parameters: (self, columns_to_tensors)
docstring: Handles sparse column to id conversion.
docstring_summary: Handles sparse column to id conversion.
docstring_tokens: Handles sparse column to id conversion .
function: def insert_transformed_feature(self, columns_to_tensors):
      """Handles sparse column to id conversion."""
      columns_to_tensors[self] = contrib_lookup_ops.string_to_index(
          tensor=columns_to_tensors[self.name],
          mapping=list(self.lookup_config.keys),
          default_value=self.lookup_config.default_value,
          name="lookup")
function_tokens: def insert_transformed_feature ( self , columns_to_tensors ) : columns_to_tensors [ self ] = contrib_lookup_ops . string_to_index ( tensor = columns_to_tensors [ self . name ] , mapping = list ( self . lookup_config . keys ) , default_value = self . lookup_config . default_value , name = "lookup" )