viirya commented on a change in pull request #30285:
URL: https://github.com/apache/spark/pull/30285#discussion_r520027022
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File path: python/pyspark/ml/feature.py
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@@ -278,14 +292,24 @@ def approxSimilarityJoin(self, datasetA, datasetB,
threshold, distCol="distCol")
if the :py:attr:`outputCol` exists, it will use that. This allows
caching of the
transformed data when necessary.
- :param datasetA: One of the datasets to join.
- :param datasetB: Another dataset to join.
- :param threshold: The threshold for the distance of row pairs.
- :param distCol: Output column for storing the distance between each
pair of rows. Use
- "distCol" as default value if it's not specified.
- :return: A joined dataset containing pairs of rows. The original rows
are in columns
- "datasetA" and "datasetB", and a column "distCol" is added to
show the distance
- between each pair.
+ Parameters
+ ----------
+ datasetA : :py:class:`pyspark.sql.DataFrame`
+ One of the datasets to join.
+ datasetA : :py:class:`pyspark.sql.DataFrame`
Review comment:
datasetA -> datasetB
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