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| author | MechCoder <manojkumarsivaraj334@gmail.com> | 2015-07-13 09:47:53 -0700 |
|---|---|---|
| committer | Davies Liu <davies.liu@gmail.com> | 2015-07-13 09:47:53 -0700 |
| commit | 9b62e9375f032548d386aec7468e3d0f7c6da7b2 (patch) | |
| tree | 52484c3b921853640be7e31b042b26b593b17bb4 /python/pyspark/ml/param | |
| parent | 7f487c8bde14dbdd244a3493ad11a129ef2bb327 (diff) | |
| download | spark-9b62e9375f032548d386aec7468e3d0f7c6da7b2.tar.gz spark-9b62e9375f032548d386aec7468e3d0f7c6da7b2.tar.bz2 spark-9b62e9375f032548d386aec7468e3d0f7c6da7b2.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:
8496834 [MechCoder] Silence warnings and make pylint tests fail to check if it works in jenkins
57393a3 [MechCoder] undefined-variable
a8e2547 [MechCoder] Minor changes
7753810 [MechCoder] remove trailing whitespace
75c5d2b [MechCoder] Remove blacklisted arguments and pointless statements check
6bde250 [MechCoder] Disable all checks for now
3464666 [MechCoder] Add pylint configuration file
d28109f [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`. |