TensorFlowTransformer Class

Definition

public sealed class TensorFlowTransformer : Microsoft.ML.Data.RowToRowTransformerBase, IDisposable
public sealed class TensorFlowTransformer : Microsoft.ML.Data.RowToRowTransformerBase
type TensorFlowTransformer = class
    inherit RowToRowTransformerBase
    interface IDisposable
type TensorFlowTransformer = class
    inherit RowToRowTransformerBase
Public NotInheritable Class TensorFlowTransformer
Inherits RowToRowTransformerBase
Implements IDisposable
Public NotInheritable Class TensorFlowTransformer
Inherits RowToRowTransformerBase
Inheritance
TensorFlowTransformer
Implements

Methods

Name Description
Dispose()
Finalize()
GetOutputSchema(DataViewSchema) (Inherited from RowToRowTransformerBase)
Transform(IDataView) (Inherited from RowToRowTransformerBase)

Explicit Interface Implementations

Name Description
ICanSaveModel.Save(ModelSaveContext) (Inherited from RowToRowTransformerBase)
ITransformer.GetRowToRowMapper(DataViewSchema) (Inherited from RowToRowTransformerBase)
ITransformer.IsRowToRowMapper (Inherited from RowToRowTransformerBase)

Extension Methods

Name Description
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, 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.

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.

Preview(ITransformer, IDataView, Int32)

Preview an effect of the transformer on a given data.

Applies to