RecFacial

package RecFacial;

import java.io.*;
import weka.classifiers.Classifier;
import weka.classifiers.Evaluation;
import weka.classifiers.bayes.*;
import weka.core.*;
import weka.core.converters.*;

/*
 * @author ArCiGo
 */
public class RecFacial {

    public static void main(String[] args) throws Exception {

        try {
            //cargando datos marcados
            ArffLoader loader = new ArffLoader();
            loader.setFile(new File("recFacial.arff"));
            Instances structure = loader.getStructure();
            structure.setClassIndex(structure.numAttributes() - 1);

            //cargando datos no marcados
            //Instances unlabeled = new Instances(new BufferedReader(new FileReader("recfacial2.arff")));
            ArffLoader loader1 = new ArffLoader();
            loader1.setFile(new File("recFacial2.arff"));
            Instances unlabeled = loader1.getStructure();
            unlabeled.setClassIndex(unlabeled.numAttributes() - 1);

            /*Creando una copia*/
            Instances labeled=new Instances(unlabeled);

            Classifier nb=new NaiveBayes();
            nb.buildClassifier(structure);

            for (int i = 0; i < unlabeled.numInstances(); i++) {
                double clsLabel = nb.classifyInstance(unlabeled.instance(i));
                structure.instance(i).setClassValue(clsLabel);
                System.out.println(clsLabel+"->"+unlabeled.classAttribute().value((int)clsLabel));
            }
//            Evaluation eval=new Evaluation(structure);
//            eval.evaluateModel(cls, unlabeled);
//            System.out.println(eval.toSummaryString("\nResultados\n---\n", false));
//            train NaiveBayes
//            NaiveBayesUpdateable nb = new NaiveBayesUpdateable();
//            nb.buildClassifier(structure);
//            Instance current;
        } catch (Exception e) {
            System.err.println("Failed reading file");
        }
    }
}