/**
* 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.syntheticcontrol.canopy;
import java.util.List;
import java.util.Map;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.util.ToolRunner;
import org.apache.mahout.clustering.canopy.CanopyDriver;
import org.apache.mahout.clustering.conversion.InputDriver;
import org.apache.mahout.common.AbstractJob;
import org.apache.mahout.common.ClassUtils;
import org.apache.mahout.common.HadoopUtil;
import org.apache.mahout.common.commandline.DefaultOptionCreator;
import org.apache.mahout.common.distance.DistanceMeasure;
import org.apache.mahout.common.distance.EuclideanDistanceMeasure;
import org.apache.mahout.utils.clustering.ClusterDumper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public final class Job extends AbstractJob {
private static final String DIRECTORY_CONTAINING_CONVERTED_INPUT = "data";
private Job() {
}
private static final Logger log = LoggerFactory.getLogger(Job.class);
public static void main(String[] args) throws Exception {
if (args.length > 0) {
log.info("Running with only user-supplied arguments");
ToolRunner.run(new Configuration(), new Job(), args);
} else {
log.info("Running with default arguments");
Path output = new Path("output");
HadoopUtil.delete(new Configuration(), output);
run(new Path("testdata"), output, new EuclideanDistanceMeasure(), 80, 55);
}
}
/**
* Run the canopy clustering job on an input dataset using the given distance
* measure, t1 and t2 parameters. All output data will be written to the
* output directory, which will be initially deleted if it exists. The
* clustered points will reside in the path <output>/clustered-points. By
* default, the job expects the a file containing synthetic_control.data as
* obtained from
* http://archive.ics.uci.edu/ml/datasets/Synthetic+Control+Chart+Time+Series
* resides in a directory named "testdata", and writes output to a directory
* named "output".
*
* @param input
* the String denoting the input directory path
* @param output
* the String denoting the output directory path
* @param measure
* the DistanceMeasure to use
* @param t1
* the canopy T1 threshold
* @param t2
* the canopy T2 threshold
*/
private static void run(Path input, Path output, DistanceMeasure measure,
double t1, double t2) throws Exception {
Path directoryContainingConvertedInput = new Path(output,
DIRECTORY_CONTAINING_CONVERTED_INPUT);
InputDriver.runJob(input, directoryContainingConvertedInput,
"org.apache.mahout.math.RandomAccessSparseVector");
CanopyDriver.run(new Configuration(), directoryContainingConvertedInput,
output, measure, t1, t2, true, 0.0, false);
// run ClusterDumper
ClusterDumper clusterDumper = new ClusterDumper(new Path(output,
"clusters-0-final"), new Path(output, "clusteredPoints"));
clusterDumper.printClusters(null);
}
@Override
public int run(String[] args) throws Exception {
addInputOption();
addOutputOption();
addOption(DefaultOptionCreator.distanceMeasureOption().create());
addOption(DefaultOptionCreator.t1Option().create());
addOption(DefaultOptionCreator.t2Option().create());
addOption(DefaultOptionCreator.overwriteOption().create());
Map<String, List<String>> argMap = parseArguments(args);
if (argMap == null) {
return -1;
}
Path input = getInputPath();
Path output = getOutputPath();
if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) {
HadoopUtil.delete(new Configuration(), output);
}
String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION);
double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);
run(input, output, measure, t1, t2);
return 0;
}
}