C# Класс OpenCvSharp.ML.NormalBayesClassifier

Bayes classifier for normally distributed data

Наследование: StatModel

Открытые методы

Метод	Описание
Create ( ) : NormalBayesClassifier	Creates empty model. Use StatModel::train to train the model after creation.
PredictProb ( InputArray inputs, OutputArray outputs, OutputArray outputProbs, int flags ) : float	Predicts the response for sample(s). The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix inputs. In case of multiple input vectors, there should be one output vector outputs. The predicted class for a single input vector is returned by the method. The vector outputProbs contains the output probabilities corresponding to each element of result.

Защищенные методы

Метод	Описание
Dispose ( bool disposing ) : void	Clean up any resources being used.
NormalBayesClassifier ( IntPtr p ) : System	Creates instance by raw pointer cv::ml::NormalBayesClassifier*

Описание методов

Create() публичный статический Метод

Creates empty model. Use StatModel::train to train the model after creation.

public static Create ( ) : NormalBayesClassifier
Результат	NormalBayesClassifier

Dispose() защищенный Метод

Clean up any resources being used.

protected Dispose ( bool disposing ) : void
disposing	bool	/// If disposing equals true, the method has been called directly or indirectly by a user's code. Managed and unmanaged resources can be disposed. /// If false, the method has been called by the runtime from inside the finalizer and you should not reference other objects. Only unmanaged resources can be disposed. ///
Результат	void

NormalBayesClassifier() защищенный Метод

Creates instance by raw pointer cv::ml::NormalBayesClassifier*

protected NormalBayesClassifier ( IntPtr p ) : System
p	System.IntPtr
Результат	System

PredictProb() публичный Метод

Predicts the response for sample(s).

The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix inputs. In case of multiple input vectors, there should be one output vector outputs. The predicted class for a single input vector is returned by the method. The vector outputProbs contains the output probabilities corresponding to each element of result.

public PredictProb ( InputArray inputs, OutputArray outputs, OutputArray outputProbs, int flags ) : float
inputs	InputArray
outputs	OutputArray
outputProbs	OutputArray
flags	int
Результат	float