[MAHOUT-1402] Zero clusters using streaming k-means option in cluster-reuters.sh

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.8
• Fix Version/s: 0.9
• Component/s: classic

Environment

AWS default Linux AMI

• Assignee: Suneel Marthi
• Reporter: Andrew Musselman
• Created: 22/Jan/14 04:57
• Updated: 31/Jan/24 22:14
• Resolved: 22/Jan/14 09:13

Description

Running cluster-reuters.sh in examples/bin results in this:

[snip]
INFO: Number of Centroids: 0
Jan 22, 2014 1:52:22 AM org.apache.hadoop.mapred.LocalJobRunner$Job run
WARNING: job_local23982482_0001
java.lang.IllegalArgumentException: Must have nonzero number of training and test vectors. Asked for %.1f %% of %d vectors for test [10.000000149011612, 0]
at com.google.common.base.Preconditions.checkArgument(Preconditions.java:120)
at org.apache.mahout.clustering.streaming.cluster.BallKMeans.splitTrainTest(BallKMeans.java:176)
at org.apache.mahout.clustering.streaming.cluster.BallKMeans.cluster(BallKMeans.java:192)
at org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer.getBestCentroids(StreamingKMeansReducer.java:107)
at org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer.reduce(StreamingKMeansReducer.java:73)
at org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer.reduce(StreamingKMeansReducer.java:37)
at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:177)
at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:649)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:418)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:398)

[snip]

WARNING: No qualcluster.props found on classpath, will use command-line arguments only
Num clusters: 0; maxDistance: 0.000000
[Dunn Index] First: Infinity
[Davies-Bouldin Index] First: NaN
Jan 22, 2014 1:52:24 AM org.slf4j.impl.JCLLoggerAdapter info
INFO: Program took 535 ms (Minutes: 0.008916666666666666)
cluster,distance.mean,distance.sd,distance.q0,distance.q1,distance.q2,distance.q3,distance.q4,count,is.train