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[SerializableAttribute]
public class HiddenMarkovClassifier<TDistribution> : BaseHiddenMarkovClassifier<HiddenMarkovModel<TDistribution>>, 
	IEnumerable<HiddenMarkovModel<TDistribution>>, IEnumerable, IHiddenMarkovClassifier 
where TDistribution : IDistribution

[SerializableAttribute]
public class HiddenMarkovClassifier<TDistribution> : BaseHiddenMarkovClassifier<HiddenMarkovModel<TDistribution>>, 
	IEnumerable<HiddenMarkovModel<TDistribution>>, IEnumerable, IHiddenMarkovClassifier 
where TDistribution : IDistribution

TDistribution

This class uses a set of density hidden Markov models to classify sequences of real (double-precision floating point) numbers or arrays of those numbers. Each model will try to learn and recognize each of the different output classes. For examples and details on how to learn such models, please take a look on the documentation for HiddenMarkovClassifierLearning TDistribution .

For the discrete version of this classifier, please see its non-generic conterpart HiddenMarkovClassifier.