[jira] Updated: (MAHOUT-145) PartialData mapreduce Random Forests

["Deneche A. Hakim (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-145?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Deneche A. Hakim updated MAHOUT-145:
------------------------------------

        Fix Version/s: 0.2
    Affects Version/s: 0.2

* Will be committed as part of [MAHOUT-145|https://issues.apache.org/jira/browse/MAHOUT-145] 
* For now two implementations are available, one that uses Hadoop 0.20.0 API and one that don't use it. Later only one implementation should remain

*Important*
* one important part  that is still missing is the integration of Decision Forests with Mahout's Classifiers. It should take some time, so the current code could be committed *as it is* (working but not yet integrated) and the integration will probably be available for Mahout 0.3.

> PartialData mapreduce Random Forests
> ------------------------------------
>
>                 Key: MAHOUT-145
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-145
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Classification
>    Affects Versions: 0.2
>            Reporter: Deneche A. Hakim
>            Priority: Minor
>             Fix For: 0.2
>
>         Attachments: partial_August_10.patch, partial_August_13.patch, partial_August_15.patch, partial_August_17.patch, partial_August_19.patch, partial_August_2.patch, partial_August_24.patch, partial_August_27.patch, partial_August_31.patch, partial_August_9.patch
>
>
> This implementation is based on a suggestion by Ted:
> "modify the original algorithm to build multiple trees for different portions of the data. That loses some of the solidity of the original method, but could actually do better if the splits exposed non-stationary behavior."

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