/** * 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.mahout.cf.taste.impl.similarity; import org.apache.mahout.cf.taste.model.DataModel; import org.junit.Test; /** <p>Tests {@link LogLikelihoodSimilarity}.</p> */ public final class LogLikelihoodSimilarityTest extends SimilarityTestCase { @Test public void testCorrelation() throws Exception { DataModel dataModel = getDataModel( new long[] {1, 2, 3, 4, 5}, new Double[][] { {1.0, 1.0}, {1.0, null, 1.0}, {null, null, 1.0, 1.0, 1.0}, {1.0, 1.0, 1.0, 1.0, 1.0}, {null, 1.0, 1.0, 1.0, 1.0}, }); LogLikelihoodSimilarity similarity = new LogLikelihoodSimilarity(dataModel); assertCorrelationEquals(0.12160727029227925, similarity.itemSimilarity(1, 0)); assertCorrelationEquals(0.12160727029227925, similarity.itemSimilarity(0, 1)); assertCorrelationEquals(0.5423213660693732, similarity.itemSimilarity(1, 2)); assertCorrelationEquals(0.5423213660693732, similarity.itemSimilarity(2, 1)); assertCorrelationEquals(0.6905400104897509, similarity.itemSimilarity(2, 3)); assertCorrelationEquals(0.6905400104897509, similarity.itemSimilarity(3, 2)); assertCorrelationEquals(0.8706358464330881, similarity.itemSimilarity(3, 4)); assertCorrelationEquals(0.8706358464330881, similarity.itemSimilarity(4, 3)); } @Test public void testNoSimilarity() throws Exception { DataModel dataModel = getDataModel( new long[] {1, 2, 3, 4}, new Double[][] { {1.0, null, 1.0, 1.0}, {1.0, null, 1.0, 1.0}, {null, 1.0, 1.0, 1.0}, {null, 1.0, 1.0, 1.0}, }); LogLikelihoodSimilarity similarity = new LogLikelihoodSimilarity(dataModel); assertCorrelationEquals(Double.NaN, similarity.itemSimilarity(1, 0)); assertCorrelationEquals(Double.NaN, similarity.itemSimilarity(0, 1)); assertCorrelationEquals(0.0, similarity.itemSimilarity(2, 3)); assertCorrelationEquals(0.0, similarity.itemSimilarity(3, 2)); } @Test public void testRefresh() { // Make sure this doesn't throw an exception new LogLikelihoodSimilarity(getDataModel()).refresh(null); } }