You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/04/04 17:55:33 UTC
[jira] [Updated] (SPARK-4900) MLlib SingularValueDecomposition
ARPACK IllegalStateException
[ https://issues.apache.org/jira/browse/SPARK-4900?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-4900:
-----------------------------
Description:
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$.symmetricEigs(EigenValueDecomposition.scala:120)
at org.apache.spark.mllib.linalg.distributed.RowMatrix.computeSVD(RowMatrix.scala:235)
at org.apache.spark.mllib.linalg.distributed.RowMatrix.computeSVD(RowMatrix.scala:171)
...
was:
java.lang.reflect.InvocationTargetException
...
Caused by: java.lang.IllegalStateException: ARPACK returns non-zero info = 3 Please refer ARPACK user guide for error message.
at org.apache.spark.mllib.linalg.EigenValueDecomposition$.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)
...
Priority: Minor (was: Major)
> 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, 1.2.1
> Environment: Ubuntu 1410, Java HotSpot(TM) 64-Bit Server VM (build 25.25-b02, mixed mode)
> spark local mode
> Reporter: Mike Beyer
> Assignee: Sean Owen
> Priority: Minor
> Fix For: 1.3.0
>
>
> 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)
> ...
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org