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
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commit 260f183a5b24a33251f32d09b19144550f1c797f
Author: Xiangrui Meng <[email protected]>
Date: 2015-02-24T20:30:01Z
add a test for partitioner
commit 9373a093fc9e8a5fcce2778a34de94e300d0e591
Author: Xiangrui Meng <[email protected]>
Date: 2015-02-24T21:04:43Z
add partitioner to factors returned by ALS
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