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Posted to dev@mahout.apache.org by "Dmitriy Lyubimov (JIRA)" <ji...@apache.org> on 2015/06/08 22:58:01 UTC
[jira] [Updated] (MAHOUT-1723) Optional structural "flavor"
abstraction for in-core matrices.
[ https://issues.apache.org/jira/browse/MAHOUT-1723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dmitriy Lyubimov updated MAHOUT-1723:
-------------------------------------
Description:
This is structural abstraction (which is optional for a matrix but implemented for most we use) that allows to interrogate matrix operands whether they are dense or sparse, row or column-major or diagonal etc. without coding to a concrete matrix implementation class.
this allows to build structure-optimized iterations.
PR https://github.com/apache/mahout/pull/135
was:
This is structural abstraction (which is optional for a matrix but implemented for most we use) that allows to interrogate matrix operands whether they are dense or sparse, row or column-major or diagonal etc. without coding to a concrete matrix implementation class.
this allows to build structure-optimized iterations.
> Optional structural "flavor" abstraction for in-core matrices.
> --------------------------------------------------------------
>
> Key: MAHOUT-1723
> URL: https://issues.apache.org/jira/browse/MAHOUT-1723
> Project: Mahout
> Issue Type: Improvement
> Reporter: Dmitriy Lyubimov
> Assignee: Dmitriy Lyubimov
> Fix For: 0.10.2
>
>
> This is structural abstraction (which is optional for a matrix but implemented for most we use) that allows to interrogate matrix operands whether they are dense or sparse, row or column-major or diagonal etc. without coding to a concrete matrix implementation class.
> this allows to build structure-optimized iterations.
> PR https://github.com/apache/mahout/pull/135
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