Some things to try:
- Have you verified the contents of your input vectors actually have
data in them?
* YES, from the other email you know that the data works fine in 0.6
- Can you run the cluster dumper on the b3/kmeans-clusters/clusters-0
contents?
* YES, It is attached from trunk's clusterdump after the failure of
kmeans, of course. A simple data set fortunately.
- Is it possible to run the sequential version (-xm sequential)? If it
is you could run it in a debugger to gain more insight.
* YES, will report back.
On 6/4/12 2:19 PM, Jeff Eastman wrote:
It looks like the probabilities vector returned by
AbstractClusteringPolicy.classify() has no non-zero elements. In this
case, AbstractClusteringPolicy.select()'s call to
AbstractVector.maxValueIndex() is returning -1 and that is causing the
exception.
How could this happen? I'm not exactly sure, but consider that the
probabilities vector is calculated in
AbstractClusteringPolicy.classify() by calling
DistanceMeasureCluster.pdf() on each of the prior clusters in
b3/kmeans-clusters/clusters-0. With a CosineDistanceMeasure I don't
see how this could ever return zero. Certainly, some of your vectors
will match the prior cluster centers exactly (they were sampled from
the input) and those values would return pdf==1. Even if the cosine
distance was 1 the pdf would be 0.5.
Some things to try:
- Have you verified the contents of your input vectors actually have
data in them?
- Can you run the cluster dumper on the b3/kmeans-clusters/clusters-0
contents?
- Is it possible to run the sequential version (-xm sequential)? If it
is you could run it in a debugger to gain more insight.
Jeff
On 6/4/12 12:05 PM, Pat Ferrel wrote:
Using the CLI to kmeans from several trunk versions I get an error I
don't understand. When the job died the
b3/canopy-centroids/clusters-0-final contained the random-seeds file
generated by the kmeans driver and the b3/kmeans-clusters/clusters-0
had several part files but b3/kmeans-clusters/clusters-1 was empty.
When I look through the code from the trace it doesn't make much sense.
Command line:
mahout kmeans
-i b3/vectors/tfidf-vectors/
-k 20
-c b3/canopy-centroids/clusters-0-final
-cl
-o b3/kmeans-clusters
-ow
-cd 0.01
-x 30
-dm org.apache.mahout.common.distance.CosineDistanceMeasure
Error:
12/06/04 07:55:03 INFO common.AbstractJob: Command line arguments:
{--clustering=null,
--clusters=[b3/canopy-centroids/clusters-0-final],
--convergenceDelta=[0.01],
--distanceMeasure=[org.apache.mahout.common.distance.CosineDistanceMeasure],
--endPhase=[2147483647], --input=[b3/vectors/tfidf-vectors/],
--maxIter=[30], --method=[mapreduce], --numClusters=[20],
--output=[b3/kmeans-clusters], --overwrite=null, --startPhase=[0],
--tempDir=[temp]}
2012-06-04 07:55:03.752 java[67308:1903] Unable to load realm info
from SCDynamicStore
12/06/04 07:55:03 INFO common.HadoopUtil: Deleting
b3/canopy-centroids/clusters-0-final
12/06/04 07:55:04 WARN util.NativeCodeLoader: Unable to load
native-hadoop library for your platform... using builtin-java classes
where applicable
12/06/04 07:55:04 INFO compress.CodecPool: Got brand-new compressor
12/06/04 07:55:04 INFO kmeans.RandomSeedGenerator: Wrote 20 vectors
to b3/canopy-centroids/clusters-0-final/part-randomSeed
12/06/04 07:55:04 INFO kmeans.KMeansDriver: Input:
b3/vectors/tfidf-vectors Clusters In:
b3/canopy-centroids/clusters-0-final/part-randomSeed Out:
b3/kmeans-clusters Distance:
org.apache.mahout.common.distance.CosineDistanceMeasure
12/06/04 07:55:04 INFO kmeans.KMeansDriver: convergence: 0.01 max
Iterations: 30 num Reduce Tasks:
org.apache.mahout.math.VectorWritable Input Vectors: {}
12/06/04 07:55:04 INFO compress.CodecPool: Got brand-new decompressor
Cluster Iterator running iteration 1 over priorPath:
b3/kmeans-clusters/clusters-0
12/06/04 07:55:05 INFO input.FileInputFormat: Total input paths to
process : 1
12/06/04 07:55:05 INFO mapred.JobClient: Running job: job_local_0001
12/06/04 07:55:06 INFO mapred.MapTask: io.sort.mb = 100
12/06/04 07:55:08 INFO mapred.MapTask: data buffer = 79691776/99614720
12/06/04 07:55:08 INFO mapred.MapTask: record buffer = 262144/327680
12/06/04 07:55:08 INFO mapred.JobClient: map 0% reduce 0%
12/06/04 07:55:09 WARN mapred.LocalJobRunner: job_local_0001
org.apache.mahout.math.IndexException: Index -1 is outside allowable
range of [0,20)
at
org.apache.mahout.math.AbstractVector.set(AbstractVector.java:439)
at
org.apache.mahout.clustering.iterator.AbstractClusteringPolicy.select(AbstractClusteringPolicy.java:44)
at
org.apache.mahout.clustering.iterator.CIMapper.map(CIMapper.java:52)
at
org.apache.mahout.clustering.iterator.CIMapper.map(CIMapper.java:18)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370)
at
org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:212)
12/06/04 07:55:09 INFO mapred.JobClient: Job complete: job_local_0001
12/06/04 07:55:09 INFO mapred.JobClient: Counters: 0
Exception in thread "main" java.lang.InterruptedException: Cluster
Iteration 1 failed processing b3/kmeans-clusters/clusters-1
at
org.apache.mahout.clustering.iterator.ClusterIterator.iterateMR(ClusterIterator.java:186)
at
org.apache.mahout.clustering.kmeans.KMeansDriver.buildClusters(KMeansDriver.java:229)
at
org.apache.mahout.clustering.kmeans.KMeansDriver.run(KMeansDriver.java:149)
at
org.apache.mahout.clustering.kmeans.KMeansDriver.run(KMeansDriver.java:108)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at
org.apache.mahout.clustering.kmeans.KMeansDriver.main(KMeansDriver.java:49)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at
org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68)
at
org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:139)
at org.apache.mahout.driver.MahoutDriver.main(MahoutDriver.java:195)
CL-356{n=0 c=[desire:0.247, inspire:0.246, jo's:0.247, kim's:0.247,
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Top Terms:
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jo's photos => 0.24697347722700372
kim's => 0.24697347722700372
title desire => 0.24697347722700372
search jo's => 0.24697347722700372
desire => 0.24697347722700372
desire inspire => 0.24697347722700372
photos kim's => 0.24697347722700372
jo's => 0.24697347722700372
CL-364{n=0 c=[1,290.00:0.252, 1,451.00:0.356, 1,935.00:0.252, 2,903.00:0.211,
3,548.00:0.252, 4,515.00:0.227, base:0.178, brass:0.190, colored:0.252,
dark:0.156, dining:0.157, glass:0.220, gold:0.221, metal:0.139, pair:0.127,
silver:0.265, stainless:0.234, steel:0.164, table:0.123, tables:0.150,
topped:0.234, dining table:0.172] r=[]}
Top Terms:
1,451.00 => 0.3562847032521643
silver => 0.26471261951123376
colored => 0.2519313381499565
1,935.00 => 0.2519313381499565
1,290.00 => 0.2519313381499565
3,548.00 => 0.2519313381499565
stainless => 0.23391713204187659
topped => 0.23391713204187659
4,515.00 => 0.22706843646278083
gold => 0.2211358506805993
CL-368{n=0 c=[1,613.00:1.000] r=[]}
Top Terms:
1,613.00 => 1.0
CL-376{n=0 c=[1,850.00:0.087, 10:0.049, 1920:0.115, 1950:0.112, 2:0.084,
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oak:0.116, original:0.079, paint:0.057, pair:0.047, pendant:0.113,
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table:0.158, tables:0.056, top:0.139, trolley:0.084, vintage:0.038,
wooden:0.075, workbench:0.139, workshop:0.111, zinc:0.109, dining table:0.143,
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Top Terms:
price request => 0.29389309661890295
request industrial => 0.28686226363259515
industrial => 0.2331130906470844
request => 0.21749717100999086
price => 0.1910402432046326
cabinet => 0.17183428163535142
metal => 0.17091932185312475
table => 0.15803175230319075
factory => 0.14570666511933505
dining table => 0.14302934971071385
CL-389{n=0 c=[1960:0.187, 3,709.00:0.234, 5,321.00:0.234, black:0.138,
bonzom:0.331, button:0.223, chairs:0.119, chrome:0.207, club:0.201,
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table:0.109, thomas:0.331, tuck:0.234, white:0.140, dining table:0.153] r=[]}
Top Terms:
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thomas => 0.3314403068360531
3,709.00 => 0.2343636884010462
5,321.00 => 0.2343636884010462
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button => 0.22304776304829452
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mushrooms:0.119, old:0.064, original:0.079, oval:0.116, pair:0.115,
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Top Terms:
price request => 0.22249141877881645
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request => 0.16465595701985394
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elements => 0.1644072618880762
chandelier => 0.1483703796175552
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jumo => 0.13916226695155723
bakelite => 0.13916226695155723
CL-398{n=0 c=[1,850.00:0.087, 10:0.050, 1920:0.115, 1950:0.112, 2:0.084,
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factory:0.146, french:0.081, garden:0.076, green:0.066, industrial:0.244,
iron:0.124, lamp:0.057, lamps:0.066, lighting:0.063, lights:0.067, made:0.046,
mallet:0.082, many:0.052, mesh:0.119, metal:0.186, oak:0.116, original:0.079,
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steel:0.106, stevens:0.082, strafor:0.087, table:0.158, tables:0.056,
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wooden:0.075, workbench:0.161, workshop:0.111, zinc:0.077, dining table:0.143,
price request:0.300, request industrial:0.296] r=[]}
Top Terms:
price request => 0.2997485851208535
request industrial => 0.2963368436177793
industrial => 0.24401063350816063
request => 0.22183056249324726
price => 0.19484651797531488
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Top Terms:
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price request => 0.23806496152088827
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Top Terms:
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Top Terms:
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