spark-instrumented-optimizer/python/pyspark
Xiangrui Meng 0cc7b88c99 [SPARK-5536] replace old ALS implementation by the new one
The only issue is that `analyzeBlock` is removed, which was marked as a developer API. I didn't change other tests in the ALSSuite under `spark.mllib` to ensure that the implementation is correct.

CC: srowen coderxiang

Author: Xiangrui Meng <meng@databricks.com>

Closes #4321 from mengxr/SPARK-5536 and squashes the following commits:

5a3cee8 [Xiangrui Meng] update python tests that are too strict
e840acf [Xiangrui Meng] ignore scala style check for ALS.train
e9a721c [Xiangrui Meng] update mima excludes
9ee6a36 [Xiangrui Meng] merge master
9a8aeac [Xiangrui Meng] update tests
d8c3271 [Xiangrui Meng] remove analyzeBlocks
d68eee7 [Xiangrui Meng] add checkpoint to new ALS
22a56f8 [Xiangrui Meng] wrap old ALS
c387dff [Xiangrui Meng] support random seed
3bdf24b [Xiangrui Meng] make storage level configurable in the new ALS
2015-02-02 23:49:09 -08:00
..
ml [SPARK-4586][MLLIB] Python API for ML pipeline and parameters 2015-01-28 17:14:23 -08:00
mllib [SPARK-5536] replace old ALS implementation by the new one 2015-02-02 23:49:09 -08:00
streaming [SPARK-5154] [PySpark] [Streaming] Kafka streaming support in Python 2015-02-02 19:16:27 -08:00
__init__.py [SPARK-4387][PySpark] Refactoring python profiling code to make it extensible 2015-01-28 13:48:06 -08:00
accumulators.py [SPARK-4387][PySpark] Refactoring python profiling code to make it extensible 2015-01-28 13:48:06 -08:00
broadcast.py [SPARK-4548] []SPARK-4517] improve performance of python broadcast 2014-11-24 17:17:03 -08:00
cloudpickle.py [SPARK-3679] [PySpark] pickle the exact globals of functions 2014-09-24 13:00:05 -07:00
conf.py [SPARK-3412] [PySpark] Replace Epydoc with Sphinx to generate Python API docs 2014-10-07 18:09:27 -07:00
context.py Make sure only owner can read / write to directories created for the job. 2015-02-02 14:01:32 -08:00
daemon.py [SPARK-4088] [PySpark] Python worker should exit after socket is closed by JVM 2014-10-25 01:20:39 -07:00
files.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
heapq3.py [SPARK-3073] [PySpark] use external sort in sortBy() and sortByKey() 2014-08-26 16:57:40 -07:00
java_gateway.py [SPARK-5097][SQL] DataFrame 2015-01-27 16:08:24 -08:00
join.py [SPARK-546] Add full outer join to RDD and DStream. 2014-09-24 20:39:09 -07:00
profiler.py [SPARK-4387][PySpark] Refactoring python profiling code to make it extensible 2015-01-28 13:48:06 -08:00
rdd.py [SPARK-5430] move treeReduce and treeAggregate from mllib to core 2015-01-28 17:26:03 -08:00
rddsampler.py [SPARK-4477] [PySpark] remove numpy from RDDSampler 2014-11-20 16:40:25 -08:00
resultiterable.py [SPARK-2627] [PySpark] have the build enforce PEP 8 automatically 2014-08-06 12:58:24 -07:00
serializers.py [SPARK-5154] [PySpark] [Streaming] Kafka streaming support in Python 2015-02-02 19:16:27 -08:00
shell.py [SPARK-3273][SPARK-3301]We should read the version information from the same place 2014-09-06 15:08:43 -07:00
shuffle.py [SPARK-4384] [PySpark] improve sort spilling 2014-11-19 15:45:37 -08:00
sql.py [SQL] Improve DataFrame API error reporting 2015-02-02 19:01:47 -08:00
statcounter.py StatCounter on NumPy arrays [PYSPARK][SPARK-2012] 2014-08-01 22:33:25 -07:00
storagelevel.py [SPARK-3417] Use new-style classes in PySpark 2014-09-08 15:45:36 -07:00
tests.py [SPARK-5154] [PySpark] [Streaming] Kafka streaming support in Python 2015-02-02 19:16:27 -08:00
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-4387][PySpark] Refactoring python profiling code to make it extensible 2015-01-28 13:48:06 -08:00