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Discrete-density Hidden Markov Model Set for Sequence Classification.
Inheritance Hierarchy
System Object
Accord.Statistics.Models.Markov BaseHiddenMarkovClassifier HiddenMarkovModel
Accord.Statistics.Models.Markov HiddenMarkovClassifier
Namespace: Accord.Statistics.Models.Markov
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 2.9.0.0 (2.9.0.0)
Syntax
[SerializableAttribute] public class HiddenMarkovClassifier : BaseHiddenMarkovClassifier<HiddenMarkovModel>, IEnumerable<HiddenMarkovModel>, IEnumerable, IHiddenMarkovClassifier
Remarks
This class uses a set of discrete hidden Markov models to classify sequences of integer symbols. 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.
For other type of sequences, such as discrete sequences (not necessarily symbols) or even continuous and multivariate variables, please see use the generic classifier counterpart HiddenMarkovClassifier TDistribution
See Also