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ViterbiLearningLearn Method

Learns a model that can map the given inputs to the desired outputs.

Namespace:  Accord.Statistics.Models.Markov.Learning
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax
public HiddenMarkovModel Learn(
	int[][] x,
	double[] weights = null
)
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Parameters

x
Type: SystemInt32
The model inputs.
weights (Optional)
Type: SystemDouble
The weight of importance for each input sample.

Return Value

Type: HiddenMarkovModel
A model that has learned how to produce suitable outputs given the input data x.

Implements

IUnsupervisedLearningTModel, TInput, TOutputLearn(TInput, Double)
See Also