spark-instrumented-optimizer/python/pyspark/mllib
Xiangrui Meng 50a4fa774a [SPARK-3443][MLLIB] update default values of tree:
Adjust the default values of decision tree, based on the memory requirement discussed in https://github.com/apache/spark/pull/2125 :

1. maxMemoryInMB: 128 -> 256
2. maxBins: 100 -> 32
3. maxDepth: 4 -> 5 (in some example code)

jkbradley

Author: Xiangrui Meng <meng@databricks.com>

Closes #2322 from mengxr/tree-defaults and squashes the following commits:

cda453a [Xiangrui Meng] fix tests
5900445 [Xiangrui Meng] update comments
8c81831 [Xiangrui Meng] update default values of tree:
2014-09-08 18:59:57 -07:00
..
__init__.py SPARK-1426: Make MLlib work with NumPy versions older than 1.7 2014-04-15 00:19:43 -07:00
_common.py [PySpark] [SPARK-2954] [SPARK-2948] [SPARK-2910] [SPARK-2101] Python 2.6 Fixes 2014-08-11 11:54:09 -07:00
classification.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
clustering.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
linalg.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
random.py [SPARK-3417] Use new-style classes in PySpark 2014-09-08 15:45:36 -07:00
recommendation.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
regression.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
stat.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
tests.py [PySpark] [SPARK-2954] [SPARK-2948] [SPARK-2910] [SPARK-2101] Python 2.6 Fixes 2014-08-11 11:54:09 -07:00
tree.py [SPARK-3443][MLLIB] update default values of tree: 2014-09-08 18:59:57 -07:00
util.py [SPARK-3417] Use new-style classes in PySpark 2014-09-08 15:45:36 -07:00