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From "Till Rohrmann (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1727) Add decision tree to machine learning library
Date Mon, 18 May 2015 15:01:59 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1727?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14548125#comment-14548125

Till Rohrmann commented on FLINK-1727:

Hi [~sachingoel0101], currently [~mikiobraun] is working on the decision trees. The best thing
to do is to sync with him.

> Add decision tree to machine learning library
> ---------------------------------------------
>                 Key: FLINK-1727
>                 URL: https://issues.apache.org/jira/browse/FLINK-1727
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Mikio Braun
>              Labels: ML
> Decision trees are widely used for classification and regression tasks. Thus, it would
be worthwhile to add support for them to Flink's machine learning library. 
> A streaming parallel decision tree learning algorithm has been proposed by Ben-Haim and
Tom-Tov [1]. This can maybe adapted to a batch use case as well. [2] contains an overview
of different techniques of how to scale inductive learning algorithms up. A presentation of
Spark's MLlib decision tree implementation can be found in [3].
> Resources:
> [1] [http://www.jmlr.org/papers/volume11/ben-haim10a/ben-haim10a.pdf]
> [2] [http://citeseerx.ist.psu.edu/viewdoc/download?doi=]
> [3] [http://spark-summit.org/wp-content/uploads/2014/07/Scalable-Distributed-Decision-Trees-in-Spark-Made-Das-Sparks-Talwalkar.pdf]

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