RegressionExperiment.Execute Methode

Definition

Namespace:

Microsoft.ML.AutoML

Assembly:

Microsoft.ML.AutoML.dll

Paket:

Microsoft.ML.AutoML v0.23.0-preview.1.25125.4

Überlädt

Execute(IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<RegressionMetrics>>)
Execute(IDataView, IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<RegressionMetrics>>)
Execute(IDataView, IDataView, String, IEstimator<ITransformer>, IProgress<RunDetail<RegressionMetrics>>)
Execute(IDataView, String, String, IEstimator<ITransformer>, IProgress<RunDetail<RegressionMetrics>>)
Execute(IDataView, UInt32, ColumnInformation, IEstimator<ITransformer>, IProgress<CrossValidationRunDetail<RegressionMetrics>>)
Execute(IDataView, UInt32, String, String, IEstimator<ITransformer>, IProgress<CrossValidationRunDetail<RegressionMetrics>>)

Execute(IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<RegressionMetrics>>)

Quelle:

RegressionExperiment.cs

public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.RegressionMetrics> 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.RegressionMetrics>> 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.RegressionMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.RegressionMetrics>

Public Overrides Function Execute (trainData As IDataView, columnInformation As ColumnInformation, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of RegressionMetrics)) = Nothing) As ExperimentResult(Of RegressionMetrics)

Parameter

trainData

IDataView

columnInformation

ColumnInformation

preFeaturizer

IEstimator<ITransformer>

progressHandler

IProgress<RunDetail<RegressionMetrics>>

Gibt zurück

ExperimentResult<RegressionMetrics>

Execute(IDataView, IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<RegressionMetrics>>)

Quelle:

RegressionExperiment.cs

public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.RegressionMetrics> 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.RegressionMetrics>> 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.RegressionMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.RegressionMetrics>

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 RegressionMetrics)) = Nothing) As ExperimentResult(Of RegressionMetrics)

Parameter

trainData

IDataView

validationData

IDataView

columnInformation

ColumnInformation

preFeaturizer

IEstimator<ITransformer>

progressHandler

IProgress<RunDetail<RegressionMetrics>>

Gibt zurück

ExperimentResult<RegressionMetrics>

Execute(IDataView, IDataView, String, IEstimator<ITransformer>, IProgress<RunDetail<RegressionMetrics>>)

Quelle:

RegressionExperiment.cs

public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.RegressionMetrics> 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.RegressionMetrics>> 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.RegressionMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.RegressionMetrics>

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 RegressionMetrics)) = Nothing) As ExperimentResult(Of RegressionMetrics)

Parameter

trainData

IDataView

validationData

IDataView

labelColumnName

String

preFeaturizer

IEstimator<ITransformer>

progressHandler

IProgress<RunDetail<RegressionMetrics>>

Gibt zurück

ExperimentResult<RegressionMetrics>

Execute(IDataView, String, String, IEstimator<ITransformer>, IProgress<RunDetail<RegressionMetrics>>)

Quelle:

RegressionExperiment.cs

public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.RegressionMetrics> 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.RegressionMetrics>> progressHandler = default);

override this.Execute : Microsoft.ML.IDataView * string * string * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RegressionMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.RegressionMetrics>

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 RegressionMetrics)) = Nothing) As ExperimentResult(Of RegressionMetrics)

Parameter

trainData

IDataView

labelColumnName

String

samplingKeyColumn

String

preFeaturizer

IEstimator<ITransformer>

progressHandler

IProgress<RunDetail<RegressionMetrics>>

Gibt zurück

ExperimentResult<RegressionMetrics>

Execute(IDataView, UInt32, ColumnInformation, IEstimator<ITransformer>, IProgress<CrossValidationRunDetail<RegressionMetrics>>)

Quelle:

RegressionExperiment.cs

public override Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.RegressionMetrics> 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.RegressionMetrics>> 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.RegressionMetrics>> -> Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.RegressionMetrics>

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 RegressionMetrics)) = Nothing) As CrossValidationExperimentResult(Of RegressionMetrics)

Parameter

trainData

IDataView

numberOfCVFolds

UInt32

columnInformation

ColumnInformation

preFeaturizer

IEstimator<ITransformer>

progressHandler

IProgress<CrossValidationRunDetail<RegressionMetrics>>

Gibt zurück

CrossValidationExperimentResult<RegressionMetrics>

Execute(IDataView, UInt32, String, String, IEstimator<ITransformer>, IProgress<CrossValidationRunDetail<RegressionMetrics>>)

Quelle:

RegressionExperiment.cs

public override Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.RegressionMetrics> 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.RegressionMetrics>> 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.RegressionMetrics>> -> Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.RegressionMetrics>

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 RegressionMetrics)) = Nothing) As CrossValidationExperimentResult(Of RegressionMetrics)

Parameter

trainData

IDataView

numberOfCVFolds

UInt32

labelColumnName

String

samplingKeyColumn

String

preFeaturizer

IEstimator<ITransformer>

progressHandler

IProgress<CrossValidationRunDetail<RegressionMetrics>>

Gibt zurück

CrossValidationExperimentResult<RegressionMetrics>