AutoCatalog Class

Definition

Namespace:

Microsoft.ML.AutoML

Assembly:

Microsoft.ML.AutoML.dll

Package:

Microsoft.ML.AutoML v0.21.1

A catalog of all available AutoML tasks.

public sealed class AutoCatalog

type AutoCatalog = class

Public NotInheritable Class AutoCatalog

Inheritance

Object

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.
Featurizer(IDataView, ColumnInformation, String)	Create a single featurize pipeline according to columnInformation. This function will collect all columns in columnInformation, featurizing them using Microsoft.ML.AutoML.AutoCatalog.CatalogFeaturizer(System.String[],System.String[]), Microsoft.ML.AutoML.AutoCatalog.NumericFeaturizer(System.String[],System.String[]) or Microsoft.ML.AutoML.AutoCatalog.TextFeaturizer(System.String,System.String). And combine them into a single feature column as output.
Featurizer(IDataView, String, String[], String[], String[], String[], String[])	Create a single featurize pipeline according to data. This function will collect all columns in data and not in excludeColumns, featurizing them using Microsoft.ML.AutoML.AutoCatalog.CatalogFeaturizer(System.String[],System.String[]), Microsoft.ML.AutoML.AutoCatalog.NumericFeaturizer(System.String[],System.String[]) or Microsoft.ML.AutoML.AutoCatalog.TextFeaturizer(System.String,System.String). And combine them into a single feature column as output.
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, Boolean, Boolean, FastTreeOption, LgbmOption, FastForestOption, LbfgsOption, LbfgsOption, SdcaOption, SdcaOption, SearchSpace<FastTreeOption>, SearchSpace<LgbmOption>, SearchSpace<FastForestOption>, SearchSpace<LbfgsOption>, SearchSpace<LbfgsOption>, SearchSpace<SdcaOption>, 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.