[jira] [Resolved] (SPARK-1547) Add gradient boosting algorithm to MLlib

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-1547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-1547.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.2.0

Issue resolved by pull request 2607
[https://github.com/apache/spark/pull/2607]

> Add gradient boosting algorithm to MLlib
> ----------------------------------------
>
>                 Key: SPARK-1547
>                 URL: https://issues.apache.org/jira/browse/SPARK-1547
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>    Affects Versions: 1.0.0
>            Reporter: Manish Amde
>            Assignee: Manish Amde
>             Fix For: 1.2.0
>
>
> This task requires adding the gradient boosting algorithm to Spark MLlib. The implementation needs to adapt the gradient boosting algorithm to the scalable tree implementation.
> The tasks involves:
> - Comparing the various tradeoffs and finalizing the algorithm before implementation
> - Code implementation
> - Unit tests
> - Functional tests
> - Performance tests
> - Documentation
> [Ensembles design document (Google doc) | https://docs.google.com/document/d/1J0Q6OP2Ggx0SOtlPgRUkwLASrAkUJw6m6EK12jRDSNg/]



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