QATransformer Class

Reference

Definition

Namespace:: Microsoft.ML.TorchSharp.Roberta

Assembly:: Microsoft.ML.TorchSharp.dll

Package:: Microsoft.ML.TorchSharp v0.22.1

Package:: Microsoft.ML.TorchSharp v0.22.0

Package:: Microsoft.ML.TorchSharp v0.22.0-preview.24522.7

Source:: QATrainer.cs

Source:: QATrainer.cs

Source:: QATrainer.cs

Important

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public class QATransformer : Microsoft.ML.Data.RowToRowTransformerBase, IDisposable

type QATransformer = class
    inherit RowToRowTransformerBase
    interface IDisposable

Public Class QATransformer
Inherits RowToRowTransformerBase
Implements IDisposable

Inheritance: Object

RowToRowTransformerBase
QATransformer

Implements: IDisposable

Fields

Tokenizer

Methods

Dispose()
Dispose(Boolean)
Finalize()
GetOutputSchema(DataViewSchema)	(Inherited from RowToRowTransformerBase)
GetOutputSchema(SchemaShape)
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

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