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

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

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

Share via