SingleFeaturePredictionTransformerBase<TModel> Class

Definition

Namespace:

Microsoft.ML.Data

Assembly:

Microsoft.ML.Data.dll

Package:

Microsoft.ML v3.0.1

The base class for all the transformers implementing the ISingleFeaturePredictionTransformer<TModel>. Those are all the transformers that work with one feature column.

public abstract class SingleFeaturePredictionTransformerBase<TModel> : Microsoft.ML.Data.PredictionTransformerBase<TModel>, Microsoft.ML.IPredictionTransformer<TModel>, Microsoft.ML.ISingleFeaturePredictionTransformer<TModel>, Microsoft.ML.ITransformer where TModel : class

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

Public MustInherit Class SingleFeaturePredictionTransformerBase(Of TModel)
Inherits PredictionTransformerBase(Of TModel)
Implements IPredictionTransformer(Of TModel), ISingleFeaturePredictionTransformer(Of TModel), ITransformer

Type Parameters

TModel

The model used to transform the data.

Inheritance

Object

PredictionTransformerBase<TModel>

SingleFeaturePredictionTransformerBase<TModel>

Derived

Microsoft.ML.Data.AnomalyPredictionTransformer<TModel>

Microsoft.ML.Data.BinaryPredictionTransformer<TModel>

Microsoft.ML.Data.ClusteringPredictionTransformer<TModel>

Microsoft.ML.Data.MulticlassPredictionTransformer<TModel>

Microsoft.ML.Data.RankingPredictionTransformer<TModel>

Microsoft.ML.Data.RegressionPredictionTransformer<TModel>

Implements

ICanSaveModel IPredictionTransformer<TModel> ISingleFeaturePredictionTransformer<TModel> ITransformer

Properties

FeatureColumnName	The name of the feature column used by the prediction transformer.
FeatureColumnType	The type of the prediction transformer
Model	The model. (Inherited from PredictionTransformerBase<TModel>)

Methods

Dispose()	(Inherited from PredictionTransformerBase<TModel>)
GetOutputSchema(DataViewSchema)	Schema propagation for this prediction transformer.
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.