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Yu ISHIKAWA 35316cb0b7 [SPARK-13292] [ML] [PYTHON] QuantileDiscretizer should take random seed in PySpark 
## What changes were proposed in this pull request?
QuantileDiscretizer in Python should also specify a random seed.

## How was this patch tested?
unit tests

Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>

Closes #11362 from yu-iskw/SPARK-13292 and squashes the following commits:

02ffa76 [Yu ISHIKAWA] [SPARK-13292][ML][PYTHON] QuantileDiscretizer should take random seed in PySpark
2016-02-25 13:29:10 -08:00
..
param [SPARK-13047][PYSPARK][ML] Pyspark Params.hasParam should not throw an error 2016-02-11 16:42:44 -08:00
__init__.py [SPARK-7535] [.0] [MLLIB] Audit the pipeline APIs for 1.4 2015-05-21 22:57:33 -07:00
classification.py [SPARK-10509][PYSPARK] Reduce excessive param boiler plate code 2016-01-26 15:53:48 -08:00
clustering.py [SPARK-13302][PYSPARK][TESTS] Move the temp file creation and cleanup outside of the doctests 2016-02-20 09:07:19 +00:00
evaluation.py [SPARK-10509][PYSPARK] Reduce excessive param boiler plate code 2016-01-26 15:53:48 -08:00
feature.py [SPARK-13292] [ML] [PYTHON] QuantileDiscretizer should take random seed in PySpark 2016-02-25 13:29:10 -08:00
pipeline.py [SPARK-10509][PYSPARK] Reduce excessive param boiler plate code 2016-01-26 15:53:48 -08:00
recommendation.py [SPARK-13302][PYSPARK][TESTS] Move the temp file creation and cleanup outside of the doctests 2016-02-20 09:07:19 +00:00
regression.py [SPARK-13302][PYSPARK][TESTS] Move the temp file creation and cleanup outside of the doctests 2016-02-20 09:07:19 +00:00
tests.py [SPARK-13047][PYSPARK][ML] Pyspark Params.hasParam should not throw an error 2016-02-11 16:42:44 -08:00
tuning.py [SPARK-10509][PYSPARK] Reduce excessive param boiler plate code 2016-01-26 15:53:48 -08:00
util.py [SPARK-13032][ML][PYSPARK] PySpark support model export/import and take LinearRegression as example 2016-01-29 09:22:24 -08:00
wrapper.py [SPARK-13153][PYSPARK] ML persistence failed when handle no default value parameter 2016-02-11 18:38:49 -08:00