class_docstr: Computes class weights from labels.
class_docstr_tok: ["Computes","class","weights","from","labels","."]
code: def create_accumulator(self) -> Dict[int, float]:
      return {i: 0.0 for i in self._class_ids}
  
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 2 for calling the _ClassWeightsFromLabelsCombiner obj's underlying member method code with example usage: obj.create_accumulator() and returns: unknown