如何在java代码中加载.csv文件以使用weka进行测试？

Question

我从weka分类获得的模型，我想测试它在Java代码中，但是当我读到的情况下，一个错误出现：

Exception in thread "main" java.io.IOException: keyword @relation expected, read Token[Word], line 1 
at weka.core.Instances.errms(Instances.java:1863) 
at weka.core.Instances.readHeader(Instances.java:1740) 
at weka.core.Instances.<init>(Instances.java:119) 
at licenta1.LoadModelWeka.main(LoadModelWeka.java:18) 

我的代码是：

package licenta1; 

import weka.core.Instances; 
import weka.classifiers.bayes.NaiveBayes; 
import weka.classifiers.trees.J48; 
import weka.classifiers.Evaluation; 

import java.util.Random; 
import java.io.BufferedReader; 
import java.io.FileReader ; 

public class LoadModelWeka 
{ 
    public static void main(String[] args) throws Exception { 
    // training 
     BufferedReader reader = null; 
     reader=new BufferedReader(new FileReader("D:\\aaaaaaaaaaaaaaaaaaaaaa\\Licenta\\BioArtLicTrainSetTask1.csv")); 
     Instances train =new Instances (reader); 
     train.setClassIndex(0);  
     reader.close(); 

     NaiveBayes nb = new NaiveBayes(); 
     nb.buildClassifier(train); 
     Evaluation eval = new Evaluation(train); 
     eval.crossValidateModel(nb, train, 10 , new Random(1)); 

     System.out.println(eval.toSummaryString("\n Results \n=====\n",true)); 
     System.out.println(eval.fMeasure(1)+" "+eval.precision(1)+" "+eval.recall(1)+" ");   
    } 
} 

有人能帮我？ 山训练集是.csv格式

Answer 1

而不是使用缓冲读者的你可以尝试

DataSource source = new DataSource("/some/where/data.arff"); 

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