MatrixFactorizationPredictionTransformer Class

Definition

Namespace:

Microsoft.ML.Trainers.Recommender

Assembly:

Microsoft.ML.Recommender.dll

Package:

Microsoft.ML.Recommender v0.22.0-preview.24522.7

Source:

MatrixFactorizationPredictor.cs

Trains a MatrixFactorizationModelParameters. It factorizes the training matrix into the product of two low-rank matrices.

public sealed class MatrixFactorizationPredictionTransformer : Microsoft.ML.Data.PredictionTransformerBase<Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters>

type MatrixFactorizationPredictionTransformer = class
    inherit PredictionTransformerBase<MatrixFactorizationModelParameters>

Public NotInheritable Class MatrixFactorizationPredictionTransformer
Inherits PredictionTransformerBase(Of MatrixFactorizationModelParameters)

Inheritance

Object

PredictionTransformerBase<MatrixFactorizationModelParameters>

MatrixFactorizationPredictionTransformer

Properties

Model

The model. (Inherited from PredictionTransformerBase<TModel>)

Methods

Dispose()	(Inherited from PredictionTransformerBase<TModel>)
GetOutputSchema(DataViewSchema)	Schema propagation for transformers. Returns the output schema of the data, if the input schema is like the one provided.
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.