BinaryClassificationExperiment.Execute Metoda
Definice
Důležité
Některé informace platí pro předběžně vydaný produkt, který se může zásadně změnit, než ho výrobce nebo autor vydá. Microsoft neposkytuje žádné záruky, výslovné ani předpokládané, týkající se zde uváděných informací.
Přetížení
Execute(IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<BinaryClassificationMetrics>>)
public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics> Execute(Microsoft.ML.IDataView trainData, Microsoft.ML.AutoML.ColumnInformation columnInformation, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> progressHandler = default);override this.Execute : Microsoft.ML.IDataView * Microsoft.ML.AutoML.ColumnInformation * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics>Public Overrides Function Execute (trainData As IDataView, columnInformation As ColumnInformation, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of BinaryClassificationMetrics)) = Nothing) As ExperimentResult(Of BinaryClassificationMetrics)Parametry
- trainData
- IDataView
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<BinaryClassificationMetrics>>
Návraty
Platí pro
Execute(IDataView, IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<BinaryClassificationMetrics>>)
public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics> Execute(Microsoft.ML.IDataView trainData, Microsoft.ML.IDataView validationData, Microsoft.ML.AutoML.ColumnInformation columnInformation, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> progressHandler = default);override this.Execute : Microsoft.ML.IDataView * Microsoft.ML.IDataView * Microsoft.ML.AutoML.ColumnInformation * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics>Public Overrides Function Execute (trainData As IDataView, validationData As IDataView, columnInformation As ColumnInformation, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of BinaryClassificationMetrics)) = Nothing) As ExperimentResult(Of BinaryClassificationMetrics)Parametry
- trainData
- IDataView
- validationData
- IDataView
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<BinaryClassificationMetrics>>
Návraty
Platí pro
Execute(IDataView, IDataView, String, IEstimator<ITransformer>, IProgress<RunDetail<BinaryClassificationMetrics>>)
public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics> Execute(Microsoft.ML.IDataView trainData, Microsoft.ML.IDataView validationData, string labelColumnName = "Label", Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> progressHandler = default);override this.Execute : Microsoft.ML.IDataView * Microsoft.ML.IDataView * string * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics>Public Overrides Function Execute (trainData As IDataView, validationData As IDataView, Optional labelColumnName As String = "Label", Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of BinaryClassificationMetrics)) = Nothing) As ExperimentResult(Of BinaryClassificationMetrics)Parametry
- trainData
- IDataView
- validationData
- IDataView
- labelColumnName
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<BinaryClassificationMetrics>>
Návraty
Platí pro
Execute(IDataView, String, String, IEstimator<ITransformer>, IProgress<RunDetail<BinaryClassificationMetrics>>)
public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics> Execute(Microsoft.ML.IDataView trainData, string labelColumnName = "Label", string samplingKeyColumn = default, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> progressHandler = default);override this.Execute : Microsoft.ML.IDataView * string * string * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics>Public Overrides Function Execute (trainData As IDataView, Optional labelColumnName As String = "Label", Optional samplingKeyColumn As String = Nothing, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of BinaryClassificationMetrics)) = Nothing) As ExperimentResult(Of BinaryClassificationMetrics)Parametry
- trainData
- IDataView
- labelColumnName
- String
- samplingKeyColumn
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<BinaryClassificationMetrics>>
Návraty
Platí pro
Execute(IDataView, UInt32, ColumnInformation, IEstimator<ITransformer>, IProgress<CrossValidationRunDetail<BinaryClassificationMetrics>>)
public override Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics> Execute(Microsoft.ML.IDataView trainData, uint numberOfCVFolds, Microsoft.ML.AutoML.ColumnInformation columnInformation = default, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> progressHandler = default);override this.Execute : Microsoft.ML.IDataView * uint32 * Microsoft.ML.AutoML.ColumnInformation * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> -> Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics>Public Overrides Function Execute (trainData As IDataView, numberOfCVFolds As UInteger, Optional columnInformation As ColumnInformation = Nothing, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of CrossValidationRunDetail(Of BinaryClassificationMetrics)) = Nothing) As CrossValidationExperimentResult(Of BinaryClassificationMetrics)Parametry
- trainData
- IDataView
- numberOfCVFolds
- UInt32
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<CrossValidationRunDetail<BinaryClassificationMetrics>>
Návraty
Platí pro
Execute(IDataView, UInt32, String, String, IEstimator<ITransformer>, IProgress<CrossValidationRunDetail<BinaryClassificationMetrics>>)
public override Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics> Execute(Microsoft.ML.IDataView trainData, uint numberOfCVFolds, string labelColumnName = "Label", string samplingKeyColumn = default, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> progressHandler = default);override this.Execute : Microsoft.ML.IDataView * uint32 * string * string * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.BinaryClassificationMetrics>> -> Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.BinaryClassificationMetrics>Public Overrides Function Execute (trainData As IDataView, numberOfCVFolds As UInteger, Optional labelColumnName As String = "Label", Optional samplingKeyColumn As String = Nothing, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of CrossValidationRunDetail(Of BinaryClassificationMetrics)) = Nothing) As CrossValidationExperimentResult(Of BinaryClassificationMetrics)Parametry
- trainData
- IDataView
- numberOfCVFolds
- UInt32
- labelColumnName
- String
- samplingKeyColumn
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<CrossValidationRunDetail<BinaryClassificationMetrics>>