Update README.md : add maven installation

README.md

@@ -14,8 +14,16 @@ This project is a Java implementation of the [PHP wowa-training](https://gitlab.
 
 Using maven : 
 
-TO COMPLETE !
+```
+<dependency>
+    <groupId>be.cylab</groupId>
+    <artifactId>java-wowa-training</artifactId>
+    <version>0.0.3</version>
+</dependency>
+
+```
 
+https://mvnrepository.com/artifact/be.cylab/java-wowa-training
 
 
 ## Usage
@@ -31,7 +39,8 @@ public static void main(String[] args) {
     int selection_method = TrainerParameters.SELECTION_METHOD_RWS;
     int max_generation = 110;
     
-    TrainerParameters parameters = new TrainerParameters(logger, population_size, crossover_rate, mutation_rate, selection_method, max_generation);
+    TrainerParameters parameters = new TrainerParameters(logger, population_size, 
+        crossover_rate, mutation_rate, selection_method, max_generation);
     Trainer trainer = new Trainer(parameters);
     //Input data
     List<double[]> data = new ArrayList<double[]>();
@@ -54,7 +63,10 @@ public static void main(String[] args) {
 
 The example above will produce something like:
 ```
-SolutionDistance{weights_w=[0.1403303611048977, 0.416828569516884, 0.12511121306189063, 0.1872211165629538, 0.1305087298401635], weights_p=[0.0123494228072248, 0.10583088288437666, 0.5459452827654444, 0.17470250892324257, 0.1611718492107217], distance=8.114097675242476}
+SolutionDistance{
+  weights_w=[0.1403303611048977, 0.416828569516884, 0.12511121306189063, 0.1872211165629538, 0.1305087298401635],
+  weights_p=[0.0123494228072248, 0.10583088288437666, 0.5459452827654444, 0.17470250892324257, 0.1611718492107217],
+  distance=8.114097675242476}
 ```
 
 The **run** method returns a solution object, consisting of p weights and w weights to use with the WOWA operator, plus the total distance between the expected aggregated values that are given as parameter, and the aggregated values computed by WOWA using these weights.