class_docstr: A combiner which computes metrics averaging regression errors.
class_docstr_tok: ["A","combiner","which","computes","metrics","averaging","regression","errors","."]
code: def merge_accumulators(
      self, accumulators: Iterable[_MeanRegressionErrorAccumulator]
  ) -> _MeanRegressionErrorAccumulator:
      result = next(iter(accumulators))
      for accumulator in accumulators:
          result.merge(accumulator)
      return result
  
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 5 for calling the _MeanRegressionErrorCombiner obj's underlying member method code with example usage: obj.merge_accumulators(accumulators) and returns: result