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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/03/12 17:08:38 UTC
[jira] [Updated] (SPARK-1548) Add Partial Random Forest algorithm
to MLlib
[ https://issues.apache.org/jira/browse/SPARK-1548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-1548:
-----------------------------
Assignee: (was: Frank Dai)
> Add Partial Random Forest algorithm to MLlib
> --------------------------------------------
>
> Key: SPARK-1548
> URL: https://issues.apache.org/jira/browse/SPARK-1548
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 1.0.0
> Reporter: Manish Amde
>
> This task involves creating an alternate approximate random forest implementation where each tree is constructed per partition.
> The tasks involves:
> - Justifying with theory and experimental results why this algorithm is a good choice.
> - Comparing the various tradeoffs and finalizing the algorithm before implementation
> - Code implementation
> - Unit tests
> - Functional tests
> - Performance tests
> - Documentation
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