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Matthias Boehm commented on SYSTEMML-680: ----------------------------------------- just in case anybody else runs into this issue: the error is due to {code} ee = eigen(X) {code} as eigen returns both the the eigen values and eigen vectors and hence needs to be called as follows {code} [eval, evect] = eigen(X) {code} > 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 -- This message was sent by Atlassian JIRA (v6.3.4#6332)