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From "Andy Twigg (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAHOUT-1153) Implement streaming random forests
Date Wed, 06 Mar 2013 14:28:12 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-1153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13594736#comment-13594736
] 

Andy Twigg commented on MAHOUT-1153:
------------------------------------

An implementation has begun at https://github.com/andytwigg/mahout/ - see classes in classifier.df
and classifier.df.spdt. Once that is cleaner, we can make a patch from it.

                
> Implement streaming random forests
> ----------------------------------
>
>                 Key: MAHOUT-1153
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1153
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Classification
>    Affects Versions: 0.7
>            Reporter: Andy Twigg
>              Labels: features
>
> The current random forest implementations are in-core and not scalable. This issue is
to add an out-of-core, scalable, streaming implementation. Initially it could be based on
[1], and using mappers in a master-worker style.
> [1] http://jmlr.csail.mit.edu/papers/volume11/ben-haim10a/ben-haim10a.pdf

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