spark-instrumented-optimizer/python/pyspark/mllib
Xiangrui Meng 68559423ac [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

(cherry picked from commit db95137897)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
2015-05-28 22:38:46 -07:00
..
stat [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
__init__.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
classification.py [SPARK-6953] [PySpark] speed up python tests 2015-04-21 17:49:55 -07:00
clustering.py [SPARK-7651] [MLLIB] [PYSPARK] GMM predict, predictSoft should raise error on bad input 2015-05-15 10:43:26 -07:00
common.py [SPARK-7922] [MLLIB] use DataFrames for user/item factors in ALSModel 2015-05-28 22:38:46 -07:00
evaluation.py [SPARK-6094] [MLLIB] Add MultilabelMetrics in PySpark/MLlib 2015-05-20 07:56:00 -07:00
feature.py [SPARK-5913] [MLLIB] Python API for ChiSqSelector 2015-05-08 15:48:50 -07:00
fpm.py [SPARK-6657] [PYSPARK] Fix doc warnings 2015-05-18 08:35:24 -07:00
linalg.py [SPARK-7328] [MLLIB] [PYSPARK] Pyspark.mllib.linalg.Vectors: Missing items 2015-05-07 14:02:18 -07:00
rand.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
recommendation.py [SPARK-6257] [PYSPARK] [MLLIB] MLlib API missing items in Recommendation 2015-04-30 23:51:00 -07:00
regression.py [SPARK-6267] [MLLIB] Python API for IsotonicRegression 2015-05-05 22:57:46 -07:00
tests.py [SPARK-7328] [MLLIB] [PYSPARK] Pyspark.mllib.linalg.Vectors: Missing items 2015-05-07 14:02:18 -07:00
tree.py [SPARK-6953] [PySpark] speed up python tests 2015-04-21 17:49:55 -07:00
util.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00