Java tutorial
/** * 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.hadoop.similarity.item; import java.io.IOException; import java.util.Iterator; import org.apache.hadoop.io.DoubleWritable; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.MapReduceBase; import org.apache.hadoop.mapred.OutputCollector; import org.apache.hadoop.mapred.Reducer; import org.apache.hadoop.mapred.Reporter; import org.apache.mahout.cf.taste.hadoop.EntityEntityWritable; import org.apache.mahout.cf.taste.hadoop.similarity.CoRating; import org.apache.mahout.cf.taste.hadoop.similarity.DistributedItemSimilarity; /** * Finally compute the similarity for each item-pair, that has been corated at least once. * Computation is done with an external implementation of {@link DistributedItemSimilarity}. */ public final class SimilarityReducer extends MapReduceBase implements Reducer<ItemPairWritable, CoRating, EntityEntityWritable, DoubleWritable> { private DistributedItemSimilarity distributedItemSimilarity; private int numberOfUsers; @Override public void configure(JobConf jobConf) { super.configure(jobConf); distributedItemSimilarity = ItemSimilarityJob .instantiateSimilarity(jobConf.get(ItemSimilarityJob.DISTRIBUTED_SIMILARITY_CLASSNAME)); numberOfUsers = jobConf.getInt(ItemSimilarityJob.NUMBER_OF_USERS, -1); if (numberOfUsers <= 0) { throw new IllegalStateException("Number of users was not set correctly"); } } @Override public void reduce(ItemPairWritable pair, Iterator<CoRating> coRatings, OutputCollector<EntityEntityWritable, DoubleWritable> output, Reporter reporter) throws IOException { double similarity = distributedItemSimilarity.similarity(coRatings, pair.getItemAWeight(), pair.getItemBWeight(), numberOfUsers); if (!Double.isNaN(similarity)) { output.collect(pair.getItemItemWritable(), new DoubleWritable(similarity)); } } }