use weka Attribute Filter - Java Machine Learning AI

Java examples for Machine Learning AI:weka

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Description

use weka Attribute Filter

Demo Code

/*// w w  w  .j  a  v a2 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.ArffSaver;
import java.io.File;
import weka.core.converters.ConverterUtils.DataSource;
import weka.filters.Filter;
import weka.filters.unsupervised.attribute.Remove;

public class AttributeFilter {
    public static void main(String args[]) throws Exception {
        //load dataset
        DataSource source = new DataSource(
                "/home/likewise-open/ACADEMIC/csstnns/Desktop/qdb.arff");
        Instances dataset = source.getDataSet();

        //use a simple filter to remove a certain attribute  
        //set up options to remove 1st attribute  
        String[] opts = new String[] { "-R", "1" };
        //create a Remove object (this is the filter class)
        Remove remove = new Remove();
        //set the filter options
        remove.setOptions(opts);
        //pass the dataset to the filter
        remove.setInputFormat(dataset);
        //apply the filter
        Instances newData = Filter.useFilter(dataset, remove);

        //now save the dataset to a new file as we learned before
        ArffSaver saver = new ArffSaver();
        saver.setInstances(newData);
        saver.setFile(new File(
                "/home/likewise-open/ACADEMIC/csstnns/Desktop/qdb1.arff"));
        saver.writeBatch();
    }
}

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