RowToRowTransformerBase Class

Definition

Namespace:

Microsoft.ML.Data

Assembly:

Microsoft.ML.Data.dll

Package:

Microsoft.ML v3.0.1

Base class for transformer which produce new columns, but doesn't affect existing ones.

public abstract class RowToRowTransformerBase : Microsoft.ML.ITransformer

type RowToRowTransformerBase = class
    interface ITransformer
    interface ICanSaveModel

Public MustInherit Class RowToRowTransformerBase
Implements ITransformer

Inheritance

Object

RowToRowTransformerBase

Derived

Microsoft.ML.Calibrators.CalibratorTransformer<TICalibrator>

Microsoft.ML.Data.ColumnConcatenatingTransformer

Microsoft.ML.Data.OneToOneTransformerBase

Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTransformer

Microsoft.ML.TorchSharp.Roberta.QATransformer

Microsoft.ML.TorchSharp.TorchSharpBaseTransformer

Microsoft.ML.Transforms.ExpressionTransformer

Microsoft.ML.Transforms.Onnx.OnnxTransformer

Microsoft.ML.Transforms.TensorFlowTransformer

Microsoft.ML.Transforms.Text.NgramHashingTransformer

Implements

ICanSaveModel ITransformer

Methods

GetOutputSchema(DataViewSchema)

Transform(IDataView)

Explicit Interface Implementations

ICanSaveModel.Save(ModelSaveContext)

ITransformer.GetRowToRowMapper(DataViewSchema)

ITransformer.IsRowToRowMapper

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.