Fix checkstyle issues

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

@@ -4,7 +4,11 @@ import java.util.Arrays;
 import java.util.List;
 import java.util.Random;
 
-public abstract class AbstractSolution implements Comparable<AbstractSolution>, Cloneable{
+/**
+ * Abstract class Solution.
+ */
+public abstract class AbstractSolution
+        implements Comparable<AbstractSolution>, Cloneable {
 
     protected double[] weights_w;
     protected double[] weights_p;
@@ -61,6 +65,7 @@ public abstract class AbstractSolution implements Comparable<AbstractSolution>,
     /**
      * Change a random gene in a weight vector.
      * The gene is changed is the probability is higher than a random double
+     *
      * @param probability
      */
     final void randomlyMutateWithProbability(final double probability) {
@@ -100,7 +105,7 @@ public abstract class AbstractSolution implements Comparable<AbstractSolution>,
     }
 
     /**
-     *Function to normalize SolutionDistance weights.
+     * Function to normalize SolutionDistance weights.
      * Weights must be between 0 and 1 and the sum of the weight in a vector
      * must be equal to 1
      */
@@ -116,6 +121,9 @@ public abstract class AbstractSolution implements Comparable<AbstractSolution>,
         return distance;
     }
 
+    /**
+     * @param distance
+     */
     public final void setDistance(final double distance) {
         return;
     }
@@ -149,7 +157,6 @@ public abstract class AbstractSolution implements Comparable<AbstractSolution>,
     }
 
 
-
     /**
      * Copy.
      *

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

 package be.cylab.java.wowa.training;
 
-import be.cylab.java.roc.Point;
 import info.debatty.java.aggregation.WOWA;
 
-import java.util.ArrayList;
 import java.util.List;
 
+/**
+ * Child class Solution.
+ * Fitness criterion is AUC
+ */
 public class SolutionAUC extends AbstractSolution {
-
-    public SolutionAUC(int weight_number) {
+    /**
+     * Default constructor.
+     * @param weight_number
+     */
+    public SolutionAUC(final int weight_number) {
         super(weight_number);
     }
 
-    final void computeScoreTo(List<double[]> data, double[] expected) {
+    final void computeScoreTo(
+            final List<double[]> data,
+            final double[] expected) {
         this.distance = 0;
         double[] aggregated_values = new double[data.size()];
         WOWA wowa = new WOWA(this.weights_w, this.weights_p);

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

@@ -19,6 +19,11 @@ public class SolutionDistance extends AbstractSolution {
         super(weights_number);
     }
 
+    /**
+     * Constructor used for tests.
+     * @param weights_number
+     * @param seed
+     */
     public SolutionDistance(final int weights_number, final int seed) {
         super(weights_number, seed);
     }