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From mengxr <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-5976][MLLIB] Add partitioner to factors...
Date Tue, 24 Feb 2015 21:10:57 GMT
GitHub user mengxr opened a pull request:

    https://github.com/apache/spark/pull/4748

    [SPARK-5976][MLLIB] Add partitioner to factors returned by ALS

    The model trained by ALS requires partitioning information to do quick lookup of a user/item
factor for making recommendation on individual requests. In the new implementation, we didn't
set partitioners in the factors returned by ALS, which would cause performance regression.
    
    @srowen @coderxiang

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

    $ git pull https://github.com/mengxr/spark SPARK-5976

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

    https://github.com/apache/spark/pull/4748.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 #4748
    
----
commit 260f183a5b24a33251f32d09b19144550f1c797f
Author: Xiangrui Meng <meng@databricks.com>
Date:   2015-02-24T20:30:01Z

    add a test for partitioner

commit 9373a093fc9e8a5fcce2778a34de94e300d0e591
Author: Xiangrui Meng <meng@databricks.com>
Date:   2015-02-24T21:04:43Z

    add partitioner to factors returned by ALS

----


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