FieldAwareFactorizationMachinePredictionTransformer Class

Reference

Definition

Namespace:: Microsoft.ML.Trainers

Assembly:: Microsoft.ML.StandardTrainers.dll

Package:: Microsoft.ML v3.0.1

Package:: Microsoft.ML v1.0.0

Package:: Microsoft.ML v1.1.0

Package:: Microsoft.ML v1.2.0

Package:: Microsoft.ML v1.3.1

Package:: Microsoft.ML v1.4.0

Package:: Microsoft.ML v1.5.5

Package:: Microsoft.ML v1.6.0

Package:: Microsoft.ML v1.7.0

Package:: Microsoft.ML v2.0.0

Important

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public sealed class FieldAwareFactorizationMachinePredictionTransformer : Microsoft.ML.Data.PredictionTransformerBase<Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters>

type FieldAwareFactorizationMachinePredictionTransformer = class
    inherit PredictionTransformerBase<FieldAwareFactorizationMachineModelParameters>

Public NotInheritable Class FieldAwareFactorizationMachinePredictionTransformer
Inherits PredictionTransformerBase(Of FieldAwareFactorizationMachineModelParameters)

Inheritance: Object

PredictionTransformerBase<FieldAwareFactorizationMachineModelParameters>
FieldAwareFactorizationMachinePredictionTransformer

Properties

Model

The model.

(Inherited from PredictionTransformerBase<TModel>)

Methods

Dispose()	(Inherited from PredictionTransformerBase<TModel>)
GetOutputSchema(DataViewSchema)	Gets the DataViewSchema result after transformation.
Transform(IDataView)	Transforms the input data. (Inherited from PredictionTransformerBase<TModel>)

Explicit Interface Implementations

ICanSaveModel.Save(ModelSaveContext)	(Inherited from PredictionTransformerBase<TModel>)
ITransformer.GetRowToRowMapper(DataViewSchema)	Gets a IRowToRowMapper instance. (Inherited from PredictionTransformerBase<TModel>)
ITransformer.IsRowToRowMapper	Whether a call to GetRowToRowMapper(DataViewSchema) should succeed, on an appropriate schema. (Inherited from PredictionTransformerBase<TModel>)

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