class_docstr: Computes class weights from labels.
class_docstr_tok: ["Computes","class","weights","from","labels","."]
code: def merge_accumulators(
      self, accumulators: Iterable[Dict[int, float]]
  ) -> Dict[int, float]:
      accumulators = iter(accumulators)
      result = next(accumulators)
      for accumulator in accumulators:
          for k, v in accumulator.items():
              result[k] += v
      return result
  
file_path: model-analysis/tensorflow_model_analysis/metrics/aggregation.py
imports: from typing import Any, Dict, Iterable, List, Optional
  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
label_desc: Use image node_id 4 for calling the _ClassWeightsFromLabelsCombiner obj's underlying member method code with example usage: obj.merge_accumulators(accumulators) and returns: result