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From takuti <...@git.apache.org>
Subject [GitHub] incubator-hivemall pull request #58: [WIP][HIVEMALL-24] Scalable field-aware...
Date Fri, 03 Mar 2017 08:52:47 GMT
GitHub user takuti opened a pull request:

    https://github.com/apache/incubator-hivemall/pull/58

    [WIP][HIVEMALL-24] Scalable field-aware factorization machines

    ## What changes were proposed in this pull request?
    
    Make `ffm_predict` function more scalable by creating its UDAF implementation
    
    ## What type of PR is it?
    
    Improvement
    
    ## What is the Jira issue?
    
    https://issues.apache.org/jira/browse/HIVEMALL-24
    
    ## How was this patch tested?
    
    Not yet
    
    ## How to use this feature?
    
    https://gist.github.com/takuti/c49dfe2d06cb12bf69bad30213d0afc3


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

    $ git pull https://github.com/takuti/incubator-hivemall ffm-predict-udaf

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

    https://github.com/apache/incubator-hivemall/pull/58.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 #58
    
----
commit 591e3b0f255e6523167157ed2e68c9499b4ca2cd
Author: Takuya Kitazawa <k.takuti@gmail.com>
Date:   2017-03-03T08:48:12Z

    Implement -ffm option in `feature_pairs`

commit 343f704dc4eeee25f195e298ee014368db1fef9e
Author: Takuya Kitazawa <k.takuti@gmail.com>
Date:   2017-03-03T08:48:26Z

    Create FFMPredictGenericUDAF

----


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