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 a fresh, empty accumulator.
  
  Returns:
    An empty accumulator.
docstr_tok: ["Returns","a","fresh",",","empty","accumulator",".","Returns",":","An","empty","accumulator","."]
code: def create_accumulator(self) -> ACCTYPE:
      """Returns a fresh, empty accumulator.
  
      Returns:
        An empty accumulator.
      """
      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 2 for calling the CombinerFeatureStatsGenerator obj's underlying member method code with example usage: obj.create_accumulator() without return types