Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/5859#discussion_r29545089
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -889,6 +889,24 @@ def cov(self, col1, col2):
raise ValueError("col2 should be a string.")
return self._jdf.stat().cov(col1, col2)
+ def freqItems(self, cols, support=1e-2):
+ """
+ Finding frequent items for columns, possibly with false positives.
Using the
+ frequent element count algorithm described in
+ "http://dx.doi.org/10.1145/762471.762473, proposed by Karp,
Schenker, and Papadimitriou".
+ Uses a `default` support of 1%. The support must be greater than
1e-4.
+ :func:`DataFrame.freqItems` and
:func:`DataFrameStatFunctions.freqItems` are aliases.
+
+ :param cols: Names of the columns to calculate frequent items for
as a list or tuple of
+ strings.
+ :param support: The frequency with which to consider an item
'frequent'. Default is 1%.
--- End diff --
Move the default value and default support here
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