add LICENCE file

src/test/TestA2CNES.java

@@ -94,36 +94,36 @@ public class TestA2CNES {
 		final Vector<Thread> threadList = new Vector<Thread>();
 			
 // <<<< START FOR PARAM config
-		for (int i = 0 ; i < 10 ; i++) {
-			final HybridClassification classif = (HybridClassification) classification.clone();
-			Data currentData = (Data) dataTest.clone();
-			final String path_to_add = resultPath + datasetName + "/";
-			classif.setName(datasetName+"_unconstrained"+"-"+i+ 
-					".clustering");
-			classif.setData(currentData);
-			
-			for (int a : ag_seeds) {
-				classif.addAgent(new ParametersKmeans(a, nb_iter, distanceModel,
-						distanceParameters, averageParameters), currentData);
-			}
-			
-// >>>> REPLACE PARAM
-			Thread t = new Thread() {
-				@Override
-				public void run() {
-					classif.classify();
-					System.out.println(classif.getName());
-					try {
-						new CSVResultWriter(classif, path_to_add + classif.getName()).write();
-					} catch (IOException e) {
-						e.printStackTrace();
-					}
-				}
-			};
-			t.start();
-
-			threadList.add(t);
-		}
+//		for (int i = 0 ; i < 10 ; i++) {
+//			final HybridClassification classif = (HybridClassification) classification.clone();
+//			Data currentData = (Data) dataTest.clone();
+//			final String path_to_add = resultPath + datasetName + "/";
+//			classif.setName(datasetName+"_unconstrained"+"-"+i+ 
+//					".clustering");
+//			classif.setData(currentData);
+//			
+//			for (int a : ag_seeds) {
+//				classif.addAgent(new ParametersKmeans(a, nb_iter, distanceModel,
+//						distanceParameters, averageParameters), currentData);
+//			}
+//			
+//// >>>> REPLACE PARAM
+//			Thread t = new Thread() {
+//				@Override
+//				public void run() {
+//					classif.classify();
+//					System.out.println(classif.getName());
+//					try {
+//						new CSVResultWriter(classif, path_to_add + classif.getName()).write();
+//					} catch (IOException e) {
+//						e.printStackTrace();
+//					}
+//				}
+//			};
+//			t.start();
+//
+//			threadList.add(t);
+//		}
 //// <<<< CONSTRAINTS
 	    try (DirectoryStream<Path> dirStream = Files.newDirectoryStream(
 	            Paths.get(dataPath+datasetName+"/test/"), "*.constraints")) {
@@ -162,7 +162,7 @@ public class TestA2CNES {
 	    			e.printStackTrace();
 	    		}
 	            
-	            for(int i = 0 ; i < 1; i++) {
+	            for(int i = 0 ; i < 2; i++) {
 		        	final HybridClassification classif = (HybridClassification) classification.clone();
 					Data currentData = (Data) dataTest.clone();
 					currentData.updateAndSetConstraintsToSample(constraints);