Example usage for weka.core Instances deleteStringAttributes

Introduction

In this page you can find the example usage for weka.core Instances deleteStringAttributes.

Prototype

public void deleteStringAttributes() 

Source Link

Document

Deletes all string attributes in the dataset.

Usage

From source file:Clustering.WekaKMeansClustererWrapper.java

public ArrayList<String>[] classify(HashMap<String, List> data, boolean clearData) {
    ArrayList<String>[] clusterResult;
    try {/* w w w  .  j av  a  2 s .c  o  m*/
        File arff = m_ArffExporter.getArff(data);
        int nSize = data.size();
        if (arff == null)
            return null;
        if (clearData)
            data.clear();

        FileInputStream is = new FileInputStream(arff.getAbsolutePath());
        Instances instances = ConverterUtils.DataSource.read(is);
        is.close();

        String[] keys = new String[instances.numInstances()];
        for (int i = 0; i < instances.numInstances(); ++i) {
            Instance instance = instances.instance(i);
            keys[i] = instance.stringValue(0); // assume that the 0th attribute is the key string
        }

        instances.deleteStringAttributes();

        SimpleKMeans cl = new SimpleKMeans();

        int numClusters = m_NumberOfClusters < nSize ? m_NumberOfClusters : nSize;

        String[] options = new String[5];
        options[0] = "-O";
        options[1] = "-N";
        options[2] = Integer.toString(numClusters);
        options[3] = "-A";
        options[4] = m_DistanceFunction;

        cl.setOptions(options);

        //System.out.println( "Clustering" );
        cl.buildClusterer(instances);

        //System.out.println( "Create ArrayList" );
        clusterResult = new ArrayList[m_NumberOfClusters];
        for (int i = 0; i < m_NumberOfClusters; ++i) {
            clusterResult[i] = new ArrayList<>();
        }

        //System.out.println( "Assigning" );
        int[] assignment = cl.getAssignments();
        for (int i = 0; i < assignment.length; ++i) {
            clusterResult[assignment[i]].add(keys[i]);
        }

        //System.out.println( "Done" );
        if (!arff.delete())
            arff.deleteOnExit();
    } catch (Exception ex) {
        //System.out.println( "[EXCEPTION] " + ex.getMessage() );
        m_LastErrorMessage = ex.getMessage();
        return null;
    }

    return clusterResult;
}

---

From source file:com.github.r351574nc3.amex.assignment2.App.java

License:Open Source License

/**
 * Loads the MPG data file from UCI//from w  w w  .ja v a  2 s  . c  o m
 *
 * @param {@link String} intances of path of the dataset
 * @return {@link Instances} instance containing all records of the dataset.
 */
public Instances load(final String mpgFile) throws Exception {
    try {
        final Instances retval = DataSource.read(mpgFile);
        retval.setClassIndex(0);
        retval.deleteStringAttributes();
        return retval;
    } catch (Exception e) {
        error("%s:%s", UNABLE_TO_LOAD_DATA_MESSAGE, e.getClass().getSimpleName());
        e.printStackTrace();
    }

    return null;

}

---

From source file:FinalMineria.Reconocimiento.java

/**
 * Processes requests for both HTTP <code>GET</code> and <code>POST</code>
 * methods./*from ww w.ja v  a2 s  . c  om*/
 *
 * @param request servlet request
 * @param response servlet response
 * @throws ServletException if a servlet-specific error occurs
 * @throws IOException if an I/O error occurs
 */
protected void processRequest(HttpServletRequest request, HttpServletResponse response)
        throws ServletException, IOException, Exception {

    String accion = request.getParameter("accion");
    BufferedReader br = null;
    String ruta = request.getServletContext().getRealPath("/Recursos");
    br = new BufferedReader(new FileReader(ruta + "/nombres.txt"));
    linea = br.readLine();
    br.close();
    if ("Detener".equals(accion)) {
        grabar.finish();
        try {
            Thread.sleep(4000);
        } catch (InterruptedException ex) {
            Logger.getLogger(GrabarAudio.class.getName()).log(Level.SEVERE, null, ex);
        }
        String comando = "cmd /c " + request.getServletContext().getRealPath("/Recursos/OpenSmile")
                + "\\SMILExtract_Release.exe -C " + request.getServletContext().getRealPath("/Recursos/config")
                + "\\IS12_speaker_trait.conf -I " + request.getServletContext().getRealPath("/Recursos/audios")
                + "\\prueba.wav -O " + request.getServletContext().getRealPath("/Recursos/arff")
                + "\\prueba.arff -classes {" + linea + "} -classlabel ?";
        Process proceso = Runtime.getRuntime().exec(comando);
        proceso.waitFor();
        Instances prueba, conocimiento;
        try (BufferedReader archivoBase = new BufferedReader(new FileReader(
                request.getServletContext().getRealPath("/Recursos/arff") + "\\baseDatos.arff"))) {
            conocimiento = new Instances(archivoBase);
        }
        try (BufferedReader archivoPrueba = new BufferedReader(
                new FileReader(request.getServletContext().getRealPath("/Recursos/arff") + "\\prueba.arff"))) {
            prueba = new Instances(archivoPrueba);
        }

        conocimiento.deleteStringAttributes();
        conocimiento.setClassIndex(981);
        prueba.deleteStringAttributes();
        prueba.setClassIndex(981);
        Classifier clasificadorModelo = (Classifier) new NaiveBayes();
        clasificadorModelo.buildClassifier(conocimiento);
        double valorP = clasificadorModelo.classifyInstance(prueba.instance(prueba.numInstances() - 1));
        String prediccion = prueba.classAttribute().value((int) valorP);
        System.out.println(prediccion);
        request.setAttribute("prediccion", prediccion);
        RequestDispatcher dispatcher = request.getRequestDispatcher("./Hablante.jsp");
        dispatcher.forward(request, response);
    } else if ("Grabar".equals(accion)) {
        ruta = request.getServletContext().getRealPath("/Recursos/audios");
        grabar = new Grabador(ruta + "\\" + "prueba");
        Thread stopper = new Thread(new Runnable() {
            public void run() {
                try {
                    Thread.sleep(tiempo);
                } catch (InterruptedException ex) {
                    ex.printStackTrace();
                }
                grabar.finish();
            }
        });

        stopper.start();

        // start recording
        grabar.start();
        response.sendRedirect("./grabar.jsp");
    }
}

---