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[SPARK-19281][PYTHON][ML] spark.ml Python API for FPGrowth #17218

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[SPARK-19281][PYTHON][ML] spark.ml Python API for FPGrowth #17218

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e6935eb
Inital implementation
zero323 Mar 6, 2017
28d072b
Add docstring for FPGrowth and FPGrowthModel
zero323 Mar 10, 2017
a1920ab
Correct transform doctest to reflect SPARK-19940
zero323 Mar 14, 2017
d73f254
Move fpm specific Params from param.shared to fpm
zero323 Mar 16, 2017
5260497
Rename featuresCol to itemsCol (SPARK-19899)
zero323 Mar 16, 2017
feb6af9
Fix style
zero323 Mar 20, 2017
159f2ad
Add missing raise
zero323 Mar 23, 2017
154b5ba
Note that confidence is not used for fitting
zero323 Mar 23, 2017
df6777f
Remove dot from itemscol description
zero323 Mar 23, 2017
90918c5
Remove __init__ from HasItemsCol
zero323 Mar 23, 2017
43c9dcc
Add experimental notes
zero323 Mar 23, 2017
aa45479
Place docstring quotes in separate lines
zero323 Mar 23, 2017
d4ae39a
Add since import
zero323 Mar 23, 2017
6740581
Remove set spark.sql.shuffle.partition from FPGrowthTests
zero323 Mar 23, 2017
33c8971
Add super().setUp() in FPGrowthTests
zero323 Mar 23, 2017
eb4ec26
Sort imports in ml.tests
zero323 Mar 23, 2017
3c7f4f7
Copy Scala docs and add doc entry
zero323 Mar 23, 2017
3521d40
Add ml.fpm to sparktestsupport/modules
zero323 Mar 25, 2017
bdea0ff
Drop range tests and clean docstrings
zero323 Mar 26, 2017
deb2ce7
Move experimental annotation to the top of the docstrings
zero323 Mar 26, 2017
bf0a285
Fix getMinSupport
zero323 Mar 26, 2017
66b85e5
Remove 'single item' note from consequent description
zero323 Mar 26, 2017
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Fix style
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@zero323
zero323 committed Mar 25, 2017
commit feb6af9c4b2734d29f0f29370792d0d2efbc56ef
3 changes: 2 additions & 1 deletion python/pyspark/ml/fpm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,8 @@ class HasItemsCol(Params):
Mixin for param itemsCol: items column name.
"""

itemsCol = Param(Params._dummy(), "itemsCol", "items column name.", typeConverter=TypeConverters.toString)
itemsCol = Param(Params._dummy(), "itemsCol",
"items column name.", typeConverter=TypeConverters.toString)

def __init__(self):
super(HasItemsCol, self).__init__()
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