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ViterbiLearningTDistribution Class

Note: This API is now obsolete.

Obsolete. Please use ViterbiLearning<TDistribution, TObservation> instead.
Inheritance Hierarchy
SystemObject
  Accord.Statistics.Models.Markov.LearningBaseViterbiLearningDouble
    Accord.Statistics.Models.Markov.LearningViterbiLearningTDistribution

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

TDistribution

The ViterbiLearningTDistribution type exposes the following members.

Constructors
Properties
  NameDescription
Public propertyBatches
Gets or sets on how many batches the learning data should be divided during learning. Batches are used to estimate adequately the first models so they can better compute the Viterbi paths for subsequent passes of the algorithm. Default is 1.
(Inherited from BaseViterbiLearningT.)
Public propertyCurrentIteration
Gets the current iteration.
(Inherited from BaseViterbiLearningT.)
Public propertyFittingOptions
Gets or sets the distribution fitting options to use when estimating distribution densities during learning.
Public propertyHasConverged
Gets a value indicating whether this instance has converged.
(Inherited from BaseViterbiLearningT.)
Public propertyIterations Obsolete.
Please use MaxIterations instead.
(Inherited from BaseViterbiLearningT.)
Public propertyMaxIterations
Gets or sets the maximum number of iterations performed by the learning algorithm.
(Inherited from BaseViterbiLearningT.)
Public propertyModel
Gets the model being trained.
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
(Inherited from BaseViterbiLearningT.)
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 BaseViterbiLearningT.)
Public propertyUseLaplaceRule
Gets or sets whether to use Laplace's rule of succession to avoid zero probabilities.
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Methods
  NameDescription
Protected methodComputeLogLikelihood
Computes the log-likelihood for the current model for the given observations.
(Overrides BaseViterbiLearningTComputeLogLikelihood(T).)
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(T)
Runs the learning algorithm.
(Inherited from BaseViterbiLearningT.)
Public methodRun(Array)
Runs the learning algorithm.
Protected methodRunEpoch
Runs one single epoch (iteration) of the learning algorithm.
(Overrides BaseViterbiLearningTRunEpoch(T, Int32).)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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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