MarkovDiscreteFunction Class

Potential function modeling Hidden Markov Models.

Inheritance Hierarchy

SystemObject
Accord.Statistics.Models.Fields.FunctionsPotentialFunctionBaseInt32
Accord.Statistics.Models.Fields.FunctionsMarkovDiscreteFunction

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

Syntax

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[SerializableAttribute]
public sealed class MarkovDiscreteFunction : PotentialFunctionBase<int>, 
	IPotentialFunction<int>, ICloneable

<SerializableAttribute>
Public NotInheritable Class MarkovDiscreteFunction
	Inherits PotentialFunctionBase(Of Integer)
	Implements IPotentialFunction(Of Integer), ICloneable

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The MarkovDiscreteFunction type exposes the following members.

Constructors

	Name	Description
	MarkovDiscreteFunction(HiddenMarkovModel)	Constructs a new potential function modeling Hidden Markov Models.
	MarkovDiscreteFunction(HiddenMarkovClassifierGeneralDiscreteDistribution, Int32, Boolean)	Constructs a new potential function modeling Hidden Markov Models.
	MarkovDiscreteFunction(HiddenMarkovClassifier, Boolean)	Constructs a new potential function modeling Hidden Markov Models.
	MarkovDiscreteFunction(Int32, Int32, IRandomNumberGeneratorDouble)	Constructs a new potential function modeling Hidden Markov Models.
	MarkovDiscreteFunction(Int32, Int32, Int32)	Constructs a new potential function modeling Hidden Markov Models.

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Properties

	Name	Description
	Factors	Gets the factor potentials (also known as clique potentials) functions composing this potential function. (Inherited from PotentialFunctionBaseT.)
	Features	Gets the feature functions composing this potential function. (Inherited from PotentialFunctionBaseT.)
	Outputs	Gets the number of output classes assumed by this function. (Inherited from PotentialFunctionBaseT.)
	Symbols	Gets the number of symbols assumed by this function.
	Weights	Gets or sets the set of weights for each feature function. (Inherited from PotentialFunctionBaseT.)

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Methods

	Name	Description
	Clone	Creates a new object that is a copy of the current instance.
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	GetFeatureVector	Computes the factor potential function for the given parameters. (Inherited from PotentialFunctionBaseT.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (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.Statistics.Models.Fields.Functions Namespace