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| author | Yanbo Liang <ybliang8@gmail.com> | 2016-08-25 02:26:33 -0700 |
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| committer | Yanbo Liang <ybliang8@gmail.com> | 2016-08-25 02:26:33 -0700 |
| commit | 6b8cb1fe52e2c8b4b87b0c7d820f3a1824287328 (patch) | |
| tree | 1e08638b25aedd2adcd9b84612a87cc095508a13 /sql | |
| parent | e0b20f9f24d5c3304bf517a4dcfb0da93be5bc75 (diff) | |
| download | spark-6b8cb1fe52e2c8b4b87b0c7d820f3a1824287328.tar.gz spark-6b8cb1fe52e2c8b4b87b0c7d820f3a1824287328.tar.bz2 spark-6b8cb1fe52e2c8b4b87b0c7d820f3a1824287328.zip | |
[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:
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #14766 from yanboliang/spark-17197.
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