class_docstr: Transformer for common image processing stages.
docstr: Blurs the image by applying a gaussian kernel
  
  Args:
      aperture_size (double): The aperture size, which should be odd and positive
      sigma (double): The standard deviation of the gaussian
docstr_tok: ["Blurs","the","image","by","applying","a","gaussian","kernel","Args",":","aperture_size","(","double",")",":","The","aperture","size",",","which","should","be","odd","and","positive","sigma","(","double",")",":","The","standard","deviation","of","the","gaussian"]
code: def gaussianKernel(self, aperture_size, sigma):
      """
      Blurs the image by applying a gaussian kernel
  
      Args:
          aperture_size (double): The aperture size, which should be odd and positive
          sigma (double): The standard deviation of the gaussian
  
      """
      self._java_obj.gaussianKernel(aperture_size, sigma)
      return self
  
imports: import sys
  from typing import List
  import pyspark
  from pyspark import SparkContext
  from pyspark.ml.common import inherit_doc
  from pyspark.sql.types import *
  from pyspark.sql.types import Row, _create_row
  import numpy
  from synapse.ml.opencv._ImageTransformer import _ImageTransformer
  from pyspark.ml.common import inherit_doc
label_desc: Use image node_id 7 for calling the ImageTransformer obj's underlying member method code with example usage: obj.gaussianKernel(aperture_size, sigma) and returns: self