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author | Xiangrui Meng <meng@databricks.com> | 2015-02-25 23:43:29 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-02-25 23:43:29 -0800 |
commit | e43139f40309995b1133c7ef2936ab858b7b44fc (patch) | |
tree | 03f58ac6d3ed3ff771c8fda5df9f03b6de1f9f2e /docs/mllib-classification-regression.md | |
parent | d20559b157743981b9c09e286f2aaff8cbefab59 (diff) | |
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[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
Author: Xiangrui Meng <meng@databricks.com>
Closes #4748 from mengxr/SPARK-5976 and squashes the following commits:
9373a09 [Xiangrui Meng] add partitioner to factors returned by ALS
260f183 [Xiangrui Meng] add a test for partitioner
Diffstat (limited to 'docs/mllib-classification-regression.md')
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