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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 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.classifier.bayes.mapreduce.bayes;
import  org.apache.hadoop.mapred.MapReduceBase;
import  org.apache.hadoop.mapred.OutputCollector;
import  org.apache.hadoop.mapred.Reducer;
import  org.apache.hadoop.mapred.Reporter;
Can also be used as a local Combiner. A simple summing reducer
public class BayesClassifierReducer extends MapReduceBase
    implements Reducer<StringTuple, DoubleWritable, StringTuple, DoubleWritable> {
  public void reduce(StringTuple key,
                     Iterator<DoubleWritable> values,
                     OutputCollector<StringTuple, DoubleWritable> output,
                     Reporter reporterthrows IOException {
    //Key is label,word, value is the number of times we've seen this label word per local node.  Output is the same
    double sum = 0.0;
    while (values.hasNext()) {
      reporter.setStatus("Classifier Reducer:" + key);  
      sum +=;
    reporter.setStatus("Bayes Classifier Reducer: " + key + " => " + sum);  
    output.collect(keynew DoubleWritable(sum));
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