class_docstr: Computes PredictionDifference.
class_docstr_tok: ["Computes","PredictionDifference","."]
code: def merge_accumulators(
      self,
      accumulators: Iterable[_SymmetricPredictionDifferenceAccumulator],
  ) -> _SymmetricPredictionDifferenceAccumulator:
      result = next(iter(accumulators))
      for accumulator in accumulators:
          result.merge(accumulator)
      return result
  
file_path: model-analysis/tensorflow_model_analysis/metrics/prediction_difference_metrics.py
imports: import dataclasses
  from typing import Optional, Dict, Iterable, List
  import apache_beam
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import model_util
label_desc: Use image node_id 4 for calling the _SymmetricPredictionDifferenceCombiner obj's underlying member method code with example usage: obj.merge_accumulators(accumulators) and returns: result