code: def approxSimilarityJoin(self, datasetA, datasetB, threshold, distCol="distCol"):
          
          threshold = TypeConverters.toFloat(threshold)
          return self._call_java("approxSimilarityJoin", datasetA, datasetB, threshold, distCol)
docs: Join two datasets to approximately find all pairs of rows whose distance are smaller than
          the threshold. If the :py:attr:`outputCol` is missing, the method will transform the data;
          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.