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实验环境：本实验基于Hadoop2.6.0以及JDK1.8.0
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测试数据：本实验测试数据须符合以下形式(以制表符分隔)：
属性A 属性B 属性C ... 分类 -
使用方法：
启动Hadoop;
在HDFS分布式文件系统上进行必要准备：
/usr/local/hadoop/bin/hdfs dfs -mkdir /naivebayes
/usr/local/hadoop/bin/hdfs dfs -put <训练集> <测试集> /naivebayes/Data
编译Java文件并打包：
javac NaiveBayesClass.java
jar –cvf NaiveBayesClass.jar NaiveBayesClass*.class
javac NaiveBayesAttribute.java
jar –cvf NaiveBayesAttribute .jar NaiveBayesAttribute*.class
javac NaiveBayesPro.java
jar –cvf NaiveBayesPro.jar NaiveBayesPro*.class
javac NaiveBayesTest.java
jar –cvf NaiveBayesTest.jar NaiveBayesTest*.class
javac NaiveBayesCount.java
jar –cvf NaiveBayesCount.jar NaiveBayesCount*.class
对分类进行统计并查看输出：
/usr/local/hadoop/bin/hadoop jar NaiveBayesClass.jar NaiveBayesClass /naivebayes/Data/<训练集> /naivebayes/Classify/class_output
/usr/local/hadoop/bin/hdfs dfs -cat /naivebayes/Classify/class_output/*
对属性进行统计并查看输出：
/usr/local/hadoop/bin/hadoop jar NaiveBayesAttribute.jar NaiveBayesAttribute /naivebayes/Data/<训练集> /naivebayes/Classify/attr_output
/usr/local/hadoop/bin/hdfs dfs -cat /naivebayes/Classify/attr_output/*
生成概率表并查看输出：
/usr/local/hadoop/bin/hadoop jar NaiveBayesPro.jar NaiveBayesPro /naivebayes/Classify/* /naivebayes/Pro_output
/usr/local/hadoop/bin/hdfs dfs -cat /naivebayes/Pro_output/*
对测试集进行预测、判断正确与否，并查看输出：
/usr/local/hadoop/bin/hadoop jar NaiveBayesTest.jar NaiveBayesTest /naivebayes/Data/<测试集> /naivebayes/Test_output
/usr/local/hadoop/bin/hdfs dfs -cat /naivebayes/Test_output/*
统计正确和错误的个数，并查看输出：
/usr/local/hadoop/bin/hadoop jar NaiveBayesCount/NaiveBayesCount.jar NaiveBayesCount /naivebayes/Test_output/* /naivebayes/Count_output
/usr/local/hadoop/bin/hdfs dfs -cat /naivebayes/Count_output/*