ISupervisedMultilabelLearningTModel, TInput Interface

Common interface for supervised learning algorithms for multi-label classifiers.

Namespace: Accord.MachineLearning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

public interface ISupervisedMultilabelLearning<out TModel, in TInput> : ISupervisedLearning<TModel, TInput, int[]>, 
	ISupervisedLearning<TModel, TInput, bool[]>
where TModel : Object, IMultilabelClassifier<TInput>

Public Interface ISupervisedMultilabelLearning(Of Out TModel As {Object, IMultilabelClassifier(Of TInput)}, In TInput)
	Inherits ISupervisedLearning(Of TModel, TInput, Integer()), 
	ISupervisedLearning(Of TModel, TInput, Boolean())

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Type Parameters

TModel: The type for the model being learned.
TInput: The type for the input data that enters the model.

The ISupervisedMultilabelLearningTModel, TInput type exposes the following members.

Properties

	Name	Description
	Token	Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running. (Inherited from ISupervisedLearningTModel, TInput, TOutput.)

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Methods

	Name	Description
	Learn(TInput, TOutput, Double)	Learns a model that can map the given inputs to the given outputs. (Inherited from ISupervisedLearningTModel, TInput, TOutput.)

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Reference

Accord.MachineLearning Namespace

ISupervisedMultilabelLearningAddLanguageSpecificTextSet("LST38FDF18C_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TInputAddLanguageSpecificTextSet("LST38FDF18C_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Interface

Type Parameters

Reference

ISupervisedMultilabelLearningTModel, TInput Interface