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https://issues.apache.org/jira/browse/SPARK-7368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14529214#comment-14529214
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Zongheng Yang commented on SPARK-7368:
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FYI, the ml-matrix package from AMPLab (github.com/amplab/ml-matrix) has a TSQR
implementation [1]. It has been deployed in several machine learning
applications for a while. Would be good to compare design/perf. etc.
[1]
https://github.com/amplab/ml-matrix/blob/master/src/main/scala/edu/berkeley/cs/amplab/mlmatrix/TSQR.scala
> add QR decomposition for RowMatrix
> ----------------------------------
>
> Key: SPARK-7368
> URL: https://issues.apache.org/jira/browse/SPARK-7368
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: yuhao yang
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> Add QR decomposition for RowMatrix.
> There's a great distributed algorithm for QR decomposition, which I'm
> currently referring to.
> Austin R. Benson, David F. Gleich, James Demmel. "Direct QR factorizations
> for tall-and-skinny matrices in MapReduce architectures", 2013 IEEE
> International Conference on Big Data
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