[jira] Updated: (MAHOUT-140) In-memory mapreduce Random Forests

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

     [ https://issues.apache.org/jira/browse/MAHOUT-140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Deneche A. Hakim updated MAHOUT-140:
------------------------------------

    Fix 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

> In-memory mapreduce Random Forests
> ----------------------------------
>
>                 Key: MAHOUT-140
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-140
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Classification
>    Affects Versions: 0.2
>            Reporter: Deneche A. Hakim
>            Priority: Minor
>             Fix For: 0.2
>
>         Attachments: inmem_July19_patch.diff, mapred_jul12.diff, mapred_patch.diff
>
>
> Each mapper is responsible for growing a number of trees with a whole copy of the dataset loaded in memory, it uses the reference implementation's code to build each tree and estimate the oob error.

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.