C# 클래스 Accord.MachineLearning.Boosting.Learners.DecisionStump

상속: IWeakClassifier

파일 보기 프로젝트 열기: accord-net/framework 1 사용 예제들

공개 메소드들

메소드	설명
Compute ( double inputs ) : int	Computes the output class label for a given input.
DecisionStump ( int inputs ) : System	Initializes a new instance of the DecisionStump class.
Learn ( double inputs, int outputs, double weights ) : void	Teaches the stump classifier to recognize the class labels of the given input samples.

메소드 상세

Compute() 공개 메소드

Computes the output class label for a given input.

public Compute ( double inputs ) : int
inputs	double	The input vector.
리턴	int

DecisionStump() 공개 메소드

Initializes a new instance of the DecisionStump class.

public DecisionStump ( int inputs ) : System
inputs	int	The number of inputs for this classifier.
리턴	System

Learn() 공개 메소드

Teaches the stump classifier to recognize the class labels of the given input samples.

public Learn ( double inputs, int outputs, double weights ) : void
inputs	double	The input vectors.
outputs	int	The class labels corresponding to each input vector.
weights	double	The weights associated with each input vector.
리턴	void