/**
* 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.common.TasteException;
import org.apache.mahout.cf.taste.similarity.PreferenceInferrer;
import org.apache.mahout.cf.taste.impl.TasteTestCase;
import org.apache.mahout.cf.taste.impl.model.GenericDataModel;
import org.apache.mahout.cf.taste.impl.model.GenericItem;
import org.apache.mahout.cf.taste.model.DataModel;
import org.apache.mahout.cf.taste.model.Item;
import org.apache.mahout.cf.taste.model.User;
import java.util.Collections;
/**
* <p>Tests {@link AveragingPreferenceInferrer}.</p>
*/
public final class AveragingPreferenceInferrerTest extends TasteTestCase {
public void testInferrer() throws TasteException {
User user1 = getUser("test1", 3.0, -2.0, 5.0);
Item item = new GenericItem<String>("3");
DataModel model = new GenericDataModel(Collections.singletonList(user1));
PreferenceInferrer inferrer = new AveragingPreferenceInferrer(model);
double inferred = inferrer.inferPreference(user1, item);
assertEquals(2.0, inferred);
}
}