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https://issues.apache.org/jira/browse/MAHOUT-145?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Deneche A. Hakim updated MAHOUT-145:
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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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