MarkovMultivariateFunction Class

Potential function modeling Hidden Markov Models.

Inheritance Hierarchy

SystemObject
Accord.Statistics.Models.Fields.FunctionsPotentialFunctionBaseDouble
Accord.Statistics.Models.Fields.FunctionsMarkovMultivariateFunction

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

Syntax

Copy

[SerializableAttribute]
public sealed class MarkovMultivariateFunction : PotentialFunctionBase<double[]>, 
	IPotentialFunction<double[]>, ICloneable

<SerializableAttribute>
Public NotInheritable Class MarkovMultivariateFunction
	Inherits PotentialFunctionBase(Of Double())
	Implements IPotentialFunction(Of Double()), ICloneable

Request Example View Source

The MarkovMultivariateFunction type exposes the following members.

Constructors

	Name	Description
	MarkovMultivariateFunction(HiddenMarkovModelMultivariateNormalDistribution)	Obsolete. Constructs a new potential function modeling Hidden Markov Models.
	MarkovMultivariateFunction(HiddenMarkovModelMultivariateNormalDistribution, Double)	Constructs a new potential function modeling Hidden Markov Models.
	MarkovMultivariateFunction(HiddenMarkovClassifierIndependentNormalDistribution, Boolean)	Obsolete. Constructs a new potential function modeling Hidden Markov Models.
	MarkovMultivariateFunction(HiddenMarkovClassifierIndependent, Boolean)	Obsolete. Constructs a new potential function modeling Hidden Markov Models.
	MarkovMultivariateFunction(HiddenMarkovClassifierIndependent, Double, Boolean)	Constructs a new potential function modeling Hidden Markov Models.
	MarkovMultivariateFunction(HiddenMarkovClassifierIndependentNormalDistribution, Double, Boolean)	Constructs a new potential function modeling Hidden Markov Models.
	MarkovMultivariateFunction(HiddenMarkovClassifierIndependentNormalDistribution, Double, Double, Boolean)	Constructs a new potential function modeling Hidden Markov Models.
	MarkovMultivariateFunction(HiddenMarkovClassifierMultivariateNormalDistribution, Boolean)	Obsolete. Constructs a new potential function modeling Hidden Markov Models.
	MarkovMultivariateFunction(HiddenMarkovClassifierMultivariateNormalDistribution, Double, Boolean)	Constructs a new potential function modeling Hidden Markov Models.

Top

Properties

	Name	Description
	Dimensions	Gets the total number of dimensions for this multivariate potential function.
	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.)
	Weights	Gets or sets the set of weights for each feature function. (Inherited from PotentialFunctionBaseT.)

Top

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.)

Top

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.)

Top

Reference

Accord.Statistics.Models.Fields.Functions Namespace