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| author | Xiangrui Meng <meng@databricks.com> | 2015-05-28 22:38:38 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-05-28 22:38:38 -0700 |
| commit | db9513789756da4f16bb1fe8cf1d19500f231f54 (patch) | |
| tree | aaef83386cdad3975181b554d68527abf41407cb /streaming | |
| parent | cd3d9a5c0c3e77098a72c85dffe4a27737009ae7 (diff) | |
| download | spark-db9513789756da4f16bb1fe8cf1d19500f231f54.tar.gz spark-db9513789756da4f16bb1fe8cf1d19500f231f54.tar.bz2 spark-db9513789756da4f16bb1fe8cf1d19500f231f54.zip | |
[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
Author: Xiangrui Meng <meng@databricks.com>
Closes #6468 from mengxr/SPARK-7922 and squashes the following commits:
7bfb1d5 [Xiangrui Meng] update ALSModel in PySpark
1ba5607 [Xiangrui Meng] use DataFrames for user/item factors in ALS
Diffstat (limited to 'streaming')
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