDataset(this AutoMLExperiment experiment, IDataView dataset, int fold = 10, string samplingKeyColumnName = null) 78/// Set <see cref="BinaryMetricManager"/> as evaluation manager for <see cref="AutoMLExperiment"/>. This will make 79/// <see cref="AutoMLExperiment"/> uses <paramref name="metric"/> as evaluation metric. 81/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 85/// <returns><see cref="AutoMLExperiment"/></returns> 86public static AutoMLExperiment SetBinaryClassificationMetric(this AutoMLExperiment experiment, BinaryClassificationMetric metric, string labelColumn = "label", string predictedColumn = "PredictedLabel") 93/// Set <see cref="MultiClassMetricManager"/> as evaluation manager for <see cref="AutoMLExperiment"/>. This will make 94/// <see cref="AutoMLExperiment"/> uses <paramref name="metric"/> as evaluation metric. 96/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 100/// <returns><see cref="AutoMLExperiment"/></returns> 101public static AutoMLExperiment SetMulticlassClassificationMetric(this AutoMLExperiment experiment, MulticlassClassificationMetric metric, string labelColumn = "label", string predictedColumn = "PredictedLabel") 114/// Set <see cref="RegressionMetricManager"/> as evaluation manager for <see cref="AutoMLExperiment"/>. This will make 115/// <see cref="AutoMLExperiment"/> uses <paramref name="metric"/> as evaluation metric. 117/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 121/// <returns><see cref="AutoMLExperiment"/></returns> 122public static AutoMLExperiment SetRegressionMetric(this AutoMLExperiment experiment, RegressionMetric metric, string labelColumn = "Label", string scoreColumn = "Score") 135/// Set <paramref name="pipeline"/> for training. This also make <see cref="AutoMLExperiment"/> uses <see cref="SweepablePipelineRunner"/> 138/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 140/// <returns><see cref="AutoMLExperiment"/></returns> 141public static AutoMLExperiment SetPipeline(this AutoMLExperiment experiment, SweepablePipeline pipeline) 143experiment.AddSearchSpace(AutoMLExperiment.PipelineSearchspaceName, pipeline.SearchSpace); 154/// Set <see cref="DefaultPerformanceMonitor"/> as <see cref="IPerformanceMonitor"/> for <see cref="AutoMLExperiment"/>. 156/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 159public static AutoMLExperiment SetPerformanceMonitor(this AutoMLExperiment experiment, int checkIntervalInMilliseconds = 1000) 164var settings = service.GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>(); 172/// Set a custom performance monitor as <see cref="IPerformanceMonitor"/> for <see cref="AutoMLExperiment"/>. 175/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 178public static AutoMLExperiment SetPerformanceMonitor<TPerformanceMonitor>(this AutoMLExperiment experiment, Func<IServiceProvider, TPerformanceMonitor> factory) 187/// Set a custom performance monitor as <see cref="IPerformanceMonitor"/> for <see cref="AutoMLExperiment"/>. 190/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 192public static AutoMLExperiment SetPerformanceMonitor<TPerformanceMonitor>(this AutoMLExperiment experiment) 205/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 216public static AutoMLExperiment SetSmacTuner( 217this AutoMLExperiment experiment, 231var settings = service.GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>(); 246public static AutoMLExperiment SetCostFrugalTuner(this AutoMLExperiment experiment) 250var settings = service.GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>(); 261/// seed to initialize <see cref="RandomSearchTuner"/>. Otherwise, <see cref="AutoMLExperiment.AutoMLExperimentSettings.Seed"/> will be used. 264/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 265public static AutoMLExperiment SetRandomSearchTuner(this AutoMLExperiment experiment, int? seed = null) 269var settings = service.GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>(); 283/// <param name="experiment"><see cref="AutoMLExperiment"/></param> 284public static AutoMLExperiment SetGridSearchTuner(this AutoMLExperiment experiment, int step = 10) 288var settings = service.GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>(); 298/// Set checkpoint folder for <see cref="AutoMLExperiment"/>. The checkpoint folder will be used to save 302/// <param name="experiment"><see cref="AutoMLExperiment"/>.</param> 304/// <returns><see cref="AutoMLExperiment"/></returns> 305public static AutoMLExperiment SetCheckpoint(this AutoMLExperiment experiment, string folder) 315var settings = serviceProvider.GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>(); 342public static AutoMLExperiment SetEciCostFrugalTuner(this AutoMLExperiment experiment) 349private static AutoMLExperiment SetEvaluateMetric<TEvaluateMetricManager>(this AutoMLExperiment experiment, TEvaluateMetricManager metricManager)

143private AutoMLExperiment _experiment; 344private AutoMLExperiment PostConfigureAutoMLExperiment(AutoMLExperiment experiment) 364public BinaryClassificationRunner(IMLContextManager contextManager, IDatasetManager datasetManager, IMetricManager metricManager, SweepablePipeline pipeline, AutoMLExperiment.AutoMLExperimentSettings settings) 384var parameter = settings.Parameter[AutoMLExperiment.PipelineSearchspaceName];

127private readonly AutoMLExperiment _experiment; 350public MulticlassClassificationRunner(IMLContextManager contextManager, IDatasetManager datasetManager, IMetricManager metricManager, SweepablePipeline pipeline, AutoMLExperiment.AutoMLExperimentSettings settings) 364var parameter = settings.Parameter[AutoMLExperiment.PipelineSearchspaceName];

122private readonly AutoMLExperiment _experiment; 370public RegressionTrialRunner(IMLContextManager contextManager, IDatasetManager datasetManager, IMetricManager metricManager, SweepablePipeline pipeline, AutoMLExperiment.AutoMLExperimentSettings settings) 391var parameter = settings.Parameter[AutoMLExperiment.PipelineSearchspaceName];

70_serviceCollection.TryAddSingleton(((IChannelProvider)_context).Start(nameof(AutoMLExperiment))); 71_serviceCollection.TryAddSingleton<IMLContextManager>(new DefaultMLContextManager(_context, $"{nameof(AutoMLExperiment)}-ChildContext")); 77public AutoMLExperiment SetTrainingTimeInSeconds(uint trainingTimeInSeconds) 91public AutoMLExperiment SetMaxModelToExplore(int maxModel) 106public AutoMLExperiment SetMaximumMemoryUsageInMegaByte(double value = double.MaxValue) 113public AutoMLExperiment AddSearchSpace(string key, SearchSpace.SearchSpace searchSpace) 120public AutoMLExperiment SetMonitor<TMonitor>(TMonitor monitor) 128public AutoMLExperiment SetMonitor<TMonitor>() 136public AutoMLExperiment SetMonitor<TMonitor>(Func<IServiceProvider, TMonitor> factory) 144public AutoMLExperiment SetTrialRunner<TTrialRunner>(TTrialRunner runner) 152public AutoMLExperiment SetTrialRunner<TTrialRunner>(Func<IServiceProvider, TTrialRunner> factory) 160public AutoMLExperiment SetTrialRunner<TTrialRunner>() 168public AutoMLExperiment SetTuner<TTuner>(TTuner proposer) 174public AutoMLExperiment SetTuner<TTuner>(Func<IServiceProvider, TTuner> factory) 191public AutoMLExperiment SetTuner<TTuner>()

11/// Interface for dataset manager. This interface doesn't include any method or property definition and is used by <see cref="AutoMLExperiment"/> and other components to retrieve the instance of the actual

12/// instance for monitor, which is used by <see cref="AutoMLExperiment"/> to report training progress.

43private readonly AutoMLExperiment.AutoMLExperimentSettings _settings; 50public DefaultPerformanceMonitor(AutoMLExperiment.AutoMLExperimentSettings settings, IChannel logger, int checkIntervalInMilliseconds)

39var parameter = settings.Parameter[AutoMLExperiment.PipelineSearchspaceName];

22/// the loss for current trial, which is smaller the better. This value will be used to fit smart tuners in <see cref="AutoMLExperiment"/>.

153if (parameter.TryGetValue(AutoMLExperiment.PipelineSearchspaceName, out var pipelineParameter))

27public AutoZeroTuner(SweepablePipeline pipeline, AggregateTrainingStopManager aggregateTrainingStopManager, IEvaluateMetricManager evaluateMetricManager, AutoMLExperiment.AutoMLExperimentSettings settings) 104settings.Parameter[AutoMLExperiment.PipelineSearchspaceName] = parameter;

26public CostFrugalTuner(AutoMLExperiment.AutoMLExperimentSettings settings, ITrialResultManager trialResultManager = null)

26public EciCostFrugalTuner(SweepablePipeline sweepablePipeline, AutoMLExperiment.AutoMLExperimentSettings settings, ITrialResultManager trialResultManager = null) 30_defaultParameter = settings.SearchSpace.SampleFromFeatureSpace(settings.SearchSpace.Default)[AutoMLExperiment.PipelineSearchspaceName]; 36aggregateSearchSpace[AutoMLExperiment.PipelineSearchspaceName] = searchSpace; 69var schema = result.TrialSettings.Parameter[AutoMLExperiment.PipelineSearchspaceName]["_SCHEMA_"].AsType<string>();

15public GridSearchTuner(AutoMLExperiment.AutoMLExperimentSettings settings)

13using static Microsoft.ML.AutoML.AutoMLExperiment;

15public RandomSearchTuner(AutoMLExperiment.AutoMLExperimentSettings settings)

32var experiment = context.Auto().CreateExperiment();

37var experiment = context.Auto().CreateExperiment();

58var experiment = context.Auto().CreateExperiment();

36var experiment = context.Auto().CreateExperiment(); 42var settings = serviceProvider.GetService<AutoMLExperiment.AutoMLExperimentSettings>(); 66var experiment = context.Auto().CreateExperiment(); 81var settings = serviceProvider.GetService<AutoMLExperiment.AutoMLExperimentSettings>(); 104var experiment = context.Auto().CreateExperiment(); 124var experiment = context.Auto().CreateExperiment(); 129var settings = serviceProvider.GetService<AutoMLExperiment.AutoMLExperimentSettings>(); 163var experiment = context.Auto().CreateExperiment(); 168var settings = serviceProvider.GetService<AutoMLExperiment.AutoMLExperimentSettings>(); 186var experiment = context.Auto().CreateExperiment(); 191var settings = serviceProvider.GetService<AutoMLExperiment.AutoMLExperimentSettings>(); 221var experiment = context.Auto().CreateExperiment(); 246var experiment = context.Auto().CreateExperiment(); 271var experiment = context.Auto().CreateExperiment(); 296var experiment = context.Auto().CreateExperiment(); 323var experiment = context.Auto().CreateExperiment(); 351var experiment = context.Auto().CreateExperiment(); 381var experiment = context.Auto().CreateExperiment(); 400var experiment = context.Auto().CreateExperiment(); 419var experiment = context.Auto().CreateExperiment(); 420var settings = experiment.ServiceCollection.BuildServiceProvider().GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>(); 425settings = experiment.ServiceCollection.BuildServiceProvider().GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>(); 435public DummyTrialRunner(AutoMLExperiment.AutoMLExperimentSettings automlSettings, int finishAfterNSeconds, IChannel logger)

171var tuner = new EciCostFrugalTuner(pipeline, new AutoMLExperiment.AutoMLExperimentSettings 206var tuner = new EciCostFrugalTuner(pipeline, new AutoMLExperiment.AutoMLExperimentSettings

29public static AutoMLExperiment SetBinaryClassificationMoment(this AutoMLExperiment experiment, ClassificationMoment moment) 36public static AutoMLExperiment SetGridLimit(this AutoMLExperiment experiment, float gridLimit) 46public static AutoMLExperiment SetBinaryClassificationMetricWithFairLearn( 47this AutoMLExperiment experiment,

33var settings = provider.GetRequiredService<AutoMLExperiment.AutoMLExperimentSettings>();

91var experiment = context.Auto().CreateExperiment();