weka Classifier With Filter - Java Machine Learning AI

Java examples for Machine Learning AI:weka

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Description

weka Classifier With Filter

Demo Code

/*/*from  ww  w  .  j  av a 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.meta.FilteredClassifier;
import weka.classifiers.trees.J48;
import weka.filters.unsupervised.attribute.Remove;

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

        //the base classifier
        J48 tree = new J48();
        //the filter
        Remove remove = new Remove();
        //remove.setAttributeIndices("1");
        String[] opts = new String[] { "-R", "1" };
        //set the filter options
        remove.setOptions(opts);

        //Create the FilteredClassifier object
        FilteredClassifier fc = new FilteredClassifier();
        //specify filter
        fc.setFilter(remove);
        //specify base classifier
        fc.setClassifier(tree);
        //Build the meta-classifier
        fc.buildClassifier(dataset);

        //System.out.println(tree.graph());
    }

}

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