Github user vijaykiran commented on a diff in the pull request:
https://github.com/apache/spark/pull/10602#discussion_r48839934
--- Diff: python/pyspark/mllib/fpm.py ---
@@ -130,15 +133,22 @@ def train(cls, data, minSupport=0.1,
maxPatternLength=10, maxLocalProjDBSize=320
"""
Finds the complete set of frequent sequential patterns in the
input sequences of itemsets.
- :param data: The input data set, each element contains a sequnce
of itemsets.
- :param minSupport: the minimal support level of the sequential
pattern, any pattern appears
- more than (minSupport * size-of-the-dataset) times will be
output (default: `0.1`)
- :param maxPatternLength: the maximal length of the sequential
pattern, any pattern appears
- less than maxPatternLength will be output. (default: `10`)
- :param maxLocalProjDBSize: The maximum number of items (including
delimiters used in
- the internal storage format) allowed in a projected database
before local
- processing. If a projected database exceeds this size, another
- iteration of distributed prefix growth is run. (default:
`32000000`)
+ :param data:
+ The input data set, each element contains a sequnce of itemsets.
+ :param minSupport:
+ The minimal support level of the sequential pattern, any pattern
appears
+ more than (minSupport * size-of-the-dataset) times will be
output.
+ default: `0.1`)
--- End diff --
I think the format should be (default: `0.1`).
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