TorchSharpBaseTransformer Class

Reference

Definition

Namespace:: Microsoft.ML.TorchSharp

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:: TorchSharpBaseTrainer.cs

Source:: TorchSharpBaseTrainer.cs

Source:: TorchSharpBaseTrainer.cs

Important

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public abstract class TorchSharpBaseTransformer : Microsoft.ML.Data.RowToRowTransformerBase, IDisposable

type TorchSharpBaseTransformer = class
    inherit RowToRowTransformerBase
    interface IDisposable

Public MustInherit Class TorchSharpBaseTransformer
Inherits RowToRowTransformerBase
Implements IDisposable

Inheritance: Object

RowToRowTransformerBase
TorchSharpBaseTransformer

Derived: Microsoft.ML.TorchSharp.TorchSharpBaseTransformer<TLabelCol,TTargetsCol>

Implements: IDisposable

Methods

Dispose()
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

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