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https://issues.apache.org/jira/browse/SPARK-20109?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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John Compitello updated SPARK-20109:
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Description: 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. Users need an option to convert from
IndexedRowMatrix to BlockMatrix that backs the BlockMatrix with local instances
of DenseMatrix. (was: 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. )
> 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. Users need an option to convert from IndexedRowMatrix to
> BlockMatrix that backs the BlockMatrix with local instances of DenseMatrix.
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