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.vectorizer.common; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.io.WritableComparable; import org.apache.hadoop.mapreduce.Reducer; import org.apache.mahout.math.NamedVector; import org.apache.mahout.math.RandomAccessSparseVector; import org.apache.mahout.math.SequentialAccessSparseVector; import org.apache.mahout.math.Vector; import org.apache.mahout.math.VectorWritable; import org.apache.mahout.math.function.Functions; /** * Merges partial vectors in to a full sparse vector */ public class PartialVectorMergeReducer extends Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable> { private double normPower; private int dimension; private boolean sequentialAccess; private boolean namedVector; private boolean logNormalize; @Override protected void reduce(WritableComparable<?> key, Iterable<VectorWritable> values, Context context) throws IOException, InterruptedException { Vector vector = new RandomAccessSparseVector(dimension, 10); for (VectorWritable value : values) { vector.assign(value.get(), Functions.PLUS); } if (normPower != PartialVectorMerger.NO_NORMALIZING) { if (logNormalize) { vector = vector.logNormalize(normPower); } else { vector = vector.normalize(normPower); } } if (sequentialAccess) { vector = new SequentialAccessSparseVector(vector); } if (namedVector) { vector = new NamedVector(vector, key.toString()); } // drop empty vectors. if (vector.getNumNondefaultElements() > 0) { VectorWritable vectorWritable = new VectorWritable(vector); context.write(key, vectorWritable); } } @Override protected void setup(Context context) throws IOException, InterruptedException { super.setup(context); Configuration conf = context.getConfiguration(); normPower = conf.getFloat(PartialVectorMerger.NORMALIZATION_POWER, PartialVectorMerger.NO_NORMALIZING); dimension = conf.getInt(PartialVectorMerger.DIMENSION, Integer.MAX_VALUE); sequentialAccess = conf.getBoolean(PartialVectorMerger.SEQUENTIAL_ACCESS, false); namedVector = conf.getBoolean(PartialVectorMerger.NAMED_VECTOR, false); logNormalize = conf.getBoolean(PartialVectorMerger.LOG_NORMALIZE, false); } }