我想使用序列化分類器對新實例進(jìn)行分類.我找到了這堂課,但我聽不懂.

arg [2] =類屬性名稱,arg [3] =基于實例的索引(從原始數(shù)據(jù)集中進(jìn)行預(yù)測)

這是此類的代碼：

import weka.core.*;

import weka.classifiers.*;

import java.io.*;

/**

* A little class for testing deserialization and prediction.

*

* @author FracPete (fracpet at waikat dot ac dot nz)

*/

public class Blah {

/**

* Takes 4 arguments:

*

*

serialized model

*

ARFF file

*

class attribute name

*

1-based index of an instance to predict from original dataset

*

*/

public static void main(String[] args) throws Exception {

// read the arff training file

BufferedReader reader = new BufferedReader(new FileReader(args[1]));

Instances in = new Instances(reader);

in.setClass(in.attribute(args[2]));

// instance to classify

int index = Integer.parseInt(args[3]) - 1;

Instance toClassifyInstance = (Instance) in.instance(index).copy();

toClassifyInstance.setClassValue(Instance.missingValue());

// deserialize model

Classifier cls = null;

ObjectInputStream ois = new ObjectInputStream(new FileInputStream(args[0]));

cls = (Classifier) ois.readObject();

ois.close();

// PREDICTION

double clsLabel = cls.classifyInstance(toClassifyInstance);

String classLabel = in.classAttribute().value((int) clsLabel);

System.out.println(classLabel + " =?= " + in.instance(index).stringValue(in.classIndex()));

}

}

提前致謝.

總結(jié)

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