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."""
      sparse_id_values = string_ops.string_to_hash_bucket_fast(
          columns_to_tensors[self.name].values,
          self.bucket_size,
          name=self.name + "_lookup")
      columns_to_tensors[self] = ops.SparseTensor(
          columns_to_tensors[self.name].indices, sparse_id_values,
          columns_to_tensors[self.name].shape)
function_tokens: def insert_transformed_feature ( self , columns_to_tensors ) : sparse_id_values = string_ops . string_to_hash_bucket_fast ( columns_to_tensors [ self . name ] . values , self . bucket_size , name = self . name + "_lookup" ) columns_to_tensors [ self ] = ops . SparseTensor ( columns_to_tensors [ self . name ] . indices , sparse_id_values , columns_to_tensors [ self . name ] . shape )