/**
* 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 TanimotoCoefficientSimilarity}.</p> */
public final class TanimotoCoefficientSimilarityTest extends SimilarityTestCase {
@Test
public void testNoCorrelation() throws Exception {
DataModel dataModel = getDataModel(
new long[] {1, 2},
new Double[][] {
{null, 2.0, 3.0},
{1.0},
});
double correlation = new TanimotoCoefficientSimilarity(dataModel).userSimilarity(1, 2);
assertCorrelationEquals(Double.NaN, correlation);
}
@Test
public void testFullCorrelation1() throws Exception {
DataModel dataModel = getDataModel(
new long[] {1, 2},
new Double[][] {
{1.0},
{1.0},
});
double correlation = new TanimotoCoefficientSimilarity(dataModel).userSimilarity(1, 2);
assertCorrelationEquals(1.0, correlation);
}
@Test
public void testFullCorrelation2() throws Exception {
DataModel dataModel = getDataModel(
new long[] {1, 2},
new Double[][] {
{1.0, 2.0, 3.0},
{1.0},
});
double correlation = new TanimotoCoefficientSimilarity(dataModel).userSimilarity(1, 2);
assertCorrelationEquals(0.3333333333333333, correlation);
}
@Test
public void testCorrelation1() throws Exception {
DataModel dataModel = getDataModel(
new long[] {1, 2},
new Double[][] {
{null, 2.0, 3.0},
{1.0, 1.0},
});
double correlation = new TanimotoCoefficientSimilarity(dataModel).userSimilarity(1, 2);
assertEquals(0.3333333333333333, correlation, EPSILON);
}
@Test
public void testCorrelation2() throws Exception {
DataModel dataModel = getDataModel(
new long[] {1, 2},
new Double[][] {
{null, 2.0, 3.0, 1.0},
{1.0, 1.0, null, 0.0},
});
double correlation = new TanimotoCoefficientSimilarity(dataModel).userSimilarity(1, 2);
assertEquals(0.5, correlation, EPSILON);
}
@Test
public void testRefresh() {
// Make sure this doesn't throw an exception
new TanimotoCoefficientSimilarity(getDataModel()).refresh(null);
}
@Test
public void testReturnNaNDoubleWhenNoSimilaritiesForTwoItems() throws Exception {
DataModel dataModel = getDataModel(
new long[] {1, 2},
new Double[][] {
{null, null, 3.0},
{1.0, 1.0, null},
});
Double similarity = new TanimotoCoefficientSimilarity(dataModel).itemSimilarity(1, 2);
assertEquals(Double.NaN, similarity, EPSILON);
}
@Test
public void testItemsSimilarities() throws Exception {
DataModel dataModel = getDataModel(
new long[] {1, 2},
new Double[][] {
{2.0, null, 2.0},
{1.0, 1.0, 1.0},
});
TanimotoCoefficientSimilarity tCS = new TanimotoCoefficientSimilarity(dataModel);
assertEquals(0.5, tCS.itemSimilarity(0, 1), EPSILON);
assertEquals(1, tCS.itemSimilarity(0, 2), EPSILON);
double[] similarities = tCS.itemSimilarities(0, new long [] {1, 2});
assertEquals(0.5, similarities[0], EPSILON);
assertEquals(1, similarities[1], EPSILON);
}
}