QuasiNewtonLearningT Class

Quasi-Newton (L-BFGS) learning algorithm for Conditional Hidden Fields.

Inheritance Hierarchy

SystemObject
Accord.MachineLearningParallelLearningBase
Accord.Statistics.Models.Fields.LearningQuasiNewtonLearningT

Namespace: Accord.Statistics.Models.Fields.Learning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

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public class QuasiNewtonLearning<T> : ParallelLearningBase, 
	ISupervisedLearning<ConditionalRandomField<T>, T[], int[]>, IConditionalRandomFieldLearning<T>, IConvergenceLearning

Public Class QuasiNewtonLearning(Of T)
	Inherits ParallelLearningBase
	Implements ISupervisedLearning(Of ConditionalRandomField(Of T), T(), Integer()), 
	IConditionalRandomFieldLearning(Of T), IConvergenceLearning

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Type Parameters

T

The QuasiNewtonLearningT type exposes the following members.

Constructors

	Name	Description
	QuasiNewtonLearningT	Constructs a new L-BFGS learning algorithm.
	QuasiNewtonLearningT(ConditionalRandomFieldT)	Constructs a new L-BFGS learning algorithm.

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Properties

	Name	Description
	CurrentIteration	Gets the current iteration number.
	Function	Gets or sets the potential function to use if this learning algorithm needs to create a new ConditionalRandomFieldT.
	HasConverged	Gets or sets whether the algorithm has converged.
	MaxIterations	Gets or sets the maximum number of iterations performed by the learning algorithm.
	Model	Gets or sets the model being trained.
	ParallelOptions	Gets or sets the parallelization options for this algorithm. (Inherited from ParallelLearningBase.)
	Token	Gets or sets a cancellation token that can be used to cancel the algorithm while it is running. (Inherited from ParallelLearningBase.)
	Tolerance	Gets or sets the tolerance value used to determine whether the algorithm has converged.

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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	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.)
	Run	Obsolete. Runs the learning algorithm with the specified input training observations and corresponding output labels.
	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.Statistics.Models.Fields.Learning Namespace

QuasiNewtonLearningAddLanguageSpecificTextSet("LST2748223F_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TAddLanguageSpecificTextSet("LST2748223F_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

QuasiNewtonLearningT Class