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https://issues.apache.org/jira/browse/SPARK-4900?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Beyer reopened SPARK-4900:
-------------------------------
i traced the problem back due to Double.NaN, Double.POSITIVE_INFINITY or
Double.NEGATIVE_INFINITY values of the java double values. In my opinion the
user should care to have not such values in the data, but when an exception is
thrown it should give a hint that this is a likely cause. If also other
allgorithms in MLLib are not pretecting against failing due to Double.NaN,
Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY it should be mentioned in
the MLlib doc that the users has to ensure only proper double numbers.
> 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
> 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)
> ...
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