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https://issues.apache.org/jira/browse/SPARK-20109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15945388#comment-15945388
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Apache Spark commented on SPARK-20109:
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User 'johnc1231' has created a pull request for this issue:
https://github.com/apache/spark/pull/17459
> Need a way to convert from IndexedRowMatrix to Dense Block Matrices
> -------------------------------------------------------------------
>
> Key: SPARK-20109
> URL: https://issues.apache.org/jira/browse/SPARK-20109
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 2.1.0
> Reporter: John Compitello
>
> The current implementation of toBlockMatrix on IndexedRowMatrix is
> insufficient. It is implemented by first converting the IndexedRowMatrix to a
> CoordinateMatrix, then converting that CoordinateMatrix to a BlockMatrix. Not
> only is this slower than it needs to be, it also means that the created
> BlockMatrix ends up being backed by instances of SparseMatrix, which a user
> may not want.
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