class_docstr: A combiner which computes metrics averaging regression errors.
class_docstr_tok: ["A","combiner","which","computes","metrics","averaging","regression","errors","."]
code: def create_accumulator(self) -> _MeanRegressionErrorAccumulator:
      return _MeanRegressionErrorAccumulator()
  
imports: import abc
  import dataclasses
  from typing import Iterable, Optional, Dict
  import apache_beam
  import numpy
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.proto import config_pb2
label_desc: Use image node_id 3 for calling the _MeanRegressionErrorCombiner obj's underlying member method code with example usage: obj.create_accumulator() and returns: _MeanRegressionErrorAccumulator