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.clustering.classify; import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; import org.apache.hadoop.io.Writable; import org.apache.mahout.clustering.AbstractCluster; import org.apache.mahout.math.Vector; import org.apache.mahout.math.VectorWritable; public class WeightedVectorWritable implements Writable { private final VectorWritable vectorWritable = new VectorWritable(); private double weight; public WeightedVectorWritable() { } public WeightedVectorWritable(double weight, Vector vector) { this.vectorWritable.set(vector); this.weight = weight; } public Vector getVector() { return vectorWritable.get(); } public void setVector(Vector vector) { vectorWritable.set(vector); } public double getWeight() { return weight; } @Override public void readFields(DataInput in) throws IOException { vectorWritable.readFields(in); weight = in.readDouble(); } @Override public void write(DataOutput out) throws IOException { vectorWritable.write(out); out.writeDouble(weight); } @Override public String toString() { Vector vector = vectorWritable.get(); return weight + ": " + (vector == null ? "null" : AbstractCluster.formatVector(vector, null)); } }