class_docstr: Generate feature level statistics using combiner function.
  
  This interface is a simplification of CombinerStatsGenerator for the special
  case of statistics that do not require cross-feature computations. It mirrors
  a beam.CombineFn for the values of a specific feature.
docstr: Returns result of converting accumulator into the output value.
  
  Args:
    accumulator: The final accumulator value.
  
  Returns:
    A proto representing the result of this stats generator.
docstr_tok: ["Returns","result","of","converting","accumulator","into","the","output","value",".","Args",":","accumulator",":","The","final","accumulator","value",".","Returns",":","A","proto","representing","the","result","of","this","stats","generator","."]
code: def extract_output(
      self, accumulator: ACCTYPE
  ) -> statistics_pb2.FeatureNameStatistics:
      """Returns result of converting accumulator into the output value.
  
      Args:
        accumulator: The final accumulator value.
  
      Returns:
        A proto representing the result of this stats generator.
      """
      raise NotImplementedError
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  from typing import Any, Dict, Generic, Hashable, Iterable, List, Optional, Text, TypeVar
  import apache_beam
  import pyarrow
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import input_batch
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 6 for calling the CombinerFeatureStatsGenerator obj's underlying member method code with example usage: obj.extract_output(accumulator) without return types