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https://issues.apache.org/jira/browse/SYSTEMML-680?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15280495#comment-15280495
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Golda Velez commented on SYSTEMML-680:
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Oh - if its only single-node in-memory, we probably won't pursue it
further, the purpose of porting our R stuff into Spark was to try and
get it to where it can be distributed
Thanks for the quick response!
--Golda
> eigen() fails with "Unsupported function EIGEN" but diag() works
>
>
> Key: SYSTEMML-680
> URL: https://issues.apache.org/jira/browse/SYSTEMML-680
> Project: SystemML
> Issue Type: Bug
> Components: APIs
>Affects Versions: SystemML 0.9
> Environment: Linux ip-172-20-42-170 3.13.0-61-generic #100-Ubuntu SMP
> Wed Jul 29 11:21:34 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux
> Scala code runner version 2.10.4 -- Copyright 2002-2013, LAMP/EPFL
> spark-core_2.10-1.3.0.jar
>Reporter: Golda Velez
>Priority: Minor
> Original Estimate: 0.5h
> Remaining Estimate: 0.5h
>
> Could be some simple error, since I'm new to SystemML
> I'm running a tiny DML script:
> X = read($Xin)
> ee = eigen(X)
> via some things to set up the matrix in scala, ending with
> val sysMlMatrix = RDDConverterUtils.dataFrameToBinaryBlock(sc, df, mc, false)
> val ml = new MLContext(sc)
> ml.reset()
> ml.registerInput("X", sysMlMatrix, numRows, numCols)
> ml.registerOutput("e")
> val nargs = Map("Xin" -> " ", "Eout" -> " ")
> val outputs = ml.execute("dum.dml", nargs)
> I could certainly be doing something wrong, but it does run if I replace
> eigen() with diag() and both are listed similarly in the guide
> http://apache.github.io/incubator-systemml/spark-mlcontext-programming-guide.html
> Is eigen() supported currently and does it require some installation of some
> library? I didn't see anything about that in the docs.
> Thanks, this looks super useful!
> This might just be a documentation bug, not a code bug, but I'm not sure how
> else to contact people about it and get it resolved. Are there forums?
> --Golda
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