MulticlassLearningBaseTModel, TInput Class

Base class for multi-class learning algorithm.

Inheritance Hierarchy

SystemObject
Accord.MachineLearningMulticlassLearningBaseTModel, TInput
Accord.MachineLearningMulticlassLearningBaseTModel

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

Syntax

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public abstract class MulticlassLearningBase<TModel, TInput> : ISupervisedMulticlassLearning<TModel, TInput>, 
	ISupervisedMultilabelLearning<TModel, TInput>, ISupervisedLearning<TModel, TInput, int[]>, 
	ISupervisedLearning<TModel, TInput, bool[]>, ISupervisedLearning<TModel, TInput, int>
where TModel : Object, IMulticlassClassifier<TInput>

Public MustInherit Class MulticlassLearningBase(Of TModel As {Object, IMulticlassClassifier(Of TInput)}, TInput)
	Implements ISupervisedMulticlassLearning(Of TModel, TInput), ISupervisedMultilabelLearning(Of TModel, TInput), 
	ISupervisedLearning(Of TModel, TInput, Integer()), ISupervisedLearning(Of TModel, TInput, Boolean()), 
	ISupervisedLearning(Of TModel, TInput, Integer)

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Type Parameters

TModel
TInput

The MulticlassLearningBaseTModel, TInput type exposes the following members.

Constructors

	Name	Description
	MulticlassLearningBaseTModel, TInput	Initializes a new instance of the MulticlassLearningBaseTModel, TInput class

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Properties

	Name	Description
	Model	Gets or sets the model being learned.
	Token	Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.

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Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Learn(TInput, Boolean, Double)	Learns a model that can map the given inputs to the given outputs.
	Learn(TInput, Int32, Double)	Learns a model that can map the given inputs to the given outputs.
	Learn(TInput, Int32, Double)	Learns a model that can map the given inputs to the given outputs.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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Extension Methods

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	To(Type)	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)
	ToT	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)

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Reference

Accord.MachineLearning Namespace

MulticlassLearningBaseAddLanguageSpecificTextSet("LSTCBDD8BD3_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TInputAddLanguageSpecificTextSet("LSTCBDD8BD3_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

MulticlassLearningBaseTModel, TInput Class