IDataLoaderEstimator Interface

Definition

Namespace:: Microsoft.ML

Assembly:: Microsoft.ML.Core.dll

Package:: Microsoft.ML v4.0.1

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 v2.0.1

Package:: Microsoft.ML v3.0.1

Package:: Microsoft.ML v5.0.0-preview.1.25125.4

Source:: IEstimator.cs

Source:: IEstimator.cs

Source:: IEstimator.cs

Important

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Sometimes we need to 'fit' an IDataLoader. A DataLoader estimator is the object that does it.

public interface IDataLoaderEstimator where TLoader : IDataLoader

type IDataLoaderEstimator<'Source, 'Loader (requires 'Loader :> IDataLoader<'Source>)> = interface

Public Interface IDataLoaderEstimator(Of In TSource, Out TLoader)

Type Parameters

TSource

This type parameter is contravariant. That is, you can use either the type you specified or any type that is less derived. For more information about covariance and contravariance, see Covariance and Contravariance in Generics.

TLoader

This type parameter is covariant. That is, you can use either the type you specified or any type that is more derived. For more information about covariance and contravariance, see Covariance and Contravariance in Generics.

Derived: Microsoft.ML.Data.CompositeLoaderEstimator

Methods

Name	Description
Fit(TSource)	Train and return a data loader.
GetOutputSchema()	The 'promise' of the output schema. It will be used for schema propagation.

Applies to