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Yanbo Liang 6b8cb1fe52 [SPARK-17197][ML][PYSPARK] PySpark LiR/LoR supports tree aggregation level configurable. 
## What changes were proposed in this pull request?
[SPARK-17090](https://issues.apache.org/jira/browse/SPARK-17090) makes tree aggregation level in LiR/LoR configurable, this PR makes PySpark support this function.

## How was this patch tested?
Since ```aggregationDepth``` is an expert param, I'm not prefer to test it in doctest which is also used for example. Here is the offline test result:
![image](https://cloud.githubusercontent.com/assets/1962026/17879457/f83d7760-68a6-11e6-9936-d0a884d5d6ec.png)

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #14766 from yanboliang/spark-17197.
2016-08-25 02:26:33 -07:00
..
__init__.py [SPARK-14615][ML] Use the new ML Vector and Matrix in the ML pipeline based algorithms 2016-05-17 12:51:07 -07:00
_shared_params_code_gen.py [SPARK-17197][ML][PYSPARK] PySpark LiR/LoR supports tree aggregation level configurable. 2016-08-25 02:26:33 -07:00
shared.py [SPARK-17197][ML][PYSPARK] PySpark LiR/LoR supports tree aggregation level configurable. 2016-08-25 02:26:33 -07:00