68559423ac
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
(cherry picked from commit
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.. | ||
stat | ||
__init__.py | ||
classification.py | ||
clustering.py | ||
common.py | ||
evaluation.py | ||
feature.py | ||
fpm.py | ||
linalg.py | ||
rand.py | ||
recommendation.py | ||
regression.py | ||
tests.py | ||
tree.py | ||
util.py |