@@ -0,0 +1,2131 @@
+/*%0A * Java Genetic Algorithm Library (@__identifier__@).%0A * Copyright (c) @__year__@ Franz Wilhelmst%C3%B6tter%0A *%0A * Licensed under the Apache License, Version 2.0 (the %22License%22);%0A * you may not use this file except in compliance with the License.%0A * You may obtain a copy of the License at%0A *%0A *      http://www.apache.org/licenses/LICENSE-2.0%0A *%0A * Unless required by applicable law or agreed to in writing, software%0A * distributed under the License is distributed on an %22AS IS%22 BASIS,%0A * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.%0A * See the License for the specific language governing permissions and%0A * limitations under the License.%0A *%0A * Author:%0A *    Franz Wilhelmst%C3%B6tter (franz.wilhelmstoetter@gmail.com)%0A */%0Apackage io.jenetics.prog.regression;%0A%0Aimport org.testng.Assert;%0Aimport org.testng.annotations.Test;%0A%0A/**%0A * @author %3Ca href=%22mailto:franz.wilhelmstoetter@gmail.com%22%3EFranz Wilhelmst%C3%B6tter%3C/a%3E%0A */%0Apublic class LossFunctionTest %7B%0A%0A%09@Test%0A%09public void mse() %7B%0A%09%09final double%5B%5D expected = new double%5B100%5D;%0A%09%09final double%5B%5D calculated = new double%5B100%5D;%0A%0A%09%09for (int i = 0; i %3C expected.length; ++i) %7B%0A%09%09%09expected%5Bi%5D = i;%0A%09%09%09calculated%5Bi%5D = i + 1;%0A%09%09%7D%0A%09%09Assert.assertEquals(LossFunction.mse(calculated, expected), 1.0);%0A%0A%09%09for (int i = 0; i %3C expected.length; ++i) %7B%0A%09%09%09calculated%5Bi%5D = i + 2;%0A%09%09%7D%0A%09%09Assert.assertEquals(LossFunction.mse(calculated, expected), 4.0);%0A%0A%09%09for (int i = 0; i %3C expected.length; ++i) %7B%0A%09%09%09calculated%5Bi%5D = i + 3;%0A%09%09%7D%0A%09%09Assert.assertEquals(LossFunction.mse(calculated, expected), 9.0);%0A%09%7D%0A%0A%09@Test%0A%09public void mae() %7B%0A%09%09final double%5B%5D expected = new double%5B100%5D;%0A%09%09final double%5B%5D calculated = new double%5B100%5D;%0A%0A%09%09for (int i = 0; i %3C expected.length; ++i) %7B%0A%09%09%09expected%5Bi%5D = i;%0A%09%09%09calculated%5Bi%5D = i + 1;%0A%09%09%7D%0A%09%09Assert.assertEquals(LossFunction.mae(calculated, expected), 1.0);%0A%0A%09%09for (int i = 0; i %3C expected.length; ++i) %7B%0A%09%09%09calculated%5Bi%5D = i + 2;%0A%09%09%7D%0A%09%09Assert.assertEquals(LossFunction.mae(calculated, expected), 2.0);%0A%0A%09%09for (int i = 0; i %3C expected.length; ++i) %7B%0A%09%09%09calculated%5Bi%5D = i + 3;%0A%09%09%7D%0A%09%09Assert.assertEquals(LossFunction.mae(calculated, expected), 3.0);%0A%09%7D%0A%0A%7D%0A

Implement unit test for loss-functions.