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HiddenMarkovClassifierLearningTDistribution Class

Note: This API is now obsolete.

Inheritance Hierarchy
  Accord.Statistics.Models.Markov.LearningBaseHiddenMarkovClassifierLearningHiddenMarkovClassifierTDistribution, HiddenMarkovModelTDistribution

Namespace:  Accord.Statistics.Models.Markov.Learning
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.7.0
[ObsoleteAttribute("Please use HiddenMarkovClassifierLearning<TDistribution, TObservation> instead.")]
public class HiddenMarkovClassifierLearning<TDistribution> : BaseHiddenMarkovClassifierLearning<HiddenMarkovClassifier<TDistribution>, HiddenMarkovModel<TDistribution>>
where TDistribution : IDistribution
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Type Parameters


The HiddenMarkovClassifierLearningTDistribution type exposes the following members.

Public methodHiddenMarkovClassifierLearningTDistribution
Creates a new instance of the learning algorithm for a given Markov sequence classifier using the specified configuration function.
Public methodComputeError
Compute model error for a given data set.
Protected methodCreateThresholdTopology
Creates the state transition topology for the threshold model. This method can be used to help in the implementation of the Threshold abstract method which has to be defined for implementers of this class.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel.)
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.)
Protected methodOnGenerativeClassModelLearningFinished
Raises the [E:GenerativeClassModelLearningFinished] event.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel.)
Protected methodOnGenerativeClassModelLearningStarted
Raises the [E:GenerativeClassModelLearningStarted] event.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel.)
Public methodRun(Array, Int32)
Trains each model to recognize each of the output labels.
Protected methodRunT(T, Int32) Obsolete.
Trains each model to recognize each of the output labels.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel.)
Public methodThreshold
Creates a new threshold model for the current set of Markov models in this sequence classifier.
(Overrides BaseHiddenMarkovClassifierLearningTClassifier, TModelThreshold.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Extension Methods
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 MethodToT
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.)
See Also