/** * 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.clustering.dirichlet; import java.io.IOException; import java.util.List; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Reducer; import org.apache.mahout.clustering.Cluster; import org.apache.mahout.math.VectorWritable; public class DirichletReducer extends Reducer<Text,VectorWritable,Text,DirichletCluster> { private DirichletClusterer clusterer; private Cluster[] newModels; public Cluster[] getNewModels() { return newModels; } @Override protected void setup(Context context) throws IOException, InterruptedException { super.setup(context); DirichletState state = DirichletMapper.getDirichletState(context.getConfiguration()); clusterer = new DirichletClusterer(state); List<DirichletCluster> oldModels = state.getClusters(); for (DirichletCluster cluster : oldModels) { cluster.getModel().configure(context.getConfiguration()); } this.newModels = (Cluster[]) state.getModelFactory().sampleFromPosterior(state.getModels()); for (Cluster cluster : newModels) { cluster.configure(context.getConfiguration()); } } @Override protected void reduce(Text key, Iterable<VectorWritable> values, Context context) throws IOException, InterruptedException { int k = Integer.parseInt(key.toString()); Cluster model = newModels[k]; for (VectorWritable value : values) { // only observe real points, not the empty placeholders emitted by each mapper if (value.get().size() > 0) { model.observe(value); } } DirichletCluster cluster = clusterer.updateCluster(model, k); context.write(new Text(String.valueOf(k)), cluster); } public void setup(DirichletState state) { clusterer = new DirichletClusterer(state); List<DirichletCluster> oldModels = state.getClusters(); for (DirichletCluster cluster : oldModels) { cluster.getModel().configure(new Configuration()); } this.newModels = (Cluster[]) state.getModelFactory().sampleFromPosterior(state.getModels()); for (Cluster cluster : newModels) { cluster.configure(new Configuration()); } } }