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From takuti <>
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:

    [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?
    ## What is the Jira issue?
    ## How was this patch tested?
    Not yet
    ## How to use this feature?

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

    $ git pull ffm-predict-udaf

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

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 <>
Date:   2017-03-03T08:48:12Z

    Implement -ffm option in `feature_pairs`

commit 343f704dc4eeee25f195e298ee014368db1fef9e
Author: Takuya Kitazawa <>
Date:   2017-03-03T08:48:26Z

    Create FFMPredictGenericUDAF


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