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From Jeff Eastman <j...@windwardsolutions.com>
Subject Re: Getting error while running Synthetic Control Data clustering example
Date Sat, 10 Jul 2010 01:18:00 GMT
Mahout 0.3 depends on Hadoop 0.20.2 so that could be an issue. It's 
always better to try things out on trunk if you have problems as Mahout 
is still changing rapidly. It is possible that particular example had a 
problem in 0.3 but the examples are all working in trunk now.

On 7/8/10 9:38 PM, Amit Kolhe wrote:
> Hi Jeff,
>
> Thanks for response.
>
> I am using version 0.3 not trunk.
> Job name is KMean...
> bin/hadoop jar
> $MAHOUT_HOME/examples/target/mahout-examples-$MAHOUT_VERSION.job
> org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
> right now using hadoop-0.19.0 on single node.
> Meantime will try out trunk version too..
>
> Regards,
> Amit
>
> -----Original Message-----
> From: Jeff Eastman [mailto:jdog@windwardsolutions.com]
> Sent: Thursday, July 08, 2010 9:44 PM
> To: user@mahout.apache.org
> Subject: Re: Getting error while running Synthetic Control Data clustering
> example
>
> Hi Amit,
>
> Can you please provide more information? What version (0.3 or trunk)?
> Which Job (Canopy and KMeans both use Canopy)? What is your command line
> invocation? What is your hardware configuration (Hadoop (cluster size),
> stand-alone)? Have you verified the data file is in examples/testdata?
>
> I've just run both Canopy and KMeans from trunk stand-alone without error.
>
> Jeff
>
>
> On 7/8/10 5:36 AM, Amit Kolhe wrote:
>    
>>
>> Hi All,
>>
>>
>>
>> I am getting below error while running Synthetic Control Data clustering
>> example.
>>
>>
>>
>> 10/07/08 18:16:40 INFO mapred.JobClient: Task Id :
>> attempt_201007081615_0014_m_000001_0, Status : FAILED
>>
>> org.apache.mahout.math.CardinalityException: My cardinality is: 0, but the
>> other is: 60
>>
>>     at
>>
>>      
> org.apache.mahout.math.RandomAccessSparseVector.dot(RandomAccessSparseVector
>    
>> .java:275)
>>
>>     at
>>
>>      
> org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure.distance(S
>    
>> quaredEuclideanDistanceMeasure.java:57)
>>
>>     at
>>
>>      
> org.apache.mahout.common.distance.EuclideanDistanceMeasure.distance(Euclidea
>    
>> nDistanceMeasure.java:39)
>>
>>     at
>>
>>      
> org.apache.mahout.clustering.canopy.CanopyClusterer.addPointToCanopies(Canop
>    
>> yClusterer.java:108)
>>
>>     at
>> org.apache.mahout.clustering.canopy.CanopyMapper.map(CanopyMapper.java:49)
>>
>>     at
>> org.apache.mahout.clustering.canopy.CanopyMapper.map(CanopyMapper.java:34)
>>
>>     at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
>>
>>     at org.apache.hadoop.mapred.MapTask.run(MapTask.java:332)
>>
>>     at org.apache.hadoop.mapred.Child.main(Child.java:155)
>>
>>
>>
>>
>>
>>
>>
>> thanks and regards,
>>
>> amit
>>
>>
>>
>>      
>
>
>    


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