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[SPARK-21306][ML] OneVsRest should support setWeightCol #18554

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facaiy wants to merge 16 commits into from
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[SPARK-21306][ML] OneVsRest should support setWeightCol #18554

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f178595
BUG: cache weightCol if necessary
facaiy Jul 6, 2017
a3e6e96
TST: add unit test
facaiy Jul 6, 2017
931d02d
TST: concise comment
facaiy Jul 6, 2017
25d681f
ENH: python, cache weightCol
facaiy Jul 7, 2017
c380ba7
BUG: check weightCol defined
facaiy Jul 7, 2017
e511b90
TST: model is not None
facaiy Jul 7, 2017
1c215f3
CLN: use if-indent style
facaiy Jul 7, 2017
2d3ce90
ENH: add weightCol
facaiy Jul 13, 2017
ea92228
TST: modify test case
facaiy Jul 13, 2017
57fc4b3
ENH: add weightCol for python part
facaiy Jul 13, 2017
00a7ed8
CLN: revise comment
facaiy Jul 13, 2017
a57f096
TST: python test for setWeightCol
facaiy Jul 13, 2017
54e0fca
DOC: add description
facaiy Jul 13, 2017
9ba0e2b
TST: classifier doesn't have weightCol
facaiy Jul 19, 2017
db303a0
CLN: mv weightCol to the end
facaiy Jul 26, 2017
8c0beba
TST: remove ovr2 nad ovr4
facaiy Jul 26, 2017
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CLN: use if-indent style
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@facaiy
facaiy committed Jul 7, 2017
commit 1c215f3c682a8e13db7dd71803f36985fc20b8da
6 changes: 3 additions & 3 deletions python/pyspark/ml/classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1546,9 +1546,9 @@ def _fit(self, dataset):

numClasses = int(dataset.agg({labelCol: "max"}).head()["max("+labelCol+")"]) + 1

if (isinstance(classifier, HasWeightCol) and
classifier.isDefined(classifier.weightCol) and
classifier.getWeightCol()):
if (isinstance(classifier, HasWeightCol)
and classifier.isDefined(classifier.weightCol)
and classifier.getWeightCol()):
multiclassLabeled = dataset.select(labelCol, featuresCol, classifier.getWeightCol())
else:
multiclassLabeled = dataset.select(labelCol, featuresCol)
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