CompositeLoaderEstimator<TSource,TLastTransformer> 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

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An estimator class for composite data loader. It can be used to build a 'trainable smart data loader', although this pattern is not very common.

public sealed class CompositeLoaderEstimator<TSource,TLastTransformer> : Microsoft.ML.IDataLoaderEstimator<TSource,Microsoft.ML.Data.CompositeDataLoader<TSource,TLastTransformer>> where TLastTransformer : class, ITransformer

type CompositeLoaderEstimator<'Source, 'LastTransformer (requires 'LastTransformer : null and 'LastTransformer :> ITransformer)> = class
    interface IDataLoaderEstimator<'Source, CompositeDataLoader<'Source, 'LastTransformer>>

Public NotInheritable Class CompositeLoaderEstimator(Of TSource, TLastTransformer)
Implements IDataLoaderEstimator(Of TSource, CompositeDataLoader(Of TSource, TLastTransformer))

Type Parameters

TSource

TLastTransformer

Inheritance: Object
CompositeLoaderEstimator<TSource,TLastTransformer>

Implements: IDataLoaderEstimator<TSource,CompositeDataLoader<TSource,TLastTransformer>>

Constructors

CompositeLoaderEstimator<TSource,TLastTransformer>(IDataLoaderEstimator<TSource,IDataLoader<TSource>>, EstimatorChain<TLastTransformer>)

Methods

Append<TNewTrans>(IEstimator<TNewTrans>)	Create a new loader estimator, by appending another estimator to the end of this loader estimator.
Fit(TSource)
GetOutputSchema()

Applies to

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