huaxingao commented on a change in pull request #26035:
[SPARK-29360][PYTHON][ML] PySpark FPGrowthModel supports getter/setter
URL: https://github.com/apache/spark/pull/26035#discussion_r331798830
##########
File path: python/pyspark/ml/fpm.py
##########
@@ -316,26 +399,39 @@ def findFrequentSequentialPatterns(self, dataset):
- `sequence: ArrayType(ArrayType(T))` (T is the item type)
- `freq: Long`
- >>> from pyspark.ml.fpm import PrefixSpan
- >>> from pyspark.sql import Row
- >>> df = sc.parallelize([Row(sequence=[[1, 2], [3]]),
- ... Row(sequence=[[1], [3, 2], [1, 2]]),
- ... Row(sequence=[[1, 2], [5]]),
- ... Row(sequence=[[6]])]).toDF()
- >>> prefixSpan = PrefixSpan(minSupport=0.5, maxPatternLength=5)
- >>>
prefixSpan.findFrequentSequentialPatterns(df).sort("sequence").show(truncate=False)
- +----------+----+
- |sequence |freq|
- +----------+----+
- |[[1]] |3 |
- |[[1], [3]]|2 |
- |[[1, 2]] |3 |
- |[[2]] |3 |
- |[[3]] |2 |
- +----------+----+
-
.. versionadded:: 2.4.0
"""
+
self._transfer_params_to_java()
jdf = self._java_obj.findFrequentSequentialPatterns(dataset._jdf)
return DataFrame(jdf, dataset.sql_ctx)
+
+
+if __name__ == "__main__":
Review comment:
It puzzles me too. Seems to me the doctests have never run before. I guess
nobody noticed this since no explicit error occurred.
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