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https://issues.apache.org/jira/browse/SPARK-1546?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14343974#comment-14343974
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Sean Owen commented on SPARK-1546:
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I'm curious about the status of this and other subtasks of SPARK-3703 -- I
don't think this has been active for a while, and am also wondering if the new
Pipelines API changes how something like boosting might fit in. I assume it can
be fit in as an Estimator built on Estimators (not sure I have that right)?
> Add AdaBoost algorithm to Spark MLlib
> -------------------------------------
>
> Key: SPARK-1546
> URL: https://issues.apache.org/jira/browse/SPARK-1546
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 1.1.0
> Reporter: Manish Amde
> Assignee: Manish Amde
>
> This task requires adding the AdaBoost algorithm to Spark MLlib. The
> implementation needs to adapt the classic AdaBoost 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
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