MatrixFactorizationPredictionTransformer Class
Definition
Important
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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
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MatrixFactorizationPredictionTransformer
Properties
| Name | Description |
|---|---|
| Model |
The model. (Inherited from PredictionTransformerBase<TModel>) |
Methods
| Name | Description |
|---|---|
| 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
| Name | Description |
|---|---|
| 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
| Name | Description |
|---|---|
| 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. |
| 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. |
| Preview(ITransformer, IDataView, Int32) |
Preview an effect of the |