libsvm使用

先挖个坑，有空重写svm_scale, svm_train, svm_predict几个代码，给的实在写的不敢恭维

package org.ml.svm;

import java.io.File;
import java.io.FileDescriptor;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.PrintStream;

public class SVMTest {
    
    public static void main(String[] args) throws IOException {
//        BufferedReader bf = new BufferedReader(new FileReader("data\\train.1"));
//        String line;
//        while((line = bf.readLine()) != null) System.out.println(line);
        
        //设置scale的参数，把输出重定向到文件中
        String[] scale_train_ops = 
            {"-l", "-1", "-u", "1", "-s", "data\\range1", "data\\train.1"};
        String[] scale_test_ops = {"-r", "data\\range1", "data\\test.1"};
        svm_scale s = new svm_scale();
        System.setOut(new PrintStream(new File("data\\train.1.scale")));
        s.main(scale_train_ops);
        System.setOut(new PrintStream(new File("data\\test.1.scale")));
        s.main(scale_test_ops);
        
        //把输出重定向会console上
        System.setOut(new PrintStream(new FileOutputStream(FileDescriptor.out)));
        
        //设置训练和测试的参数
        String[] train_ops = {"data\\train.1.scale", "data\\train.1.model"};
        String[] test_ops = {"data\\test.1.scale", "data\\train.1.model", "data\\out.1"};
        
        System.out.println("SVM start:");
        svm_train t = new svm_train();
        svm_predict p = new svm_predict();
        t.main(train_ops);
        p.main(test_ops);
        
    }
}