spark-instrumented-optimizer/mllib
Xiangrui Meng db95137897 [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
2015-05-28 22:38:38 -07:00
..
src [SPARK-7922] [MLLIB] use DataFrames for user/item factors in ALSModel 2015-05-28 22:38:38 -07:00
pom.xml [SPARK-7485] [BUILD] Remove pyspark files from assembly. 2015-05-12 01:39:21 -07:00