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Posted to issues@spark.apache.org by "Manish Amde (JIRA)" <ji...@apache.org> on 2014/04/21 02:32:14 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 ]
Manish Amde updated SPARK-1548:
-------------------------------
Description:
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
was:
This task involves creating an alternate approximate random forest implementation where each tree is constructed per partition.
The tasks involves:
- Comparing the various tradeoffs and finalizing the algorithm before implementation
- Code implementation
- Unit tests
- Functional tests
- Performance tests
- Documentation
> 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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