use weka classifiers functions LinearRegression - Java Machine Learning AI

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Description

use weka classifiers functions LinearRegression

Demo Code

/*/* w  ww .  java  2 s .c o  m*/
 *  How to use WEKA API in Java 
 *  Copyright (C) 2014 
 *  @author Dr Noureddin M. Sadawi (noureddin.sadawi@gmail.com)
 *  
 *  This program is free software: you can redistribute it and/or modify
 *  it as you wish ... 
 *  I ask you only, as a professional courtesy, to cite my name, web page 
 *  and my YouTube Channel!
 *  
 */

package weka.api;

//import required classes
import weka.core.Instances;
import weka.core.converters.ConverterUtils.DataSource;
import weka.classifiers.functions.LinearRegression;

//import weka.classifiers.functions.SMOreg;
public class Regression {
    public static void main(String args[]) throws Exception {
        //load dataset
        DataSource source = new DataSource(
                "/home/likewise-open/ACADEMIC/csstnns/Desktop/qdb1.arff");
        Instances dataset = source.getDataSet();
        //set class index to the last attribute
        dataset.setClassIndex(dataset.numAttributes() - 1);

        //build model
        LinearRegression lr = new LinearRegression();
        lr.buildClassifier(dataset);
        //output model
        System.out.println(lr);
        /*
        //build model
        SMOreg smo = new SMOreg();
        smo.buildClassifier(dataset);
        //output model
        System.out.println(smo);
         */
    }
}

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