class_docstr: Args:
  
      inputCol (str): The name of the input column (default: )
      outputCol (str): The name of the output column
      udf (object): User Defined Python Function to be applied to the DF input col
      udfScala (object): User Defined Function to be applied to the DF input col
class_docstr_tok: ["Args",":","inputCol","(","str",")",":","The","name","of","the","input","column","(","default",":",")","outputCol","(","str",")",":","The","name","of","the","output","column","udf","(","object",")",":","User","Defined","Python","Function","to","be","applied","to","the","DF","input","col","udfScala","(","object",")",":","User","Defined","Function","to","be","applied","to","the","DF","input","col"]
docstr: Args:
  
      inputCols (list): The names of the input columns (default: )
docstr_tok: ["Args",":","inputCols","(","list",")",":","The","names","of","the","input","columns","(","default",":",")"]
code: def setInputCols(self, value):
      """
  
      Args:
  
          inputCols (list): The names of the input columns (default: )
  
      """
      self._set(inputCols=value)
      return self
  
imports: import sys
  from pyspark.ml.param.shared import *
  from synapse.ml.stages._UDFTransformer import _UDFTransformer
  from pyspark import keyword_only
  from pyspark.ml.util import JavaMLReadable, JavaMLWritable
  from pyspark.ml.wrapper import JavaTransformer, JavaEstimator, JavaModel
  from pyspark.ml.common import inherit_doc
  from pyspark.sql.functions import UserDefinedFunction
  from pyspark.ml.common import inherit_doc
  from synapse.ml.core.schema.Utils import *
label_desc: Use image node_id 4 for calling the UDFTransformer obj's underlying member method code with example usage: obj.setInputCols(value) and returns: self