NormalizingTransformer Class

Definition

Namespace:

Microsoft.ML.Transforms

Assembly:

Microsoft.ML.Data.dll

Package:

Microsoft.ML v3.0.1

ITransformer resulting from fitting an NormalizingEstimator.

public sealed class NormalizingTransformer : Microsoft.ML.Data.OneToOneTransformerBase

type NormalizingTransformer = class
    inherit OneToOneTransformerBase

Public NotInheritable Class NormalizingTransformer
Inherits OneToOneTransformerBase

Inheritance

Object

RowToRowTransformerBase

OneToOneTransformerBase

NormalizingTransformer

Methods

GetNormalizerModelParameters(Int32)	The normalization configurations of input columns. It returns the normalization parameters applied to the index-th input column.
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.