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Accord.NET (logo) BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservationLearn Method
Learns a model that can map the given inputs to the given outputs.

Namespace:  Accord.Statistics.Models.Markov.Learning
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.4.0
Syntax
public TClassifier Learn(
	TObservation[][] x,
	int[] y,
	double[] weights = null
)
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Parameters

x
Type: TObservation
The model inputs.
y
Type: SystemInt32
The desired outputs associated with each x.
weights (Optional)
Type: SystemDouble
The weight of importance for each input-output pair.

Return Value

Type: TClassifier
A model that has learned how to produce y given x.

Implements

ISupervisedLearningTModel, TInput, TOutputLearn(TInput, TOutput, Double)
See Also