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CustomStopWordsRemovingTransformer Class

  • Reference

Definition

Namespace:
Microsoft.ML.Transforms.Text
Assembly:
Microsoft.ML.Transforms.dll
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v1.0.0
Package:
Microsoft.ML v1.1.0
Package:
Microsoft.ML v1.2.0
Package:
Microsoft.ML v1.3.1
Package:
Microsoft.ML v1.4.0
Package:
Microsoft.ML v1.5.5
Package:
Microsoft.ML v1.6.0
Package:
Microsoft.ML v1.7.0
Package:
Microsoft.ML v2.0.0

ITransformer resulting from fitting a CustomStopWordsRemovingEstimator.

public sealed class CustomStopWordsRemovingTransformer : Microsoft.ML.Data.OneToOneTransformerBase
type CustomStopWordsRemovingTransformer = class
    inherit OneToOneTransformerBase
Public NotInheritable Class CustomStopWordsRemovingTransformer
Inherits OneToOneTransformerBase
Inheritance
Object
RowToRowTransformerBase
OneToOneTransformerBase
CustomStopWordsRemovingTransformer

Methods

GetOutputSchema(DataViewSchema) (Inherited from RowToRowTransformerBase)
Transform(IDataView) (Inherited from RowToRowTransformerBase)

Explicit Interface Implementations

ICanSaveModel.Save(ModelSaveContext) (Inherited from RowToRowTransformerBase)
ITransformer.GetRowToRowMapper(DataViewSchema) (Inherited from RowToRowTransformerBase)
ITransformer.IsRowToRowMapper (Inherited from RowToRowTransformerBase)

Extension Methods

Preview(ITransformer, IDataView, Int32)

Preview an effect of the transformer on a given data.
Append<TTrans>(ITransformer, TTrans)

Create a new transformer chain, by appending another transformer to the end of this transformer chain.
CreateTimeSeriesEngine<TSrc,TDst>(ITransformer, IHostEnvironment, PredictionEngineOptions)

TimeSeriesPredictionEngine<TSrc,TDst> creates a prediction engine for a time series pipeline. It updates the state of time series model with observations seen at prediction phase and allows checkpointing the model.
CreateTimeSeriesEngine<TSrc,TDst>(ITransformer, IHostEnvironment, Boolean, SchemaDefinition, SchemaDefinition)

TimeSeriesPredictionEngine<TSrc,TDst> creates a prediction engine for a time series pipeline. It updates the state of time series model with observations seen at prediction phase and allows checkpointing the model.

Applies to