HiddenMarkovClassifierCreateGeneric Method

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

Syntax

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public static HiddenMarkovClassifier<GeneralDiscreteDistribution> CreateGeneric(
	int classes,
	int[] states,
	int symbols
)

Public Shared Function CreateGeneric ( 
	classes As Integer,
	states As Integer(),
	symbols As Integer
) As HiddenMarkovClassifier(Of GeneralDiscreteDistribution)

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Parameters

classes: Type: SystemInt32
The number of classes in the classifier.
states: Type: SystemInt32
An array specifying the number of hidden states for each of the classifiers. By default, and Ergodic topology will be used.
symbols: Type: SystemInt32
The number of symbols in the models' discrete alphabet.

Return Value

Type: HiddenMarkovClassifierGeneralDiscreteDistribution

Reference

HiddenMarkovClassifier Class

Accord.Statistics.Models.Markov Namespace

HiddenMarkovClassifierAddLanguageSpecificTextSet("LST25CA2F9D_0?cpp=::|nu=.");CreateGeneric Method

Parameters

Return Value

Reference

HiddenMarkovClassifierCreateGeneric Method