FieldAwareFactorizationMachinePredictionTransformer Class

Definition

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
FieldAwareFactorizationMachinePredictionTransformer

Properties

Model

The model.

(Inherited from PredictionTransformerBase<TModel>)

Methods

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, 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