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HiddenMarkovClassifierTDistribution, TObservation Constructor (Int32, Int32, FuncInt32, Int32, TDistribution)

Creates a new Sequence Classifier with the given number of classes.

Namespace:  Accord.Statistics.Models.Markov
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
public HiddenMarkovClassifier(
	int classes,
	int[] states,
	Func<int, int, TDistribution> initial
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Type: SystemInt32
The number of classes in the classifier.
Type: SystemInt32
An array specifying the number of hidden states for each of the classifiers. By default, and Ergodic topology will be used.
Type: SystemFuncInt32, Int32, TDistribution
The initial probability distributions for the hidden states. For multivariate continuous density distributions, such as Normal mixtures, the choice of initial values is crucial for a good performance.
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