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Scalable machine learning libraries
/*
* 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.iterator;
import java.io.IOException;
import java.util.List;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.mahout.clustering.Cluster;
import org.apache.mahout.clustering.classify.ClusterClassifier;
import org.apache.mahout.math.Vector;
import org.apache.mahout.math.Vector.Element;
import org.apache.mahout.math.VectorWritable;
public class CIMapper extends Mapper,VectorWritable,IntWritable,ClusterWritable> {
private ClusterClassifier classifier;
private ClusteringPolicy policy;
@Override
protected void setup(Context context) throws IOException, InterruptedException {
Configuration conf = context.getConfiguration();
String priorClustersPath = conf.get(ClusterIterator.PRIOR_PATH_KEY);
classifier = new ClusterClassifier();
classifier.readFromSeqFiles(conf, new Path(priorClustersPath));
policy = classifier.getPolicy();
policy.update(classifier);
super.setup(context);
}
@Override
protected void map(WritableComparable> key, VectorWritable value, Context context) throws IOException,
InterruptedException {
Vector probabilities = classifier.classify(value.get());
Vector selections = policy.select(probabilities);
for (Element el : selections.nonZeroes()) {
classifier.train(el.index(), value.get(), el.get());
}
}
@Override
protected void cleanup(Context context) throws IOException, InterruptedException {
List clusters = classifier.getModels();
ClusterWritable cw = new ClusterWritable();
for (int index = 0; index < clusters.size(); index++) {
cw.setValue(clusters.get(index));
context.write(new IntWritable(index), cw);
}
super.cleanup(context);
}
}
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