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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
..
ml [SPARK-7922] [MLLIB] use DataFrames for user/item factors in ALSModel 2015-05-28 22:38:38 -07:00
mllib [SPARK-7922] [MLLIB] use DataFrames for user/item factors in ALSModel 2015-05-28 22:38:38 -07:00
sql [SPARK-7840] add insertInto() to Writer 2015-05-23 09:07:14 -07:00
streaming [SPARK-6657] [PYSPARK] Fix doc warnings 2015-05-18 08:35:14 -07:00
__init__.py [SPARK-4172] [PySpark] Progress API in Python 2015-02-17 13:36:43 -08:00
accumulators.py [SPARK-6661] Python type errors should print type, not object 2015-04-20 10:44:09 -07:00
broadcast.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
cloudpickle.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
conf.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
context.py [SPARK-7711] Add a startTime property to match the corresponding one in Scala 2015-05-21 14:08:57 -07:00
daemon.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
files.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
heapq3.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
java_gateway.py [SPARK-6949] [SQL] [PySpark] Support Date/Timestamp in Column expression 2015-04-21 00:08:18 -07:00
join.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
profiler.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
rdd.py [SPARK-6416] [DOCS] RDD.fold() requires the operator to be commutative 2015-05-21 19:42:51 +01:00
rddsampler.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
resultiterable.py [SPARK-3074] [PySpark] support groupByKey() with single huge key 2015-04-09 17:07:23 -07:00
serializers.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
shell.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
shuffle.py [SPARK-7339] [PYSPARK] PySpark shuffle spill memory sometimes are not correct 2015-05-26 08:35:39 -07:00
statcounter.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
status.py [SPARK-4172] [PySpark] Progress API in Python 2015-02-17 13:36:43 -08:00
storagelevel.py [SPARK-3417] Use new-style classes in PySpark 2014-09-08 15:45:36 -07:00
tests.py [SPARK-7711] Add a startTime property to match the corresponding one in Scala 2015-05-21 14:08:57 -07:00
traceback_utils.py [SPARK-1087] Move python traceback utilities into new traceback_utils.py file. 2014-09-15 19:28:17 -07:00
worker.py [SPARK-6216] [PYSPARK] check python version of worker with driver 2015-05-18 12:55:13 -07:00