PredictionTransformerBase<TModel> Class

Definition

Namespace:

Microsoft.ML.Data

Assembly:

Microsoft.ML.Data.dll

Package:

Microsoft.ML v3.0.1

Base class for transformers with no feature column, or more than one feature columns.

public abstract class PredictionTransformerBase<TModel> : IDisposable, Microsoft.ML.IPredictionTransformer<TModel>, Microsoft.ML.ITransformer where TModel : class

type PredictionTransformerBase<'Model (requires 'Model : null)> = class
    interface IPredictionTransformer<'Model (requires 'Model : null)>
    interface ITransformer
    interface ICanSaveModel
    interface IDisposable

Public MustInherit Class PredictionTransformerBase(Of TModel)
Implements IDisposable, IPredictionTransformer(Of TModel), ITransformer

Type Parameters

TModel

The type of the model parameters used by this prediction transformer.

Inheritance

Object

PredictionTransformerBase<TModel>

Derived

Microsoft.ML.Data.SingleFeaturePredictionTransformerBase<TModel>

Microsoft.ML.Trainers.FastTree.TreeEnsembleFeaturizationTransformer

Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer

Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer

Implements

ICanSaveModel IPredictionTransformer<TModel> ITransformer IDisposable

Properties

Model

The model.

Methods

Dispose()
GetOutputSchema(DataViewSchema)	Gets the output schema resulting from the Transform(IDataView)
Transform(IDataView)	Transforms the input data.

Explicit Interface Implementations

ICanSaveModel.Save(ModelSaveContext)
ITransformer.GetRowToRowMapper(DataViewSchema)	Gets a IRowToRowMapper instance.
ITransformer.IsRowToRowMapper	Whether a call to GetRowToRowMapper(DataViewSchema) should succeed, on an appropriate schema.

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.