MatrixFactorizationPredictionTransformer Class

Definition

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

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

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

Product Versions
ML.NET 2.0.0, 3.0.0, 4.0.0, Preview