Java tutorial
/* * To change this license header, choose License Headers in Project Properties. * To change this template file, choose Tools | Templates * and open the template in the editor. */ package eyetracker; import java.io.FileNotFoundException; import java.io.FileReader; import java.io.IOException; import weka.classifiers.Evaluation; import weka.classifiers.functions.MultilayerPerceptron; import weka.core.Instances; import weka.core.Utils; /** * * @author Thien Dinh & Cody Klegraefe */ public class MLPProcessor { private MultilayerPerceptron mlp; public static Instances inst; public MLPProcessor() { try { FileReader fr = new FileReader("trainingData.arff"); Instances training = new Instances(fr); training.setClassIndex(training.numAttributes() - 1); mlp = new MultilayerPerceptron(); mlp.setOptions(Utils.splitOptions("-L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H 5")); mlp.buildClassifier(training); FileReader tr = new FileReader("trainingData.arff"); Instances testdata = new Instances(tr); inst = testdata; testdata.setClassIndex(testdata.numAttributes() - 1); Evaluation eval = new Evaluation(training); eval.evaluateModel(mlp, testdata); System.out.println(eval.toSummaryString("\nResults\n*******\n", false)); tr.close(); fr.close(); } catch (FileNotFoundException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } catch (Exception e) { e.printStackTrace(); } } public MultilayerPerceptron getMLP() { return mlp; } }