class_docstr: CombineFn to combine dictionaries generated by different evaluators.
code: def merge_accumulators(
      self, accumulators: Iterable[Dict[str, Any]]
  ) -> Dict[str, Any]:
      accumulators = iter(accumulators)
      result = next(accumulators)
      for acc in accumulators:
          self._merge(result, acc)
      return result
  
file_path: model-analysis/tensorflow_model_analysis/evaluators/evaluator.py
imports: from typing import Any, Dict, Iterable, List, NamedTuple, Optional
  import apache_beam
  from tensorflow_model_analysis.extractors import extractor
label_desc: Use image node_id 4 for calling the _CombineEvaluationDictionariesFn obj's underlying member method code with example usage: obj.merge_accumulators(accumulators) and returns: result