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From sharath jagannath <sharathjagann...@gmail.com>
Subject Re: Need help: beginner
Date Thu, 03 Feb 2011 01:46:56 GMT
Anybody?


On Wed, Feb 2, 2011 at 5:36 PM, sharath jagannath <
sharathjagannath@gmail.com> wrote:

> My bad, I am using File in the program and expecting it to write to the
> Hadoop FS.
> Given that I still need to figure how to hook on to hadoop.
>
> Thanks,
> Sharath
>
>
> On Wed, Feb 2, 2011 at 5:10 PM, sharath jagannath <
> sharathjagannath@gmail.com> wrote:
>
>>
>> With some effort, I am now able to write a simple KMeans cluster.
>> But it is writing all the data to the local folder again and not to the
>> hadoop FS.
>> Again, I wanted to use Mahout as a jar and build my application which I
>> could not.
>> So, now I am adding classes to the example folder within the
>> mahout-distribution.
>>
>> Any help/suggestion is much appreciated. I am kinda stuck with this. It is
>> so frustrating having not able to proceed.
>> I need suggestion on:
>> 1. packaging mahout as a  jar/suggestion on integrating it with rest of
>> the application.
>> 2. How to create Vector from my data, my training set will be having a
>> context\tList<tags|rank>.
>> 3. How to run the driver on the hadoop. I am setting environment variables
>> (in eclipse) using: properties->run/debug settings->environment->new
>>
>> Code: (Came with MEAP)
>>
>> package org.apache.mahout.clustering.syntheticcontrol.kmeans;
>>
>> import java.io.File;
>> import java.io.IOException;
>> import java.util.ArrayList;
>> import java.util.List;
>>
>>
>>
>> import org.apache.hadoop.conf.Configuration;
>> import org.apache.hadoop.fs.FileSystem;
>> import org.apache.hadoop.fs.Path;
>> import org.apache.hadoop.io.IntWritable;
>> import org.apache.hadoop.io.LongWritable;
>> import org.apache.hadoop.io.SequenceFile;
>> import org.apache.hadoop.io.Text;
>> import org.apache.mahout.clustering.WeightedVectorWritable;
>> import org.apache.mahout.clustering.kmeans.Cluster;
>> import org.apache.mahout.clustering.kmeans.KMeansClusterer;
>> import org.apache.mahout.clustering.kmeans.KMeansDriver;
>> import org.apache.mahout.common.distance.EuclideanDistanceMeasure;
>> import org.apache.mahout.math.RandomAccessSparseVector;
>> import org.apache.mahout.math.Vector;
>> import org.apache.mahout.math.VectorWritable;
>>
>> public class SimpleKMeansCluster {
>>  public static final double[][] points = { {1, 1}, {2, 1}, {1, 2}, {2,
>> 2}, {3, 3}, {8, 8},
>> {9, 8}, {8, 9}, {9, 9}};
>>  public static void writePointsToFile(List<Vector> points, String
>> fileName,
>>  FileSystem fs, Configuration conf) throws IOException {
>> Path path = new Path(fileName);
>>  SequenceFile.Writer writer = new SequenceFile.Writer(fs, conf,
>> path, LongWritable.class, VectorWritable.class);
>>  long recNum = 0;
>> VectorWritable vec = new VectorWritable();
>> for (Vector point : points) {
>>  vec.set(point); writer.append(new LongWritable(recNum++), vec);
>> }
>> writer.close();
>>  }
>>  public static List<Vector> getPoints(double[][] raw) {
>>  List<Vector> points = new ArrayList<Vector>();
>> for (int i = 0; i < raw.length; i++) {
>>  double[] fr = raw[i];
>> Vector vec = new RandomAccessSparseVector(fr.length);
>>  vec.assign(fr); points.add(vec);
>> }
>> return points;
>>  }
>>  public static void main (String []args) throws Exception {
>>  int k = 2; List<Vector> vectors = getPoints(points);
>> File testData = new File("testdata1");
>>  if (!testData.exists()) {
>> testData.mkdir();
>> }
>>  testData = new File("testdata1/points");
>> if (!testData.exists()) {
>>  testData.mkdir();
>> }
>>  Configuration conf = new Configuration();
>> FileSystem fs = FileSystem.get(conf);
>>  writePointsToFile(vectors, "testdata1/points/file1", fs, conf);
>> Path path = new Path("testdata1/clusters/part-00000");
>>  SequenceFile.Writer writer = new SequenceFile.Writer(fs, conf,
>> path, Text.class, Cluster.class);
>>  for (int i = 0; i < k; i++) {
>> Vector vec = vectors.get(i);
>>  Cluster cluster = new Cluster(vec, i, new EuclideanDistanceMeasure());
>> writer.append(new Text(cluster.getIdentifier()), cluster);
>>  }
>> writer.close();
>>
>> KMeansDriver.run(conf, new Path("testdata1/points"),
>> new Path("testdata1/clusters"), new Path("output"), new
>> EuclideanDistanceMeasure(), 0.001, 10, true, false);
>>  SequenceFile.Reader reader = new SequenceFile.Reader(fs, new
>> Path("output/" + Cluster.CLUSTERED_POINTS_DIR
>> + "/part-m-00000"), conf);
>>  IntWritable key = new IntWritable();
>> WeightedVectorWritable value = new WeightedVectorWritable();
>>  while (reader.next(key, value)) {
>> System.out.println(value.toString() + " belongs to cluster " +
>> key.toString());
>>  } reader.close();
>> }
>>  }
>>
>>
>> Thanks,
>> Sharath
>>
>>
>> On Wed, Feb 2, 2011 at 2:43 PM, sharath jagannath <
>> sharathjagannath@gmail.com> wrote:
>>
>>> I did not pass any argument. I used the default one:
>>>
>>>        log.info("Running with default arguments");
>>>
>>>       Path output = new Path("output");
>>>
>>>       HadoopUtil.overwriteOutput(output);
>>>
>>>       new Job().run(new Configuration(), new Path("testdata"), output,
>>> new EuclideanDistanceMeasure(), 80, 55, 0.5, 10);
>>>
>>>
>>>
>>>
>


-- 
Thanks,
Sharath Jagannath

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