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Posted to user@mahout.apache.org by Lahiru Samarakoon <la...@gmail.com> on 2010/09/27 12:29:38 UTC
Kmeans - Cluster is emply Error
Dear All,
When I try to run the Synthetic Data example for Clustering using K-means
and Fuzzy K-means algorithms following error was prompted.
Please advice.
10/09/27 15:42:23 INFO mapred.JobClient: Task Id :
attempt_201009271237_0012_m_000000_1, Status : FAILED
java.lang.IllegalStateException: Cluster is empty!!!
at
org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper.setup(FuzzyKMeansClusterMapper.java:55)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:142)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:621)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:305)
at org.apache.hadoop.mapred.Child.main(Child.java:170)
Thanks,
Lahiru.
Re: Kmeans - Cluster is emply Error
Posted by Jeff Eastman <jd...@windwardsolutions.com>.
You may have gotten a bad build. We are all scrambling to get
functionality-complete this week and there have been some temporary
issues with tests failing. I suggest you svn up and try again. Sorry,
this must be frustrating. You can monitor the dev@ list and look for the
Hudson reports. It currently says the build is good but there were some
classifier problems earlier.
On 9/28/10 1:18 AM, Lahiru Samarakoon wrote:
> Thanks Jeff.
>
> I am running trunk. I have run updated my working copy today and running the
> latest revision (1002015). Previously I updated it yesterday.
> Now I have another problem.
>
> *org.apache.mahout.classifier.sgd.ModelSerializerTest* Fails.
>
> Please find the invidual result of the Test Below.
>
> Please advice.
>
> -------------------------------------------------------------------------------
> Test set: org.apache.mahout.classifier.sgd.ModelSerializerTest
> -------------------------------------------------------------------------------
> Tests run: 7, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.544 sec
> <<< FAILURE!
> adaptiveLogisticRegressionRoundTrip(org.apache.mahout.classifier.sgd.ModelSerializerTest)
> Time elapsed: 0.454 sec<<< ERROR!
> com.google.gson.JsonParseException: The JsonDeserializer
> org.apache.mahout.classifier.sgd.ModelSerializer$AdaptiveLogisticRegressionTypeAdapter@62e8c8failed
> to deserialized json object
> 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,"numFeatures":5,"prior":{"class":"org.apache.mahout.classifier.sgd.L1","value":{}},"percentCorrect":0.0,"windowSize":2147483647}}}}
> given the type class
> org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
> at
> com.google.gson.JsonDeserializerExceptionWrapper.deserialize(JsonDeserializerExceptionWrapper.java:63)
> at
> com.google.gson.JsonDeserializationVisitor.visitUsingCustomHandler(JsonDeserializationVisitor.java:65)
> at com.google.gson.ObjectNavigator.accept(ObjectNavigator.java:96)
> at
> com.google.gson.JsonDeserializationContextDefault.fromJsonObject(JsonDeserializationContextDefault.java:73)
> at
> com.google.gson.JsonDeserializationContextDefault.deserialize(JsonDeserializationContextDefault.java:49)
> at com.google.gson.Gson.fromJson(Gson.java:379)
> at com.google.gson.Gson.fromJson(Gson.java:352)
> at
> org.apache.mahout.classifier.sgd.ModelSerializerTest.adaptiveLogisticRegressionRoundTrip(ModelSerializerTest.java:150)
> 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.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44)
> at
> org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
> at
> org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41)
> at
> org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
> at
> org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28)
> at
> org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:31)
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:76)
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50)
> at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193)
> at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52)
> at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191)
> at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42)
> at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184)
> at org.junit.runners.ParentRunner.run(ParentRunner.java:236)
> at
> org.apache.maven.surefire.junit4.JUnit4TestSet.execute(JUnit4TestSet.java:59)
> at
> org.apache.maven.surefire.suite.AbstractDirectoryTestSuite.executeTestSet(AbstractDirectoryTestSuite.java:115)
> at
> org.apache.maven.surefire.suite.AbstractDirectoryTestSuite.execute(AbstractDirectoryTestSuite.java:102)
> at org.apache.maven.surefire.Surefire.run(Surefire.java:180)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
> at java.lang.reflect.Method.invoke(Method.java:597)
> at
> org.apache.maven.surefire.booter.SurefireBooter.runSuitesInProcess(SurefireBooter.java:350)
> at
> org.apache.maven.surefire.booter.SurefireBooter.main(SurefireBooter.java:1021)
> Caused by: java.lang.NullPointerException
> at
> com.google.gson.JsonDeserializationContextDefault.deserialize(JsonDeserializationContextDefault.java:46)
> at
> org.apache.mahout.classifier.sgd.ModelSerializer$AdaptiveLogisticRegressionTypeAdapter.deserialize(ModelSerializer.java:353)
> at
> org.apache.mahout.classifier.sgd.ModelSerializer$AdaptiveLogisticRegressionTypeAdapter.deserialize(ModelSerializer.java:332)
> at
> com.google.gson.JsonDeserializerExceptionWrapper.deserialize(JsonDeserializerExceptionWrapper.java:50)
> ... 35 more
>
>
> Thanks,
> Lahiru
>
Re: Kmeans - Cluster is emply Error
Posted by Lahiru Samarakoon <la...@gmail.com>.
Everything is working perfectly.
Thanks Guys.
Re: Kmeans - Cluster is emply Error
Posted by Jeff Eastman <jd...@windwardsolutions.com>.
In the mean time, you can build trunk without running the unit tests:
mvn clean install -DskipTests=true
On 9/28/10 11:35 AM, Ted Dunning wrote:
> This was my fault. I should get it fixed shortly.
>
> On Mon, Sep 27, 2010 at 10:18 PM, Lahiru Samarakoon<la...@gmail.com>wrote:
>
>> Thanks Jeff.
>>
>> I am running trunk. I have run updated my working copy today and running
>> the
>> latest revision (1002015). Previously I updated it yesterday.
>> Now I have another problem.
>>
>> *org.apache.mahout.classifier.sgd.ModelSerializerTest* Fails.
>>
>>
>>
Re: Kmeans - Cluster is emply Error
Posted by Ted Dunning <te...@gmail.com>.
This was my fault. I should get it fixed shortly.
On Mon, Sep 27, 2010 at 10:18 PM, Lahiru Samarakoon <la...@gmail.com>wrote:
> Thanks Jeff.
>
> I am running trunk. I have run updated my working copy today and running
> the
> latest revision (1002015). Previously I updated it yesterday.
> Now I have another problem.
>
> *org.apache.mahout.classifier.sgd.ModelSerializerTest* Fails.
>
>
>
Re: Kmeans - Cluster is emply Error
Posted by Lahiru Samarakoon <la...@gmail.com>.
Thanks Jeff.
I am running trunk. I have run updated my working copy today and running the
latest revision (1002015). Previously I updated it yesterday.
Now I have another problem.
*org.apache.mahout.classifier.sgd.ModelSerializerTest* Fails.
Please find the invidual result of the Test Below.
Please advice.
-------------------------------------------------------------------------------
Test set: org.apache.mahout.classifier.sgd.ModelSerializerTest
-------------------------------------------------------------------------------
Tests run: 7, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.544 sec
<<< FAILURE!
adaptiveLogisticRegressionRoundTrip(org.apache.mahout.classifier.sgd.ModelSerializerTest)
Time elapsed: 0.454 sec <<< ERROR!
com.google.gson.JsonParseException: The JsonDeserializer
org.apache.mahout.classifier.sgd.ModelSerializer$AdaptiveLogisticRegressionTypeAdapter@62e8c8failed
to deserialized json object
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,"numFeatures":5,"prior":{"class":"org.apache.mahout.classifier.sgd.L1","value":{}},"percentCorrect":0.0,"windowSize":2147483647}}}}
given the type class
org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
at
com.google.gson.JsonDeserializerExceptionWrapper.deserialize(JsonDeserializerExceptionWrapper.java:63)
at
com.google.gson.JsonDeserializationVisitor.visitUsingCustomHandler(JsonDeserializationVisitor.java:65)
at com.google.gson.ObjectNavigator.accept(ObjectNavigator.java:96)
at
com.google.gson.JsonDeserializationContextDefault.fromJsonObject(JsonDeserializationContextDefault.java:73)
at
com.google.gson.JsonDeserializationContextDefault.deserialize(JsonDeserializationContextDefault.java:49)
at com.google.gson.Gson.fromJson(Gson.java:379)
at com.google.gson.Gson.fromJson(Gson.java:352)
at
org.apache.mahout.classifier.sgd.ModelSerializerTest.adaptiveLogisticRegressionRoundTrip(ModelSerializerTest.java:150)
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.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44)
at
org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at
org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41)
at
org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
at
org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28)
at
org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:31)
at
org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:76)
at
org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184)
at org.junit.runners.ParentRunner.run(ParentRunner.java:236)
at
org.apache.maven.surefire.junit4.JUnit4TestSet.execute(JUnit4TestSet.java:59)
at
org.apache.maven.surefire.suite.AbstractDirectoryTestSuite.executeTestSet(AbstractDirectoryTestSuite.java:115)
at
org.apache.maven.surefire.suite.AbstractDirectoryTestSuite.execute(AbstractDirectoryTestSuite.java:102)
at org.apache.maven.surefire.Surefire.run(Surefire.java:180)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at
org.apache.maven.surefire.booter.SurefireBooter.runSuitesInProcess(SurefireBooter.java:350)
at
org.apache.maven.surefire.booter.SurefireBooter.main(SurefireBooter.java:1021)
Caused by: java.lang.NullPointerException
at
com.google.gson.JsonDeserializationContextDefault.deserialize(JsonDeserializationContextDefault.java:46)
at
org.apache.mahout.classifier.sgd.ModelSerializer$AdaptiveLogisticRegressionTypeAdapter.deserialize(ModelSerializer.java:353)
at
org.apache.mahout.classifier.sgd.ModelSerializer$AdaptiveLogisticRegressionTypeAdapter.deserialize(ModelSerializer.java:332)
at
com.google.gson.JsonDeserializerExceptionWrapper.deserialize(JsonDeserializerExceptionWrapper.java:50)
... 35 more
Thanks,
Lahiru
Re: Kmeans - Cluster is emply Error
Posted by Jeff Eastman <jd...@windwardsolutions.com>.
BTW, you can also run all the synthetic control jobs with no arguments
and they will run with default arguments similar to those below. See the
various Job classes' main methods for per-algorithm defaults.
On 9/27/10 10:04 AM, Jeff Eastman wrote:
> Are you running trunk? It should not be possible to get that error
> any more since the initial clusters are internally computed by Canopy
> and the -c argument has been removed from the K-means and Fuzzy
> K-means synthetic control jobs. Try running trunk with the following
> arguments:
>
> -i testdata
> -o output
> -dm org.apache.mahout.common.distance.EuclideanDistanceMeasure
> -t1 80
> -t2 55
> -x 10
> -ow
> -m 2
>
> If you have a different set of arguments that can reproduce this
> problem please post them and I will investigate further.
> Jeff
>
>
> On 9/27/10 6:29 AM, Lahiru Samarakoon wrote:
>> Dear All,
>>
>> When I try to run the Synthetic Data example for Clustering using
>> K-means
>> and Fuzzy K-means algorithms following error was prompted.
>>
>> Please advice.
>>
>> 10/09/27 15:42:23 INFO mapred.JobClient: Task Id :
>> attempt_201009271237_0012_m_000000_1, Status : FAILED
>> java.lang.IllegalStateException: Cluster is empty!!!
>> at
>> org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper.setup(FuzzyKMeansClusterMapper.java:55)
>>
>> at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:142)
>> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:621)
>> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:305)
>> at org.apache.hadoop.mapred.Child.main(Child.java:170)
>>
>> Thanks,
>> Lahiru.
>>
>
Re: Kmeans - Cluster is emply Error
Posted by Jeff Eastman <jd...@windwardsolutions.com>.
Are you running trunk? It should not be possible to get that error any
more since the initial clusters are internally computed by Canopy and
the -c argument has been removed from the K-means and Fuzzy K-means
synthetic control jobs. Try running trunk with the following arguments:
-i testdata
-o output
-dm org.apache.mahout.common.distance.EuclideanDistanceMeasure
-t1 80
-t2 55
-x 10
-ow
-m 2
If you have a different set of arguments that can reproduce this problem
please post them and I will investigate further.
Jeff
On 9/27/10 6:29 AM, Lahiru Samarakoon wrote:
> Dear All,
>
> When I try to run the Synthetic Data example for Clustering using K-means
> and Fuzzy K-means algorithms following error was prompted.
>
> Please advice.
>
> 10/09/27 15:42:23 INFO mapred.JobClient: Task Id :
> attempt_201009271237_0012_m_000000_1, Status : FAILED
> java.lang.IllegalStateException: Cluster is empty!!!
> at
> org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper.setup(FuzzyKMeansClusterMapper.java:55)
> at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:142)
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:621)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:305)
> at org.apache.hadoop.mapred.Child.main(Child.java:170)
>
> Thanks,
> Lahiru.
>