基于WEKA的朴素贝叶斯（Naive Bayes）代码实现

1.Naive Bayes公式

2.代码

package weka.classifiers.myAlgorithm;

import weka.classifiers.Classifier;
import weka.core.Instance;
import weka.core.Instances;

public class NB extends Classifier
{
	
	public int m_NumInstance;
	public int m_NumAttribute;
	public int m_NumClass;
	/**
	 * 第j个属性的起始下标
	 */
	public int m_StartIndex[] = null;
	/**
	 * 统计类别c出现的次数
	 */
	public double[] m_CountClass = null;
	/**
	 * 统计属性值Aj在类别c的情况下出现的次数
	 */
	public double[][] m_CountAttandClass = null;

	@Override
	public void buildClassifier(Instances data) throws Exception
	{
		// TODO Auto-generated method stub
		//初始化
		m_NumInstance = data.numInstances();
		m_NumAttribute = data.numAttributes();
		m_NumClass = data.classAttrib