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author | MechCoder <manojkumarsivaraj334@gmail.com> | 2015-07-15 08:25:53 -0700 |
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committer | Davies Liu <davies.liu@gmail.com> | 2015-07-15 08:25:53 -0700 |
commit | 20bb10f8644a92a57496b5df639008832b30e34d (patch) | |
tree | 9b455807bd130409773697ab566feb05c29f729b /python/pyspark/ml/param | |
parent | adb33d3665770daf2ccb8915d19e198be9dc3b47 (diff) | |
download | spark-20bb10f8644a92a57496b5df639008832b30e34d.tar.gz spark-20bb10f8644a92a57496b5df639008832b30e34d.tar.bz2 spark-20bb10f8644a92a57496b5df639008832b30e34d.zip |
[SPARK-8706] [PYSPARK] [PROJECT INFRA] Add pylint checks to PySpark
This adds Pylint checks to PySpark.
For now this lazy installs using easy_install to /dev/pylint (similar to the pep8 script).
We still need to figure out what rules to be allowed.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes #7241 from MechCoder/pylint and squashes the following commits:
2fc7291 [MechCoder] Remove pylint test fail
6d883a2 [MechCoder] Silence warnings and make pylint tests fail to check if it works in jenkins
f3a5e17 [MechCoder] undefined-variable
ca8b749 [MechCoder] Minor changes
71629f8 [MechCoder] remove trailing whitespace
8498ff9 [MechCoder] Remove blacklisted arguments and pointless statements check
1dbd094 [MechCoder] Disable all checks for now
8b8aa8a [MechCoder] Add pylint configuration file
7871bb1 [MechCoder] [SPARK-8706] [PySpark] [Project infra] Add pylint checks to PySpark
Diffstat (limited to 'python/pyspark/ml/param')
-rw-r--r-- | python/pyspark/ml/param/shared.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/python/pyspark/ml/param/shared.py b/python/pyspark/ml/param/shared.py index bc088e4c29..5951247263 100644 --- a/python/pyspark/ml/param/shared.py +++ b/python/pyspark/ml/param/shared.py @@ -444,7 +444,7 @@ class DecisionTreeParams(Params): minInfoGain = Param(Params._dummy(), "minInfoGain", "Minimum information gain for a split to be considered at a tree node.") maxMemoryInMB = Param(Params._dummy(), "maxMemoryInMB", "Maximum memory in MB allocated to histogram aggregation.") cacheNodeIds = Param(Params._dummy(), "cacheNodeIds", "If false, the algorithm will pass trees to executors to match instances with nodes. If true, the algorithm will cache node IDs for each instance. Caching can speed up training of deeper trees.") - + def __init__(self): super(DecisionTreeParams, self).__init__() @@ -460,7 +460,7 @@ class DecisionTreeParams(Params): self.maxMemoryInMB = Param(self, "maxMemoryInMB", "Maximum memory in MB allocated to histogram aggregation.") #: param for If false, the algorithm will pass trees to executors to match instances with nodes. If true, the algorithm will cache node IDs for each instance. Caching can speed up training of deeper trees. self.cacheNodeIds = Param(self, "cacheNodeIds", "If false, the algorithm will pass trees to executors to match instances with nodes. If true, the algorithm will cache node IDs for each instance. Caching can speed up training of deeper trees.") - + def setMaxDepth(self, value): """ Sets the value of :py:attr:`maxDepth`. |