MulticlassClassificationExperiment.Execute Método
Definição
Importante
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Sobrecargas
Execute(IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<MulticlassClassificationMetrics>>)
public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics> 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.MulticlassClassificationMetrics>> 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.MulticlassClassificationMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics>Public Overrides Function Execute (trainData As IDataView, columnInformation As ColumnInformation, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of MulticlassClassificationMetrics)) = Nothing) As ExperimentResult(Of MulticlassClassificationMetrics)Parâmetros
- trainData
- IDataView
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<MulticlassClassificationMetrics>>
Retornos
Aplica-se a
Execute(IDataView, IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<MulticlassClassificationMetrics>>)
public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics> 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.MulticlassClassificationMetrics>> 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.MulticlassClassificationMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics>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 MulticlassClassificationMetrics)) = Nothing) As ExperimentResult(Of MulticlassClassificationMetrics)Parâmetros
- trainData
- IDataView
- validationData
- IDataView
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<MulticlassClassificationMetrics>>
Retornos
Aplica-se a
Execute(IDataView, IDataView, String, IEstimator<ITransformer>, IProgress<RunDetail<MulticlassClassificationMetrics>>)
public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics> 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.MulticlassClassificationMetrics>> 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.MulticlassClassificationMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics>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 MulticlassClassificationMetrics)) = Nothing) As ExperimentResult(Of MulticlassClassificationMetrics)Parâmetros
- trainData
- IDataView
- validationData
- IDataView
- labelColumnName
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<MulticlassClassificationMetrics>>
Retornos
Aplica-se a
Execute(IDataView, String, String, IEstimator<ITransformer>, IProgress<RunDetail<MulticlassClassificationMetrics>>)
public override Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics> 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.MulticlassClassificationMetrics>> progressHandler = default);override this.Execute : Microsoft.ML.IDataView * string * string * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.MulticlassClassificationMetrics>> -> Microsoft.ML.AutoML.ExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics>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 MulticlassClassificationMetrics)) = Nothing) As ExperimentResult(Of MulticlassClassificationMetrics)Parâmetros
- trainData
- IDataView
- labelColumnName
- String
- samplingKeyColumn
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<MulticlassClassificationMetrics>>
Retornos
Aplica-se a
Execute(IDataView, UInt32, ColumnInformation, IEstimator<ITransformer>, IProgress<CrossValidationRunDetail<MulticlassClassificationMetrics>>)
public override Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics> 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.MulticlassClassificationMetrics>> 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.MulticlassClassificationMetrics>> -> Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics>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 MulticlassClassificationMetrics)) = Nothing) As CrossValidationExperimentResult(Of MulticlassClassificationMetrics)Parâmetros
- trainData
- IDataView
- numberOfCVFolds
- UInt32
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<CrossValidationRunDetail<MulticlassClassificationMetrics>>
Retornos
Aplica-se a
Execute(IDataView, UInt32, String, String, IEstimator<ITransformer>, IProgress<CrossValidationRunDetail<MulticlassClassificationMetrics>>)
public override Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics> 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.MulticlassClassificationMetrics>> 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.MulticlassClassificationMetrics>> -> Microsoft.ML.AutoML.CrossValidationExperimentResult<Microsoft.ML.Data.MulticlassClassificationMetrics>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 MulticlassClassificationMetrics)) = Nothing) As CrossValidationExperimentResult(Of MulticlassClassificationMetrics)Parâmetros
- trainData
- IDataView
- numberOfCVFolds
- UInt32
- labelColumnName
- String
- samplingKeyColumn
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<CrossValidationRunDetail<MulticlassClassificationMetrics>>