Add some logs

src/main/java/be/cylab/java/wowa/training/MainTest.java

@@ -59,7 +59,7 @@ public final class MainTest {
         NeuralNetwork nn = new NeuralNetwork(nn_parameters);
 
         TrainingDataset dataset = new TrainingDataset(data, expected);
-        List<TrainingDataset> folds = dataset.prepareFolds(10);
+        List<TrainingDataset> folds = dataset.prepareFolds(3);
 
         HashMap<MultiLayerNetwork, Double> map_nn = nn.runKFold(folds, 10);
         HashMap<AbstractSolution, Double> map_wt = trainer.runKFold(folds, 10);
@@ -72,12 +72,12 @@ public final class MainTest {
         }
 
         System.out.println("Average AUC for Neural Network learning : "
-                + nn_score / 10);
+                + nn_score / 3);
 
         for (Double d : map_wt.values()) {
             wt_score = wt_score + d;
         }
 
-        System.out.println("Average AUC for WOWA learning : " + wt_score / 10);
+        System.out.println("Average AUC for WOWA learning : " + wt_score / 3);
     }
 }

src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java

@@ -265,11 +265,11 @@ public final class NeuralNetwork {
             }
             TrainingDataset dataset_increased = learning_fold.increaseTrueAlert(
                     increase_ratio);
+            System.out.println("Fold number : " + (i + 1));
             MultiLayerNetwork nn = run(
                     dataset_increased.getData(),
                     dataset_increased.getExpected());
             Double score = modelEvaluation(testingfold, nn);
-
             map.put(nn, score);
         }
         return map;

src/main/java/be/cylab/java/wowa/training/Trainer.java

 package be.cylab.java.wowa.training;
 
 
-import java.util.*;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Random;
 import java.util.logging.Level;
 
 /**
@@ -178,6 +182,7 @@ public class Trainer {
             Double score = sol.computeAUC(
                     testing.getData(),
                     testing.getExpected());
+            System.out.println("Fold number : " + (i + 1) + "AUC : " + score);
 
             map.put(sol, score);
         }