GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/14766
[SPARK-17197] [ML] [PySpark] PySpark LiR/LoR supports tree aggregation
level configurable.
## What changes were proposed in this pull request?
[SPARK-17197](https://issues.apache.org/jira/browse/SPARK-17197) 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:
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanboliang/spark spark-17197
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14766.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #14766
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commit 0d0f20e5117aa685342801b7c3896cf59e38f07c
Author: Yanbo Liang <[email protected]>
Date: 2016-08-23T03:15:02Z
PySpark LiR/LoR supports tree aggregation level configurable.
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