SentenceSimilarityTransformer Class

Definition

Namespace:

Microsoft.ML.TorchSharp.NasBert

Assembly:

Microsoft.ML.TorchSharp.dll

Package:

Microsoft.ML.TorchSharp v0.23.0-preview.1.25125.4

Source:

SentenceSimilarityTrainer.cs

C#

public sealed class SentenceSimilarityTransformer : Microsoft.ML.TorchSharp.NasBert.NasBertTransformer<float,float>

Inheritance

Object

RowToRowTransformerBase

TorchSharpBaseTransformer

TorchSharpBaseTransformer<TLabelCol,TTargetsCol>

NasBertTransformer<Single,Single>

SentenceSimilarityTransformer

Fields

SentenceColumn	(Inherited from NasBertTransformer<TLabelCol,TTargetsCol>)
SentenceColumn2	(Inherited from NasBertTransformer<TLabelCol,TTargetsCol>)

Methods

Dispose()	(Inherited from TorchSharpBaseTransformer<TLabelCol,TTargetsCol>)
Dispose(Boolean)	(Inherited from TorchSharpBaseTransformer<TLabelCol,TTargetsCol>)
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