flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Till Rohrmann (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-1727) Add decision tree to machine learning library
Date Wed, 01 Apr 2015 11:58:53 GMT

     [ https://issues.apache.org/jira/browse/FLINK-1727?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Till Rohrmann updated FLINK-1727:
---------------------------------
    Assignee: Mikio Braun

> 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=10.1.1.46.8226&rep=rep1&type=pdf]
> [3] [http://spark-summit.org/wp-content/uploads/2014/07/Scalable-Distributed-Decision-Trees-in-Spark-Made-Das-Sparks-Talwalkar.pdf]



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message