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https://issues.apache.org/jira/browse/MAHOUT-165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12779451#action_12779451
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Drew Farris commented on MAHOUT-165:
------------------------------------

{quote}
Awesome, thanks Drew. I noticed you didn't add a

{noformat}
<module>colt</module>
{noformat}

line inside of the top level pom, is this to hide it from being depended on? I 
just ask because it meant that IntelliJ didn't seem to want to consider the 
mahout-colt submodule to be a real maven submodule without that there.
{quote}

Jake, the module definition for colt is defined in the colt profile which 
starts on line 111. This way, we won't build colt unless the colt profile is 
activated using the -Pcolt argument on the command-line. I haven't switched to 
IntelliJ yet, but I would be surprised if there were not some option to 
activate certain profiles in the maven project configuration somewhere. 

> Using better primitives hash for sparse vector for performance gains
> --------------------------------------------------------------------
>
>                 Key: MAHOUT-165
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-165
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Matrix
>    Affects Versions: 0.2
>            Reporter: Shashikant Kore
>            Assignee: Grant Ingersoll
>             Fix For: 0.3
>
>         Attachments: colt.jar, mahout-165-18nov-updated.patch, 
> mahout-165-18nov.patch, mahout-165-trove.patch, MAHOUT-165-updated.patch, 
> MAHOUT-165-with-colt-module.patch, MAHOUT-165-with-colt.patch, 
> mahout-165.patch, MAHOUT-165.patch, mahout-165.patch
>
>
> In SparseVector, we need primitives hash map for index and values. The 
> present implementation of this hash map is not as efficient as some of the 
> other implementations in non-Apache projects. 
> In an experiment, I found that, for get/set operations, the primitive hash of 
>  Colt performance an order of magnitude better than OrderedIntDoubleMapping. 
> For iteration it is 2x slower, though. 
> Using Colt in Sparsevector improved performance of canopy generation. For an 
> experimental dataset, the current implementation takes 50 minutes. Using 
> Colt, reduces this duration to 19-20 minutes. That's 60% reduction in the 
> delay. 

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