Change float usage in double + implementation of computeScoreTo function

pom.xml

@@ -24,6 +24,13 @@
             <version>5.3.1</version>
             <scope>test</scope>
         </dependency>
+        <!-- https://mvnrepository.com/artifact/info.debatty/java-aggregation -->
+        <dependency>
+            <groupId>info.debatty</groupId>
+            <artifactId>java-aggregation</artifactId>
+            <version>0.2</version>
+        </dependency>
+
     </dependencies>
     <build>
         <plugins>

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

 package be.cylab.java.wowa.training;
 
+import info.debatty.java.aggregation.WOWA;
+
 public class SolutionDistance {
 
     private double[] weights_w;
     private double[] weights_p;
     private double distance = Double.POSITIVE_INFINITY;
 
-    public float computeScoreTo() {
-        return 0;
+    public void computeScoreTo(double[][] data, double[] expected) {
+        this.distance = 0;
+        for (int i = 0; i < data.length; i++) {
+            double[] vector = data[i];
+            double target_value = expected[i];
+            WOWA wowa = new WOWA(this.weights_w, this.weights_p);
+            double aggregated_value = wowa.aggregates(vector);
+            this.distance += Math.pow(target_value - aggregated_value, 2);
+        }
+        this.distance = Math.sqrt(this.distance);
+
     }
 
-    public void randomlyMutateWithProbability(float probability) {
+    public void randomlyMutateWithProbability(double probability) {
 
     }
 

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

@@ -8,7 +8,7 @@ public class Trainer {
         this.parameters = parameters;
     }
 
-    public SolutionDistance run(float[][] data, float[] expected) {
+    public SolutionDistance run(double[][] data, double[] expected) {
 
     }
 
@@ -24,7 +24,7 @@ public class Trainer {
         return 0;
     }
 
-    public SolutionDistance[] computeDistances(SolutionDistance[] solutions, float[][] data, float[] expected) {
+    public SolutionDistance[] computeDistances(SolutionDistance[] solutions, double[][] data, double[] expected) {
 
     }
 
@@ -56,7 +56,7 @@ public class Trainer {
         return this.parameters;
     }
 
-    public SolutionDistance[] generateInitialPopulationAndComputeDistances(int populationSize, float[][] data, float[] expected) {
+    public SolutionDistance[] generateInitialPopulationAndComputeDistances(int populationSize, double[][] data, double[] expected) {
 
     }