MulticlassClassificationExperiment.Execute Method
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Overloads
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)Parameters
- trainData
- IDataView
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<MulticlassClassificationMetrics>>
Returns
Applies to
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)Parameters
- trainData
- IDataView
- validationData
- IDataView
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<MulticlassClassificationMetrics>>
Returns
Applies to
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)Parameters
- trainData
- IDataView
- validationData
- IDataView
- labelColumnName
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<MulticlassClassificationMetrics>>
Returns
Applies to
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)Parameters
- trainData
- IDataView
- labelColumnName
- String
- samplingKeyColumn
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<RunDetail<MulticlassClassificationMetrics>>
Returns
Applies to
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)Parameters
- trainData
- IDataView
- numberOfCVFolds
- UInt32
- columnInformation
- ColumnInformation
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<CrossValidationRunDetail<MulticlassClassificationMetrics>>
Returns
Applies to
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)Parameters
- trainData
- IDataView
- numberOfCVFolds
- UInt32
- labelColumnName
- String
- samplingKeyColumn
- String
- preFeaturizer
- IEstimator<ITransformer>
- progressHandler
- IProgress<CrossValidationRunDetail<MulticlassClassificationMetrics>>