GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/6468
[SPARK-7922] [MLLIB] use DataFrames for user/item factors in ALSModel
Expose user/item factors in DataFrames. This is to be more consistent with
the pipeline API. It also helps maintain consistent APIs across languages. This
PR also removed fitting params from `ALSModel`.
@coderxiang
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mengxr/spark SPARK-7922
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/6468.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 #6468
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commit 1ba5607323f4c3cda78fac217b6e5d4ed985e8f7
Author: Xiangrui Meng <[email protected]>
Date: 2015-05-28T20:06:23Z
use DataFrames for user/item factors in ALS
commit 7bfb1d56e91c3a7ca86ac10c1ea5ec21ae7bd3a8
Author: Xiangrui Meng <[email protected]>
Date: 2015-05-28T20:06:42Z
update ALSModel in PySpark
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