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From sharath jagannath <sharathjagann...@gmail.com>
Subject Re: Need help: beginner
Date Thu, 03 Feb 2011 01:36:52 GMT
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);
>>
>>
>>
>>

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