class_docstr: Computes weighted labels, predictions, and examples.
class_docstr_tok: ["Computes","weighted","labels",",","predictions",",","and","examples","."]
code: def create_accumulator(self) -> _WeightedLabelsPredictionsExamples:
      return _WeightedLabelsPredictionsExamples()
  
imports: from typing import Any, Dict, Iterable, Optional
  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 2 for calling the _WeightedLabelsPredictionsExamplesCombiner obj's underlying member method code with example usage: obj.create_accumulator() and returns: _WeightedLabelsPredictionsExamples