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[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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- python/pyspark/ml/classification.py 9 additions, 5 deletionspython/pyspark/ml/classification.py
- python/pyspark/ml/param/_shared_params_code_gen.py 3 additions, 1 deletionpython/pyspark/ml/param/_shared_params_code_gen.py
- python/pyspark/ml/param/shared.py 24 additions, 0 deletionspython/pyspark/ml/param/shared.py
- python/pyspark/ml/regression.py 6 additions, 5 deletionspython/pyspark/ml/regression.py
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