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https://issues.apache.org/jira/browse/SPARK-4900?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14312779#comment-14312779
]
Mike Beyer commented on SPARK-4900:
-----------------------------------
BTW: Matrix pc = rowMatrix.computePrincipalComponents(3); yields also an
exception:
breeze.linalg.NotConvergedException:
at breeze.linalg.svd$Svd_DM_Impl$.apply(svd.scala:60)
at breeze.linalg.svd$Svd_DM_Impl$.apply(svd.scala:32)
at breeze.generic.UFunc$class.apply(UFunc.scala:48)
at breeze.linalg.svd$.apply(svd.scala:17)
at
org.apache.spark.mllib.linalg.distributed.RowMatrix.computePrincipalComponents(RowMatrix.scala:375)
at
com.example.processing.spark.SVDProcessing2.createSVD_2(SVDProcessing2.java:236)
at
com.example.processing.spark.RunnerSpark.main(PrimaryRunnerSpark.java:27)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:483)
at sbt.Run.invokeMain(Run.scala:67)
at sbt.Run.run0(Run.scala:61)
at sbt.Run.sbt$Run$$execute$1(Run.scala:51)
at sbt.Run$$anonfun$run$1.apply$mcV$sp(Run.scala:55)
at sbt.Run$$anonfun$run$1.apply(Run.scala:55)
at sbt.Run$$anonfun$run$1.apply(Run.scala:55)
at sbt.Logger$$anon$4.apply(Logger.scala:85)
at sbt.TrapExit$App.run(TrapExit.scala:248)
at java.lang.Thread.run(Thread.java:745)
> MLlib SingularValueDecomposition ARPACK IllegalStateException
> --------------------------------------------------------------
>
> Key: SPARK-4900
> URL: https://issues.apache.org/jira/browse/SPARK-4900
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.1.1, 1.2.0
> Environment: Ubuntu 1410, Java HotSpot(TM) 64-Bit Server VM (build
> 25.25-b02, mixed mode)
> spark local mode
> Reporter: Mike Beyer
>
> java.lang.reflect.InvocationTargetException
> ...
> Caused by: java.lang.IllegalStateException: ARPACK returns non-zero info = 3
> Please refer ARPACK user guide for error message.
> at
> org.apache.spark.mllib.linalg.EigenValueDecomposition$.symmetricEigs(EigenValueDecomposition.scala:120)
> at
> org.apache.spark.mllib.linalg.distributed.RowMatrix.computeSVD(RowMatrix.scala:235)
> at
> org.apache.spark.mllib.linalg.distributed.RowMatrix.computeSVD(RowMatrix.scala:171)
> ...
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