/**
* 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);
}
}