How to use WEKA API in Java - Java Machine Learning AI

Java examples for Machine Learning AI:weka

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Description

How to use WEKA API in Java

Demo Code

/*//from   w ww  .  j a  v  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;

//imports
import java.io.File;
import weka.core.Instances;
import weka.core.converters.ArffSaver;
import weka.core.converters.ConverterUtils.DataSource;
import weka.filters.Filter;
import weka.filters.unsupervised.instance.NonSparseToSparse;

public class Sparse {
    public static void main(String args[]) throws Exception {
        //load dataset
        DataSource source = new DataSource(
                "/home/likewise-open/ACADEMIC/csstnns/Desktop/sparse.arff");
        Instances dataset = source.getDataSet();
        //create NonSparseToSparse object to save in sparse ARFF format    
        NonSparseToSparse sp = new NonSparseToSparse();

        //specify the dataset
        sp.setInputFormat(dataset);
        //apply
        Instances newData = Filter.useFilter(dataset, sp);
        //save
        ArffSaver saver = new ArffSaver();
        saver.setInstances(newData);
        saver.setFile(new File(
                "/home/likewise-open/ACADEMIC/csstnns/Desktop/qdb3.arff"));
        saver.writeBatch();
    }
}

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