[jira] Commented: (MAHOUT-206) Separate and clearly label different SparseVector implementations

["Sean Owen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-206?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12800188#action_12800188 ] 

Sean Owen commented on MAHOUT-206:
----------------------------------

You want me to try this and commit it?

> Separate and clearly label different SparseVector implementations
> -----------------------------------------------------------------
>
>                 Key: MAHOUT-206
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-206
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Math
>    Affects Versions: 0.2
>         Environment: all
>            Reporter: Jake Mannix
>            Assignee: Jake Mannix
>             Fix For: 0.3
>
>         Attachments: MAHOUT-206.patch, MAHOUT-206.patch, MAHOUT-206.patch
>
>
> Shashi's last patch on MAHOUT-165 swapped out the int/double parallel array impl of SparseVector for an OpenIntDoubleMap (hash-based) one.  We actually need both, as I think I've mentioned a gazillion times.
> There was a patch, long ago, on MAHOUT-165, in which Ted had OrderedIntDoubleVector, and OpenIntDoubleHashVector (or something to that effect), and neither of them are called SparseVector.  I like this, because it forces people to choose what kind of SparseVector they want (and they should: sparse is an optimization, and the client should make a conscious decision what they're optimizing for).  
> We could call them RandomAccessSparseVector and SequentialAccessSparseVector, to be really obvious.
> But really, the important part is we have both.

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