| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| package org.apache.ignite.ml.math.distances; |
| |
| import java.util.Arrays; |
| import java.util.Collection; |
| import org.apache.ignite.ml.math.primitives.vector.Vector; |
| import org.apache.ignite.ml.math.primitives.vector.impl.DenseVector; |
| import org.junit.Test; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.Parameterized; |
| |
| import static org.junit.Assert.assertEquals; |
| |
| /** |
| * Evaluate WeightedMinkowski in multiple test datasets |
| */ |
| @RunWith(Parameterized.class) |
| public class WeightedMinkowskiDistanceTest { |
| /** Precision. */ |
| private static final double PRECISION = 0.01; |
| |
| /** */ |
| @Parameterized.Parameters(name = "{0}") |
| public static Collection<TestData> data() { |
| return Arrays.asList( |
| new TestData( |
| new double[] {1.0, 0.0, 0.0}, |
| new double[] {0.0, 1.0, 0.0}, |
| 1, |
| new double[] {2.0, 3.0, 4.0}, |
| 5.0 |
| ), |
| new TestData( |
| new double[] {1.0, 0.0, 0.0}, |
| new double[] {0.0, 1.0, 0.0}, |
| 2, |
| new double[] {2.0, 3.0, 4.0}, |
| 3.60 |
| ), |
| new TestData( |
| new double[] {1.0, 0.0, 0.0}, |
| new double[] {0.0, 1.0, 0.0}, |
| 3, |
| new double[] {2.0, 3.0, 4.0}, |
| 3.27 |
| ) |
| ); |
| } |
| |
| /** */ |
| private final TestData testData; |
| |
| /** */ |
| public WeightedMinkowskiDistanceTest(TestData testData) { |
| this.testData = testData; |
| } |
| |
| /** */ |
| @Test |
| public void testWeightedMinkowski() { |
| DistanceMeasure distanceMeasure = new WeightedMinkowskiDistance(testData.p, testData.weights); |
| |
| assertEquals(testData.expRes, |
| distanceMeasure.compute(testData.vectorA, testData.vectorB), PRECISION); |
| assertEquals(testData.expRes, |
| distanceMeasure.compute(testData.vectorA, testData.vectorB), PRECISION); |
| } |
| |
| /** */ |
| private static class TestData { |
| /** */ |
| public final Vector vectorA; |
| |
| /** */ |
| public final Vector vectorB; |
| |
| /** */ |
| public final Integer p; |
| |
| /** */ |
| public final double[] weights; |
| |
| /** */ |
| public final Double expRes; |
| |
| /** */ |
| private TestData(double[] vectorA, double[] vectorB, Integer p, double[] weights, double expRes) { |
| this.vectorA = new DenseVector(vectorA); |
| this.vectorB = new DenseVector(vectorB); |
| this.p = p; |
| this.weights = weights; |
| this.expRes = expRes; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override public String toString() { |
| return String.format("d(%s,%s;%s,%s) = %s", |
| Arrays.toString(vectorA.asArray()), |
| Arrays.toString(vectorB.asArray()), |
| p, |
| Arrays.toString(weights), |
| expRes |
| ); |
| } |
| } |
| } |