Microsoft.ML.AutoML Namespace

Classes

ArrayMath
AutoCatalog	A catalog of all available AutoML tasks.
AutoMLExperiment
AutoMLExperiment.AutoMLExperimentSettings
BinaryClassificationExperiment	AutoML experiment on binary classification datasets.
BinaryExperimentSettings	Settings for AutoML experiments on binary classification datasets.
ColumnInferenceResults	Contains information AutoML inferred about columns in a dataset.
ColumnInformation	Information about the columns in a dataset.
CrossValidateDatasetManager
CrossValidationExperimentResult<TMetrics>	Result of an AutoML experiment that includes cross validation details.
CrossValidationRunDetail<TMetrics>	Details about a cross validation run in an AutoML experiment.
Entity
Estimator
ExperimentBase<TMetrics,TExperimentSettings>	AutoML experiment base class. All task-specific AutoML experiments (like BinaryClassificationExperiment) inherit from this class.
ExperimentResult<TMetrics>	Result of an AutoML experiment.
ExperimentSettings	Base class for experiment settings. All task-specific AutoML experiment settings (like BinaryExperimentSettings) inherit from this class.
InferenceException	Exception thrown by AutoML.
MLContextExtension	Class containing AutoML extension methods to MLContext
MulticlassClassificationExperiment	AutoML experiment on multiclass classification datasets.
MulticlassExperimentSettings	Settings for AutoML experiments on multiclass classification datasets.
MultiModelPipeline
RankingExperiment	AutoML experiment on ranking datasets.
RankingExperimentResultExtensions	Extension methods that operate over ranking experiment run results.
RankingExperimentSettings
RecommendationExperiment	AutoML experiment on recommendation datasets.
RecommendationExperimentSettings	Settings for AutoML experiments on recommendation datasets.
RegressionExperiment	AutoML experiment on regression classification datasets.
RegressionExperimentResultExtensions	Extension methods that operate over regression experiment run results.
RegressionExperimentSettings	Settings for AutoML experiments on regression datasets.
RunDetail	Details about an AutoML experiment run.
RunDetail<TMetrics>	Details about an AutoML experiment run.
SweepableEstimator	Estimator with search space.
SweepableEstimatorPipeline
SweepableExtension
TrainResult<TMetrics>	Result of a pipeline trained on a cross validation fold.
TrainTestDatasetManager
TrialResult
TrialSettings

Interfaces

IDatasetManager	Interface for dataset manager. This interface doesn't include any method or property definition and is used by AutoMLExperiment and other components to retrieve the instance of the actual dataset manager from containers.
IMonitor	instance for monitor, which is used by AutoMLExperiment to report training progress.
ITrialRunner	interface for all trial runners.
ITrialRunnerFactory	interface for trial runner factory.
ITuner
ITunerFactory	interface for all tuner factories.

Enums

BinaryClassificationMetric	Binary classification metric that AutoML will aim to optimize in its sweeping process during an experiment.
BinaryClassificationTrainer	Enumeration of ML.NET binary classification trainers used by AutoML.
CacheBeforeTrainer	Whether AutoML should cache before ML.NET trainers. See WantCaching for more information on caching.
InferenceExceptionType	Type of exception encountered by AutoML.
MulticlassClassificationMetric	Multiclass classification metric that AutoML will aim to optimize in its sweeping process during an experiment.
MulticlassClassificationTrainer	Enumeration of ML.NET multiclass classification trainers used by AutoML.
RankingMetric
RankingTrainer	Enumeration of ML.NET ranking trainers used by AutoML.
RecommendationTrainer	Enumeration of ML.NET recommendation trainers used by AutoML.
RegressionMetric	Regression metric that AutoML will aim to optimize in its sweeping process during an experiment.
RegressionTrainer	Enumeration of ML.NET multiclass classification trainers used by AutoML.