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:  Author: Yanbo Liang <ybliang8@gmail.com> Closes #14766 from yanboliang/spark-17197.		2016-08-25 02:26:33 -07:00
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linalg	[SPARK-16965][MLLIB][PYSPARK] Fix bound checking for SparseVector.	2016-08-19 12:38:15 +01:00
param	[SPARK-17197][ML][PYSPARK] PySpark LiR/LoR supports tree aggregation level configurable.	2016-08-25 02:26:33 -07:00
__init__.py	[SPARK-14817][ML][MLLIB][DOC] Made DataFrame-based API primary in MLlib guide	2016-07-15 13:38:23 -07:00
base.py	[SPARK-15364][ML][PYSPARK] Implement PySpark picklers for ml.Vector and ml.Matrix under spark.ml.python	2016-06-13 19:59:53 -07:00
classification.py	[SPARK-17197][ML][PYSPARK] PySpark LiR/LoR supports tree aggregation level configurable.	2016-08-25 02:26:33 -07:00
clustering.py	[SPARK-16961][CORE] Fixed off-by-one error that biased randomizeInPlace	2016-08-19 10:11:59 +01:00
common.py	[PYSPARK] add picklable SparseMatrix in pyspark.ml.common	2016-07-24 02:29:08 -07:00
evaluation.py	[SPARK-15364][ML][PYSPARK] Implement PySpark picklers for ml.Vector and ml.Matrix under spark.ml.python	2016-06-13 19:59:53 -07:00
feature.py	[SPARK-14812][ML][MLLIB][PYTHON] Experimental, DeveloperApi annotation audit for ML	2016-07-13 12:33:39 -07:00
pipeline.py	[SPARK-15018][PYSPARK][ML] Improve handling of PySpark Pipeline when used without stages	2016-08-19 23:46:36 -07:00
recommendation.py	[SPARK-15741][PYSPARK][ML] Pyspark cleanup of set default seed to None	2016-06-21 11:43:25 -07:00
regression.py	[SPARK-17197][ML][PYSPARK] PySpark LiR/LoR supports tree aggregation level configurable.	2016-08-25 02:26:33 -07:00
tests.py	[SPARK-15018][PYSPARK][ML] Improve handling of PySpark Pipeline when used without stages	2016-08-19 23:46:36 -07:00
tuning.py	[SPARK-16831][PYTHON] Fixed bug in CrossValidator.avgMetrics	2016-08-03 04:18:28 -07:00
util.py	[SPARK-15113][PYSPARK][ML] Add missing num features num classes	2016-08-22 12:21:22 +02:00
wrapper.py	[SPARK-15364][ML][PYSPARK] Implement PySpark picklers for ml.Vector and ml.Matrix under spark.ml.python	2016-06-13 19:59:53 -07:00