AutoCatalog Class

Definition

A catalog of all available AutoML tasks.

public sealed class AutoCatalog
type AutoCatalog = class
Public NotInheritable Class AutoCatalog
Inheritance
AutoCatalog

Methods

BinaryClassification(String, String, String, Boolean, Boolean, Boolean, Boolean, Boolean, FastTreeOption, LgbmOption, FastForestOption, LbfgsOption, SdcaOption, SearchSpace<FastTreeOption>, SearchSpace<LgbmOption>, SearchSpace<FastForestOption>, SearchSpace<LbfgsOption>, SearchSpace<SdcaOption>)

Create a list of SweepableEstimator for binary classification.

CreateBinaryClassificationExperiment(BinaryExperimentSettings)

Creates a new AutoML experiment to run on a binary classification dataset.

CreateBinaryClassificationExperiment(UInt32)

Creates a new AutoML experiment to run on a binary classification dataset.

CreateExperiment(AutoMLExperiment+AutoMLExperimentSettings)

Create an AutoMLExperiment.

CreateMulticlassClassificationExperiment(MulticlassExperimentSettings)

Creates a new AutoML experiment to run on a multiclass classification dataset.

CreateMulticlassClassificationExperiment(UInt32)

Creates a new AutoML experiment to run on a multiclass classification dataset.

CreateRankingExperiment(RankingExperimentSettings)

Creates a new AutoML experiment to run on a ranking dataset.

CreateRankingExperiment(UInt32)

Creates a new AutoML experiment to run on a ranking dataset.

CreateRecommendationExperiment(RecommendationExperimentSettings)

Creates a new AutoML experiment to run on a recommendation dataset.

CreateRecommendationExperiment(UInt32)

Creates a new AutoML experiment to run on a recommendation classification dataset.

CreateRegressionExperiment(RegressionExperimentSettings)

Creates a new AutoML experiment to run on a regression dataset.

CreateRegressionExperiment(UInt32)

Creates a new AutoML experiment to run on a regression dataset.

CreateSweepableEstimator<T>(Func<MLContext,T,IEstimator<ITransformer>>, SearchSpace<T>)

Create a sweepable estimator with a custom factory and search space.

InferColumns(String, ColumnInformation, Nullable<Char>, Nullable<Boolean>, Nullable<Boolean>, Boolean, Boolean)

Infers information about the columns of a dataset in a file located at path.

InferColumns(String, String, Nullable<Char>, Nullable<Boolean>, Nullable<Boolean>, Boolean, Boolean)

Infers information about the columns of a dataset in a file located at path.

InferColumns(String, UInt32, Boolean, Nullable<Char>, Nullable<Boolean>, Nullable<Boolean>, Boolean, Boolean)

Infers information about the columns of a dataset in a file located at path.

MultiClassification(String, String, String, Boolean, Boolean, Boolean, Boolean, Boolean, FastTreeOption, LgbmOption, FastForestOption, LbfgsOption, SdcaOption, SearchSpace<FastTreeOption>, SearchSpace<LgbmOption>, SearchSpace<FastForestOption>, SearchSpace<LbfgsOption>, SearchSpace<SdcaOption>)

Create a list of SweepableEstimator for multiclass classification.

Regression(String, String, String, Boolean, Boolean, Boolean, Boolean, Boolean, FastTreeOption, LgbmOption, FastForestOption, LbfgsOption, SdcaOption, SearchSpace<FastTreeOption>, SearchSpace<LgbmOption>, SearchSpace<FastForestOption>, SearchSpace<LbfgsOption>, SearchSpace<SdcaOption>)

Create a list of SweepableEstimator for regression.

Applies to