[
https://issues.apache.org/jira/browse/MAHOUT-638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13092910#comment-13092910
]
Dmitriy Lyubimov commented on MAHOUT-638:
-----------------------------------------
but it doesn't show all zeros, right? otherwise, what's the best way to iterate
thru non-zero elements of a sparse vector?
i just want not to iterate thru millions of zeros, but i am ok to iterate thru
few of them.
> Stochastic svd's is not handling well all cases of sparse vectors
> ------------------------------------------------------------------
>
> Key: MAHOUT-638
> URL: https://issues.apache.org/jira/browse/MAHOUT-638
> Project: Mahout
> Issue Type: Bug
> Components: Math
> Affects Versions: 0.5
> Reporter: Dmitriy Lyubimov
> Assignee: Dmitriy Lyubimov
> Fix For: 0.5
>
> Attachments: MAHOUT-622-2.patch, MAHOUT-638-2.patch,
> MAHOUT-638-2.patch, MAHOUT-638.patch
>
>
> The Mahout patch of the algorithm is not handling all types of sparse input
> efficiently. BtJob doesn't handle SequentialSparseVector in a way to pick
> only non-zero elements from initial input and QJob doesn't iterate over
> RandomAccessSparseVector correctly. With extremely sparse inputs (0.05%
> non-zero elements) that leads to a terrible inefficiency in the
> aforementioned jobs (QJob, BtJob).
--
This message is automatically generated by JIRA.
For more information on JIRA, see: http://www.atlassian.com/software/jira
