class_docstr: Transformer for common image processing stages.
docstr: Blurs the image using a normalized box filter
  
  Args:
      height (double): The height of the box filter (>= 0)
      width (double): The width of the box filter (>= 0)
docstr_tok: ["Blurs","the","image","using","a","normalized","box","filter","Args",":","height","(","double",")",":","The","height","of","the","box","filter","(",">","=","0",")","width","(","double",")",":","The","width","of","the","box","filter","(",">","=","0",")"]
code: def blur(self, height, width):
      """
      Blurs the image using a normalized box filter
  
      Args:
          height (double): The height of the box filter (>= 0)
          width (double): The width of the box filter (>= 0)
  
      """
      self._java_obj.blur(height, width)
      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 5 for calling the ImageTransformer obj's underlying member method code with example usage: obj.blur(height, width) and returns: self