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https://issues.apache.org/jira/browse/MAHOUT-824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13119016#comment-13119016
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Hudson commented on MAHOUT-824:
-------------------------------

Integrated in Mahout-Quality #1077 (See 
[https://builds.apache.org/job/Mahout-Quality/1077/])
    Part of MAHOUT-824 -- some additional tests

srowen : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1178133
Files : 
* 
/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/common/FullRunningAverage.java
* 
/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/common/FullRunningAverageAndStdDev.java
* 
/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/common/FastByIDMapTest.java
* 
/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/common/RunningAverageAndStdDevTest.java
* 
/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/common/RunningAverageTest.java
* 
/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorageTest.java

                
> FastByIDRunningAverage: Optimize SlopeOneRecommender by optimizing 
> MemoryDiffStorage
> ------------------------------------------------------------------------------------
>
>                 Key: MAHOUT-824
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-824
>             Project: Mahout
>          Issue Type: Improvement
>            Reporter: Lance Norskog
>            Assignee: Sean Owen
>            Priority: Trivial
>             Fix For: 0.6
>
>         Attachments: MAHOUT-824.patch, MAHOUT-824.short.patch
>
>
> The SlopeOneRecommender has by far the best RMS of all of the online 
> recommenders in Mahout (that I've found). Unfortunately the implementation 
> also uses much more memory and is unuseable on my laptop.
> This patch optimizes memory (and speed) by folding 
> FastByIDMap<RunningAverage> into one class: FastByIDRunningAverage. This is 
> what it sounds like: a Long-addressable array of running averages (and 
> optionally standard deviation).

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