PredictionTransformerBase<TModel> Class

Reference

Definition

Namespace:: Microsoft.ML.Data

Assembly:: Microsoft.ML.Data.dll

Package:: Microsoft.ML v3.0.1

Package:: Microsoft.ML v1.0.0

Package:: Microsoft.ML v1.1.0

Package:: Microsoft.ML v1.2.0

Package:: Microsoft.ML v1.3.1

Package:: Microsoft.ML v1.4.0

Package:: Microsoft.ML v1.5.5

Package:: Microsoft.ML v1.6.0

Package:: Microsoft.ML v1.7.0

Package:: Microsoft.ML v2.0.0

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

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

public abstract class PredictionTransformerBase<TModel> : 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

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

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

Public MustInherit Class PredictionTransformerBase(Of TModel)
Implements 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.

Applies to

Dela via