/**
* 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.eval;
import org.apache.mahout.cf.taste.common.TasteException;
import org.apache.mahout.cf.taste.eval.IRStatistics;
import org.apache.mahout.cf.taste.eval.RecommenderBuilder;
import org.apache.mahout.cf.taste.eval.RecommenderIRStatsEvaluator;
import org.apache.mahout.cf.taste.impl.TasteTestCase;
import org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender;
import org.apache.mahout.cf.taste.model.DataModel;
import org.apache.mahout.cf.taste.recommender.Recommender;
public final class GenericRecommenderIRStatsEvaluatorImplTest extends TasteTestCase {
public void testEvaluate() throws Exception {
DataModel model = getDataModel();
RecommenderBuilder builder = new RecommenderBuilder() {
@Override
public Recommender buildRecommender(DataModel dataModel) throws TasteException {
return new SlopeOneRecommender(dataModel);
}
};
RecommenderIRStatsEvaluator evaluator = new GenericRecommenderIRStatsEvaluator();
IRStatistics stats = evaluator.evaluate(builder, model, null, 5, 0.2, 1.0);
assertNotNull(stats);
assertEquals(0.5, stats.getPrecision(), EPSILON);
assertEquals(1.0, stats.getRecall(), EPSILON);
assertEquals(0.6666666666666666, stats.getF1Measure(), EPSILON);
}
}