NaiveBayesLearningBase(TModel, TDistribution, TInput, TOptions).Learn Method (TInput[][], Double[][], Double[])
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NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptionsLearn Method (TInput, Double, Double)

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

Namespace:  Accord.MachineLearning.Bayes
Assembly:  Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
public virtual TModel Learn(
	TInput[][] x,
	double[][] y,
	double[] weight = null
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Type: TInput
The model inputs.
Type: SystemDouble
The desired outputs associated with each x.
weight (Optional)
Type: SystemDouble
The weight of importance for each input-output pair.

Return Value

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


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