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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2015/09/28 12:37:05 UTC

[jira] [Commented] (FLINK-1966) Add support for predictive model markup language (PMML)

    [ https://issues.apache.org/jira/browse/FLINK-1966?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14933133#comment-14933133 ] 

ASF GitHub Bot commented on FLINK-1966:
---------------------------------------

GitHub user sachingoel0101 opened a pull request:

    https://github.com/apache/flink/pull/1186

    [FLINK-1966][ml]Add support for Predictive Model Markup Language

    1. Adds an interface to allow exporting of models to PMML format.
    2. Implements export methods for the existing SVM and Regression algorithms.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/sachingoel0101/flink pmml

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/1186.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #1186
    
----
commit a71640edd83b6fd1085935496c1dd2553bd42caa
Author: Sachin Goel <sa...@gmail.com>
Date:   2015-09-27T13:04:17Z

    [FLINK-1966][ml]Add support for Predictive Model Markup Language

----


> Add support for predictive model markup language (PMML)
> -------------------------------------------------------
>
>                 Key: FLINK-1966
>                 URL: https://issues.apache.org/jira/browse/FLINK-1966
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Sachin Goel
>            Priority: Minor
>              Labels: ML
>
> The predictive model markup language (PMML) [1] is a widely used language to describe predictive and descriptive models as well as pre- and post-processing steps. That way it allows and easy way to export for and import models from other ML tools.
> Resources:
> [1] http://journal.r-project.org/archive/2009-1/RJournal_2009-1_Guazzelli+et+al.pdf



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