ISupervisedBinaryLearningTModel Interface

Common interface for supervised learning algorithms for binary classifiers.

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

Syntax

public interface ISupervisedBinaryLearning<out TModel> : ISupervisedBinaryLearning<TModel, int[]>, 
	ISupervisedMulticlassLearning<TModel, int[]>, ISupervisedMultilabelLearning<TModel, int[]>, 
	ISupervisedLearning<TModel, int[], int[]>, ISupervisedLearning<TModel, int[], bool[]>, 
	ISupervisedLearning<TModel, int[], int>, ISupervisedLearning<TModel, int[], bool>, 
	ISupervisedBinaryLearning<TModel, float[]>, ISupervisedMulticlassLearning<TModel, float[]>, 
	ISupervisedMultilabelLearning<TModel, float[]>, ISupervisedLearning<TModel, float[], int[]>, 
	ISupervisedLearning<TModel, float[], bool[]>, ISupervisedLearning<TModel, float[], int>, 
	ISupervisedLearning<TModel, float[], bool>, ISupervisedBinaryLearning<TModel, double[]>, 
	ISupervisedMulticlassLearning<TModel, double[]>, ISupervisedMultilabelLearning<TModel, double[]>, 
	ISupervisedLearning<TModel, double[], int[]>, ISupervisedLearning<TModel, double[], bool[]>, 
	ISupervisedLearning<TModel, double[], int>, ISupervisedLearning<TModel, double[], bool>
where TModel : IBinaryClassifier

Public Interface ISupervisedBinaryLearning(Of Out TModel As IBinaryClassifier)
	Inherits ISupervisedBinaryLearning(Of TModel, Integer()), 
	ISupervisedMulticlassLearning(Of TModel, Integer()), ISupervisedMultilabelLearning(Of TModel, Integer()), 
	ISupervisedLearning(Of TModel, Integer(), Integer()), 
	ISupervisedLearning(Of TModel, Integer(), Boolean()), ISupervisedLearning(Of TModel, Integer(), Integer), 
	ISupervisedLearning(Of TModel, Integer(), Boolean), ISupervisedBinaryLearning(Of TModel, Single()), 
	ISupervisedMulticlassLearning(Of TModel, Single()), ISupervisedMultilabelLearning(Of TModel, Single()), 
	ISupervisedLearning(Of TModel, Single(), Integer()), ISupervisedLearning(Of TModel, Single(), Boolean()), 
	ISupervisedLearning(Of TModel, Single(), Integer), ISupervisedLearning(Of TModel, Single(), Boolean), 
	ISupervisedBinaryLearning(Of TModel, Double()), ISupervisedMulticlassLearning(Of TModel, Double()), 
	ISupervisedMultilabelLearning(Of TModel, Double()), ISupervisedLearning(Of TModel, Double(), Integer()), 
	ISupervisedLearning(Of TModel, Double(), Boolean()), ISupervisedLearning(Of TModel, Double(), Integer), 
	ISupervisedLearning(Of TModel, Double(), Boolean)

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Type Parameters

TModel: The type for the model being learned.

The ISupervisedBinaryLearningTModel 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

ISupervisedBinaryLearningAddLanguageSpecificTextSet("LSTBB0D3A6D_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModelAddLanguageSpecificTextSet("LSTBB0D3A6D_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Interface

Type Parameters

Reference

ISupervisedBinaryLearningTModel Interface