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BaumWelchLearningTDistribution Class

Note: This API is now obsolete.

Inheritance Hierarchy
SystemObject
  Accord.Statistics.Models.Markov.LearningBaseBaumWelchLearning
    Accord.Statistics.Models.Markov.LearningBaumWelchLearningTDistribution

Namespace:  Accord.Statistics.Models.Markov.Learning
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax
[ObsoleteAttribute("Please use BaumWelchLearning<TDistribution, TObservation> instead.")]
public class BaumWelchLearning<TDistribution> : BaseBaumWelchLearning, 
	IUnsupervisedLearning, IConvergenceLearning
where TDistribution : IDistribution
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Type Parameters

TDistribution

The BaumWelchLearningTDistribution type exposes the following members.

Constructors
Properties
  NameDescription
Public propertyCurrentIteration
Gets or sets the number of performed iterations.
(Inherited from BaseBaumWelchLearning.)
Public propertyFittingOptions
Gets or sets the distribution fitting options to use when estimating distribution densities during learning.
Public propertyHasConverged
Gets or sets whether the algorithm has converged.
(Inherited from BaseBaumWelchLearning.)
Public propertyIterations Obsolete.
Please use MaxIterations instead.
(Inherited from BaseBaumWelchLearning.)
Public propertyLogGamma
Gets the Gamma matrix of log probabilities created during the last iteration of the Baum-Welch learning algorithm.
(Inherited from BaseBaumWelchLearning.)
Public propertyLogKsi
Gets the Ksi matrix of log probabilities created during the last iteration of the Baum-Welch learning algorithm.
(Inherited from BaseBaumWelchLearning.)
Public propertyLogWeights
Gets the sample weights in the last iteration of the Baum-Welch learning algorithm.
(Inherited from BaseBaumWelchLearning.)
Public propertyMaxIterations
Gets or sets the maximum number of iterations performed by the learning algorithm.
(Inherited from BaseBaumWelchLearning.)
Public propertyModel
Gets the model being trained.
Public propertyTolerance
Gets or sets the maximum change in the average log-likelihood after an iteration of the algorithm used to detect convergence.
(Inherited from BaseBaumWelchLearning.)
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Methods
  NameDescription
Protected methodComputeForwardBackward
Computes the forward and backward probabilities matrices for a given observation referenced by its index in the input training data.
(Overrides BaseBaumWelchLearningComputeForwardBackward(Int32, Double, Double).)
Protected methodComputeKsi
Computes the ksi matrix of probabilities for a given observation referenced by its index in the input training data.
(Overrides BaseBaumWelchLearningComputeKsi(Int32, Double, Double).)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodRun(Array)
Runs the Baum-Welch learning algorithm for hidden Markov models.
Protected methodRun(Array, Double)
Runs the Baum-Welch learning algorithm for hidden Markov models.
(Inherited from BaseBaumWelchLearning.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Protected methodUpdateEmissions
Updates the emission probability matrix.
(Overrides BaseBaumWelchLearningUpdateEmissions.)
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodTo(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.)
Public Extension MethodToTOverloaded.
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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See Also